Rex B Kline
Biographic Data
| ID | 4486090 |
|---|---|
| NAME | Rex B Kline |
| GIVEN NAMES | Rex B |
| FAMILY NAME | Kline |
| SIGNATURE | KLINE R B |
| AFFILIATIONS | Concordia University |
| ORCID | 0000-0001-6581-592X |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 81 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
How to evaluate local fit (residuals) in large structural equation models
Consistent with reporting standards for structural equation modelling (SEM), model fit should be evaluated at two different levels, global and local. Global fit concerns the overall or average correspondence between the entire data matrix and the model, given the parameter estimates for the model. Local fit is evaluated at the level of the residuals, or differences between observed and predicted associations for every pair of measured variables i…
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response…
Principles and Practice of Structural Equation Modeling, Fifth Edition
Becoming a Behavioral Science Researcher, Second Edition
Response to Leslie Hayduk’s Review of Principles and Practice of Structural Equation Modeling, 4th Edition
this issue, Review Essay
Journal article reporting standards for quantitative research in psychology
Following a review of extant reporting standards for scientific publication, and reviewing 10 years of experience since publication of the first set of reporting standards by the American Psychological Association (APA; APA Publications and Communications Board Working Group on Journal Article Reporting Standards, 2008), the APA Working Group on Quantitative Research Reporting Standards recommended some modifications to the original standards. Ex…
The Mediation Myth
The mediation myth is the false belief that mediation is actually estimated in the typical mediation analysis. This myth is based on a trifecta of shortcomings: (1) the typical mediation study relies on an inadequate design; (2) the researcher uses a flawed analysis strategy; and (3) there is scant attention to assumptions that are required when estimating mediation. These problems stem from overgeneralizing the classical product method for estim…
Convergence of Structural Equation Modeling and Multilevel Modeling
Becoming a behavioral science researcher
Students and beginning researchers often discover that their introductory statistics and methods courses have not fully equipped them to plan and execute their own behavioral research studies. This book bridges the gap between coursework and conducting independent research. The author helps the reader build needed skills to formulate a precise, meaningful research question; understand the pros and cons of widely used research designs and analysis…
Beyond significance testing
Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and…
Beyond Significance Testing
The book is intended for applied researchers and students who may not have quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate how to apply these principles and how…
Software Review
Journal article reporting standards for quantitative research in psychology
Following a review of extant reporting standards for scientific publication, and reviewing 10 years of experience since publication of the first set of reporting standards by the American Psychological Association (APA; APA Publications and Communications Board Working Group on Journal Article Reporting Standards, 2008), the APA Working Group on Quantitative Research Reporting Standards recommended some modifications to the original standards. Ex…
Software Review
Beyond significance testing
Practices of data analysis in psychology and related disciplines are changing. This is evident in the longstanding controversy about statistical tests in the behavioral sciences and the increasing number of journals requiring effect size information. This book offers integrative and clear presentations about the limitations of statistical tests and reviews alternative methods of data analysis, such as effect size estimation (at both the group and…
Beyond Significance Testing
The book is intended for applied researchers and students who may not have quantitative backgrounds. Readers will learn how to measure effect size on continuous or dichotomous outcomes in comparative studies with independent or dependent samples. They will also learn how to calculate and correctly interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas illustrate how to apply these principles and how…
Becoming a behavioral science researcher
Students and beginning researchers often discover that their introductory statistics and methods courses have not fully equipped them to plan and execute their own behavioral research studies. This book bridges the gap between coursework and conducting independent research. The author helps the reader build needed skills to formulate a precise, meaningful research question; understand the pros and cons of widely used research designs and analysis…
Convergence of Structural Equation Modeling and Multilevel Modeling
The Mediation Myth
The mediation myth is the false belief that mediation is actually estimated in the typical mediation analysis. This myth is based on a trifecta of shortcomings: (1) the typical mediation study relies on an inadequate design; (2) the researcher uses a flawed analysis strategy; and (3) there is scant attention to assumptions that are required when estimating mediation. These problems stem from overgeneralizing the classical product method for estim…
Response to Leslie Hayduk’s Review of Principles and Practice of Structural Equation Modeling, 4th Edition
this issue, Review Essay
Journal article reporting standards for quantitative research in psychology
Following a review of extant reporting standards for scientific publication, and reviewing 10 years of experience since publication of the first set of reporting standards by the American Psychological Association (APA; APA Publications and Communications Board Working Group on Journal Article Reporting Standards, 2008), the APA Working Group on Quantitative Research Reporting Standards recommended some modifications to the original standards. Ex…
Becoming a Behavioral Science Researcher, Second Edition
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response…
Principles and Practice of Structural Equation Modeling, Fifth Edition
How to evaluate local fit (residuals) in large structural equation models
Consistent with reporting standards for structural equation modelling (SEM), model fit should be evaluated at two different levels, global and local. Global fit concerns the overall or average correspondence between the entire data matrix and the model, given the parameter estimates for the model. Local fit is evaluated at the level of the residuals, or differences between observed and predicted associations for every pair of measured variables i…
Statistics (6 works) · Computer Science (5 works) · Mathematics (5 works) · Psychology (5 works) · Structural equation modeling (5 works) · Psychometric Methodologies and Testing (4 works) · Advanced Statistical Modeling Techniques (3 works) · Econometrics (3 works) · Psychology (3 works) · Applied Mathematics (2 works)