SlideShare a Scribd company logo
1 of 43
III- RESEARCH
Module 11-13
Finding the Answers to the Research
Question
CHAPTER 4
Objectives:
1. Interpretation of data;
2. Gathers and analyzes data with intellectual
honesty using suitable techniques; and
3. Data analysis method conceptualized
framework for qualitative research.
CHAPTER 4
03
PRESENTATION
OF DATA
01 02
ANALYSIS OF
DATA
INTERPRETATION
OF DATA
KEYPOINTS
SAMPLING- The process of selecting a few from a bigger
group to become the basis for estimating or predicting a
fact, situation or outcome regarding the bigger group.
SAMPLE- A small group that is observed while the population
is the larger group about which the generalization is made.
Sampling
Techniques
Classification
Of
Probability Sampling
1. In a SIMPLE RANDOM SAMPLE, every member
of the population has an equal chance of being
selected. Your sampling frame should include the
whole population.
2. SYSTEMATIC SAMPLING is similar to simple random
sampling, but it is usually slightly easier to conduct. Every
member of the population is listed with a number, but
instead of randomly generating numbers, individuals are
chosen at regular intervals.
3. CLUSTER SAMPLING also involves dividing the
population into subgroups, but each subgroup should have
similar characteristics to the whole sample. Instead of
sampling individuals from each subgroup, you randomly
select entire subgroups.
WAYS TO DETERMINETHE SAMPLE SIZE
Use of formula:
n= N___ Where n= size of the sample
1+ (N)(e)² 1= constant
N= size of population
e= desired margin of error
Use of percentage :
1. DESCRIPTIVE RESEARCH- 10% of a large
population of 1,000 or more; 20% for a small number of
population of 500 and less.
2. CORRELATIONAL RESEARCH – 30 subject
3. EXPERIMENTAL RESEARCH – 15 subjects per
group as preferred by some authorities
COLLECTION OF DATA
Data collection is a systematic process of gathering
observations or measurements.
- Interview schedule
- Questionnaire
CLASSIFICATION OF SOURCES
1. PRIMARY SOURCES
- Official records of legislative bodies, departments,
school officials, minutes,
2. SECONDARY SOURCES
- Reports of a person on the testimony of an actual
witness of participants in an events.
TOOLS TECHNIQUES USED IN THE
COLLECTION OF DATA
OBSERVATION. Considered as one of the oldest
forms of studying behavior.
THE INTERVIEW. A data gathering device which
enables the researcher to draw information from the
subjects or interviewee verbally in a face-to-face
relationship.
INQUIRY FORMS
Home
Steps in Data Processing
Raw Data
Interview
Questionare
Secondary Sources
Home
Step 1
Gathering all the data collected from interviews, questionnaires
and observation.
Information collected from the data gathering instruments is
called raw data or simply data.
Analysis
Coding the data
Computer
Manual
Home
Step 2
CODING THE DATA
Coding the data requires the assignment of
numerical values to the different types of responses
given by the questionnaires, interviews or
observations.
The following are the most common parametric tests used in
research
1. Person Product – Moment Correlation
- Used when there are two given sets of scores to find if these two
sets are correlated hence the correlation is called co-variable.
2. One-way Anova or F-test
- Anova stands for analysis or variance which is an experimental outcome of
a statistical variance purposely used to determine the contribution of a given factors or
variables to the variance.
3. Two-Way Anovaor Two-way test
- It is also called factorial analysis of variance.
The following are the most common parametric tests used in
research
4. T- test for Independent Sample Means
- It is a test for the observed differences between two sample means
not correlated with each other.
5. T-test for Dependent Sample Means
- The hypothesis of no difference between the pre-test and the post
test is rejected if the computed T is greater than the tabular T.
7. Z- Test
- t is used to determine the randomness of samples from a population taken from the sample mean
with expected population mean.
A SAMPLE MEAN is a computed average from raw scores randomly obtained from a well-defined
population.
NON-PARAMETRIC TESTS
The non-parametric tests are statistical tools which do not
involved the estimation of para meters of a statistical
function.
a. CHI-SQUARE GOODNESS OF FIT TEST. Used to find if
there is significant differences between an observed data
or frequency distribution on a variable are distributed.
B. CHI-SQUARE TEST OF ASSOCIATION. Used to
determine whether or not two variables are correlated,
dependent or associated with each other and appropriate
for ordinal or nominal types of data.
DATA ANALYSIS
MEANING OF
TERMS
This is the process of
reducing data to
manageable summaries.
Data can be reduced or
summarized by use of
statistics for quantitative
research or thematic
induction for qualitative.
DATA PRESENTATION
MEANING OF
TERMS
Refers to ways of
arranging data to make it
clear. Presentation is
mainly by use of visuals
followed by an
explanation of the visual.
DATA PRESENTATION
MEANING OF
TERMS
Refers to ways of
arranging data to make it
clear. Presentation is
mainly by use of visuals
followed by an
explanation of the visual.
1. Graphical Presentation
 This is the use of graphs.
2. Tabular Presentation
 This is the use of tables. Common tables that is always use is Frequency
Distribution Table
3. Numerical Presentation
 This is the use of numbers to represent a group of data. This is by the use
of descriptive and inferential statistics.
4. For Qualitative data
 Use direct quotes/ verbatim. Qualitative research uses
narrative/descriptive/thematic methods of qualitative data.
METHODS OF PRESENTING
DATA
DATA INTERPRETATION
MEANING OF
TERMS
Interpretation means
searching for meaning
and implication of
research results, in order
to make inferences, draw
conclusions and relate
theory.
DISCUSSION OF FINDINGS
MEANING OF
TERMS
This means trying the
finding to the literature
review. This is done by
comparing your own finding
with other empirical findings
reviewed in Chapter 2. The
purpose is to show your
findings agree or disagree
with the example body of
knowledge.
SAMPLE
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
OUR GOALS
LINKS
Links for advance study:
https://ph.video.search.yahoo.com/search/video;_ylt=Awr1UUvqBQZkC84jkRyzRwx.;_ylu=Y2
9sbwNzZzMEcG9zAzEEdnRpZAMEc2VjA3BpdnM-
?p=interpretation+of+data+in+research+chapter&fr2=piv-
web&type=E210PH885G0&fr=mcafee#id=3&vid=59a6344fce0b4099f96df6a5cbf80452&action=
view
Youtube: ANA PH
OUR GOALS
For your individual output, answer the document that I will send in your gc. Please
be guided in answering the activity and when to be submitted.
CREDITS: This presentation template was created by Slidesgo, including
icons by Flaticon, and infographics & images by Freepik
THANKS!

More Related Content

What's hot

PR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.pptPR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.pptjeonalugon1
 
PR2 Week 1.pptx
PR2 Week 1.pptxPR2 Week 1.pptx
PR2 Week 1.pptxFilIlagan1
 
Chapter 4 - Research Parts Guide.pptx
Chapter 4 - Research Parts Guide.pptxChapter 4 - Research Parts Guide.pptx
Chapter 4 - Research Parts Guide.pptxGelmelinaLeaLepitenH
 
Chapter 4 Understanding Data and Ways to Systematically Collect Data
Chapter 4   Understanding Data and Ways to Systematically Collect DataChapter 4   Understanding Data and Ways to Systematically Collect Data
Chapter 4 Understanding Data and Ways to Systematically Collect DataCarla Kristina Cruz
 
Chapter 3 Learning from Other Studies and Reviewing the Literature
Chapter 3   Learning from Other Studies and Reviewing the LiteratureChapter 3   Learning from Other Studies and Reviewing the Literature
Chapter 3 Learning from Other Studies and Reviewing the LiteratureCarla Kristina Cruz
 
Nature of Inquiry and Research
Nature of Inquiry and ResearchNature of Inquiry and Research
Nature of Inquiry and ResearchWENDELL TARAYA
 
Lesson 19 choosing an appropriate research design
Lesson 19  choosing an appropriate research designLesson 19  choosing an appropriate research design
Lesson 19 choosing an appropriate research designmjlobetos
 
Qualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and ProceduresQualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and ProceduresGhail RC
 
An Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research MethodologyAn Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research Methodologyschool
 
Qualitative Research: Importance in Daily Life
Qualitative Research: Importance in Daily LifeQualitative Research: Importance in Daily Life
Qualitative Research: Importance in Daily LifeIndayManasseh
 
Midterm quiz in practical research
Midterm quiz in practical researchMidterm quiz in practical research
Midterm quiz in practical researchDepEd
 
Position Paper.pdf
Position Paper.pdfPosition Paper.pdf
Position Paper.pdfCendz Flores
 
Media and Information Literacy (MIL) - Text Information and Media (Part 1)
Media and Information Literacy (MIL) - Text Information and Media (Part 1)Media and Information Literacy (MIL) - Text Information and Media (Part 1)
Media and Information Literacy (MIL) - Text Information and Media (Part 1)Arniel Ping
 
Manipulative Information and Media.pptx
Manipulative Information and Media.pptxManipulative Information and Media.pptx
Manipulative Information and Media.pptxCherryLaneLepura1
 

What's hot (20)

Module 1 Lesson 4.pptx
Module 1 Lesson 4.pptxModule 1 Lesson 4.pptx
Module 1 Lesson 4.pptx
 
PR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.pptPR1 Module 5-Methodology-Ppt.ppt
PR1 Module 5-Methodology-Ppt.ppt
 
PR2 Week 1.pptx
PR2 Week 1.pptxPR2 Week 1.pptx
PR2 Week 1.pptx
 
Chapter 4
Chapter 4Chapter 4
Chapter 4
 
Qualitative format
Qualitative formatQualitative format
Qualitative format
 
Chapter 4 - Research Parts Guide.pptx
Chapter 4 - Research Parts Guide.pptxChapter 4 - Research Parts Guide.pptx
Chapter 4 - Research Parts Guide.pptx
 
Chapter 4 Understanding Data and Ways to Systematically Collect Data
Chapter 4   Understanding Data and Ways to Systematically Collect DataChapter 4   Understanding Data and Ways to Systematically Collect Data
Chapter 4 Understanding Data and Ways to Systematically Collect Data
 
Chapter 3 Learning from Other Studies and Reviewing the Literature
Chapter 3   Learning from Other Studies and Reviewing the LiteratureChapter 3   Learning from Other Studies and Reviewing the Literature
Chapter 3 Learning from Other Studies and Reviewing the Literature
 
Nature of Inquiry and Research
Nature of Inquiry and ResearchNature of Inquiry and Research
Nature of Inquiry and Research
 
Lesson 19 choosing an appropriate research design
Lesson 19  choosing an appropriate research designLesson 19  choosing an appropriate research design
Lesson 19 choosing an appropriate research design
 
Kabanata 5
Kabanata 5Kabanata 5
Kabanata 5
 
Qualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and ProceduresQualitative Research Chapter 3 g11 Research Method and Procedures
Qualitative Research Chapter 3 g11 Research Method and Procedures
 
An Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research MethodologyAn Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research Methodology
 
Qualitative Research: Importance in Daily Life
Qualitative Research: Importance in Daily LifeQualitative Research: Importance in Daily Life
Qualitative Research: Importance in Daily Life
 
Midterm quiz in practical research
Midterm quiz in practical researchMidterm quiz in practical research
Midterm quiz in practical research
 
PRACTICAL RESEARCH 1.pptx
PRACTICAL RESEARCH 1.pptxPRACTICAL RESEARCH 1.pptx
PRACTICAL RESEARCH 1.pptx
 
Intertext
IntertextIntertext
Intertext
 
Position Paper.pdf
Position Paper.pdfPosition Paper.pdf
Position Paper.pdf
 
Media and Information Literacy (MIL) - Text Information and Media (Part 1)
Media and Information Literacy (MIL) - Text Information and Media (Part 1)Media and Information Literacy (MIL) - Text Information and Media (Part 1)
Media and Information Literacy (MIL) - Text Information and Media (Part 1)
 
Manipulative Information and Media.pptx
Manipulative Information and Media.pptxManipulative Information and Media.pptx
Manipulative Information and Media.pptx
 

Similar to Research_Module11-13.pptx

SAMPLING TECHNIQUES.pptx
SAMPLING TECHNIQUES.pptxSAMPLING TECHNIQUES.pptx
SAMPLING TECHNIQUES.pptxMayFerry
 
Data Collection And Analysis
Data Collection And AnalysisData Collection And Analysis
Data Collection And AnalysisDivya Krishnan
 
Sampling Techniques, Data Collection and tabulation in the field of Social Sc...
Sampling Techniques, Data Collection and tabulation in the field of Social Sc...Sampling Techniques, Data Collection and tabulation in the field of Social Sc...
Sampling Techniques, Data Collection and tabulation in the field of Social Sc...Manoj Sharma
 
Data Presentation & Analysis.pptx
Data Presentation & Analysis.pptxData Presentation & Analysis.pptx
Data Presentation & Analysis.pptxheencomm
 
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptxCHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptxDonnaVallestero3
 
chapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptx
chapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptxchapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptx
chapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptxvenuspatatag4
 
practical reporting.pptx
practical reporting.pptxpractical reporting.pptx
practical reporting.pptxprimoboymante
 
Review of descriptive statistics
Review of descriptive statisticsReview of descriptive statistics
Review of descriptive statisticsAniceto Naval
 
Practical Research 1 about quantitative and qualitative methods
Practical Research 1 about quantitative and qualitative methodsPractical Research 1 about quantitative and qualitative methods
Practical Research 1 about quantitative and qualitative methodsAndoJoshua
 
Quantitative and Qualitative Approaches.pdf
Quantitative and Qualitative Approaches.pdfQuantitative and Qualitative Approaches.pdf
Quantitative and Qualitative Approaches.pdfssuser504dda
 
Glossary
GlossaryGlossary
Glossaryasfawm
 
Data Collection and Sampling Techniques Demo ppt.pptx
Data Collection and Sampling Techniques Demo ppt.pptxData Collection and Sampling Techniques Demo ppt.pptx
Data Collection and Sampling Techniques Demo ppt.pptxChristianAlcaide2
 

Similar to Research_Module11-13.pptx (20)

SAMPLING TECHNIQUES.pptx
SAMPLING TECHNIQUES.pptxSAMPLING TECHNIQUES.pptx
SAMPLING TECHNIQUES.pptx
 
Data Collection And Analysis
Data Collection And AnalysisData Collection And Analysis
Data Collection And Analysis
 
Sampling Techniques, Data Collection and tabulation in the field of Social Sc...
Sampling Techniques, Data Collection and tabulation in the field of Social Sc...Sampling Techniques, Data Collection and tabulation in the field of Social Sc...
Sampling Techniques, Data Collection and tabulation in the field of Social Sc...
 
Data Presentation & Analysis.pptx
Data Presentation & Analysis.pptxData Presentation & Analysis.pptx
Data Presentation & Analysis.pptx
 
Stat and prob a recap
Stat and prob   a recapStat and prob   a recap
Stat and prob a recap
 
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptxCHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
CHAPTER 15-HOW TO WRITE CHAPTER 3.pptx
 
Sampling
SamplingSampling
Sampling
 
Data collection.pdf
Data collection.pdfData collection.pdf
Data collection.pdf
 
chapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptx
chapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptxchapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptx
chapter4-understandingdataandwaystosystematicallycollectdata-170809052400.pptx
 
1.3 collecting sample data
1.3 collecting sample data1.3 collecting sample data
1.3 collecting sample data
 
Mm22
Mm22Mm22
Mm22
 
practical reporting.pptx
practical reporting.pptxpractical reporting.pptx
practical reporting.pptx
 
Review of descriptive statistics
Review of descriptive statisticsReview of descriptive statistics
Review of descriptive statistics
 
Practical Research 1 about quantitative and qualitative methods
Practical Research 1 about quantitative and qualitative methodsPractical Research 1 about quantitative and qualitative methods
Practical Research 1 about quantitative and qualitative methods
 
Project Monitorig and Evaluation_Data Collection Methods.pptx
Project Monitorig and Evaluation_Data Collection Methods.pptxProject Monitorig and Evaluation_Data Collection Methods.pptx
Project Monitorig and Evaluation_Data Collection Methods.pptx
 
Quantitative and Qualitative Approaches.pdf
Quantitative and Qualitative Approaches.pdfQuantitative and Qualitative Approaches.pdf
Quantitative and Qualitative Approaches.pdf
 
7. research_design.pptx
7. research_design.pptx7. research_design.pptx
7. research_design.pptx
 
Glossary
GlossaryGlossary
Glossary
 
Data Collection and Sampling Techniques Demo ppt.pptx
Data Collection and Sampling Techniques Demo ppt.pptxData Collection and Sampling Techniques Demo ppt.pptx
Data Collection and Sampling Techniques Demo ppt.pptx
 
196309903 q-answer
196309903 q-answer196309903 q-answer
196309903 q-answer
 

Recently uploaded

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 

Recently uploaded (20)

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 

Research_Module11-13.pptx

  • 2. Finding the Answers to the Research Question CHAPTER 4
  • 3. Objectives: 1. Interpretation of data; 2. Gathers and analyzes data with intellectual honesty using suitable techniques; and 3. Data analysis method conceptualized framework for qualitative research.
  • 4. CHAPTER 4 03 PRESENTATION OF DATA 01 02 ANALYSIS OF DATA INTERPRETATION OF DATA
  • 5. KEYPOINTS SAMPLING- The process of selecting a few from a bigger group to become the basis for estimating or predicting a fact, situation or outcome regarding the bigger group. SAMPLE- A small group that is observed while the population is the larger group about which the generalization is made.
  • 7. 1. In a SIMPLE RANDOM SAMPLE, every member of the population has an equal chance of being selected. Your sampling frame should include the whole population.
  • 8. 2. SYSTEMATIC SAMPLING is similar to simple random sampling, but it is usually slightly easier to conduct. Every member of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at regular intervals.
  • 9. 3. CLUSTER SAMPLING also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample. Instead of sampling individuals from each subgroup, you randomly select entire subgroups.
  • 10. WAYS TO DETERMINETHE SAMPLE SIZE Use of formula: n= N___ Where n= size of the sample 1+ (N)(e)² 1= constant N= size of population e= desired margin of error
  • 11. Use of percentage : 1. DESCRIPTIVE RESEARCH- 10% of a large population of 1,000 or more; 20% for a small number of population of 500 and less. 2. CORRELATIONAL RESEARCH – 30 subject 3. EXPERIMENTAL RESEARCH – 15 subjects per group as preferred by some authorities
  • 12. COLLECTION OF DATA Data collection is a systematic process of gathering observations or measurements. - Interview schedule - Questionnaire
  • 13. CLASSIFICATION OF SOURCES 1. PRIMARY SOURCES - Official records of legislative bodies, departments, school officials, minutes, 2. SECONDARY SOURCES - Reports of a person on the testimony of an actual witness of participants in an events.
  • 14. TOOLS TECHNIQUES USED IN THE COLLECTION OF DATA OBSERVATION. Considered as one of the oldest forms of studying behavior. THE INTERVIEW. A data gathering device which enables the researcher to draw information from the subjects or interviewee verbally in a face-to-face relationship. INQUIRY FORMS
  • 15. Home Steps in Data Processing Raw Data Interview Questionare Secondary Sources
  • 16. Home Step 1 Gathering all the data collected from interviews, questionnaires and observation. Information collected from the data gathering instruments is called raw data or simply data. Analysis Coding the data Computer Manual
  • 17. Home Step 2 CODING THE DATA Coding the data requires the assignment of numerical values to the different types of responses given by the questionnaires, interviews or observations.
  • 18. The following are the most common parametric tests used in research 1. Person Product – Moment Correlation - Used when there are two given sets of scores to find if these two sets are correlated hence the correlation is called co-variable. 2. One-way Anova or F-test - Anova stands for analysis or variance which is an experimental outcome of a statistical variance purposely used to determine the contribution of a given factors or variables to the variance. 3. Two-Way Anovaor Two-way test - It is also called factorial analysis of variance.
  • 19. The following are the most common parametric tests used in research 4. T- test for Independent Sample Means - It is a test for the observed differences between two sample means not correlated with each other. 5. T-test for Dependent Sample Means - The hypothesis of no difference between the pre-test and the post test is rejected if the computed T is greater than the tabular T. 7. Z- Test - t is used to determine the randomness of samples from a population taken from the sample mean with expected population mean. A SAMPLE MEAN is a computed average from raw scores randomly obtained from a well-defined population.
  • 20. NON-PARAMETRIC TESTS The non-parametric tests are statistical tools which do not involved the estimation of para meters of a statistical function. a. CHI-SQUARE GOODNESS OF FIT TEST. Used to find if there is significant differences between an observed data or frequency distribution on a variable are distributed. B. CHI-SQUARE TEST OF ASSOCIATION. Used to determine whether or not two variables are correlated, dependent or associated with each other and appropriate for ordinal or nominal types of data.
  • 21. DATA ANALYSIS MEANING OF TERMS This is the process of reducing data to manageable summaries. Data can be reduced or summarized by use of statistics for quantitative research or thematic induction for qualitative.
  • 22. DATA PRESENTATION MEANING OF TERMS Refers to ways of arranging data to make it clear. Presentation is mainly by use of visuals followed by an explanation of the visual.
  • 23. DATA PRESENTATION MEANING OF TERMS Refers to ways of arranging data to make it clear. Presentation is mainly by use of visuals followed by an explanation of the visual.
  • 24. 1. Graphical Presentation  This is the use of graphs. 2. Tabular Presentation  This is the use of tables. Common tables that is always use is Frequency Distribution Table 3. Numerical Presentation  This is the use of numbers to represent a group of data. This is by the use of descriptive and inferential statistics. 4. For Qualitative data  Use direct quotes/ verbatim. Qualitative research uses narrative/descriptive/thematic methods of qualitative data. METHODS OF PRESENTING DATA
  • 25. DATA INTERPRETATION MEANING OF TERMS Interpretation means searching for meaning and implication of research results, in order to make inferences, draw conclusions and relate theory.
  • 26. DISCUSSION OF FINDINGS MEANING OF TERMS This means trying the finding to the literature review. This is done by comparing your own finding with other empirical findings reviewed in Chapter 2. The purpose is to show your findings agree or disagree with the example body of knowledge.
  • 41. LINKS Links for advance study: https://ph.video.search.yahoo.com/search/video;_ylt=Awr1UUvqBQZkC84jkRyzRwx.;_ylu=Y2 9sbwNzZzMEcG9zAzEEdnRpZAMEc2VjA3BpdnM- ?p=interpretation+of+data+in+research+chapter&fr2=piv- web&type=E210PH885G0&fr=mcafee#id=3&vid=59a6344fce0b4099f96df6a5cbf80452&action= view Youtube: ANA PH
  • 42. OUR GOALS For your individual output, answer the document that I will send in your gc. Please be guided in answering the activity and when to be submitted.
  • 43. CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, and infographics & images by Freepik THANKS!