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Ashok Pandey, Associate Research Fellow 1
⚫STATISTICS derived from the
New Latin statisticum collegium ("council of state") Italian word
statista ("statesman" or "politician").
⚫It was introduced into English in 1791 by Sir John Sinclair when he
published the first of 21 volumes titled Statistical Account of Scotland.
STATISTICS*: Statistics is the study of the collection, organization,
analysis, and interpretation of data
*BIOSTATISTICSAFoundation forAnalysis in the Health Sciences, WAYNE W. DANIEL
Introduction
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A. Preparing for the study
B. Tools
C. Analysis
D. Programmes for specific task
* Abramsons and abramsons
STEPS FOR RESEARCH:
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1. Reference Management
2. Sample Size and Power
3. PlanningAclinical Trial
4. Web based survey
A. Preparing for study
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⚫1. Reference management:
a) BiblioExpress: store, arrange, sort, format, export reference(
reference manager)
b) Zotero: + automatically captures citations from most of the pages(
Reference manager + information manager).It is an add on to the
free browser FIREFOX, it can be used only if firefox is open.
c) Mendley:
d) MyNCBI:Allow users to save pubmed researches only.
e) Mekentosj papers: large collection of PDF files managed more
easily. only available for Apple macintosh users, no version for
windows.
f) citeUlike
g) Connotea
h) Hubmed
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⚫2. Sample Size and Power:
1. Describe
2. Compare2
3. PS
4. PASS
5. Lenth's JavaApplets for power and sample size
6. OpenEpi
7. GPower
8. Power upR
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⚫3. Planning a clinical trial: Trial protocol Tool
⚫4. Web surveys: Google forms, Survey forms flash out
while surfing nets, Satisfaction forms after foods at many
restaurants on Tabs.
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⚫B. Tools:
1. Randomization - Etcetera, SISA,Gcalc
2. Calculators - Instacalc, Calcr
3. P- value - Whatis, PQRS
4. Spreadsheet- Kyplot, Lamorte
5. Graphs - RJS Graph, SBHisto
6. Epidemic curve - Decsribe
7. Text editor - Crimson editor
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⚫C.Analysis: General - by Softwares
⚫D.Anaalysis: Specific Task -
1. Misclassification- Describe( single variable),
Comapre2( unpaired data), Pairsetc( paired data)
2. Assessing a scale- Etcetera( compute Cronbach's alpha)
3. Others
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1. To provide the magnitude of any health problem in the
community.
2. To find out the basic factors underlying the ill-health
3. To calculate sample size from large study population while
conducting study/ research in the community.
4. To calculate survival rates of various diseases
5. To examine association between two variables in a given
study.
Applications of software application in public health
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6. To study the prevalence and incidence of a disease.
7. To find out odds ratio, relative risk, attributable risk in case-
control and cohort study.
8. To find out normal distribution of a disease or health related
event
9. To test usefulness of sera and vaccines in the field -
percentages of attacks or deaths among the vaccinated
subjects is compared with that among the unvaccinated ones
to find whether the difference observed is statistically
significant.
10. In epidemiological studies-the role of causative factors
is statistically tested.
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1. Accuracy and speed
2. Versality
3. Graphics
4. Flexibility
5. New variables
6. Volume of data
7. Easy transfer of data
Advantages of using a computer software:
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Applications of statistical software in medical field :
1. compilation, tabulation and diagrammatic presentation
2. Finding averages, coefficient of variation, standard
deviation and standard error and percentiles
3.The application of tests of significance such as Z,
t, X2 , correlation and regression coefficients
4.Construction of life tables to find longevity of life at birth
and at any age
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Commonly used Statistical softwares:
1. EXCEL
2. Epi Info
3. IBM SPSS
4. STATA
5. SAS
6. R Statistical software
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Available Statistical Packages
Proprietary
 Excel
 SPSS
 SAS
 STATA
Free Software
 EpiInfo
 R
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Types of statistical software
window Syntax Window+
syntax
Epi info SAS SPSS
MS Excel R STATA
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Microsoft Excel
COST
 Individual License for
Microsoft Office Professional
$350
 Microsoft Office University
Student License: $99
 Volume Discounts available
for large organizations and
universities
 Free Starter Version available
on some new PCs
PRO
CON
 Nearly ubiquitous and is often pre-
installed on new computers
 User friendly
 Very good for basic descriptive
statistics, charts and plots
 Costs money
 Not sufficient for anything beyond
the most basic statistical analysis
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SPSS
COST
 From $1000 to $12000 per
license depending on license
type.
CON
 Very expensive
 Not adequate for modeling and
cutting edge statistical analysis
 Not able to receive command of
formulas
 Not for systematic review and
metaanalysis
PRO
 Easy to learn and use
 One of the most widely used
statistical packages in
academics and industry
 Has a command line interface
in addition to menu driven user
intefrace
 One of the most powerful
statistical package that is also
easy to use.
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SAS: originally used for management and agriculture
COST
 Complicated pricing model
 $8,500 first year license fee
CON
 Not user friendly
 Steep learning curve
 Relatively poor graphics
capabilities
PRO
 Widely accepted as the leader
in statistical analysis and
modeling
 Widely used in the industry
and academia
 Very flexible and very
powerful.
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STATA
COST
 Cheaper than SPSS
CON
 Not user friendly
 Steap learning curve
PRO
 Excellent for data
manipulation
 Systematic review and meta
analysis can be done besides
other basic statistical
services
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EpiInfo
PRO
 Consists of multiple modules to
accomplish various tasks beyond just
statistical analysis.
 ability to rapidly develop a questionnaire
 customize the data entry process
 quickly enter data into that questionnaire
 analyze the data
 rapid assesment of outbreaks
 display geographic map
 clusters and trends of disease can be known
 color shaded map created
COST
 Free
CON
 Not a dedicated
statistical package
 Not as powerful as
commercial alternative
for performing
advanced analysis and
modeling
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R
• PRO
 Widely used and accepted in
academics
 Very powerful and flexible
 Very large user base
 Lots of books and manuals
 Several User Interface Shells
available
COST
 Free / Open Source
CON
 Not user friendly
 Requires steep learning
curve
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⚫Freely available
⚫The software consists of three modules:
1. Anthropometric calculator
2. Individual assessment
3. Nutritional survey
WHO Anthro (version 3.2.2, January 2011)
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Free / open source Proprietarysoftwar
Aquad(GPL licence, sinceversion
7) (Windows)
NVivo(Windows; Mac OS
announced for 2014)
ELAN (Java-based forWindows,
Mac OS, Linux)
ATLAS.ti (Windows; Mac OS and
iPad announced)
CATMA 3.2 forWindows, Mac
OS, Linux )
f4analyse( Windows, Mac OS
and Linux)
Statistical software for Qualitative Data analysis
ComputerAssisted/Aided Qualitative Data Analysis Software (CAQDAS)
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STATISTICS JOURNALS
⚫American Review of Mathematis And Statistics
⚫Bayesian Analysis
⚫Electronic Journal for History of Probability and Statistics
⚫Electronic Journal of Statistics
⚫Journal of Modern Applied Statistical Method
⚫Journal of Statistical Software
⚫Journal of Statistics Education
⚫REVSTAT
⚫SORT
⚫Sankhya - The Indian Journal of Statistics
⚫Statistics Education Research Journal
⚫Statistics on the Internet
⚫The R Journal
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SPSS - Statistical Package for the
Social Sciences
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What is SPSS?
 SPSS is a comprehensive and flexible statistical analysis and
data management solution.
 SPSS is a computer program used for survey authoring and
deployment, data mining, text analytics, statistical analysis, and
collaboration and deployment.
 SPSS can take data from almost any type of file and use them to
generate tabulated reports, charts, and plots of distributions and
trends, descriptive statistics, and conduct complex statistical analyses.
 SPSS is among the most widely used programs for statistical
analysis in social science.
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About
Its is developed by Norman H. Nie and C. Hadlai Hull of
IBM Corporation in the year 1968.
It is compatible with Windows, Linux, UNIX & Mac
operating systems.
SPSS is among the most widely used programs
for statistical analysis in social science.
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About SPSS Inc.
• SPSS Inc. is a leading worldwide provider of
predictive analytics software and solutions.
• today SPSS has more than 250,000 customers
worldwide, served by more than 1,200 employees in
60 countries.
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Used in…
 Telecommunications,
 Banking,
 Finance,
 Insurance,
 Healthcare,
 Manufacturing,
 Retail,
 Consumer packaged goods,
 Higher education,
 Government,
 and Market research.
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INSTALLATION OFSPSS16.0
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(STUDENT VERSION)
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DATA
VIEW
Kiran Suwal 6/2/2018
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VARIABLE
VIEW
Kiran Suwal 6/2/2018
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OUTPUTNAVIGATOR WINDOW
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SYNTAX
6/2/2018
Kiran Suwal
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6/2/2018
Kiran Suwal
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MISSING VALUES
• set.
• To change this field, click on the Missing Values… button.
• This will open the Define Missing Values: dialog box.
• Enter the appropriate information into the fields.
• When done, click on the Continue button.
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• This field indicates which subset of the data will not be included in the data
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Translate the Questionnaire into SPSS
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Questions in the questionnaire are mapped into
Variables in SPSS
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Question-response formats
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• Closed-Ended
• Open-Ended with numerical response
• Open-Ended with text response
• Multiple response questions
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Respons-format :: Closed-Ended (1)
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How is your satisfaction with the customer
service of the staff of Suxes?
O Excellent
O Good
O Bad
O Very bad
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Coding the answers
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1 = Excellent
2 = Good
3 = Bad
4 = Very bad
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Respons-format : Closed-Ended
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Please indicate your gender.
Female
Male
Codes:
1 = Female
2 = Male
Open-ended with numerical response
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What is your average expenditure in the
restaurant on a weekly basis?
……… euro per week
For how many years have you been registered
as a student at Pandion University?
……… year(s)
Open-ended with text response
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I would like to have the assortment
extended with the following products:
…………………………………………
Processed by
•
•
Coding manually afterwards or
Typing the answers literally (text
variable)
(Auto recode afterwards)
Scale characteristics
• Description
• Order
• Distance
• Nominal
• Ordinal
• Scale
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Levels of measurement
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Nominal
• Your course at Pandion
(Marketing, Int. Business and languages, Int.
Business administration, Management and law,
Health studies, Security);
• Smoker or non smoker (yes, no);
• Choice of a supermarket
(A&P, Wal-Mart, Sears, Aldi, other).
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Levels of measurement
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Ordinal
In your opinion, would you say the prices at
Wal-Mart are
O Higher than Sears
O About the same as Sears O
Lower than Sears
Levels of measurement
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Ordinal
What is your age?
O 15–<25
O 25–<40
O 40–<60
O 60–<90
Levels of measurement
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Ordinal
Statement
Strongly
disagree
Strongly
agree
a. I always look for bargains 1 2 3 4 5
b. I enjoy being outdoors 1 2 3 4 5
c. I love to cook 1 2 3 4 5
Levels of measurement
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Scale
Please indicate your age.
___ Years
How much do you think a typical purchaser of
a $100,000 term life insurance policy pays
per year for that policy?
$ ____
Coding data and the data code book
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Questions: Variables
• Name of the variable
• Variable label
• Value labels (data codes)
• Level of measurement (Measure)
The SPSS Data Editor
Data View
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The SPSS Data Editor
Variable View
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The SPSS Data Editor
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Variable view
– Name
– Type (Numeric)
– Label
– Values (= the codes of the answers)
– Measure (= Level of Measurement)
SPSS Menu’s
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• Analyze
– Frequencies
– Cross tabs
– Tables
SPSS Menu’s
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• Graphs
– Bar
– Pie
– Histogram
– Line
– Boxplot
SPSS Output
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• Separate file in Output Viewer
• Inline Editing of Tables
• Chart Editor for Graphs
Don’t forget to save
– Data file
– Output file
File formats
• Basic format is .SAV
• Supports other common formats such as .XLSX, .CSV, .DAT etc
• SPSS syntax file (.SPS) can be used to convert other formats to SPSS
format
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Analysis
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The Four Windows: Data Editor
● Data Editor
Spreadsheet-like system for defining, entering, editing, and displaying data.
Extension of the saved file will be “sav.”
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The Four Windows: Output Viewer
● Output Viewer
Displays output and errors. Extension of the saved file will be “spv.”
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The Four Windows: Syntax editor
● Syntax Editor
Text editor for syntax composition. Extension of the saved file will be
“sps.”
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The Four Windows: Script Window
● Script Window
Provides the opportunity to write full-blown programs, in a BASIC-like
language. Text editor for syntax composition. Extension of the saved file
will be “sbs.”
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Opening SPSS
● Start → All Programs → SPSS Inc→ SPSS 16.0 →
SPSS 16.0
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Opening SPSS
● The default window will have the data editor
● There are two sheets in the window:
1. Data view 2. Variable view
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Data View window
● The Data View window
This sheet is visible when you first open the Data Editor
and this sheet contains the data
● Click on the tab labeled Variable View
Click
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Variable View window
● This sheet contains information about the data set that is stored
with the dataset
● Name
● The first character of the variable name must be alphabetic
● Variable names must be unique, and have to be less than 64
characters.
● Spaces are NOT allowed.
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Variable View window: Type
● Type
● Click on the ‘type’ box. The two basic types of variables
that you will use are numeric and string. This column
enables you to specify the type of variable.
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Variable View window: Width
● Width
● Width allows you to determine the number of
characters SPSS will allow to be entered for the
variable
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Variable View window: Decimals
● Decimals
● Number of decimals
● It has to be less than or equal to 16
3.14159265
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Variable View window: Label
● Label
● You can specify the details of the variable
● You can write characters with spaces up to 256
characters
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Variable View window: Values
● Values
● This is used and to suggest which numbers
represent which categories when the
variable represents a category
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Defining the value labels
● Click the cell in the values column as shown below
● For the value, and the label, you can put up to 60
characters.
● After defining the values click add and then click OK.
Click
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Practice 1
● How would you put the following information into SPSS?
Value = 1 represents Male and Value = 2 represents Female
N a m e G e n d e r H e i g h t
J A U N I TA 2 5 . 4
S A L LY 2 5 . 3
D O N N A 2 5 . 6
S A B R I N A 2 5 . 7
J O H N 1 5 . 7
M A R K 1 6
E R I C 1 6 . 4
B R U C E 1 5 . 9
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Practice 1 (Solution Sample)
Click
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Click
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Saving the data
● To save the data file you created simply click ‘file’ and
click ‘save as.’ You can save the file in different forms
by clicking “Save as type.”
Click
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Sorting the data
● Click ‘Data’ and then click Sort Cases
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Sorting the data (cont’d)
● Double Click ‘Name of the students.’ Then click
ok.
Click
Click
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Practice 2
● How would you sort the data by the
‘Height’ of students in descending order?
● Answer
● Click data, sort cases, double click ‘height of
students,’ click ‘descending,’ and finally click ok.
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Transforming data
● Click ‘Transform’ and then click ‘Compute Variable…’
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Transforming data (cont’d)
● Example: Adding a new variable named ‘lnheight’ which is
the natural log of height
● Type in lnheight in the ‘Target Variable’ box. Then type in
‘ln(height)’ in the ‘Numeric Expression’ box. Click OK
Click
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Transforming data (cont’d)
● A new variable ‘lnheight’ is added to the table
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Practice 3
● Create a new variable named “sqrtheight”
which is the square root of height.
● Answer
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Features of SPSS
 It is easy to learn and use.
 It includes a full range of data. management
system and editing tools.
 It provides in-depth statistical capabilities.
 It offers complete plotting, reporting and
presentation features.
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Getting data into SPSS
 Creating new SPSS data files
 Opening existing SPSS system files
 Importing data from an ASCIIfile
 Importing data from other file formats
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Entering Data
DATAEDITOR
 The data editor offers a simple and efficient
spreadsheet like facility for entering data and
browsing the working data file.
 This window displays the content of the data file.
 One can create new data files or modify
existing ones.
 One can have only one data file open at a time.
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Cont..
 This editor provides two views of the data,
DATAVIEW
 Displays the actual data values or defined
value labels.
VARIABLE VIEW
 Displays variable definition information,
including defined variable and value labels,
data type, etc..,
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Editing Data
PIVOT TABLE EDITOR
 Output can be modified in many ways with is
editor, and can create multidimensional tables.
Ex:
We can edit text, swap data in rows and
columns
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Cont..
TEXT OUTPUT EDITOR
 Text output not displayed in pivot tables
can be modified with the text output editor.
CHART EDITOR
 High-resolution charts and plots can be
modified in chart windows.
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Saving Data
 We need to save it and give it a name. The default
extension name for saving files is ‘.sav’.
 Ex. SSPS.sav
 Also we can able to retrieving already saved file
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Variables
 Variable is a user defined name of Particular type
of data to hold information (such as income or
gender or temperature or dosage). Array of
variable is a collection values of similar data
types.
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Variables types
1. Numeric
2. Comma
3. Dot
4. Scientific notation
5. Date
6. Custom currency
7. String
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Rules for Variable Names
 Names must begin with a letter.
 Names must not end with a period.
 Names must be no longer than eight
characters.
 Names cannot contain blanks or special
characters.
 Names must be unique.
 Names are not case sensitive. It doesn’t matter if
you call your variable CLIENT, client, or CliENt.
It’s all client to SPSS.
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BASIC STEPS IN DATA ANALYSIS
 Get Your Data Into SPSS:
We can open a previously saved SPSS data
file, read a spreadsheet, database ,or textdata
file, or enter directly in the data
editor.
 Select a Procedure:
Select a procedure from the menus to
calculate statistics or to create a chart.
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Cont..
 Select The Variable For TheAnalysis:
Variables in the data file are displayed in a
dialog box for the procedure.
 Run The Procedure:
Results are displayed in the viewer.
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STATISTICALPROCEDURES
 After entering the data set in data editor or
reading an ASCII data file, we are now ready
to analyze it.
The Procedures Available are
 Reports
 Descriptive Statistics
 Custom Tables
 Compare means
 General Linear model (GLM)
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 Correlate
 Regression
 Loglinear
 Classify
 Data Reduction
 Scale
 Non parametric tests
 Time Series
 Survival
 Multiple response.
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REPORTS
Report is a textual work made with the
specific intention of relaying information or
recounting certain events in a
widely presentable form
DESCRIPTIVE STATISTICS
This provides techniques for summarizing
Data with statistics, charts, and reports.
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Cont..
CUSTOM TABLES
 It provides attractive, flexible, displays of
frequency counts, percentages and other
statistics.
COMPARE MEANS
 This provides techniques for testing
differences among two or more means on their
values for other variable.
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Cont..
GENERAL LINEAR MODEL (GLM)
 This provides technique for testing
univariate and multivariate analysis-of-
including repeated
variance models
measures.
CORRELATE
 This provides measures of association for two
or more Variable measured at the interval
level.
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Cont..
REGRESSION
 This provides a variety of regression
techniques , including Linear, logistic,
nonlinear, weighted, and two-stage least-
squares regression.
LOGLINEAR
 This provides general and hierarchical log-
linear analsis and logit analysis.
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Cont..
CLASSIFY
 This provides cluster and discriminant analysis
DATA REDUCTION
 This provides factor analysis, correspondence
analysis, and optional scaling.
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Cont..
SCALE
 This provides reliability analysis and
multidimensional scaling.
NON PARAMETRIC TESTS
 This provides non-parametric tests for one
sample, or for two and paired or Independent
sample.
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Cont..
TIME SERIES
Provides exponential smoothing, autocorrelated
regression, ARIMA, X11 ARIMA, seasonal decomposition,
spectral analysis, and related techniques.
SURVIVAL
This provides techniques for analyzing the time for some
terminal event to occur, including Kaplan-Meier analysis and
Cox regression.
MULTIPLE RESPONSE:
This provides facilities to define and analyze multiple-
response .
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GRAPHS
BAR
 Generate a simple , clustered , or stacked
bar chart of the data.
LINE
 Generate a simple or multiple line chart of
the data.
AREA
 Generate a simple or stacked area chart of
the data.
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Cont..
PIE
 Generates a simple pie chart or a
composite bar chart from the data.
BOXPLOT
 Generates box plot showing the median,
outline, and extreme cases of individual
variables.
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Cont..
PARETO
Generates Pareto charts, bar charts with a line
superimposed showing the cumulative sum.
CONTROL
Produces the most commonly-used process-
control charts.
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Cont..
NORMAL P-P PLOTS
The cumulative proportions of a variable's
distribution against the cumulative proportions of the
normal distribution.
NORMAL Q-Q PLOTS
The quantiles of a variable's distribution against
the quantiles of the normal distribution.
SEQUENCE
Produces a plot of one or more variables by order
in the file, suitable for examining time-series data.
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Ashok Pandey, Associate Research Fellow 135
Ashok Pandey, Associate Research Fellow 136
Ashok Pandey, Associate Research Fellow 137
TIME SERIES: AUTOCORRELATIONS
• Calculates and plots the autocorrelation function (ACF) and
partial autocorrelation function of one or more series to any
specified number of lags, displaying the Box-Ljung statistic at each
lag to test the overall hypothesis that the ACF is zero at alllags.
Ashok Pandey, Associate Research Fellow 138
Ashok Pandey, Associate Research Fellow 139
TIME SERIES: CROSS-CORRELATIONS
Calculates and plots the cross-correlation
function of two or more series for positive,
negative, and zero lags.
Ashok Pandey, Associate Research Fellow 140
Ashok Pandey, Associate Research Fellow 141
TIME SERIES: SPECTRAL
• Calculates and plots univariate or bivariate periodograms and
spectral density functions, which express variation in a time series as
the sum of a series of sinusoidal components. It can optionally save
various components ofthe frequency analysis as new series.
Ashok Pandey, Associate Research Fellow 142
Ashok Pandey, Associate Research Fellow 143
Advantages
 SPSS offers a user friendliness that most
packages are only now catching up to.
 It is popular, and though that is certainly not
a reason for choosing a statistical package,
many data sets are easily loaded into it and
other programs can easily import SPSS files.
Ashok Pandey, Associate Research Fellow 144
Disadvantages
 For academic use SPSS lags notably behind SAS, R
and even perhaps others that are on the more
mathematical rather than statistical side for modern
data analysis.
 Its menu offerings are typically the most basic of an
analysis and sometimes lacking even then, and it
makes doing an inappropriate analysis very easy.
 It is expensive, sometimes ridiculously so, and even
when you do buy you're really only leasing, and its
license is definitely not user friendly.
 There are often compatibility issues with prior
Ashok Pandey, Associate Research Fellow 145
Practical
Ashok Pandey, Associate Research Fellow 146
Practice 1
●Do a frequency analysis on the variable
“minority”
● Create pie charts for it
●Do the same analysis using the syntax editor
Ashok Pandey, Associate Research Fellow 147
Ashok Pandey, Associate Research Fellow 148
Answer
Click
Ashok Pandey, Associate Research Fellow 149
Descriptives
● Click ‘Analyze,’ ‘Descriptive statistics,’ then
click ‘Descriptives…’
● Click ‘Educational level’ and ‘Beginning
Salary,’ and put it into the variable box.
● Click Options
Click
Ashok Pandey, Associate Research Fellow 150
Descriptives
● The options allows you to analyze other descriptive
statistics besides the mean and Std.
● Click ‘variance’ and ‘kurtosis’
● Finally click ‘Continue’
Click
Click
Ashok Pandey, Associate Research Fellow 151
Descriptives
● Finally Click OK in the Descriptives box. You will be
able to see the result of the analysis.
Ashok Pandey, Associate Research Fellow 152
Regression Analysis
● Click ‘Analyze,’ ‘Regression,’ then click
‘Linear’ from the main menu.
Ashok Pandey, Associate Research Fellow 153
Regression Analysis
● For example let’s analyze the model
● Put ‘Beginning Salary’ as Dependent and ‘Educational Level’ as
Independent.
salbegin  0  1edu 
Click
Click
Ashok Pandey, Associate Research Fellow 154
Regression Analysis
● Clicking OK gives the result
Ashok Pandey, Associate Research Fellow 155
Plotting the regression line
● Click ‘Graphs,’ ‘Legacy Dialogs,’
‘Interactive,’ and ‘Scatterplot’ from the
main menu.
Ashok Pandey, Associate Research Fellow 156
Plotting the regression line
● Drag ‘Current Salary’ into the vertical axis box and ‘Beginning Salary’ in the
horizontal axis box.
● Click ‘Fit’ bar. Make sure the Method is regression in the Fit box. Then
click ‘OK’.
Click
Set this to
Regression!
Ashok Pandey, Associate Research Fellow 157
Ashok Pandey, Associate Research Fellow 158
Thank You
Ashok Pandey, Associate Research Fellow 159
HOW TO CREATE
“QES, REC AND
CHECK” FILE
IN
EPI-DATA
Ashok Pandey, Associate Research Fellow 160
Step 1. CREATE “QES” file
A. Create new folder in your computer so that all epi-data
documents you are going to create are put together.
B. Open EPI-DATA software
C. Click on “Define data” from epi-data window
Ashok Pandey, Associate Research Fellow 1
6
1
161
QES…CON’T…
Ashok Pandey, Associate Research Fellow 1
6
2
D. Select “New .QES file” from Define data options
E.Start by writing your project name in “New. QES file”
window
F.Type “ variable name” first , followed by “Field label” then “Define
type of variable”
162
Variable name and field label
The first word you type are considered as “variable name”
Then the list of full meaning of your variable name are
“field label”
Eg. IDNo ----- (variable name)
Ashok Pandey, Associate Research Fellow 163
Define type of variable
Using “field pick list” menu from epi-data we can decide
weather our variable are
1. Numeric
2. Text
3. Date
5
Ashok Pandey, Associate Research Fellow 164
To make “ID number” to be assigned automatically
Ashok Pandey, Associate Research Fellow 16
5
• From “Field pick list” menu select “Other” then select “Auto ID
number”, put the number of field length (1,2,3…) then click
“Insert”
To insert date type of variable
Ashok Pandey, Associate Research Fellow 16
6
From “Field pick list menu” click on “Date” , select the
date formats you want to use then click “Insert”.
1. DD/MM/YYYY--- 12/03/2018 ---Standard date format
2. MM/DD/YYYY---03/12/2018
3. YYYY/MM/DD ---2018/03/12
Numeric type of variable
Ashok Pandey, Associate Research Fellow 16
7
and Date
• We use it for variables {other than ID ,Text
variables} which we insert our data using NUMBER .
• Eg 1 = Yes (for “Yes” response we insert “1”)
2 = No (For “No” type response we insert “2”)
Create numeric type of variable using two ways
Ashok Pandey, Associate Research Fellow 16
8
1. Using “FIELD PICK LIST” MENU from epi data window
 From “Field pick list menu” click on “Numeric” then decide the number of
digits before and after decimal points.
Eg. If we want no digits after decimal points we make digits after decimal
points as= “0”
CON’T…
Ashok Pandey, Associate Research Fellow 16
9
And we make before decimal points based on our interest,
(that is based on our sample size).
For example----- if our sample size is 100, we make it 3. i.e field
length is 3 (# # #), for 50 sample, we make it as “2”, i.e the field
length is 2 (# #).
Second method to define Numeric type of variables
Ashok Pandey, Associate Research Fellow 17
0
2. Using short cuts
Click shift+# on your computer
E.g for 200 we type as (shift 3x i.e ###)
After finish “QES”file “align fields”
Ashok Pandey, Associate Research Fellow 17
1
• To make our data entry form more attractive need to align
fields
• Select “EDIT” Menu from epi-data, click “Align fields”
N.B. first click on the variable with long variable label.
Step 2. CREATE “REC” FILE
Ashok Pandey, Associate Research Fellow 17
2
First save our “QES file” on the folder we create before and
label it.
Second click “Make data file” at epi-data menu, then select “Make
data file”
Step 3. Create “CHECK FILE”
In this part we Set rules and commands for our data
1. Define range and legal values for continuous type
of variables (e.g. age, income…). message.
14
Ashok Pandey, Associate Research Fellow 173
CHECK…CON’T…
Ashok Pandey, Associate Research Fellow 17
4
2. Set “MUST ENTER & REPEAT” commands
We will not pass any fields without entering data if we set “Must
enter commands”
174
CHECK…CON’T…
Ashok Pandey, Associate Research Fellow 17
5
3. “SHOW” & “TYPE COMMENT” COMMANDS
This commands help us during data entry by showing us list of
responses to chose among the lists and type entered response for
each respondents.
175
CHECK…CON’T…
4. Define variable labels for “categorical type of variables” (1=male,
2= Female). N.B. IF the categorical variable is made of two words it
must put under double quotation.
e.g. marital status---1. “never married”--- Two words
Ashok Pandey, Associate Research Fellow 176
Cont’d…
• 5. Set “SKIP” Commands (IF the answer for question “A” is “No” then
skip question number “B” and go to question number “C”).
Select the question where this commands setted, then Click on
“edit” in check file, then click enter and type the followings :-
AFTER ENTRY
•IF A <> 1
THEN
GOTO C
• ENDIF
Ashok Pandey, Associate Research Fellow 177
Step 4. EXPORT “EPI-DATA” FILE TO SPSS
Ashok Pandey, Associate Research Fellow 17
8
 Open your epi-data file, select “Export data” from epi-data window, select
SPSS, click ok
 Second select and open spss data file from folder where your epidata qes ,rec
and check files found together under the same folder.
 Third from opened spss window click on “RUN” and select “run all”
 Fourth save the new exported spss data.
178
THANK YOU ALL
Ashok Pandey, Associate Research Fellow 17
9
179
Introduction to Endnote
What is Endnote?
Create and manages reference lists.
Enables searching of reference "libraries" by author, keyword, date,
etc.
In Word documents, automatically formats the references in APA
format for you.
Many online databases allow references to be sent directly into
Endnote.
Can also store and organise images, graphs, tables, etc.
Ashok Pandey, Associate Research Fellow 181
Entering References:
Three ways:
(a) Manually type them in.
(b) Save files from online search facilities.
(c) Search online databases through Endnote and retrieve
the references directly to your Endnote library
Ashok Pandey, Associate Research Fellow 182
Manually Entering References (1)
(a) To start a
new Endnote
library,
click on "file",
then "new"
(b) This box
appears -
enter a
filename for
your new
library
Ashok Pandey, Associate Research Fellow 183
Manually Entering References (2)
Your new
reference library
(empty at the
moment...)
Ashok Pandey, Associate Research Fellow 184
Manually Entering References (3)
To enter a
reference, go
to "New
Reference"
Ashok Pandey, Associate Research Fellow 185
Manually Entering References (4)
Enter details of the
reference in the
relevant "fields"
(Optional how
many you use).
Select which
type of
reference you
want (journal,
book, comic,
etc.)
Ashok Pandey, Associate Research Fellow 186
Manually Entering References (5)
Ashok Pandey, Associate Research Fellow 187
Manually Entering References (6)
Click on "Close
Reference" to finish
entering this
particular reference.
Click on "New
Reference" to add
another reference.
Ashok Pandey, Associate Research Fellow 188
A completed reference library:
Ashok Pandey, Associate Research Fellow 189
Searching a reference library:
Ashok Pandey, Associate Research Fellow 190
Information about References:
Each Reference:
Stores all the information needed to cite it in a reference list
(e.g. in a lab report or essay).
Within a library, each reference has a unique record number
which cannot be changed.
The fields (author, year etc) can be modified, deleted or new
ones added.
There are many reference types (book, journal article, newpaper
article, chart, equation, etc...)
Ashok Pandey, Associate Research Fellow 191
Downloading references from the Web of Knowledge:
1. Go to library website and select "online resources":
Ashok Pandey, Associate Research Fellow 192
2. Scroll down to "Web of Knowledge":
Ashok Pandey, Associate Research Fellow 193
3. Click on "Web of Knowledge":
Ashok Pandey, Associate Research Fellow 194
4. Click on "Web of Science":
Ashok Pandey, Associate Research Fellow 195
4. Perform your search:
Ashok Pandey, Associate Research Fellow 196
5. Tick the references you want to retain.
Ashok Pandey, Associate Research Fellow 197
6. Click on "Save to Endnote...".
Ashok Pandey, Associate Research Fellow 198
References are exported to your chosen Endnote library:
NB: shows only the new references (click on "Show all
references" to see earlier entries).
Ashok Pandey, Associate Research Fellow 199
Downloading citations from ScienceDirect:
1. Go to library website, click on ScienceDirect:
Ashok Pandey, Associate Research Fellow 200
2. Perform your search, then click on "export citations":
Ashok Pandey, Associate Research Fellow 201
3. Pick "citations only" or "citations and abstracts":
Ashok Pandey, Associate Research Fellow 202
5. Entries are added to the chosen Endnote library (this
time, with abstracts as well):
Ashok Pandey, Associate Research Fellow 203
Using Endnote with Word
Ashok Pandey, Associate Research Fellow 204
Endnote adds an extra menu within Microsoft Word:
Ashok Pandey, Associate Research Fellow 205
Referencing conventions:
In essays and lab-reports, all cited work must be properly
referenced, by a reference in the text (author surname and date of
publication), and an entry in a reference list that contains complete
details of each reference:
In the text: "Field and Hole (2003) give lots of useful advice". Or
"Learning statistics has been shown to be easier than people think
(Field and Hole, 2003)".
In the reference list: Field, A. and Hole, G. (2003). How to design and
report experiments. London: Sage.
Problem is that the conventions for this differ slightly between
journals (although most use "A.P.A. format").
Ashok Pandey, Associate Research Fellow 206
Start Word and open the document you are writing.
To cite a source, position the cursor where you want the reference to
appear, then click on "Insert Selected Citation":
Inserting references in the text:
Ashok Pandey, Associate Research Fellow 207
Endnote
(a) adds the reference in the text;
(b) adds the full reference to a reference list at the end of the
document
- correctly-formated and in alphabetical order!
This is a load of rubbish I'm writing in order to show you how to use "Endnote"
(Duck and Mouse 2007). Here's some more tosh that I've just typed (Sooty and
Sweep 2007), and yet more (Lala, Tinky-winky et al. 2007).
Duck, D. and M. Mouse (2007). "Our living hell: life as prisoners in Disneyland."
Animal Behaviour 29(5): 179-199.
Lala, Tinky-winky, et al. (2007). "Effects of the media on body-image in telly-
tubbies." Journal of banal research 99: 201-203.
Sooty and Sweep (2007). Hands up: we don't have a leg to stand on. Congleton,
Garbage Books Inc.
Ashok Pandey, Associate Research Fellow 208
Formatting the Bibliography:
You can format the references in different styles by choosing
‘Format Bibliography’ from the Endnote menu.
Use "APA 5th" as your output style
Ashok Pandey, Associate Research Fellow 209
More Information, and how to get Endnote:
Endnote is installed on all campus PC's.
For your own computer, you need to purchase a copy.
See the Sussex University IT centre's website:
Ashok Pandey, Associate Research Fellow 210
wants to help researchers
organize, share, and discover
research papers.
Mendeley
Ashok Pandey, Associate Research Fellow 211
 What is Mendeley?
 Creating your library
 Managing your documents & references
 Citing and sharing references
Ashok Pandey, Associate Research Fellow 212
Based in London, Mendeley are 15 researchers, graduates and
software developers from...
...backed by co-founders and
former executives of:
Ashok Pandey, Associate Research Fellow 213
research libraries
researchers papers
disciplines
music libraries
artists
songs
genres
Last.fm
Mendeley
Ashok Pandey, Associate Research Fellow 214
What is Mendeley?
Mendeley is free academic software
(Win, Mac & Linux) to manage, share,
read, annotate and cite your research
papers...
...and a research network to manage
your papers online, discover research
trends and statistics, and to connect to
like-minded researchers.
Ashok Pandey, Associate Research Fellow 215
What is Mendeley?
Set up and manage your collections
Add tags & notes and edit document details
Library showing all your documents (citation or table view)
Filter your papers by authors,
keywords, tags, or publications
Ashok Pandey, Associate Research Fellow 216
Creating your library
Ashok Pandey, Associate Research Fellow 217
Adding your papers
You have different options to set up your library:
• Add single files or an entire folder
• “Watch a folder” to automatically import PDF files
• Add existing EndNote/BibTeX/RIS databases, or…
…drag & drop PDF files into the library pane…
… and Mendeley will try to extract the
document details automatically
Ashok Pandey, Associate Research Fellow 218
Document details lookup
You can also try to complete the document
details by querying various databases
(Crossref, PubMed, ArXiv or Google Scholar)
Enter the DOI, PubMed, or ArXiv ID and
click on the magnifier glass to start lookup
And remember – made a mistake?
Press CTRL+Z (or Edit > Undo)
to undo the last step
Ashok Pandey, Associate Research Fellow 219
Web Importer
To install the Web Importer,
drag & drop the bookmarklet to
your Favorites/Bookmarks
in your internet browser
Supported sites
www.mendeley.com/import
The Web Importer helps you to
grab citations off the web
Ashok Pandey, Associate Research Fellow 220
Using the Web Importer
On the web page with
the reference(s) you
want to capture: click on
the bookmarklet…
…then click on “Import” to import
the reference/paper to your
Mendeley library. If
possible/available, also the
associated PDF will be imported.
Ashok Pandey, Associate Research Fellow 221
Synchronize and manage your library online
Synchronize
your library
You can also add
references and
edit & manage your
library online
In addition, you will get statistics
about your library, your impact
and your research field (see later)
Ashok Pandey, Associate Research Fellow 222
Manage your library
Star your favorite papers
Documents can be marked read/unread
Filter by authors, tags, publications or keywords
Open attached PDF files in integrated viewer
Ashok Pandey, Associate Research Fellow 223
Search as you type
Ashok Pandey, Associate Research Fellow 224
Full text search in Mendeley’s PDF viewer
Ashok Pandey, Associate Research Fellow 225
Annotate and highlight
Ashok Pandey, Associate Research Fellow 226
Mendeley‘s File Organizer
Mendeley can also organize
your PDF files in a consistent
folder structure on your hard
disk and rename them
according to their document
details
You can find the File Organizer in
Tools > Options > File Organizer
Ashok Pandey, Associate Research Fellow 227
Citing and sharing references
Ashok Pandey, Associate Research Fellow 228
Citing in Word & Open Office
Click on “Insert Citation” in Word
Highlight the paper you want to cite
Ashok Pandey, Associate Research Fellow 229
Citing in Word & Open Office
“Send citation” to Word
Citation will show up based on selected style
Cite into Google documents
or other editors by copy & paste
Ashok Pandey, Associate Research Fellow 230
Creating bibliographies
Insert a bibliography based on the citations
Ashok Pandey, Associate Research Fellow 231
Public Collections (“Reading Lists”)
You can make a collection public in “Edit Settings”
View the collection online –
other users can subscribe via
clicking on “Subscribe” on
the collection page.
A Public Collection acts like a “Reading List” –
you can add references to the collection, and
users who have subscribed to this collection will
get the references pushed into their Mendeley
account. PDFs are not attached.
Ashok Pandey, Associate Research Fellow 232
Shared Collections
A shared collection allows a
research group to create a private,
shared library and to
collaboratively edit and annotate
documents and references.
Only the members of this
collection can see it online
Ashok Pandey, Associate Research Fellow 233
Create your professional research profile
Ashok Pandey, Associate Research Fellow 234
Discover research statistics
Ashok Pandey, Associate Research Fellow 235
Discover research statistics
What is your impact?
Ashok Pandey, Associate Research Fellow 236
Leave feedback and see what’s coming next
Visit http://feedback.mendeley.com
to see what others are saying, leave
feedback, request features or report bugs
Ashok Pandey, Associate Research Fellow 237

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Spss and software

  • 1. Ashok Pandey, Associate Research Fellow 1
  • 2. ⚫STATISTICS derived from the New Latin statisticum collegium ("council of state") Italian word statista ("statesman" or "politician"). ⚫It was introduced into English in 1791 by Sir John Sinclair when he published the first of 21 volumes titled Statistical Account of Scotland. STATISTICS*: Statistics is the study of the collection, organization, analysis, and interpretation of data *BIOSTATISTICSAFoundation forAnalysis in the Health Sciences, WAYNE W. DANIEL Introduction Ashok Pandey, Associate Research Fellow 2
  • 3. A. Preparing for the study B. Tools C. Analysis D. Programmes for specific task * Abramsons and abramsons STEPS FOR RESEARCH: Ashok Pandey, Associate Research Fellow 3
  • 4. 1. Reference Management 2. Sample Size and Power 3. PlanningAclinical Trial 4. Web based survey A. Preparing for study Ashok Pandey, Associate Research Fellow 4
  • 5. ⚫1. Reference management: a) BiblioExpress: store, arrange, sort, format, export reference( reference manager) b) Zotero: + automatically captures citations from most of the pages( Reference manager + information manager).It is an add on to the free browser FIREFOX, it can be used only if firefox is open. c) Mendley: d) MyNCBI:Allow users to save pubmed researches only. e) Mekentosj papers: large collection of PDF files managed more easily. only available for Apple macintosh users, no version for windows. f) citeUlike g) Connotea h) Hubmed Ashok Pandey, Associate Research Fellow 5
  • 6. ⚫2. Sample Size and Power: 1. Describe 2. Compare2 3. PS 4. PASS 5. Lenth's JavaApplets for power and sample size 6. OpenEpi 7. GPower 8. Power upR Ashok Pandey, Associate Research Fellow 6
  • 7. ⚫3. Planning a clinical trial: Trial protocol Tool ⚫4. Web surveys: Google forms, Survey forms flash out while surfing nets, Satisfaction forms after foods at many restaurants on Tabs. Ashok Pandey, Associate Research Fellow 7
  • 8. ⚫B. Tools: 1. Randomization - Etcetera, SISA,Gcalc 2. Calculators - Instacalc, Calcr 3. P- value - Whatis, PQRS 4. Spreadsheet- Kyplot, Lamorte 5. Graphs - RJS Graph, SBHisto 6. Epidemic curve - Decsribe 7. Text editor - Crimson editor Ashok Pandey, Associate Research Fellow 8
  • 9. ⚫C.Analysis: General - by Softwares ⚫D.Anaalysis: Specific Task - 1. Misclassification- Describe( single variable), Comapre2( unpaired data), Pairsetc( paired data) 2. Assessing a scale- Etcetera( compute Cronbach's alpha) 3. Others Ashok Pandey, Associate Research Fellow 9
  • 10. 1. To provide the magnitude of any health problem in the community. 2. To find out the basic factors underlying the ill-health 3. To calculate sample size from large study population while conducting study/ research in the community. 4. To calculate survival rates of various diseases 5. To examine association between two variables in a given study. Applications of software application in public health Ashok Pandey, Associate Research Fellow 10
  • 11. 6. To study the prevalence and incidence of a disease. 7. To find out odds ratio, relative risk, attributable risk in case- control and cohort study. 8. To find out normal distribution of a disease or health related event 9. To test usefulness of sera and vaccines in the field - percentages of attacks or deaths among the vaccinated subjects is compared with that among the unvaccinated ones to find whether the difference observed is statistically significant. 10. In epidemiological studies-the role of causative factors is statistically tested. Ashok Pandey, Associate Research Fellow 11
  • 12. 1. Accuracy and speed 2. Versality 3. Graphics 4. Flexibility 5. New variables 6. Volume of data 7. Easy transfer of data Advantages of using a computer software: Ashok Pandey, Associate Research Fellow 12
  • 13. Applications of statistical software in medical field : 1. compilation, tabulation and diagrammatic presentation 2. Finding averages, coefficient of variation, standard deviation and standard error and percentiles 3.The application of tests of significance such as Z, t, X2 , correlation and regression coefficients 4.Construction of life tables to find longevity of life at birth and at any age Ashok Pandey, Associate Research Fellow 13
  • 14. Commonly used Statistical softwares: 1. EXCEL 2. Epi Info 3. IBM SPSS 4. STATA 5. SAS 6. R Statistical software Ashok Pandey, Associate Research Fellow 14
  • 15. Available Statistical Packages Proprietary  Excel  SPSS  SAS  STATA Free Software  EpiInfo  R 19 Ashok Pandey, Associate Research Fellow 15
  • 16. Types of statistical software window Syntax Window+ syntax Epi info SAS SPSS MS Excel R STATA Ashok Pandey, Associate Research Fellow 16
  • 17. Microsoft Excel COST  Individual License for Microsoft Office Professional $350  Microsoft Office University Student License: $99  Volume Discounts available for large organizations and universities  Free Starter Version available on some new PCs PRO CON  Nearly ubiquitous and is often pre- installed on new computers  User friendly  Very good for basic descriptive statistics, charts and plots  Costs money  Not sufficient for anything beyond the most basic statistical analysis 21 Ashok Pandey, Associate Research Fellow 17
  • 18. SPSS COST  From $1000 to $12000 per license depending on license type. CON  Very expensive  Not adequate for modeling and cutting edge statistical analysis  Not able to receive command of formulas  Not for systematic review and metaanalysis PRO  Easy to learn and use  One of the most widely used statistical packages in academics and industry  Has a command line interface in addition to menu driven user intefrace  One of the most powerful statistical package that is also easy to use. 22 Ashok Pandey, Associate Research Fellow 18
  • 19. SAS: originally used for management and agriculture COST  Complicated pricing model  $8,500 first year license fee CON  Not user friendly  Steep learning curve  Relatively poor graphics capabilities PRO  Widely accepted as the leader in statistical analysis and modeling  Widely used in the industry and academia  Very flexible and very powerful. 24 Ashok Pandey, Associate Research Fellow 19
  • 20. STATA COST  Cheaper than SPSS CON  Not user friendly  Steap learning curve PRO  Excellent for data manipulation  Systematic review and meta analysis can be done besides other basic statistical services 26 Ashok Pandey, Associate Research Fellow 20
  • 21. EpiInfo PRO  Consists of multiple modules to accomplish various tasks beyond just statistical analysis.  ability to rapidly develop a questionnaire  customize the data entry process  quickly enter data into that questionnaire  analyze the data  rapid assesment of outbreaks  display geographic map  clusters and trends of disease can be known  color shaded map created COST  Free CON  Not a dedicated statistical package  Not as powerful as commercial alternative for performing advanced analysis and modeling 28 Ashok Pandey, Associate Research Fellow 21
  • 22. R • PRO  Widely used and accepted in academics  Very powerful and flexible  Very large user base  Lots of books and manuals  Several User Interface Shells available COST  Free / Open Source CON  Not user friendly  Requires steep learning curve 30 Ashok Pandey, Associate Research Fellow 22
  • 23. ⚫Freely available ⚫The software consists of three modules: 1. Anthropometric calculator 2. Individual assessment 3. Nutritional survey WHO Anthro (version 3.2.2, January 2011) Ashok Pandey, Associate Research Fellow 23
  • 24. 47 Ashok Pandey, Associate Research Fellow 24
  • 25. Free / open source Proprietarysoftwar Aquad(GPL licence, sinceversion 7) (Windows) NVivo(Windows; Mac OS announced for 2014) ELAN (Java-based forWindows, Mac OS, Linux) ATLAS.ti (Windows; Mac OS and iPad announced) CATMA 3.2 forWindows, Mac OS, Linux ) f4analyse( Windows, Mac OS and Linux) Statistical software for Qualitative Data analysis ComputerAssisted/Aided Qualitative Data Analysis Software (CAQDAS) Ashok Pandey, Associate Research Fellow 25
  • 26. STATISTICS JOURNALS ⚫American Review of Mathematis And Statistics ⚫Bayesian Analysis ⚫Electronic Journal for History of Probability and Statistics ⚫Electronic Journal of Statistics ⚫Journal of Modern Applied Statistical Method ⚫Journal of Statistical Software ⚫Journal of Statistics Education ⚫REVSTAT ⚫SORT ⚫Sankhya - The Indian Journal of Statistics ⚫Statistics Education Research Journal ⚫Statistics on the Internet ⚫The R Journal Ashok Pandey, Associate Research Fellow 26
  • 27. Ashok Pandey, Associate Research Fellow 27
  • 28. SPSS - Statistical Package for the Social Sciences Ashok Pandey, Associate Research Fellow 28
  • 29. What is SPSS?  SPSS is a comprehensive and flexible statistical analysis and data management solution.  SPSS is a computer program used for survey authoring and deployment, data mining, text analytics, statistical analysis, and collaboration and deployment.  SPSS can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct complex statistical analyses.  SPSS is among the most widely used programs for statistical analysis in social science. Ashok Pandey, Associate Research Fellow 29
  • 30. About Its is developed by Norman H. Nie and C. Hadlai Hull of IBM Corporation in the year 1968. It is compatible with Windows, Linux, UNIX & Mac operating systems. SPSS is among the most widely used programs for statistical analysis in social science. Ashok Pandey, Associate Research Fellow 30
  • 31. About SPSS Inc. • SPSS Inc. is a leading worldwide provider of predictive analytics software and solutions. • today SPSS has more than 250,000 customers worldwide, served by more than 1,200 employees in 60 countries. Ashok Pandey, Associate Research Fellow 31
  • 32. Used in…  Telecommunications,  Banking,  Finance,  Insurance,  Healthcare,  Manufacturing,  Retail,  Consumer packaged goods,  Higher education,  Government,  and Market research. Ashok Pandey, Associate Research Fellow 32
  • 33. INSTALLATION OFSPSS16.0 Ashok Pandey, Associate Research Fellow (STUDENT VERSION) 33
  • 34. Ashok Pandey, Associate Research Fellow 34
  • 35. Ashok Pandey, Associate Research Fellow 35
  • 36. Ashok Pandey, Associate Research Fellow 36
  • 37. Ashok Pandey, Associate Research Fellow 37
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  • 46. DATA VIEW Kiran Suwal 6/2/2018 Ashok Pandey, Associate Research Fellow 46
  • 47. VARIABLE VIEW Kiran Suwal 6/2/2018 Ashok Pandey, Associate Research Fellow 47
  • 48. OUTPUTNAVIGATOR WINDOW Ashok Pandey, Associate Research Fellow 48
  • 49. SYNTAX 6/2/2018 Kiran Suwal Ashok Pandey, Associate Research Fellow 49
  • 50. 6/2/2018 Kiran Suwal Ashok Pandey, Associate Research Fellow 50
  • 51. Ashok Pandey, Associate Research Fellow 51
  • 52. MISSING VALUES • set. • To change this field, click on the Missing Values… button. • This will open the Define Missing Values: dialog box. • Enter the appropriate information into the fields. • When done, click on the Continue button. Ashok Pandey, Associate Research Fellow • This field indicates which subset of the data will not be included in the data 52
  • 53. Ashok Pandey, Associate Research Fellow 53
  • 54. Translate the Questionnaire into SPSS Ashok Pandey, Associate Research Fellow Questions in the questionnaire are mapped into Variables in SPSS 54
  • 55. Question-response formats Ashok Pandey, Associate Research Fellow • Closed-Ended • Open-Ended with numerical response • Open-Ended with text response • Multiple response questions 55
  • 56. Respons-format :: Closed-Ended (1) Ashok Pandey, Associate Research Fellow How is your satisfaction with the customer service of the staff of Suxes? O Excellent O Good O Bad O Very bad 56
  • 57. Coding the answers Ashok Pandey, Associate Research Fellow 1 = Excellent 2 = Good 3 = Bad 4 = Very bad 57
  • 58. Respons-format : Closed-Ended Ashok Pandey, Associate Research Fellow dia 58 Please indicate your gender. Female Male Codes: 1 = Female 2 = Male
  • 59. Open-ended with numerical response Ashok Pandey, Associate Research Fellow dia 59 What is your average expenditure in the restaurant on a weekly basis? ……… euro per week For how many years have you been registered as a student at Pandion University? ……… year(s)
  • 60. Open-ended with text response Ashok Pandey, Associate Research Fellow dia 60 I would like to have the assortment extended with the following products: ………………………………………… Processed by • • Coding manually afterwards or Typing the answers literally (text variable) (Auto recode afterwards)
  • 61. Scale characteristics • Description • Order • Distance • Nominal • Ordinal • Scale Ashok Pandey, Associate Research Fellow 61
  • 62. Levels of measurement Ashok Pandey, Associate Research Fellow Nominal • Your course at Pandion (Marketing, Int. Business and languages, Int. Business administration, Management and law, Health studies, Security); • Smoker or non smoker (yes, no); • Choice of a supermarket (A&P, Wal-Mart, Sears, Aldi, other). 62
  • 63. Levels of measurement Ashok Pandey, Associate Research Fellow dia 63 Ordinal In your opinion, would you say the prices at Wal-Mart are O Higher than Sears O About the same as Sears O Lower than Sears
  • 64. Levels of measurement Ashok Pandey, Associate Research Fellow dia 64 Ordinal What is your age? O 15–<25 O 25–<40 O 40–<60 O 60–<90
  • 65. Levels of measurement Ashok Pandey, Associate Research Fellow dia 65 Ordinal Statement Strongly disagree Strongly agree a. I always look for bargains 1 2 3 4 5 b. I enjoy being outdoors 1 2 3 4 5 c. I love to cook 1 2 3 4 5
  • 66. Levels of measurement Ashok Pandey, Associate Research Fellow dia 66 Scale Please indicate your age. ___ Years How much do you think a typical purchaser of a $100,000 term life insurance policy pays per year for that policy? $ ____
  • 67. Coding data and the data code book Ashok Pandey, Associate Research Fellow dia 67 Questions: Variables • Name of the variable • Variable label • Value labels (data codes) • Level of measurement (Measure)
  • 68. The SPSS Data Editor Data View Ashok Pandey, Associate Research Fellow dia 68
  • 69. The SPSS Data Editor Variable View Ashok Pandey, Associate Research Fellow dia 69
  • 70. The SPSS Data Editor Ashok Pandey, Associate Research Fellow dia 70 Variable view – Name – Type (Numeric) – Label – Values (= the codes of the answers) – Measure (= Level of Measurement)
  • 71. SPSS Menu’s Ashok Pandey, Associate Research Fellow dia 71 • Analyze – Frequencies – Cross tabs – Tables
  • 72. SPSS Menu’s Ashok Pandey, Associate Research Fellow dia 72 • Graphs – Bar – Pie – Histogram – Line – Boxplot
  • 73. SPSS Output Ashok Pandey, Associate Research Fellow dia 73 • Separate file in Output Viewer • Inline Editing of Tables • Chart Editor for Graphs Don’t forget to save – Data file – Output file
  • 74. File formats • Basic format is .SAV • Supports other common formats such as .XLSX, .CSV, .DAT etc • SPSS syntax file (.SPS) can be used to convert other formats to SPSS format Ashok Pandey, Associate Research Fellow 74
  • 75. Analysis Ashok Pandey, Associate Research Fellow 75
  • 76. Ashok Pandey, Associate Research Fellow 76
  • 77. The Four Windows: Data Editor ● Data Editor Spreadsheet-like system for defining, entering, editing, and displaying data. Extension of the saved file will be “sav.” Ashok Pandey, Associate Research Fellow 77
  • 78. The Four Windows: Output Viewer ● Output Viewer Displays output and errors. Extension of the saved file will be “spv.” Ashok Pandey, Associate Research Fellow 78
  • 79. The Four Windows: Syntax editor ● Syntax Editor Text editor for syntax composition. Extension of the saved file will be “sps.” Ashok Pandey, Associate Research Fellow 79
  • 80. The Four Windows: Script Window ● Script Window Provides the opportunity to write full-blown programs, in a BASIC-like language. Text editor for syntax composition. Extension of the saved file will be “sbs.” Ashok Pandey, Associate Research Fellow 80
  • 81. Ashok Pandey, Associate Research Fellow 81
  • 82. Opening SPSS ● Start → All Programs → SPSS Inc→ SPSS 16.0 → SPSS 16.0 Ashok Pandey, Associate Research Fellow 82
  • 83. Opening SPSS ● The default window will have the data editor ● There are two sheets in the window: 1. Data view 2. Variable view Ashok Pandey, Associate Research Fellow 83
  • 84. Data View window ● The Data View window This sheet is visible when you first open the Data Editor and this sheet contains the data ● Click on the tab labeled Variable View Click Ashok Pandey, Associate Research Fellow 84
  • 85. Variable View window ● This sheet contains information about the data set that is stored with the dataset ● Name ● The first character of the variable name must be alphabetic ● Variable names must be unique, and have to be less than 64 characters. ● Spaces are NOT allowed. Ashok Pandey, Associate Research Fellow 85
  • 86. Variable View window: Type ● Type ● Click on the ‘type’ box. The two basic types of variables that you will use are numeric and string. This column enables you to specify the type of variable. Ashok Pandey, Associate Research Fellow 86
  • 87. Variable View window: Width ● Width ● Width allows you to determine the number of characters SPSS will allow to be entered for the variable Ashok Pandey, Associate Research Fellow 87
  • 88. Variable View window: Decimals ● Decimals ● Number of decimals ● It has to be less than or equal to 16 3.14159265 Ashok Pandey, Associate Research Fellow 88
  • 89. Variable View window: Label ● Label ● You can specify the details of the variable ● You can write characters with spaces up to 256 characters Ashok Pandey, Associate Research Fellow 89
  • 90. Variable View window: Values ● Values ● This is used and to suggest which numbers represent which categories when the variable represents a category Ashok Pandey, Associate Research Fellow 90
  • 91. Defining the value labels ● Click the cell in the values column as shown below ● For the value, and the label, you can put up to 60 characters. ● After defining the values click add and then click OK. Click Ashok Pandey, Associate Research Fellow 91
  • 92. Practice 1 ● How would you put the following information into SPSS? Value = 1 represents Male and Value = 2 represents Female N a m e G e n d e r H e i g h t J A U N I TA 2 5 . 4 S A L LY 2 5 . 3 D O N N A 2 5 . 6 S A B R I N A 2 5 . 7 J O H N 1 5 . 7 M A R K 1 6 E R I C 1 6 . 4 B R U C E 1 5 . 9 Ashok Pandey, Associate Research Fellow 92
  • 93. Practice 1 (Solution Sample) Click Ashok Pandey, Associate Research Fellow 93
  • 94. Click Ashok Pandey, Associate Research Fellow 94
  • 95. Saving the data ● To save the data file you created simply click ‘file’ and click ‘save as.’ You can save the file in different forms by clicking “Save as type.” Click Ashok Pandey, Associate Research Fellow 95
  • 96. Sorting the data ● Click ‘Data’ and then click Sort Cases Ashok Pandey, Associate Research Fellow 96
  • 97. Sorting the data (cont’d) ● Double Click ‘Name of the students.’ Then click ok. Click Click Ashok Pandey, Associate Research Fellow 97
  • 98. Practice 2 ● How would you sort the data by the ‘Height’ of students in descending order? ● Answer ● Click data, sort cases, double click ‘height of students,’ click ‘descending,’ and finally click ok. Ashok Pandey, Associate Research Fellow 98
  • 99. Transforming data ● Click ‘Transform’ and then click ‘Compute Variable…’ Ashok Pandey, Associate Research Fellow 99
  • 100. Transforming data (cont’d) ● Example: Adding a new variable named ‘lnheight’ which is the natural log of height ● Type in lnheight in the ‘Target Variable’ box. Then type in ‘ln(height)’ in the ‘Numeric Expression’ box. Click OK Click Ashok Pandey, Associate Research Fellow 100
  • 101. Transforming data (cont’d) ● A new variable ‘lnheight’ is added to the table Ashok Pandey, Associate Research Fellow 101
  • 102. Practice 3 ● Create a new variable named “sqrtheight” which is the square root of height. ● Answer Ashok Pandey, Associate Research Fellow 102
  • 103. Features of SPSS  It is easy to learn and use.  It includes a full range of data. management system and editing tools.  It provides in-depth statistical capabilities.  It offers complete plotting, reporting and presentation features. Ashok Pandey, Associate Research Fellow 103
  • 104. Getting data into SPSS  Creating new SPSS data files  Opening existing SPSS system files  Importing data from an ASCIIfile  Importing data from other file formats Ashok Pandey, Associate Research Fellow 104
  • 105. Entering Data DATAEDITOR  The data editor offers a simple and efficient spreadsheet like facility for entering data and browsing the working data file.  This window displays the content of the data file.  One can create new data files or modify existing ones.  One can have only one data file open at a time. Ashok Pandey, Associate Research Fellow 105
  • 106. Cont..  This editor provides two views of the data, DATAVIEW  Displays the actual data values or defined value labels. VARIABLE VIEW  Displays variable definition information, including defined variable and value labels, data type, etc.., Ashok Pandey, Associate Research Fellow 106
  • 107. Editing Data PIVOT TABLE EDITOR  Output can be modified in many ways with is editor, and can create multidimensional tables. Ex: We can edit text, swap data in rows and columns Ashok Pandey, Associate Research Fellow 107
  • 108. Cont.. TEXT OUTPUT EDITOR  Text output not displayed in pivot tables can be modified with the text output editor. CHART EDITOR  High-resolution charts and plots can be modified in chart windows. Ashok Pandey, Associate Research Fellow 108
  • 109. Saving Data  We need to save it and give it a name. The default extension name for saving files is ‘.sav’.  Ex. SSPS.sav  Also we can able to retrieving already saved file Ashok Pandey, Associate Research Fellow 109
  • 110. Variables  Variable is a user defined name of Particular type of data to hold information (such as income or gender or temperature or dosage). Array of variable is a collection values of similar data types. Ashok Pandey, Associate Research Fellow 110
  • 111. Variables types 1. Numeric 2. Comma 3. Dot 4. Scientific notation 5. Date 6. Custom currency 7. String Ashok Pandey, Associate Research Fellow 111
  • 112. Rules for Variable Names  Names must begin with a letter.  Names must not end with a period.  Names must be no longer than eight characters.  Names cannot contain blanks or special characters.  Names must be unique.  Names are not case sensitive. It doesn’t matter if you call your variable CLIENT, client, or CliENt. It’s all client to SPSS. Ashok Pandey, Associate Research Fellow 112
  • 113. BASIC STEPS IN DATA ANALYSIS  Get Your Data Into SPSS: We can open a previously saved SPSS data file, read a spreadsheet, database ,or textdata file, or enter directly in the data editor.  Select a Procedure: Select a procedure from the menus to calculate statistics or to create a chart. Ashok Pandey, Associate Research Fellow 113
  • 114. Cont..  Select The Variable For TheAnalysis: Variables in the data file are displayed in a dialog box for the procedure.  Run The Procedure: Results are displayed in the viewer. Ashok Pandey, Associate Research Fellow 114
  • 115. STATISTICALPROCEDURES  After entering the data set in data editor or reading an ASCII data file, we are now ready to analyze it. The Procedures Available are  Reports  Descriptive Statistics  Custom Tables  Compare means  General Linear model (GLM) Ashok Pandey, Associate Research Fellow 115
  • 116.  Correlate  Regression  Loglinear  Classify  Data Reduction  Scale  Non parametric tests  Time Series  Survival  Multiple response. Ashok Pandey, Associate Research Fellow 116
  • 117. REPORTS Report is a textual work made with the specific intention of relaying information or recounting certain events in a widely presentable form DESCRIPTIVE STATISTICS This provides techniques for summarizing Data with statistics, charts, and reports. Ashok Pandey, Associate Research Fellow 117
  • 118. Cont.. CUSTOM TABLES  It provides attractive, flexible, displays of frequency counts, percentages and other statistics. COMPARE MEANS  This provides techniques for testing differences among two or more means on their values for other variable. Ashok Pandey, Associate Research Fellow 118
  • 119. Cont.. GENERAL LINEAR MODEL (GLM)  This provides technique for testing univariate and multivariate analysis-of- including repeated variance models measures. CORRELATE  This provides measures of association for two or more Variable measured at the interval level. Ashok Pandey, Associate Research Fellow 119
  • 120. Cont.. REGRESSION  This provides a variety of regression techniques , including Linear, logistic, nonlinear, weighted, and two-stage least- squares regression. LOGLINEAR  This provides general and hierarchical log- linear analsis and logit analysis. Ashok Pandey, Associate Research Fellow 120
  • 121. Cont.. CLASSIFY  This provides cluster and discriminant analysis DATA REDUCTION  This provides factor analysis, correspondence analysis, and optional scaling. Ashok Pandey, Associate Research Fellow 121
  • 122. Cont.. SCALE  This provides reliability analysis and multidimensional scaling. NON PARAMETRIC TESTS  This provides non-parametric tests for one sample, or for two and paired or Independent sample. Ashok Pandey, Associate Research Fellow 122
  • 123. Cont.. TIME SERIES Provides exponential smoothing, autocorrelated regression, ARIMA, X11 ARIMA, seasonal decomposition, spectral analysis, and related techniques. SURVIVAL This provides techniques for analyzing the time for some terminal event to occur, including Kaplan-Meier analysis and Cox regression. MULTIPLE RESPONSE: This provides facilities to define and analyze multiple- response . Ashok Pandey, Associate Research Fellow 123
  • 124. GRAPHS BAR  Generate a simple , clustered , or stacked bar chart of the data. LINE  Generate a simple or multiple line chart of the data. AREA  Generate a simple or stacked area chart of the data. Ashok Pandey, Associate Research Fellow 124
  • 125. Ashok Pandey, Associate Research Fellow 125
  • 126. Ashok Pandey, Associate Research Fellow 126
  • 127. Ashok Pandey, Associate Research Fellow 127
  • 128. Cont.. PIE  Generates a simple pie chart or a composite bar chart from the data. BOXPLOT  Generates box plot showing the median, outline, and extreme cases of individual variables. Ashok Pandey, Associate Research Fellow 128
  • 129. Ashok Pandey, Associate Research Fellow 129
  • 130. Ashok Pandey, Associate Research Fellow 130
  • 131. Cont.. PARETO Generates Pareto charts, bar charts with a line superimposed showing the cumulative sum. CONTROL Produces the most commonly-used process- control charts. Ashok Pandey, Associate Research Fellow 131
  • 132. Ashok Pandey, Associate Research Fellow 132
  • 133. Ashok Pandey, Associate Research Fellow 133
  • 134. Cont.. NORMAL P-P PLOTS The cumulative proportions of a variable's distribution against the cumulative proportions of the normal distribution. NORMAL Q-Q PLOTS The quantiles of a variable's distribution against the quantiles of the normal distribution. SEQUENCE Produces a plot of one or more variables by order in the file, suitable for examining time-series data. Ashok Pandey, Associate Research Fellow 134
  • 135. Ashok Pandey, Associate Research Fellow 135
  • 136. Ashok Pandey, Associate Research Fellow 136
  • 137. Ashok Pandey, Associate Research Fellow 137
  • 138. TIME SERIES: AUTOCORRELATIONS • Calculates and plots the autocorrelation function (ACF) and partial autocorrelation function of one or more series to any specified number of lags, displaying the Box-Ljung statistic at each lag to test the overall hypothesis that the ACF is zero at alllags. Ashok Pandey, Associate Research Fellow 138
  • 139. Ashok Pandey, Associate Research Fellow 139
  • 140. TIME SERIES: CROSS-CORRELATIONS Calculates and plots the cross-correlation function of two or more series for positive, negative, and zero lags. Ashok Pandey, Associate Research Fellow 140
  • 141. Ashok Pandey, Associate Research Fellow 141
  • 142. TIME SERIES: SPECTRAL • Calculates and plots univariate or bivariate periodograms and spectral density functions, which express variation in a time series as the sum of a series of sinusoidal components. It can optionally save various components ofthe frequency analysis as new series. Ashok Pandey, Associate Research Fellow 142
  • 143. Ashok Pandey, Associate Research Fellow 143
  • 144. Advantages  SPSS offers a user friendliness that most packages are only now catching up to.  It is popular, and though that is certainly not a reason for choosing a statistical package, many data sets are easily loaded into it and other programs can easily import SPSS files. Ashok Pandey, Associate Research Fellow 144
  • 145. Disadvantages  For academic use SPSS lags notably behind SAS, R and even perhaps others that are on the more mathematical rather than statistical side for modern data analysis.  Its menu offerings are typically the most basic of an analysis and sometimes lacking even then, and it makes doing an inappropriate analysis very easy.  It is expensive, sometimes ridiculously so, and even when you do buy you're really only leasing, and its license is definitely not user friendly.  There are often compatibility issues with prior Ashok Pandey, Associate Research Fellow 145
  • 146. Practical Ashok Pandey, Associate Research Fellow 146
  • 147. Practice 1 ●Do a frequency analysis on the variable “minority” ● Create pie charts for it ●Do the same analysis using the syntax editor Ashok Pandey, Associate Research Fellow 147
  • 148. Ashok Pandey, Associate Research Fellow 148
  • 149. Answer Click Ashok Pandey, Associate Research Fellow 149
  • 150. Descriptives ● Click ‘Analyze,’ ‘Descriptive statistics,’ then click ‘Descriptives…’ ● Click ‘Educational level’ and ‘Beginning Salary,’ and put it into the variable box. ● Click Options Click Ashok Pandey, Associate Research Fellow 150
  • 151. Descriptives ● The options allows you to analyze other descriptive statistics besides the mean and Std. ● Click ‘variance’ and ‘kurtosis’ ● Finally click ‘Continue’ Click Click Ashok Pandey, Associate Research Fellow 151
  • 152. Descriptives ● Finally Click OK in the Descriptives box. You will be able to see the result of the analysis. Ashok Pandey, Associate Research Fellow 152
  • 153. Regression Analysis ● Click ‘Analyze,’ ‘Regression,’ then click ‘Linear’ from the main menu. Ashok Pandey, Associate Research Fellow 153
  • 154. Regression Analysis ● For example let’s analyze the model ● Put ‘Beginning Salary’ as Dependent and ‘Educational Level’ as Independent. salbegin  0  1edu  Click Click Ashok Pandey, Associate Research Fellow 154
  • 155. Regression Analysis ● Clicking OK gives the result Ashok Pandey, Associate Research Fellow 155
  • 156. Plotting the regression line ● Click ‘Graphs,’ ‘Legacy Dialogs,’ ‘Interactive,’ and ‘Scatterplot’ from the main menu. Ashok Pandey, Associate Research Fellow 156
  • 157. Plotting the regression line ● Drag ‘Current Salary’ into the vertical axis box and ‘Beginning Salary’ in the horizontal axis box. ● Click ‘Fit’ bar. Make sure the Method is regression in the Fit box. Then click ‘OK’. Click Set this to Regression! Ashok Pandey, Associate Research Fellow 157
  • 158. Ashok Pandey, Associate Research Fellow 158
  • 159. Thank You Ashok Pandey, Associate Research Fellow 159
  • 160. HOW TO CREATE “QES, REC AND CHECK” FILE IN EPI-DATA Ashok Pandey, Associate Research Fellow 160
  • 161. Step 1. CREATE “QES” file A. Create new folder in your computer so that all epi-data documents you are going to create are put together. B. Open EPI-DATA software C. Click on “Define data” from epi-data window Ashok Pandey, Associate Research Fellow 1 6 1 161
  • 162. QES…CON’T… Ashok Pandey, Associate Research Fellow 1 6 2 D. Select “New .QES file” from Define data options E.Start by writing your project name in “New. QES file” window F.Type “ variable name” first , followed by “Field label” then “Define type of variable” 162
  • 163. Variable name and field label The first word you type are considered as “variable name” Then the list of full meaning of your variable name are “field label” Eg. IDNo ----- (variable name) Ashok Pandey, Associate Research Fellow 163
  • 164. Define type of variable Using “field pick list” menu from epi-data we can decide weather our variable are 1. Numeric 2. Text 3. Date 5 Ashok Pandey, Associate Research Fellow 164
  • 165. To make “ID number” to be assigned automatically Ashok Pandey, Associate Research Fellow 16 5 • From “Field pick list” menu select “Other” then select “Auto ID number”, put the number of field length (1,2,3…) then click “Insert”
  • 166. To insert date type of variable Ashok Pandey, Associate Research Fellow 16 6 From “Field pick list menu” click on “Date” , select the date formats you want to use then click “Insert”. 1. DD/MM/YYYY--- 12/03/2018 ---Standard date format 2. MM/DD/YYYY---03/12/2018 3. YYYY/MM/DD ---2018/03/12
  • 167. Numeric type of variable Ashok Pandey, Associate Research Fellow 16 7 and Date • We use it for variables {other than ID ,Text variables} which we insert our data using NUMBER . • Eg 1 = Yes (for “Yes” response we insert “1”) 2 = No (For “No” type response we insert “2”)
  • 168. Create numeric type of variable using two ways Ashok Pandey, Associate Research Fellow 16 8 1. Using “FIELD PICK LIST” MENU from epi data window  From “Field pick list menu” click on “Numeric” then decide the number of digits before and after decimal points. Eg. If we want no digits after decimal points we make digits after decimal points as= “0”
  • 169. CON’T… Ashok Pandey, Associate Research Fellow 16 9 And we make before decimal points based on our interest, (that is based on our sample size). For example----- if our sample size is 100, we make it 3. i.e field length is 3 (# # #), for 50 sample, we make it as “2”, i.e the field length is 2 (# #).
  • 170. Second method to define Numeric type of variables Ashok Pandey, Associate Research Fellow 17 0 2. Using short cuts Click shift+# on your computer E.g for 200 we type as (shift 3x i.e ###)
  • 171. After finish “QES”file “align fields” Ashok Pandey, Associate Research Fellow 17 1 • To make our data entry form more attractive need to align fields • Select “EDIT” Menu from epi-data, click “Align fields” N.B. first click on the variable with long variable label.
  • 172. Step 2. CREATE “REC” FILE Ashok Pandey, Associate Research Fellow 17 2 First save our “QES file” on the folder we create before and label it. Second click “Make data file” at epi-data menu, then select “Make data file”
  • 173. Step 3. Create “CHECK FILE” In this part we Set rules and commands for our data 1. Define range and legal values for continuous type of variables (e.g. age, income…). message. 14 Ashok Pandey, Associate Research Fellow 173
  • 174. CHECK…CON’T… Ashok Pandey, Associate Research Fellow 17 4 2. Set “MUST ENTER & REPEAT” commands We will not pass any fields without entering data if we set “Must enter commands” 174
  • 175. CHECK…CON’T… Ashok Pandey, Associate Research Fellow 17 5 3. “SHOW” & “TYPE COMMENT” COMMANDS This commands help us during data entry by showing us list of responses to chose among the lists and type entered response for each respondents. 175
  • 176. CHECK…CON’T… 4. Define variable labels for “categorical type of variables” (1=male, 2= Female). N.B. IF the categorical variable is made of two words it must put under double quotation. e.g. marital status---1. “never married”--- Two words Ashok Pandey, Associate Research Fellow 176
  • 177. Cont’d… • 5. Set “SKIP” Commands (IF the answer for question “A” is “No” then skip question number “B” and go to question number “C”). Select the question where this commands setted, then Click on “edit” in check file, then click enter and type the followings :- AFTER ENTRY •IF A <> 1 THEN GOTO C • ENDIF Ashok Pandey, Associate Research Fellow 177
  • 178. Step 4. EXPORT “EPI-DATA” FILE TO SPSS Ashok Pandey, Associate Research Fellow 17 8  Open your epi-data file, select “Export data” from epi-data window, select SPSS, click ok  Second select and open spss data file from folder where your epidata qes ,rec and check files found together under the same folder.  Third from opened spss window click on “RUN” and select “run all”  Fourth save the new exported spss data. 178
  • 179. THANK YOU ALL Ashok Pandey, Associate Research Fellow 17 9 179
  • 181. What is Endnote? Create and manages reference lists. Enables searching of reference "libraries" by author, keyword, date, etc. In Word documents, automatically formats the references in APA format for you. Many online databases allow references to be sent directly into Endnote. Can also store and organise images, graphs, tables, etc. Ashok Pandey, Associate Research Fellow 181
  • 182. Entering References: Three ways: (a) Manually type them in. (b) Save files from online search facilities. (c) Search online databases through Endnote and retrieve the references directly to your Endnote library Ashok Pandey, Associate Research Fellow 182
  • 183. Manually Entering References (1) (a) To start a new Endnote library, click on "file", then "new" (b) This box appears - enter a filename for your new library Ashok Pandey, Associate Research Fellow 183
  • 184. Manually Entering References (2) Your new reference library (empty at the moment...) Ashok Pandey, Associate Research Fellow 184
  • 185. Manually Entering References (3) To enter a reference, go to "New Reference" Ashok Pandey, Associate Research Fellow 185
  • 186. Manually Entering References (4) Enter details of the reference in the relevant "fields" (Optional how many you use). Select which type of reference you want (journal, book, comic, etc.) Ashok Pandey, Associate Research Fellow 186
  • 187. Manually Entering References (5) Ashok Pandey, Associate Research Fellow 187
  • 188. Manually Entering References (6) Click on "Close Reference" to finish entering this particular reference. Click on "New Reference" to add another reference. Ashok Pandey, Associate Research Fellow 188
  • 189. A completed reference library: Ashok Pandey, Associate Research Fellow 189
  • 190. Searching a reference library: Ashok Pandey, Associate Research Fellow 190
  • 191. Information about References: Each Reference: Stores all the information needed to cite it in a reference list (e.g. in a lab report or essay). Within a library, each reference has a unique record number which cannot be changed. The fields (author, year etc) can be modified, deleted or new ones added. There are many reference types (book, journal article, newpaper article, chart, equation, etc...) Ashok Pandey, Associate Research Fellow 191
  • 192. Downloading references from the Web of Knowledge: 1. Go to library website and select "online resources": Ashok Pandey, Associate Research Fellow 192
  • 193. 2. Scroll down to "Web of Knowledge": Ashok Pandey, Associate Research Fellow 193
  • 194. 3. Click on "Web of Knowledge": Ashok Pandey, Associate Research Fellow 194
  • 195. 4. Click on "Web of Science": Ashok Pandey, Associate Research Fellow 195
  • 196. 4. Perform your search: Ashok Pandey, Associate Research Fellow 196
  • 197. 5. Tick the references you want to retain. Ashok Pandey, Associate Research Fellow 197
  • 198. 6. Click on "Save to Endnote...". Ashok Pandey, Associate Research Fellow 198
  • 199. References are exported to your chosen Endnote library: NB: shows only the new references (click on "Show all references" to see earlier entries). Ashok Pandey, Associate Research Fellow 199
  • 200. Downloading citations from ScienceDirect: 1. Go to library website, click on ScienceDirect: Ashok Pandey, Associate Research Fellow 200
  • 201. 2. Perform your search, then click on "export citations": Ashok Pandey, Associate Research Fellow 201
  • 202. 3. Pick "citations only" or "citations and abstracts": Ashok Pandey, Associate Research Fellow 202
  • 203. 5. Entries are added to the chosen Endnote library (this time, with abstracts as well): Ashok Pandey, Associate Research Fellow 203
  • 204. Using Endnote with Word Ashok Pandey, Associate Research Fellow 204
  • 205. Endnote adds an extra menu within Microsoft Word: Ashok Pandey, Associate Research Fellow 205
  • 206. Referencing conventions: In essays and lab-reports, all cited work must be properly referenced, by a reference in the text (author surname and date of publication), and an entry in a reference list that contains complete details of each reference: In the text: "Field and Hole (2003) give lots of useful advice". Or "Learning statistics has been shown to be easier than people think (Field and Hole, 2003)". In the reference list: Field, A. and Hole, G. (2003). How to design and report experiments. London: Sage. Problem is that the conventions for this differ slightly between journals (although most use "A.P.A. format"). Ashok Pandey, Associate Research Fellow 206
  • 207. Start Word and open the document you are writing. To cite a source, position the cursor where you want the reference to appear, then click on "Insert Selected Citation": Inserting references in the text: Ashok Pandey, Associate Research Fellow 207
  • 208. Endnote (a) adds the reference in the text; (b) adds the full reference to a reference list at the end of the document - correctly-formated and in alphabetical order! This is a load of rubbish I'm writing in order to show you how to use "Endnote" (Duck and Mouse 2007). Here's some more tosh that I've just typed (Sooty and Sweep 2007), and yet more (Lala, Tinky-winky et al. 2007). Duck, D. and M. Mouse (2007). "Our living hell: life as prisoners in Disneyland." Animal Behaviour 29(5): 179-199. Lala, Tinky-winky, et al. (2007). "Effects of the media on body-image in telly- tubbies." Journal of banal research 99: 201-203. Sooty and Sweep (2007). Hands up: we don't have a leg to stand on. Congleton, Garbage Books Inc. Ashok Pandey, Associate Research Fellow 208
  • 209. Formatting the Bibliography: You can format the references in different styles by choosing ‘Format Bibliography’ from the Endnote menu. Use "APA 5th" as your output style Ashok Pandey, Associate Research Fellow 209
  • 210. More Information, and how to get Endnote: Endnote is installed on all campus PC's. For your own computer, you need to purchase a copy. See the Sussex University IT centre's website: Ashok Pandey, Associate Research Fellow 210
  • 211. wants to help researchers organize, share, and discover research papers. Mendeley Ashok Pandey, Associate Research Fellow 211
  • 212.  What is Mendeley?  Creating your library  Managing your documents & references  Citing and sharing references Ashok Pandey, Associate Research Fellow 212
  • 213. Based in London, Mendeley are 15 researchers, graduates and software developers from... ...backed by co-founders and former executives of: Ashok Pandey, Associate Research Fellow 213
  • 214. research libraries researchers papers disciplines music libraries artists songs genres Last.fm Mendeley Ashok Pandey, Associate Research Fellow 214
  • 215. What is Mendeley? Mendeley is free academic software (Win, Mac & Linux) to manage, share, read, annotate and cite your research papers... ...and a research network to manage your papers online, discover research trends and statistics, and to connect to like-minded researchers. Ashok Pandey, Associate Research Fellow 215
  • 216. What is Mendeley? Set up and manage your collections Add tags & notes and edit document details Library showing all your documents (citation or table view) Filter your papers by authors, keywords, tags, or publications Ashok Pandey, Associate Research Fellow 216
  • 217. Creating your library Ashok Pandey, Associate Research Fellow 217
  • 218. Adding your papers You have different options to set up your library: • Add single files or an entire folder • “Watch a folder” to automatically import PDF files • Add existing EndNote/BibTeX/RIS databases, or… …drag & drop PDF files into the library pane… … and Mendeley will try to extract the document details automatically Ashok Pandey, Associate Research Fellow 218
  • 219. Document details lookup You can also try to complete the document details by querying various databases (Crossref, PubMed, ArXiv or Google Scholar) Enter the DOI, PubMed, or ArXiv ID and click on the magnifier glass to start lookup And remember – made a mistake? Press CTRL+Z (or Edit > Undo) to undo the last step Ashok Pandey, Associate Research Fellow 219
  • 220. Web Importer To install the Web Importer, drag & drop the bookmarklet to your Favorites/Bookmarks in your internet browser Supported sites www.mendeley.com/import The Web Importer helps you to grab citations off the web Ashok Pandey, Associate Research Fellow 220
  • 221. Using the Web Importer On the web page with the reference(s) you want to capture: click on the bookmarklet… …then click on “Import” to import the reference/paper to your Mendeley library. If possible/available, also the associated PDF will be imported. Ashok Pandey, Associate Research Fellow 221
  • 222. Synchronize and manage your library online Synchronize your library You can also add references and edit & manage your library online In addition, you will get statistics about your library, your impact and your research field (see later) Ashok Pandey, Associate Research Fellow 222
  • 223. Manage your library Star your favorite papers Documents can be marked read/unread Filter by authors, tags, publications or keywords Open attached PDF files in integrated viewer Ashok Pandey, Associate Research Fellow 223
  • 224. Search as you type Ashok Pandey, Associate Research Fellow 224
  • 225. Full text search in Mendeley’s PDF viewer Ashok Pandey, Associate Research Fellow 225
  • 226. Annotate and highlight Ashok Pandey, Associate Research Fellow 226
  • 227. Mendeley‘s File Organizer Mendeley can also organize your PDF files in a consistent folder structure on your hard disk and rename them according to their document details You can find the File Organizer in Tools > Options > File Organizer Ashok Pandey, Associate Research Fellow 227
  • 228. Citing and sharing references Ashok Pandey, Associate Research Fellow 228
  • 229. Citing in Word & Open Office Click on “Insert Citation” in Word Highlight the paper you want to cite Ashok Pandey, Associate Research Fellow 229
  • 230. Citing in Word & Open Office “Send citation” to Word Citation will show up based on selected style Cite into Google documents or other editors by copy & paste Ashok Pandey, Associate Research Fellow 230
  • 231. Creating bibliographies Insert a bibliography based on the citations Ashok Pandey, Associate Research Fellow 231
  • 232. Public Collections (“Reading Lists”) You can make a collection public in “Edit Settings” View the collection online – other users can subscribe via clicking on “Subscribe” on the collection page. A Public Collection acts like a “Reading List” – you can add references to the collection, and users who have subscribed to this collection will get the references pushed into their Mendeley account. PDFs are not attached. Ashok Pandey, Associate Research Fellow 232
  • 233. Shared Collections A shared collection allows a research group to create a private, shared library and to collaboratively edit and annotate documents and references. Only the members of this collection can see it online Ashok Pandey, Associate Research Fellow 233
  • 234. Create your professional research profile Ashok Pandey, Associate Research Fellow 234
  • 235. Discover research statistics Ashok Pandey, Associate Research Fellow 235
  • 236. Discover research statistics What is your impact? Ashok Pandey, Associate Research Fellow 236
  • 237. Leave feedback and see what’s coming next Visit http://feedback.mendeley.com to see what others are saying, leave feedback, request features or report bugs Ashok Pandey, Associate Research Fellow 237