Introduction to statistics in human performance: using SPSS and R
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Routledge
2019
|
| Ausgabe: | Second edition |
| Schlagwörter: | |
| Links: | http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781351211055 |
| Abstract: | An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics |
| Beschreibung: | First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015 Includes index |
| Umfang: | 1 Online Ressource (440 Seiten) |
| ISBN: | 9781351211062 |
Internformat
MARC
| LEADER | 00000nam a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV046227953 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 191104s2019 xx o|||| 00||| eng d | ||
| 020 | |a 9781351211062 |9 9781351211062 | ||
| 035 | |a (OCoLC)1126555492 | ||
| 035 | |a (DE-599)BVBBV046227953 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-11 | ||
| 100 | 1 | |a Mood, Dale P. |e Verfasser |0 (DE-588)1197312277 |4 aut | |
| 245 | 1 | 0 | |a Introduction to statistics in human performance |b using SPSS and R |c Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen |
| 250 | |a Second edition | ||
| 264 | 1 | |a New York, NY |b Routledge |c 2019 | |
| 300 | |a 1 Online Ressource (440 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015 | ||
| 500 | |a Includes index | ||
| 505 | 8 | |a Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method | |
| 505 | 8 | |a Video 1.3 Knowing and the Scientific MethodResearch Validity; Internal Validity; External Validity; Balancing Internal and External Validity; Factors Threatening Internal Validity; Increasing Internal Validity; Video 1.4 Internal Validity and Threats to It; Factors Threatening External Validity; Improving External Validity; Video 1.5 External Validity and Threats to It; The Relationship Between Internal and External Validity; Experimental Design; Selection of Statistical Procedure; Summary; Video 1.6 Chapter 1 Summary: Concepts and Terms; Review Questions and Practice Problems; References | |
| 505 | 8 | |a 2 Introduction to Measurement and StatisticsIntroduction; Statistics as a Tool; Introduction to Measurement; Levels of Measurement; Video 2.1 Introduction to Measurement; Accuracy of Measurement; Measurement Validity; Video 2.2 Measurement Validity; Measurement Reliability; Video 2.3 Measurement Reliability; Measurement Objectivity; The Relationship Between Measurement Validity and Reliability; Types of Statistics; Descriptive Statistics; Correlational Statistics; Inferential Statistics; Video 2.4 Categories of Statistics: Descriptive, Correlational, and Inferential; Use of SPSS and R | |
| 505 | 8 | |a Video 3.2R RStudio Calculating Measures of Central TendencyThe Danger of Using the Word Average; Measures of Variability; Range; Semi-Interquartile Range; Population Variance; Population Standard Deviation; Calculating Variance and Standard Deviation; Sample Variance and Standard Deviation; Raw Score Equations for Sample Variance and Standard Deviation; Video 3.3 Variance and Standard Deviation as Measures of Variability; Video 3.4 SPSS Various Equations to Calculate Variance and Standard Deviation; Video 3.4R RStudio Various Equations to Calculate Variance and Standard Deviation; Summary | |
| 520 | 3 | |a An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics | |
| 653 | |a SPSS (Computer file) | ||
| 653 | 0 | |a Statistics / Textbooks | |
| 653 | 0 | |a Statistics / Data processing | |
| 653 | 0 | |a Exercise / Physiological aspects / Mathematics | |
| 653 | 0 | |a R (Computer program language) | |
| 653 | 0 | |a MATHEMATICS / Probability & Statistics / General | |
| 653 | 0 | |a SPORTS & RECREATION / General | |
| 653 | |a SPSS (Computer file) | ||
| 653 | 0 | |a Exercise / Physiological aspects / Mathematics | |
| 653 | 0 | |a R (Computer program language) | |
| 653 | 0 | |a Statistics | |
| 653 | 0 | |a Statistics / Data processing | |
| 653 | 6 | |a Electronic books | |
| 653 | 6 | |a Textbooks | |
| 700 | 1 | |a Morrow, James R. |e Sonstige |0 (DE-588)14243406X |4 oth | |
| 700 | 1 | |a McQueen, Matthew B. |e Sonstige |0 (DE-588)1197313214 |4 oth | |
| 856 | 4 | 0 | |u http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781351211055 |
| 912 | |a ebook | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-031606477 | |
Datensatz im Suchindex
| _version_ | 1818986177593606144 |
|---|---|
| any_adam_object | |
| author | Mood, Dale P. |
| author_GND | (DE-588)1197312277 (DE-588)14243406X (DE-588)1197313214 |
| author_facet | Mood, Dale P. |
| author_role | aut |
| author_sort | Mood, Dale P. |
| author_variant | d p m dp dpm |
| building | Verbundindex |
| bvnumber | BV046227953 |
| collection | ebook |
| contents | Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method Video 1.3 Knowing and the Scientific MethodResearch Validity; Internal Validity; External Validity; Balancing Internal and External Validity; Factors Threatening Internal Validity; Increasing Internal Validity; Video 1.4 Internal Validity and Threats to It; Factors Threatening External Validity; Improving External Validity; Video 1.5 External Validity and Threats to It; The Relationship Between Internal and External Validity; Experimental Design; Selection of Statistical Procedure; Summary; Video 1.6 Chapter 1 Summary: Concepts and Terms; Review Questions and Practice Problems; References 2 Introduction to Measurement and StatisticsIntroduction; Statistics as a Tool; Introduction to Measurement; Levels of Measurement; Video 2.1 Introduction to Measurement; Accuracy of Measurement; Measurement Validity; Video 2.2 Measurement Validity; Measurement Reliability; Video 2.3 Measurement Reliability; Measurement Objectivity; The Relationship Between Measurement Validity and Reliability; Types of Statistics; Descriptive Statistics; Correlational Statistics; Inferential Statistics; Video 2.4 Categories of Statistics: Descriptive, Correlational, and Inferential; Use of SPSS and R Video 3.2R RStudio Calculating Measures of Central TendencyThe Danger of Using the Word Average; Measures of Variability; Range; Semi-Interquartile Range; Population Variance; Population Standard Deviation; Calculating Variance and Standard Deviation; Sample Variance and Standard Deviation; Raw Score Equations for Sample Variance and Standard Deviation; Video 3.3 Variance and Standard Deviation as Measures of Variability; Video 3.4 SPSS Various Equations to Calculate Variance and Standard Deviation; Video 3.4R RStudio Various Equations to Calculate Variance and Standard Deviation; Summary |
| ctrlnum | (OCoLC)1126555492 (DE-599)BVBBV046227953 |
| edition | Second edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05602nam a22005651c 4500</leader><controlfield tag="001">BV046227953</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">191104s2019 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781351211062</subfield><subfield code="9">9781351211062</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1126555492</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046227953</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mood, Dale P.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1197312277</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to statistics in human performance</subfield><subfield code="b">using SPSS and R</subfield><subfield code="c">Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Routledge</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online Ressource (440 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Video 1.3 Knowing and the Scientific MethodResearch Validity; Internal Validity; External Validity; Balancing Internal and External Validity; Factors Threatening Internal Validity; Increasing Internal Validity; Video 1.4 Internal Validity and Threats to It; Factors Threatening External Validity; Improving External Validity; Video 1.5 External Validity and Threats to It; The Relationship Between Internal and External Validity; Experimental Design; Selection of Statistical Procedure; Summary; Video 1.6 Chapter 1 Summary: Concepts and Terms; Review Questions and Practice Problems; References</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2 Introduction to Measurement and StatisticsIntroduction; Statistics as a Tool; Introduction to Measurement; Levels of Measurement; Video 2.1 Introduction to Measurement; Accuracy of Measurement; Measurement Validity; Video 2.2 Measurement Validity; Measurement Reliability; Video 2.3 Measurement Reliability; Measurement Objectivity; The Relationship Between Measurement Validity and Reliability; Types of Statistics; Descriptive Statistics; Correlational Statistics; Inferential Statistics; Video 2.4 Categories of Statistics: Descriptive, Correlational, and Inferential; Use of SPSS and R</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Video 3.2R RStudio Calculating Measures of Central TendencyThe Danger of Using the Word Average; Measures of Variability; Range; Semi-Interquartile Range; Population Variance; Population Standard Deviation; Calculating Variance and Standard Deviation; Sample Variance and Standard Deviation; Raw Score Equations for Sample Variance and Standard Deviation; Video 3.3 Variance and Standard Deviation as Measures of Variability; Video 3.4 SPSS Various Equations to Calculate Variance and Standard Deviation; Video 3.4R RStudio Various Equations to Calculate Variance and Standard Deviation; Summary</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SPSS (Computer file)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistics / Textbooks</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistics / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Exercise / Physiological aspects / Mathematics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">MATHEMATICS / Probability & Statistics / General</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">SPORTS & RECREATION / General</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SPSS (Computer file)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Exercise / Physiological aspects / Mathematics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Statistics / Data processing</subfield></datafield><datafield tag="653" ind1=" " ind2="6"><subfield code="a">Electronic books</subfield></datafield><datafield tag="653" ind1=" " ind2="6"><subfield code="a">Textbooks</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Morrow, James R.</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)14243406X</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McQueen, Matthew B.</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1197313214</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781351211055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031606477</subfield></datafield></record></collection> |
| id | DE-604.BV046227953 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:46:39Z |
| institution | BVB |
| isbn | 9781351211062 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031606477 |
| oclc_num | 1126555492 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | 1 Online Ressource (440 Seiten) |
| psigel | ebook |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Routledge |
| record_format | marc |
| spelling | Mood, Dale P. Verfasser (DE-588)1197312277 aut Introduction to statistics in human performance using SPSS and R Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen Second edition New York, NY Routledge 2019 1 Online Ressource (440 Seiten) txt rdacontent c rdamedia cr rdacarrier First edition published: Scottsdale, Arizona : Holcomb Hathaway, Publishers, 2015 Includes index Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method Video 1.3 Knowing and the Scientific MethodResearch Validity; Internal Validity; External Validity; Balancing Internal and External Validity; Factors Threatening Internal Validity; Increasing Internal Validity; Video 1.4 Internal Validity and Threats to It; Factors Threatening External Validity; Improving External Validity; Video 1.5 External Validity and Threats to It; The Relationship Between Internal and External Validity; Experimental Design; Selection of Statistical Procedure; Summary; Video 1.6 Chapter 1 Summary: Concepts and Terms; Review Questions and Practice Problems; References 2 Introduction to Measurement and StatisticsIntroduction; Statistics as a Tool; Introduction to Measurement; Levels of Measurement; Video 2.1 Introduction to Measurement; Accuracy of Measurement; Measurement Validity; Video 2.2 Measurement Validity; Measurement Reliability; Video 2.3 Measurement Reliability; Measurement Objectivity; The Relationship Between Measurement Validity and Reliability; Types of Statistics; Descriptive Statistics; Correlational Statistics; Inferential Statistics; Video 2.4 Categories of Statistics: Descriptive, Correlational, and Inferential; Use of SPSS and R Video 3.2R RStudio Calculating Measures of Central TendencyThe Danger of Using the Word Average; Measures of Variability; Range; Semi-Interquartile Range; Population Variance; Population Standard Deviation; Calculating Variance and Standard Deviation; Sample Variance and Standard Deviation; Raw Score Equations for Sample Variance and Standard Deviation; Video 3.3 Variance and Standard Deviation as Measures of Variability; Video 3.4 SPSS Various Equations to Calculate Variance and Standard Deviation; Video 3.4R RStudio Various Equations to Calculate Variance and Standard Deviation; Summary An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics SPSS (Computer file) Statistics / Textbooks Statistics / Data processing Exercise / Physiological aspects / Mathematics R (Computer program language) MATHEMATICS / Probability & Statistics / General SPORTS & RECREATION / General Statistics Electronic books Textbooks Morrow, James R. Sonstige (DE-588)14243406X oth McQueen, Matthew B. Sonstige (DE-588)1197313214 oth http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781351211055 |
| spellingShingle | Mood, Dale P. Introduction to statistics in human performance using SPSS and R Cover; Half Title; Title; Copyright; Dedication; Contents; Lists of Figures; List of Tables; List of Symbols; List of Equations; Preface; Acknowledgments; Student Introduction; 1 Research Methods; Introduction; Video 1.1 Introduction to Research Issues and Vocabulary; The Nature of Research; Gaining Knowledge; Theories; Hypotheses; Video 1.2 How Statistics Fit into Research; Levels of Knowledge; Types of Reasoning; Types of Research; The Scientific Method; The Data Collected; Populations and Samples; Variables; Variance; Summary of the Scientific Method Video 1.3 Knowing and the Scientific MethodResearch Validity; Internal Validity; External Validity; Balancing Internal and External Validity; Factors Threatening Internal Validity; Increasing Internal Validity; Video 1.4 Internal Validity and Threats to It; Factors Threatening External Validity; Improving External Validity; Video 1.5 External Validity and Threats to It; The Relationship Between Internal and External Validity; Experimental Design; Selection of Statistical Procedure; Summary; Video 1.6 Chapter 1 Summary: Concepts and Terms; Review Questions and Practice Problems; References 2 Introduction to Measurement and StatisticsIntroduction; Statistics as a Tool; Introduction to Measurement; Levels of Measurement; Video 2.1 Introduction to Measurement; Accuracy of Measurement; Measurement Validity; Video 2.2 Measurement Validity; Measurement Reliability; Video 2.3 Measurement Reliability; Measurement Objectivity; The Relationship Between Measurement Validity and Reliability; Types of Statistics; Descriptive Statistics; Correlational Statistics; Inferential Statistics; Video 2.4 Categories of Statistics: Descriptive, Correlational, and Inferential; Use of SPSS and R Video 3.2R RStudio Calculating Measures of Central TendencyThe Danger of Using the Word Average; Measures of Variability; Range; Semi-Interquartile Range; Population Variance; Population Standard Deviation; Calculating Variance and Standard Deviation; Sample Variance and Standard Deviation; Raw Score Equations for Sample Variance and Standard Deviation; Video 3.3 Variance and Standard Deviation as Measures of Variability; Video 3.4 SPSS Various Equations to Calculate Variance and Standard Deviation; Video 3.4R RStudio Various Equations to Calculate Variance and Standard Deviation; Summary |
| title | Introduction to statistics in human performance using SPSS and R |
| title_auth | Introduction to statistics in human performance using SPSS and R |
| title_exact_search | Introduction to statistics in human performance using SPSS and R |
| title_full | Introduction to statistics in human performance using SPSS and R Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen |
| title_fullStr | Introduction to statistics in human performance using SPSS and R Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen |
| title_full_unstemmed | Introduction to statistics in human performance using SPSS and R Dale P. Mood, James R. Morrow, Jr., and Matthew B. McQueen |
| title_short | Introduction to statistics in human performance |
| title_sort | introduction to statistics in human performance using spss and r |
| title_sub | using SPSS and R |
| url | http://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781351211055 |
| work_keys_str_mv | AT mooddalep introductiontostatisticsinhumanperformanceusingspssandr AT morrowjamesr introductiontostatisticsinhumanperformanceusingspssandr AT mcqueenmatthewb introductiontostatisticsinhumanperformanceusingspssandr |