A step by step guide to recoding AGE variables into generational groups in SPSS. Screenshots of every step is provided in an easy to follow tutorial of how to change or transform a list of ages into generational categories in SPSS
Researchers have long known that the words of a text have always contained more information than on the surface. As such, texts have been studied for subtexts and other latent or hidden information. One approach has involved the machine-enabled analysis of human sentiment, usually mapped out on a positive-negative polarity. NVivo 11 Plus (a qualitative research tool released in late 2015) enables the automated sentiment analysis of texts (coded research, formal articles, text corpora, Tweetstream datasets, Facebook wall posts, websites, and other sources) based on four categories: very positive, moderately positive, moderately negative, and very negative. The tool feature compares the target text set against a sentiment dictionary and enables coding at different units of analysis: sentence, paragraph, or cell. Further, the sentiment capability extracts the coded text into respective text sets which may be further analyzed using text frequency counts, text searches, automated theme and sub-theme extractions (topic modeling), and data visualizations.
This is a very basic guide to SPSS. It is aimed at total novices wishing to understand the basic layout of the package and how to generate some simple tables and graphs
Descriptive statistics are methods of describing the characteristics of a data set. It includes calculating things such as the average of the data, its spread and the shape it produces.
At the end of this Lesson (Part 1) the students should be able to know the following
Introduction
Data Entry
Variable and Value Label
Entering Data
File management
Descriptive statistics
Editing and modifying the data
Researchers have long known that the words of a text have always contained more information than on the surface. As such, texts have been studied for subtexts and other latent or hidden information. One approach has involved the machine-enabled analysis of human sentiment, usually mapped out on a positive-negative polarity. NVivo 11 Plus (a qualitative research tool released in late 2015) enables the automated sentiment analysis of texts (coded research, formal articles, text corpora, Tweetstream datasets, Facebook wall posts, websites, and other sources) based on four categories: very positive, moderately positive, moderately negative, and very negative. The tool feature compares the target text set against a sentiment dictionary and enables coding at different units of analysis: sentence, paragraph, or cell. Further, the sentiment capability extracts the coded text into respective text sets which may be further analyzed using text frequency counts, text searches, automated theme and sub-theme extractions (topic modeling), and data visualizations.
This is a very basic guide to SPSS. It is aimed at total novices wishing to understand the basic layout of the package and how to generate some simple tables and graphs
Descriptive statistics are methods of describing the characteristics of a data set. It includes calculating things such as the average of the data, its spread and the shape it produces.
At the end of this Lesson (Part 1) the students should be able to know the following
Introduction
Data Entry
Variable and Value Label
Entering Data
File management
Descriptive statistics
Editing and modifying the data
We would like to introduce sampling software which costs just 10 USD. Sampling is statistical software designed to calculate sampling computation easily such as stratified sampling, cluster sampling, sampling with varying probability and etc. You can download free 7 times running trial license here:
http://www.sampling-software.com
For sales data analysis, by creating data breakdowns and filters (example by region, product, salesperson, etc). Objective of Easy Pivot is to provide alternative, easier to understand Pivot Table.
Basics of SPSS & how to use the SPSS software.
with Diagram.
Used to Analyze the complex questions.
MAkes questionnaire for your Research.
SPSS like excel solves problems and questions in a few seconds.
This image appears when a project instruction has changed to accommo.docxjuan1826
This image appears when a project instruction has changed to accommodate an update to
Microsoft 365 Apps
. If the instruction does not match your version of Office, try using the alternate instruction instead.
Open the start file
EX2019-SkillReview-8-1
. The file will be renamed automatically to include your name. Change the project file name if directed to do so by your instructor, and save it.
If the workbook opens in Protected View, click the
Enable Editing
button in the Message Bar at the top of the workbook so you can modify the workbook.
NOTE
: If group titles are not visible on your
Ribbon
in
Excel for Mac
, click the
Excel
menu and select
Preferences
to open the
Excel Preferences
dialog box. Click the
View
button and check the
Group Titles
check box under
In Ribbon, Show
. Close the
Excel Preferences
dialog box.
Use GETPIVOTDATA to extract data from a PivotTable. In cell D1 on the
Analysis
worksheet, display the total annual sales for Ambulatory Care of TX, Inc.
If necessary, go to the
Analysis
worksheet.
Select cell
D1
.
Type
=
Click the
PivotTable
worksheet tab.
Click cell
B4
.
Press
Enter
.
Use consolidate to create a summary of the sales data by region. The summary will be located on the
Analysis
worksheet.
Remain on the
Analysis
worksheet and select cell
A4
.
On the
Data
tab, in the
Data Tools
group, click the
Consolidate
button.
Verify that
Sum
is selected in the
Function
box.
If there are any references in the
All references
box, click each and then click the
-
button to remove them.
Click in the
Reference
box, and then click the
Sales Data
worksheet tab. Click and drag to select cells
C3:E67
.
Click both the
Top row
and
Left column
check boxes.
Click
OK
.
On the
Analysis
worksheet, delete cells
B4:B12
, allowing the other cells to shift left.
Sort the sales data alphabetically by region and then by last name.
Go to the
Sales Data
worksheet, and click any cell in the data set.
On the
Data
tab, in the
Sort & Filter
group, click the
Sort
button.
In the
Sort
dialog, expand the
Sort by
,
Column
list, and select
Region
.
Click the
+
button to add a level.
Expand the
Then by, Column
list, and select
Last Name
.
Click
OK
.
Add subtotals to the data to calculate the total commission earned for each sales associate.
On the
Data
tab, in the
Outline
group, click the
Subtotal
button.
Expand the
At each change in
list, and select
Last Name
.
Verify that
Sum
is selected in the
Use function
box.
Verify that there is a checkmark next to
Commission Earned
in the
Add subtotal to
box.
Click
OK
.
Copy the subtotal data to the
Analysis
worksheet.
On the
Sales Data
worksheet, click the outline level
2
button to collapse the list so only the total commission earned for each sales associate is visible. This will make it easier to copy the data.
Select cells
A3:G77
and copy th.
I need this done ASAP, You have to have SPSS Software on your comput.docxanthonybrooks84958
I need this done ASAP, You have to have SPSS Software on your computer. Please do not request to do the assignment if you don't have the software or if you do not have the understanding to get this assignment complete.
Assignment 2: Tests of Significance
Throughout this assignment you will review mock studies.
You will needs to follow the directions outlined in the section using SPSS and decide whether there is significance between the variables.
You will need to list the five steps of hypothesis testing (as covered in the lesson for Week 6) to see how
every
question should be formatted.
You will complete all of the problems.
Be sure to cut and past the appropriate test result boxes from SPSS under each problem and explain what you will do with your research hypotheses.
All calculations should be coming from your SPSS
.
You will need to submit the SPSS output file to get credit for this assignment.
This file will save as a .spv file and will need to be in a single file.
In other words, you are not allowed to submit more than one output file for this assignment.
The five steps of hypothesis testing when using SPSS are as follows:
State your research hypothesis (H
1
) and null hypothesis (H
0
).
Identify your significance level (.05 or .01)
Conduct your analysis using SPSS.
Look for the valid score for comparison.
This score is usually under ‘Sig 2-tail’ or ‘Sig. 2’.
We will call this “p”.
Compare the two and apply the following rule:
If “p” is < or = significance level, than you reject the null.
Be sure to explain to the reader what this means in regards to your study.
(Ex: will you recommend counseling services?)
* Be sure that your answers are clearly distinguishable.
Perhaps you bold your font or use a different color.
This assignment is due no later than Sunday of Week 6 by 11:55 pm ET.
Save the file in the following format: [your last name_SOCI332_A2].
The file must be a word file.
t Tests
t Test for a Single Sample (20 points)
Open SPSS
Enter the number of activities of daily living performed by the depressed clients studied in #1 in the Data View window.
In the Variable View window, change the variable name to “ADL” and set the decimals to zero.
Click Analyze
Compare Means
One-Sample T test
the arrow to move “ADL” to the Variable(s) window.
Enter the population mean (17) in the “Test Value” box.
Click OK.
Researches are interested in whether depressed people undergoing group therapy will perform a different number of activities of daily living after group therapy. The researchers have randomly selected 12 depressed clients to undergo a 6-week group therapy program.
Use the five steps of hypothesis testing to determine whether the average number of activities of daily living (shown below) obtained after therapy is significantly different from a mean number of activities of 17 that is typical for depressed people. (Clearly indicate each step).
Test the difference at the .05 level of significance a.
At the end of this Lesson (Part 1) the students should be able to know the following
Descriptive statistics
Saving an SPSS for Windows
Backing up your data
Retrieving your Data Files
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
2. Precautionary Message:
2
After re-coding, please remember to choose the right measurement for
your new variable!
NOTE: Check the codes for your missing values. You may have to recode
those if you have the Silent Generation in the 90 range, for example.
You will have to decide if you will include them, or treat them as outliers
and possibly select them out.
The generational groups are:
GenY = 18 – 27
GENX = 28 (NOT 27) – 43
Boomers = 44 – 60
Traditional (Silent) = 61 – * (89 was actually chosen as a cut-off date for this group see
notes below)
4. •You will see this box
•Choose the variable that you want to recode. In this case, AGE
4
5. 1) Type a new name for the variable, e.g. “age1”
2) Under label type “Age Recoded to Generational Groups”
3) Click on “Change”
4) Click on “Old and New Values”
5
6. This window will open. The two value buttons will be highlighted. Leave as
is. The old value one will disappear after the subsequent choice.
6
7. a) Click on “Range”. Type in “18”
b) and “27” as shown. This is the age range for Generation Y
c) In “Value” box, type in 1
d) Click on “Add” button. This will bring you to the next screen.
7
8. • The age range of 18 thru 27 has now been transferred to the Old -> New window
• Add another range (e.g. 28 through 43, which is Generation X). Click “ADD”
• Type “2” in Value box, under “NEW Value”
• Repeat for each range of years. Number each group consecutively
8
9. The third age range of 44 – 60 is shown.
This range will be added when you click “Add”
9
10. 10
Follow the previous procedures and you will get the following result.
Click on “Continue”. You will return to the original “Recode into New Variables”
window (next slide)
12. You will get this syntax read out that tells you what you just did.
12
13. • Click on the “Variable View” at the bottom of your screen and scroll all the way down
• You will see the new variable “age1”
• NOTE!! Save your data under a new name! (e.g. GSS1-2006_Recoded)
13
14. Look at the highlighted area under “Values”.
Click on it. A blue button will appear.
Click on the blue button. A new window will appear.
14
17. 17
• In “Value” box type “2”. In “Label” box type “genX”
• NEXT: In “Value” box type “3”. In “label box” type “genBoom”
• NEXT: In “Value” box type “4”. In “label box” type “genTrad/Slnt”
• Click on “OK”
• NOTE: If you need to change or remove something, click of the item and make
choice
18. 18
• All labels have now been entered
•Click “OK”. You will return to the “Variable View” window
19. 19
• At the “Variable View”
• Click on blue button that will appear in the highlighted “Label” box
• You will see the labels for each of the values
• You will now run a Frequency analysis…
20. 20
• Go to “Analyze”
• Choose “Descriptive” > “Frequencies”
21. 21
Scroll down to the bottom of the variables list.
Choose “Age Recoded…”
Transfer to “Variable(s)” window
You will come to the next screen
22. 22
Click on “OK”
(This is just a quick check, do not choose any frequencies to run)
NOTE: Measurement level on Age Recoded has not been changed.
23. 23
Congratulations!! You have now learned how to recode variables into
groups with specified ranges!
(Please read the cautionary message in the next slide)
NOTE: Remember to choose the appropriate measurement level for
age1 before actually running any analyses!
24. CAUTIONARY MESSAGE!
24
Please remember to choose the right measurement for
your new “age1” variable!
The generational groups are:
GenY = 18 – 27
GENX = 28 – 43
Boomers = 44 – 60
Traditional (Silent) = 61 – *
NOTE: You may have to choose an end range for the
Traditional/Silent Generation grouping.
NOTE: Check the codes for missing values in your dataset.
You may have to recode those so that they will not conflict
with ages that are 90+ (see NOTES section in this slide).
Editor's Notes
The age range for Traditional/Silent generation is 61+If you have Silent Generation members in the 90s+ age range, you will have to pay attention to how other variables such as “missing” are coded. Often values such as 90, 99, etc are used to indicate these values. You may have to either (1) choose to define the Traditional/Silent generation withinIn this case you will have to treat age ranges that fall outside of 89 as outliers.You will have to decide if you will include them, or treat them as outliers and possibly select them out.If you choose to include them in your analysis, you will have to recode missing values so that they do not fall into that generation’s age range, thus confusing your data and analysis
The age range for Traditional/Silent generation is 61+ If you have Silent Generation members in the 90s+ age range, you will have to pay attention to how other variables such as “missing” are coded. Often values such as 90, 99, etc are used to indicate missing values. You may have to either (1) choose to define the Traditional/Silent generation within a range with a cut-off age (e.g. “89” is shown as the cut-off age)In this case you will have to treat age ranges that fall outside of 89 as outliers. If so, you will have to decide if you will select them out, for example OR: (2) You will have to recode missing values. Why? Often missing values are coded with values in the 90+ range. If you choose to include age values in your analysis that are in the 90+ range, you will have to recode those missing values in your data so that they do not fall into that generation’s age range, thus confusing your data and subsequent analysis
The age range for Traditional/Silent generation is 61+If you have Silent Generation members in the 90s+ age range, you will have to pay attention to how other variables such as “missing” are coded. Often values such as 90, 99, etc are used to indicate these values. You may have to either (1) choose to define the Traditional/Silent generation withinIn this case you will have to treat age ranges that fall outside of 89 as outliers.You will have to decide if you will include them, or treat them as outliers and possibly select them out.If you choose to include them in your analysis, you will have to recode missing values so that they do not fall into that generation’s age range, thus confusing your data and analysis