Ralph O Mueller
Biographic Data
| ID | 6511180 |
|---|---|
| NAME | Ralph O Mueller |
| GIVEN NAMES | Ralph |
| FAMILY NAME | O Mueller |
| SIGNATURE | MUELLER R O |
| AFFILIATIONS | University of Hartford, West Hartford, CT, USA |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 2 |
| FIRST PUBLICATION YEAR | 1990 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropri…
Factor Analysis and Latent Structure Analysis
The Reliability Paradox in Assessing Structural Relations Within Covariance Structure Models
A two-step process is commonly used to evaluate data–model fit of latent variable path models, the first step addressing the measurement portion of the model and the second addressing the structural portion of the model. Unfortunately, even if the fit of the measurement portion of the model is perfect, the ability to assess the fit within the structural portion is affected by the quality of the factor–variable relations within the measurement mod…
The Reviewer's Guide to Quantitative Methods in the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropri…
Best Practices in Structural Equation Modeling
S tructural equation modeling (SEM) has evolved into a mature and popular methodology to investigate theory-derived structural/causal hypotheses. Indeed, with the continued development of SEM software packages such as AMOS (Arbuckle, 2007), EQS (Bentler, 2006), LISREL (Joreskog & Sorbom, 2006), and Mplus (Muthen & Muthen, 2006), SEM “has become the preeminent multivariate method of data analysis” (Hershberger, 2003, pp. 43–44). Yet, we believe th…
Basic Principles of Structural Equation Modeling
The effects of teaching experience and grade level taught on teacher stress
Validity and Reliability of the Hutchins Behavior Inventory
The authors provide evidence of the validity and reliability of the Hutchins Behavior Inventory, an instrument designed to assess a client's thinking, feeling, or acting dominance
Validity and Reliability of the Hutchins Behavior Inventory
The authors provide evidence of the validity and reliability of the Hutchins Behavior Inventory, an instrument designed to assess a client's thinking, feeling, or acting dominance
The effects of teaching experience and grade level taught on teacher stress
Basic Principles of Structural Equation Modeling
Best Practices in Structural Equation Modeling
S tructural equation modeling (SEM) has evolved into a mature and popular methodology to investigate theory-derived structural/causal hypotheses. Indeed, with the continued development of SEM software packages such as AMOS (Arbuckle, 2007), EQS (Bentler, 2006), LISREL (Joreskog & Sorbom, 2006), and Mplus (Muthen & Muthen, 2006), SEM “has become the preeminent multivariate method of data analysis” (Hershberger, 2003, pp. 43–44). Yet, we believe th…
The Reviewer's Guide to Quantitative Methods in the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropri…
The Reliability Paradox in Assessing Structural Relations Within Covariance Structure Models
A two-step process is commonly used to evaluate data–model fit of latent variable path models, the first step addressing the measurement portion of the model and the second addressing the structural portion of the model. Unfortunately, even if the fit of the measurement portion of the model is perfect, the ability to assess the fit within the structural portion is affected by the quality of the factor–variable relations within the measurement mod…
Factor Analysis and Latent Structure Analysis
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropri…
Computer Science (6 works) · Structural equation modeling (6 works) · Mathematics (5 works) · Statistics (5 works) · Advanced Statistical Modeling Techniques (4 works) · Psychology (4 works) · Confirmatory factor analysis (3 works) · Latent variable (3 works) · Psychometric Methodologies and Testing (3 works) · Social sciences (3 works)