Joseph Wisenbaker
Biographic Data
| ID | 9252521 |
|---|---|
| NAME | Joseph Wisenbaker |
| GIVEN NAMES | Joseph |
| FAMILY NAME | Wisenbaker |
| SIGNATURE | WISENBAKER J |
| AFFILIATIONS | University of Georgia |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2006 |
| H-INDEX | 0 |
A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA
A simulation study was conducted to examine the effect of item parceling on confirmatory factor analysis parameter estimates and their standard errors at different levels of sample size, number of indicators per factor, size of factor structure/pattern coefficients, magnitude of interfactor correlations, and variations in item-level data distribution. Results suggest that the use of item parceling had negligible effects on parameter bias and on t…
A Monte Carlo Study Investigating the Impact of Item Parceling on Measures of Fit in Confirmatory Factor Analysis
A simulation study was conducted to examine the effect of item parceling on goodness-of-fit indices at different levels of sample size, number of indicators per factor, factor structure/pattern coefficients, interfactor correlations, and item-level data distribution. Results revealed that the use of item parcels yielded more nonconverged solutions and Heywood cases than individual items. The likelihood of nonconverged solutions and Heywood cases …
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
Modeling the Observation-to-Variable Ratio Necessary for Determining the Number of Factors by the Standard Error Scree Procedure Using Logistic Regression
Logistic regression was used for modeling the observation-to-variable ( n/ v) ratio required for the standard error scree (SEscree) procedure to correctly identify the number of factors in simulated data. The correlation matrices were generated to possess known characteristics: number of factors ( f), number of variables ( v), sample size ( n), magnitude of pattern coefficients ( p), and degree of interfactor correlations ( r). The results indica…
No prominent works on this page.
Modeling the Observation-to-Variable Ratio Necessary for Determining the Number of Factors by the Standard Error Scree Procedure Using Logistic Regression
Logistic regression was used for modeling the observation-to-variable ( n/ v) ratio required for the standard error scree (SEscree) procedure to correctly identify the number of factors in simulated data. The correlation matrices were generated to possess known characteristics: number of factors ( f), number of variables ( v), sample size ( n), magnitude of pattern coefficients ( p), and degree of interfactor correlations ( r). The results indica…
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
The Performance of Regression-Based Variations of the Visual Scree for Determining the Number of Common Factors
The accuracy and consistency of four regression-based variations of the visual scree (Cattell-Nelson-Gorsuch, multiple regression, t-value index, and standard error scree [SEscree]) were examined using artificial data with known characteristics. The results indicated that in general, the SEscree was more accurate than the other three procedures. The observation-to-variable ratio was most influential on the accuracy and the consistency of the numb…
A Monte Carlo Study Investigating the Impact of Item Parceling on Measures of Fit in Confirmatory Factor Analysis
A simulation study was conducted to examine the effect of item parceling on goodness-of-fit indices at different levels of sample size, number of indicators per factor, factor structure/pattern coefficients, interfactor correlations, and item-level data distribution. Results revealed that the use of item parcels yielded more nonconverged solutions and Heywood cases than individual items. The likelihood of nonconverged solutions and Heywood cases …
A Monte Carlo Study Investigating the Impact of Item Parceling Strategies on Parameter Estimates and Their Standard Errors in CFA
A simulation study was conducted to examine the effect of item parceling on confirmatory factor analysis parameter estimates and their standard errors at different levels of sample size, number of indicators per factor, size of factor structure/pattern coefficients, magnitude of interfactor correlations, and variations in item-level data distribution. Results suggest that the use of item parceling had negligible effects on parameter bias and on t…
Mathematics (5 works) · Statistics (5 works) · Statistical Methods and Applications (4 works) · Advanced Statistical Methods and Models (3 works) · Econometrics (3 works) · Psychology (3 works) · Regression (3 works) · Regression analysis (3 works) · Sample size determination (3 works) · Advanced Statistical Modeling Techniques (2 works)