Error estimates for factor loadings and scores obtained by target transformation factor analysis

1982 ◽  
Vol 135 (2) ◽  
pp. 379-380 ◽  
Author(s):  
Bradley A. Roscoe ◽  
Philip K. Hopke
Keyword(s):  
Factor Analysis ◽  
Error Estimates ◽  
Factor Loadings ◽  
Transformation Factor

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

Factor Structure of Shortened Children's Embedded Figures Test for Different Age Groups

1986 ◽  
Vol 63 (2) ◽  
pp. 479-486 ◽  
Author(s):  
Robert C. Hardy ◽  
John Eliot ◽  
Kenneth Burlingame
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Total Population ◽  
Age Groups ◽  
Total Sample ◽  
Factor Loadings ◽  
Embedded Figures Test ◽  
Embedded Figures

240 children, 24 of each sex in Grades K to 4, were administered the entire Children's Embedded Figures Test, regardless of the failure rule. Factor loadings for items from a shortened version of the test were examined for a randomly divided sample, a sample divided by sex, a sample divided in two grade groupings, and an undivided total population. Stable factors were found for the total sample and when the sample was divided by sex. Analysis indicated that the factor analysis of the shortened form was consistent with previous analyses using the total scale.

Revision of the Brief Index of Self-Actualization

1998 ◽  
Vol 87 (1) ◽  
pp. 115-125 ◽  
Author(s):  
John R. Sumerlin ◽  
Charles M. Bundrick
Keyword(s):  
Factor Analysis ◽  
Principal Factor ◽  
Oblique Rotation ◽  
Principal Factor Analysis ◽  
Factor Loadings ◽  
Self Actualization

Items from the 40-item Brief Index of Self-actualization were submitted to principal factor analysis with promax and oblique rotation ( N = 620). With eigenvalues greater than 1 and factor loadings of .40 or higher, 32 items were retained as four factors, without overlap. A revised Brief Index of Self-actualization is presented as an improved measure of constructs underlying Abraham Maslow's description of a self-actualizing person.

scholarly journals Psychometric properties of the hospital birth satisfaction scale: Birth in Brazil survey

2019 ◽  
Vol 35 (8) ◽  
Author(s):  
Dayana Dourado de Oliveira Costa ◽  
Valdinar Sousa Ribeiro ◽  
Marizélia Rodrigues Costa Ribeiro ◽  
Ana Paula Esteves-Pereira ◽  
Lucas Guimarães Cardoso de Sá ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Private Insurance ◽  
Maternity Hospital ◽  
Satisfaction Scale ◽  
One Dimensional ◽  
Factor Loadings ◽  
Hospital Birth ◽  
Birth Satisfaction ◽  
The One

The objective of this study was to analyze the psychometric properties of the hospital birth satisfaction scale with data from the first follow-up interview of the Birth in Brazil survey. The 11 questions of the scale were asked by telephone up to six months after discharge in a stratified random sample of 16,109 women residing in all five regions of the country. The sample was randomly divided into two halves. Exploratory factor analysis (EFA) was applied to the first half in order to identify the scale’s factorial structure. The scree plot suggested the scale to be one-dimensional. The EFA demonstrated a good fit of the one-dimensional model. Factor loadings were greater than 0.5 for all items, except for the mean time transpired between leaving the home and arriving at the maternity hospital, which was excluded from the next analysis. The confirmatory factor analysis applied to the sample’s second half with the remaining ten items had a good fit and the factor loadings were > 0.50 with p-values < 0.001. The associations between birth satisfaction and the external variables, the mother’s education level (standardized coefficient = 0.073; p = 0.035), private insurance (SC = 0.183; p < 0.001) and having a companion at some point during the hospitalization for labor (SC = 0.193; p = 0.001) were all as expected. There was evidence of configural and metric invariance according to type of hospital (private or public) and type of delivery (cesarean or vaginal). These results showed that the hospital birth satisfaction scale in Brazil is a one-dimensional instrument composed of ten items.

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