SlideShare uma empresa Scribd logo
1 de 11
Unit 5: Comparing Two Sample Means Lesson 1:  The Paired Samples  t  Test EDER 6010:  Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas To Reject or  Not to Reject? Next Slide
Paired Samples  t  Test The same people measured on the same construct on two different occasions Pre-test  ↔ Post-test (a.k.a., Dependent Samples  t  Test) Assessing the effectiveness of a reading intervention with 8 students in a single classroom Next Slide
Null Hypothesis Next Slide -2 6 4 -2 7 5 -3 7 4 -2 8 6 -2 9 7 -1 8 7 -3 9 6 -3 8 5 Diff Post Pre
Paired Samples  t  Test in SPSS Analyze  Compare Means  Paired-Samples T Test Next Slide
Paired Samples  t  Test in SPSS Next Slide
SPSS Output Next Slide Mean of the difference scores
Comparing Studies t-crit = 2.093 on 19 df Which study is more likely to produce results that are statistically significant? t-crit = 1.980 on 120 df Study 2 Next Slide N = 20 N = 20 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 1 N = 121 N = 121 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 2
Comparing Studies t-crit = 2.093 on 19 df Which study is more likely to produce results that are statistically significant? Study 2 Next Slide N = 20 N = 20 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 1 N = 20 N = 20 SD = 2 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 2
Comparing Studies t-crit = 2.093 on 19 df Which study is more likely to produce results that are statistically significant? Study 1 Next Slide N = 20 N = 20 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 1 N = 20 N = 20 SD = 10 SD = 10 Mean = 85 Mean = 80 Posttest Pretest Study 2
Factors Affecting t-calc 1.  The magnitude of the difference between the two means 2.  The “spreadoutness” of the scores 3.  The number of people in the study 4.  The level at which  α  is set Just like the Single-Sample  t  Test Next Slide
Unit 5: Comparing Two Sample Means Lesson 1:  The Paired Samples  t  Test EDER 6010:  Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas To Reject or  Not to Reject?

Mais conteúdo relacionado

Mais procurados

Lecture 10.1 10.2 bt
Lecture 10.1 10.2 btLecture 10.1 10.2 bt
Lecture 10.1 10.2 btbtmathematics
 
Assessing Maths Literacy July 2007
Assessing Maths Literacy   July 2007Assessing Maths Literacy   July 2007
Assessing Maths Literacy July 2007Maggie Verster
 
Anova lecture
Anova lectureAnova lecture
Anova lecturedoublem44
 
Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Kumar Tarun
 
Two-way Mixed Design with SPSS
Two-way Mixed Design with SPSSTwo-way Mixed Design with SPSS
Two-way Mixed Design with SPSSJ P Verma
 
Item analysis in education
Item analysis  in educationItem analysis  in education
Item analysis in educationmunsif123
 
Tugasan kumpulan anova
Tugasan kumpulan anovaTugasan kumpulan anova
Tugasan kumpulan anovapraba karan
 
Patterns Activity
Patterns ActivityPatterns Activity
Patterns ActivityJon Burke
 

Mais procurados (14)

Lecture 10.1 10.2 bt
Lecture 10.1 10.2 btLecture 10.1 10.2 bt
Lecture 10.1 10.2 bt
 
Project 3
Project 3Project 3
Project 3
 
Improving the test items
Improving the test itemsImproving the test items
Improving the test items
 
2014 11-13
2014 11-132014 11-13
2014 11-13
 
Assessing Maths Literacy July 2007
Assessing Maths Literacy   July 2007Assessing Maths Literacy   July 2007
Assessing Maths Literacy July 2007
 
Anova lecture
Anova lectureAnova lecture
Anova lecture
 
Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012
 
Two-way Mixed Design with SPSS
Two-way Mixed Design with SPSSTwo-way Mixed Design with SPSS
Two-way Mixed Design with SPSS
 
Item analysis in education
Item analysis  in educationItem analysis  in education
Item analysis in education
 
Qualitative item analysis
Qualitative item analysisQualitative item analysis
Qualitative item analysis
 
Tugasan kumpulan anova
Tugasan kumpulan anovaTugasan kumpulan anova
Tugasan kumpulan anova
 
Patterns Activity
Patterns ActivityPatterns Activity
Patterns Activity
 
In Anova
In  AnovaIn  Anova
In Anova
 
Parametric test
Parametric testParametric test
Parametric test
 

Semelhante a Unit 5 lesson 1

Nonparametric statistics ppt @ bec doms
Nonparametric statistics ppt @ bec domsNonparametric statistics ppt @ bec doms
Nonparametric statistics ppt @ bec domsBabasab Patil
 
Two Sample Tests
Two Sample TestsTwo Sample Tests
Two Sample Testssanketd1983
 
T- Distribution Report
T- Distribution ReportT- Distribution Report
T- Distribution ReportBahzad5
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research dataAtula Ahuja
 
Unit 4 lesson 2
Unit 4 lesson 2Unit 4 lesson 2
Unit 4 lesson 2VMRoberts
 
Classroom research
Classroom researchClassroom research
Classroom researchCarlo Magno
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research dataAtula Ahuja
 
The t Test for Two Related Samples
The t Test for Two Related SamplesThe t Test for Two Related Samples
The t Test for Two Related Samplesjasondroesch
 
Directions The purpose of Project 8 is to prepare you for the final.docx
Directions The purpose of Project 8 is to prepare you for the final.docxDirections The purpose of Project 8 is to prepare you for the final.docx
Directions The purpose of Project 8 is to prepare you for the final.docxeve2xjazwa
 
Day 11 t test for independent samples
Day 11 t test for independent samplesDay 11 t test for independent samples
Day 11 t test for independent samplesElih Sutisna Yanto
 
Newbold_chap15.ppt
Newbold_chap15.pptNewbold_chap15.ppt
Newbold_chap15.pptcfisicaster
 
Comparison between two statistical tests of significance
Comparison between two statistical tests of significanceComparison between two statistical tests of significance
Comparison between two statistical tests of significanceinventionjournals
 
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docxAssessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docxcargillfilberto
 
Unit 6 lesson 1
Unit 6 lesson 1Unit 6 lesson 1
Unit 6 lesson 1VMRoberts
 
Question 1 The time required for a citizen to complete t.docx
Question 1 The time required for a citizen to complete t.docxQuestion 1 The time required for a citizen to complete t.docx
Question 1 The time required for a citizen to complete t.docxIRESH3
 
Using the data in the file named Ch. 11 Data Set 2, test the resea.docx
Using the data in the file named Ch. 11 Data Set 2, test the resea.docxUsing the data in the file named Ch. 11 Data Set 2, test the resea.docx
Using the data in the file named Ch. 11 Data Set 2, test the resea.docxdaniahendric
 
Marketing Research Hypothesis Testing.pptx
Marketing Research Hypothesis Testing.pptxMarketing Research Hypothesis Testing.pptx
Marketing Research Hypothesis Testing.pptxxababid981
 

Semelhante a Unit 5 lesson 1 (20)

Nonparametric statistics ppt @ bec doms
Nonparametric statistics ppt @ bec domsNonparametric statistics ppt @ bec doms
Nonparametric statistics ppt @ bec doms
 
Two Sample Tests
Two Sample TestsTwo Sample Tests
Two Sample Tests
 
T- Distribution Report
T- Distribution ReportT- Distribution Report
T- Distribution Report
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research data
 
Unit 4 lesson 2
Unit 4 lesson 2Unit 4 lesson 2
Unit 4 lesson 2
 
Classroom research
Classroom researchClassroom research
Classroom research
 
Analyzing experimental research data
Analyzing experimental research dataAnalyzing experimental research data
Analyzing experimental research data
 
The t Test for Two Related Samples
The t Test for Two Related SamplesThe t Test for Two Related Samples
The t Test for Two Related Samples
 
Directions The purpose of Project 8 is to prepare you for the final.docx
Directions The purpose of Project 8 is to prepare you for the final.docxDirections The purpose of Project 8 is to prepare you for the final.docx
Directions The purpose of Project 8 is to prepare you for the final.docx
 
sigir2018tutorial
sigir2018tutorialsigir2018tutorial
sigir2018tutorial
 
Research Procedure
Research ProcedureResearch Procedure
Research Procedure
 
Day 11 t test for independent samples
Day 11 t test for independent samplesDay 11 t test for independent samples
Day 11 t test for independent samples
 
Newbold_chap15.ppt
Newbold_chap15.pptNewbold_chap15.ppt
Newbold_chap15.ppt
 
Comparison between two statistical tests of significance
Comparison between two statistical tests of significanceComparison between two statistical tests of significance
Comparison between two statistical tests of significance
 
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docxAssessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
Assessment 3 – Hypothesis, Effect Size, Power, and t Tests.docx
 
Unit-5.-t-test.ppt
Unit-5.-t-test.pptUnit-5.-t-test.ppt
Unit-5.-t-test.ppt
 
Unit 6 lesson 1
Unit 6 lesson 1Unit 6 lesson 1
Unit 6 lesson 1
 
Question 1 The time required for a citizen to complete t.docx
Question 1 The time required for a citizen to complete t.docxQuestion 1 The time required for a citizen to complete t.docx
Question 1 The time required for a citizen to complete t.docx
 
Using the data in the file named Ch. 11 Data Set 2, test the resea.docx
Using the data in the file named Ch. 11 Data Set 2, test the resea.docxUsing the data in the file named Ch. 11 Data Set 2, test the resea.docx
Using the data in the file named Ch. 11 Data Set 2, test the resea.docx
 
Marketing Research Hypothesis Testing.pptx
Marketing Research Hypothesis Testing.pptxMarketing Research Hypothesis Testing.pptx
Marketing Research Hypothesis Testing.pptx
 

Mais de VMRoberts

Unit 8 lesson 1
Unit 8 lesson 1Unit 8 lesson 1
Unit 8 lesson 1VMRoberts
 
Unit 7 lesson 1
Unit 7 lesson 1Unit 7 lesson 1
Unit 7 lesson 1VMRoberts
 
Unit 9 lesson 1
Unit 9 lesson 1Unit 9 lesson 1
Unit 9 lesson 1VMRoberts
 
Unit 6 lesson 2
Unit 6 lesson 2Unit 6 lesson 2
Unit 6 lesson 2VMRoberts
 
Unit 5 lesson 2
Unit 5 lesson 2Unit 5 lesson 2
Unit 5 lesson 2VMRoberts
 
Unit 4 lesson 1
Unit 4 lesson 1Unit 4 lesson 1
Unit 4 lesson 1VMRoberts
 
Unit 3 lesson 1 version 2
Unit 3 lesson 1 version 2Unit 3 lesson 1 version 2
Unit 3 lesson 1 version 2VMRoberts
 
Unit 2 lesson 2
Unit 2 lesson 2Unit 2 lesson 2
Unit 2 lesson 2VMRoberts
 
Unit 2 lesson 1
Unit 2 lesson 1Unit 2 lesson 1
Unit 2 lesson 1VMRoberts
 
Unit 1 lesson 5
Unit 1 lesson 5Unit 1 lesson 5
Unit 1 lesson 5VMRoberts
 
Unit 1 lesson 4
Unit 1 lesson 4Unit 1 lesson 4
Unit 1 lesson 4VMRoberts
 
Unit 1 lesson 3
Unit 1 lesson 3Unit 1 lesson 3
Unit 1 lesson 3VMRoberts
 
Unit 1 lesson 2
Unit 1 lesson 2Unit 1 lesson 2
Unit 1 lesson 2VMRoberts
 
Unit 1 lesson 1
Unit 1 lesson 1Unit 1 lesson 1
Unit 1 lesson 1VMRoberts
 
Unit 10 lesson 1
Unit 10 lesson 1Unit 10 lesson 1
Unit 10 lesson 1VMRoberts
 
Lecture 10.19.10
Lecture 10.19.10Lecture 10.19.10
Lecture 10.19.10VMRoberts
 
Lecture 10.5.10
Lecture 10.5.10Lecture 10.5.10
Lecture 10.5.10VMRoberts
 
Lecture 9.28.10
Lecture 9.28.10Lecture 9.28.10
Lecture 9.28.10VMRoberts
 
Lecture 9.21.10
Lecture 9.21.10Lecture 9.21.10
Lecture 9.21.10VMRoberts
 
Lecture 9.14.10
Lecture 9.14.10Lecture 9.14.10
Lecture 9.14.10VMRoberts
 

Mais de VMRoberts (20)

Unit 8 lesson 1
Unit 8 lesson 1Unit 8 lesson 1
Unit 8 lesson 1
 
Unit 7 lesson 1
Unit 7 lesson 1Unit 7 lesson 1
Unit 7 lesson 1
 
Unit 9 lesson 1
Unit 9 lesson 1Unit 9 lesson 1
Unit 9 lesson 1
 
Unit 6 lesson 2
Unit 6 lesson 2Unit 6 lesson 2
Unit 6 lesson 2
 
Unit 5 lesson 2
Unit 5 lesson 2Unit 5 lesson 2
Unit 5 lesson 2
 
Unit 4 lesson 1
Unit 4 lesson 1Unit 4 lesson 1
Unit 4 lesson 1
 
Unit 3 lesson 1 version 2
Unit 3 lesson 1 version 2Unit 3 lesson 1 version 2
Unit 3 lesson 1 version 2
 
Unit 2 lesson 2
Unit 2 lesson 2Unit 2 lesson 2
Unit 2 lesson 2
 
Unit 2 lesson 1
Unit 2 lesson 1Unit 2 lesson 1
Unit 2 lesson 1
 
Unit 1 lesson 5
Unit 1 lesson 5Unit 1 lesson 5
Unit 1 lesson 5
 
Unit 1 lesson 4
Unit 1 lesson 4Unit 1 lesson 4
Unit 1 lesson 4
 
Unit 1 lesson 3
Unit 1 lesson 3Unit 1 lesson 3
Unit 1 lesson 3
 
Unit 1 lesson 2
Unit 1 lesson 2Unit 1 lesson 2
Unit 1 lesson 2
 
Unit 1 lesson 1
Unit 1 lesson 1Unit 1 lesson 1
Unit 1 lesson 1
 
Unit 10 lesson 1
Unit 10 lesson 1Unit 10 lesson 1
Unit 10 lesson 1
 
Lecture 10.19.10
Lecture 10.19.10Lecture 10.19.10
Lecture 10.19.10
 
Lecture 10.5.10
Lecture 10.5.10Lecture 10.5.10
Lecture 10.5.10
 
Lecture 9.28.10
Lecture 9.28.10Lecture 9.28.10
Lecture 9.28.10
 
Lecture 9.21.10
Lecture 9.21.10Lecture 9.21.10
Lecture 9.21.10
 
Lecture 9.14.10
Lecture 9.14.10Lecture 9.14.10
Lecture 9.14.10
 

Último

Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
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
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
“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
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
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
 
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...RKavithamani
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991RKavithamani
 

Último (20)

Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
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
 
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
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
“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...
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
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
 
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
Industrial Policy - 1948, 1956, 1973, 1977, 1980, 1991
 

Unit 5 lesson 1

  • 1. Unit 5: Comparing Two Sample Means Lesson 1: The Paired Samples t Test EDER 6010: Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas To Reject or Not to Reject? Next Slide
  • 2. Paired Samples t Test The same people measured on the same construct on two different occasions Pre-test ↔ Post-test (a.k.a., Dependent Samples t Test) Assessing the effectiveness of a reading intervention with 8 students in a single classroom Next Slide
  • 3. Null Hypothesis Next Slide -2 6 4 -2 7 5 -3 7 4 -2 8 6 -2 9 7 -1 8 7 -3 9 6 -3 8 5 Diff Post Pre
  • 4. Paired Samples t Test in SPSS Analyze  Compare Means  Paired-Samples T Test Next Slide
  • 5. Paired Samples t Test in SPSS Next Slide
  • 6. SPSS Output Next Slide Mean of the difference scores
  • 7. Comparing Studies t-crit = 2.093 on 19 df Which study is more likely to produce results that are statistically significant? t-crit = 1.980 on 120 df Study 2 Next Slide N = 20 N = 20 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 1 N = 121 N = 121 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 2
  • 8. Comparing Studies t-crit = 2.093 on 19 df Which study is more likely to produce results that are statistically significant? Study 2 Next Slide N = 20 N = 20 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 1 N = 20 N = 20 SD = 2 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 2
  • 9. Comparing Studies t-crit = 2.093 on 19 df Which study is more likely to produce results that are statistically significant? Study 1 Next Slide N = 20 N = 20 SD = 10 SD = 10 Mean = 90 Mean = 80 Posttest Pretest Study 1 N = 20 N = 20 SD = 10 SD = 10 Mean = 85 Mean = 80 Posttest Pretest Study 2
  • 10. Factors Affecting t-calc 1. The magnitude of the difference between the two means 2. The “spreadoutness” of the scores 3. The number of people in the study 4. The level at which α is set Just like the Single-Sample t Test Next Slide
  • 11. Unit 5: Comparing Two Sample Means Lesson 1: The Paired Samples t Test EDER 6010: Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas To Reject or Not to Reject?