Handbook of quantitative methods for educational research:
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Rotterdam
Sense
[2013]
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| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (viii, 404 pages) illustrations |
| ISBN: | 9462094020 9462094039 9462094047 9789462094024 9789462094031 9789462094048 |
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| 505 | 8 | |a As part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researchers seek to address. This handbook serves to act as a reference for educational researchers and practitioners who desire to acquire knowledge and skills in quantitative methods for data analysis or to obtain deeper insights from published works. Written by experienced researchers and educators, each chapter in this handbook covers a methodological topic with attention paid to the theory, procedures, and the challenges on the use of that particular methodology. It is hoped that readers will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area | |
| 505 | 8 | 0 | |t Measurement Theory -- |t Psychometrics |t Classical Test Theory |t Item Response Theory |t Methods of Analysis -- |t Multiple Regression |t Cluster Analysis |t Multivariate Analysis of Variance |t Logistic Regression |t Exploratory Factor Analysis |t A Brief Introduction to Hierarchical Linear Modeling |t Longitudinal Data Analysis |t Meta-Analysis |t Agent Based Modelling |t Mediation, Moderation & Interaction |t Structural Equation Models -- |t Introduction to Confirmatory Factor Analysis and Structural Equation Modeling |t Testing Measurement and Structural Invariance |t Mixture Models in Education |t Selecting Sem Computer Programs |r Mark Wilson, Perman Gochyyev -- |r Ze Wang, Steven J. Osterlind -- |r Xitao Fan, Shaojing Sun -- |r Ken Kelley, Jocelyn H. Bolin -- |r Christine Distefano, Diana Mindrila -- |r Lisa L. Harlow, Sunny R. Duerr -- |r Brian F. French, Jason C. Immekus, Hsiao-Ju Yen -- |r W. Holmes Finch -- |r Jason W. Osborne, Shevaun D. Neupert -- |r D. Betsy Mccoach, John P. Madura, Karen E. Rambo-Hernandez, Ann A. O'Connell ... -- |r Spyros Konstantopoulos -- |r Mauricio Salgado, Nigel Gilbert -- |r James Hall, Pamela Sammons -- |r Matthew W. Gallagher, Timothy A. Brown -- |r Daniel A. Sass, Thomas A. Schmitt -- |r George A. Marcoulides, Ronald H. Heck -- |r Barbara M. Byrne |
| 650 | 7 | |a EDUCATION / Essays |2 bisacsh | |
| 650 | 7 | |a EDUCATION / Organizations & Institutions |2 bisacsh | |
| 650 | 7 | |a EDUCATION / Reference |2 bisacsh | |
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| 650 | 7 | |a Quantitative research |2 fast | |
| 650 | 4 | |a Erziehung | |
| 650 | 4 | |a Education |x Research |x Methodology | |
| 650 | 4 | |a Quantitative research | |
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Record in the Search Index
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|---|---|
| any_adam_object | |
| author2 | Teo, Timothy |
| author2_role | edt |
| author2_variant | t t tt |
| author_additional | Mark Wilson, Perman Gochyyev -- Ze Wang, Steven J. Osterlind -- Xitao Fan, Shaojing Sun -- Ken Kelley, Jocelyn H. Bolin -- Christine Distefano, Diana Mindrila -- Lisa L. Harlow, Sunny R. Duerr -- Brian F. French, Jason C. Immekus, Hsiao-Ju Yen -- W. Holmes Finch -- Jason W. Osborne, Shevaun D. Neupert -- D. Betsy Mccoach, John P. Madura, Karen E. Rambo-Hernandez, Ann A. O'Connell ... -- Spyros Konstantopoulos -- Mauricio Salgado, Nigel Gilbert -- James Hall, Pamela Sammons -- Matthew W. Gallagher, Timothy A. Brown -- Daniel A. Sass, Thomas A. Schmitt -- George A. Marcoulides, Ronald H. Heck -- Barbara M. Byrne |
| author_facet | Teo, Timothy |
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| contents | As part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researchers seek to address. This handbook serves to act as a reference for educational researchers and practitioners who desire to acquire knowledge and skills in quantitative methods for data analysis or to obtain deeper insights from published works. Written by experienced researchers and educators, each chapter in this handbook covers a methodological topic with attention paid to the theory, procedures, and the challenges on the use of that particular methodology. It is hoped that readers will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area Measurement Theory -- Psychometrics Classical Test Theory Item Response Theory Methods of Analysis -- Multiple Regression Cluster Analysis Multivariate Analysis of Variance Logistic Regression Exploratory Factor Analysis A Brief Introduction to Hierarchical Linear Modeling Longitudinal Data Analysis Meta-Analysis Agent Based Modelling Mediation, Moderation & Interaction Structural Equation Models -- Introduction to Confirmatory Factor Analysis and Structural Equation Modeling Testing Measurement and Structural Invariance Mixture Models in Education Selecting Sem Computer Programs |
| ctrlnum | (OCoLC)871257739 (DE-599)BVBBV043039783 |
| dewey-full | 370.72 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 370 - Education |
| dewey-raw | 370.72 |
| dewey-search | 370.72 |
| dewey-sort | 3370.72 |
| dewey-tens | 370 - Education |
| discipline | Pädagogik |
| format | Electronic eBook |
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| id | DE-604.BV043039783 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:15:43Z |
| institution | BVB |
| isbn | 9462094020 9462094039 9462094047 9789462094024 9789462094031 9789462094048 |
| language | English |
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| physical | 1 online resource (viii, 404 pages) illustrations |
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| spelling | Handbook of quantitative methods for educational research edited by Timothy Teo Rotterdam Sense [2013] © 2013 1 online resource (viii, 404 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Print version record As part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researchers seek to address. This handbook serves to act as a reference for educational researchers and practitioners who desire to acquire knowledge and skills in quantitative methods for data analysis or to obtain deeper insights from published works. Written by experienced researchers and educators, each chapter in this handbook covers a methodological topic with attention paid to the theory, procedures, and the challenges on the use of that particular methodology. It is hoped that readers will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area Measurement Theory -- Psychometrics Classical Test Theory Item Response Theory Methods of Analysis -- Multiple Regression Cluster Analysis Multivariate Analysis of Variance Logistic Regression Exploratory Factor Analysis A Brief Introduction to Hierarchical Linear Modeling Longitudinal Data Analysis Meta-Analysis Agent Based Modelling Mediation, Moderation & Interaction Structural Equation Models -- Introduction to Confirmatory Factor Analysis and Structural Equation Modeling Testing Measurement and Structural Invariance Mixture Models in Education Selecting Sem Computer Programs Mark Wilson, Perman Gochyyev -- Ze Wang, Steven J. Osterlind -- Xitao Fan, Shaojing Sun -- Ken Kelley, Jocelyn H. Bolin -- Christine Distefano, Diana Mindrila -- Lisa L. Harlow, Sunny R. Duerr -- Brian F. French, Jason C. Immekus, Hsiao-Ju Yen -- W. Holmes Finch -- Jason W. Osborne, Shevaun D. Neupert -- D. Betsy Mccoach, John P. Madura, Karen E. Rambo-Hernandez, Ann A. O'Connell ... -- Spyros Konstantopoulos -- Mauricio Salgado, Nigel Gilbert -- James Hall, Pamela Sammons -- Matthew W. Gallagher, Timothy A. Brown -- Daniel A. Sass, Thomas A. Schmitt -- George A. Marcoulides, Ronald H. Heck -- Barbara M. Byrne EDUCATION / Essays bisacsh EDUCATION / Organizations & Institutions bisacsh EDUCATION / Reference bisacsh Education / Research / Methodology fast Quantitative research fast Erziehung Education Research Methodology Quantitative research Teo, Timothy edt Erscheint auch als Druck-Ausgabe Handbook of quantitative methods for educational research http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=706855 Aggregator Volltext |
| spellingShingle | Handbook of quantitative methods for educational research As part of their research activities, researchers in all areas of education develop measuring instruments, design and conduct experiments and surveys, and analyze data resulting from these activities. Educational research has a strong tradition of employing state-of-the-art statistical and psychometric (psychological measurement) techniques. Commonly referred to as quantitative methods, these techniques cover a range of statistical tests and tools. Quantitative research is essentially about collecting numerical data to explain a particular phenomenon of interest. Over the years, many methods and models have been developed to address the increasingly complex issues that educational researchers seek to address. This handbook serves to act as a reference for educational researchers and practitioners who desire to acquire knowledge and skills in quantitative methods for data analysis or to obtain deeper insights from published works. Written by experienced researchers and educators, each chapter in this handbook covers a methodological topic with attention paid to the theory, procedures, and the challenges on the use of that particular methodology. It is hoped that readers will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area Measurement Theory -- Psychometrics Classical Test Theory Item Response Theory Methods of Analysis -- Multiple Regression Cluster Analysis Multivariate Analysis of Variance Logistic Regression Exploratory Factor Analysis A Brief Introduction to Hierarchical Linear Modeling Longitudinal Data Analysis Meta-Analysis Agent Based Modelling Mediation, Moderation & Interaction Structural Equation Models -- Introduction to Confirmatory Factor Analysis and Structural Equation Modeling Testing Measurement and Structural Invariance Mixture Models in Education Selecting Sem Computer Programs EDUCATION / Essays bisacsh EDUCATION / Organizations & Institutions bisacsh EDUCATION / Reference bisacsh Education / Research / Methodology fast Quantitative research fast Erziehung Education Research Methodology Quantitative research |
| title | Handbook of quantitative methods for educational research |
| title_alt | Measurement Theory -- Psychometrics Classical Test Theory Item Response Theory Methods of Analysis -- Multiple Regression Cluster Analysis Multivariate Analysis of Variance Logistic Regression Exploratory Factor Analysis A Brief Introduction to Hierarchical Linear Modeling Longitudinal Data Analysis Meta-Analysis Agent Based Modelling Mediation, Moderation & Interaction Structural Equation Models -- Introduction to Confirmatory Factor Analysis and Structural Equation Modeling Testing Measurement and Structural Invariance Mixture Models in Education Selecting Sem Computer Programs |
| title_auth | Handbook of quantitative methods for educational research |
| title_exact_search | Handbook of quantitative methods for educational research |
| title_full | Handbook of quantitative methods for educational research edited by Timothy Teo |
| title_fullStr | Handbook of quantitative methods for educational research edited by Timothy Teo |
| title_full_unstemmed | Handbook of quantitative methods for educational research edited by Timothy Teo |
| title_short | Handbook of quantitative methods for educational research |
| title_sort | handbook of quantitative methods for educational research |
| topic | EDUCATION / Essays bisacsh EDUCATION / Organizations & Institutions bisacsh EDUCATION / Reference bisacsh Education / Research / Methodology fast Quantitative research fast Erziehung Education Research Methodology Quantitative research |
| topic_facet | EDUCATION / Essays EDUCATION / Organizations & Institutions EDUCATION / Reference Education / Research / Methodology Quantitative research Erziehung Education Research Methodology |
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| work_keys_str_mv | AT teotimothy handbookofquantitativemethodsforeducationalresearch |