scholarly journals Relationship between Internal Consistency and Goodness of Fit Maximum Likelihood Factor Analysis with Varimax Rotation

2009 ◽  
Vol 8 (2) ◽  
pp. 463-468 ◽  
Author(s):  
Gibbs Y. Kanyongo ◽  
James B. Schreiber
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Internal Consistency ◽  
Goodness Of Fit ◽  
Varimax Rotation ◽  
Maximum Likelihood Factor Analysis

Maximum Likelihood Factor Analysis of Attitude Data

1977 ◽  
Vol 14 (1) ◽  
pp. 42-51 ◽  
Author(s):  
Roger M. Heeler ◽  
Thomas W. Whipple ◽  
Thomas P. Hustad
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Goodness Of Fit ◽  
Factor Solution ◽  
Maximum Likelihood Factor Analysis

Maximum likelihood factor analysis is a useful technique for analyzing attitude data. The solution can be tested statistically for goodness of fit. Companion procedures for restricting the factor solution permit the testing of hypothesized factor structures. Thus the technique can be used to construct solutions that are more clearly interpretable while still providing adequate fit to the data. A case example is given to illustrate the use of the technique.

scholarly journals Cross-cultural adaptation and psychometric validation of the Persian version of the Cardiac Rehabilitation Barriers Scale (CRBS-P)

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e034552
Author(s):  
Mahdieh Ghanbari-Firoozabadi ◽  
Masoud Mirzaei ◽  
Mohammadreza Vafaii Nasab ◽  
Sherry L Grace ◽  
Hassan Okati-Aliabad ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Cardiac Rehabilitation ◽  
Internal Consistency ◽  
Goodness Of Fit ◽  
Cross Cultural ◽  
Psychometric Validation ◽  
Structural Validity ◽  
Retest Reliability ◽  
Persian Version ◽  
Test Retest Reliability

ObjectivesThis study aimed to translate, cross-culturally adapt and psychometrically validate a Persian version of the Cardiac Rehabilitation Barriers Scale (CRBS-P) and to identify the main barriers in an Iranian setting.SettingAfshar cardiac rehabilitation (CR) centre, affiliated with the Yazd University of Medical Sciences, in the centre of Iran.DesignThis was a multimethod study, culminating in a cross-sectional survey.ParticipantsInpatient CR graduates who did not attend their initial outpatient CR appointment.MethodThe 21-item CRBS was translated and cross-culturally adapted in accordance with best practices; an expert panel considered the items and previous non-attending patients were interviewed via phone to refine the scale. Next, structural validity was assessed; participants were invited to complete the CRBS on the phone between March 2017 and February 2018. Using exploratory factor analysis (EFA) with principal component analysis extraction and oblique rotation. Second, confirmatory factor analysis (CFA) was used to verify the results; several goodness-of-fit indices were considered. The internal consistency and 3-week test–retest reliability of the scale (5% subsample) were evaluated using Cronbach’s α and intraclass correlation (ICC), respectively.ResultsFace, content and cross-cultural validity were established by the experts and patients (n=50). One thousand and one hundred (40.7%) of the 2700 patients completed the CRBS-P. Structural validity was established by EFA (Bartlett’s test p<0.001; =0.759) and confirmed by the CFA; a four-factor solution with 18 items accounting for 61.256% of variance had the best fit (χ2/df=3.206, root mean square error of approximation=0.061 and Comparative Fit Index=0.959). The internal consistency and test–retest reliability (n=42) of the scale were acceptable (ICC=0.743 95% CI (0.502 to 0.868); overall α=0.797). The top barriers were not knowing about CR, cost and lack of encouragement from physicians.ConclusionThe four-factor, 18-item CRBS-P had good psychometric properties, and hence can be reliably and validly used to measure CR barriers in Iran and other Persian-speaking populations.

A reliability coefficient for maximum likelihood factor analysis

Psychometrika ◽  
1973 ◽  
Vol 38 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ledyard R Tucker ◽  
Charles Lewis
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Reliability Coefficient ◽  
Maximum Likelihood Factor Analysis

Validity of Higher-Order Ability Constructs in Structure-of-Intellect Tests All Involving Semantic Content and Operations of Cognition or Evaluation: A Confirmatory Maximum Likelihood Factor Analysis

1985 ◽  
Vol 45 (2) ◽  
pp. 353-359 ◽  
Author(s):  
David E. Mace ◽  
William B. Michael ◽  
Dennis Hocevar
Keyword(s):  
Factor Analysis ◽  
Maximum Likelihood ◽  
Semantic Content ◽  
Higher Order ◽  
Second Order ◽  
Third Order ◽  
Maximum Likelihood Factor Analysis ◽  
Practical Standpoint ◽  
Order Factor ◽  
Structure Of Intellect

Through use of confirmatory maximum likelihood factor analysis in conjunction with the LISREL V computer program devised by Jöreskog and Sörbom, an evaluation was made of the validity of higher-order ability constructs in structure-of-intellect tests all containing semantic content and operations of cognition or evaluation. The hypothesized first-, second-, and third-order factors were all reproducible with every one of the estimated factor loadings being significant beyond the .01 level. Although the first- and second-order factors were shown to be reproducible and statistically separable, the high intercorrelations among the six first-order product factors and the two second-order operations factors would suggest from a practical standpoint that the single third-order factor of semantic content would constitute a plausible alternative for accounting for much of the covariance among the test variables.

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