The latent growth curve model can be explained as a combination of repeated ANOVAs
with confirmatory factor analysis.
The CEBQ factor structure was tested
with confirmatory factor analysis (CFA).
The three subscales maintained
with a confirmatory factor analysis using Structural Equation Modeling: CFI =.95, RMSEA =.05, and χ2 (51) = 93.73, p <.01.
[jounal] Oei, T. P. S / 2005 / Drinking refusal self - efficacy questionnaire - revised (DRSEQ - R): A new factor structure
with confirmatory factor analysis / Drug and Alcohol Dependence 78: 297 ~ 307
Thus, we decided to examine the MLQ factor structure further
with Confirmatory Factor Analysis.
Not exact matches
Measuring disability experienced by adults living
with HIV: assessing construct validity of the HIV Disability Questionnaire using
confirmatory factor analysis
Then, to test whether the a priori
factor structure would fit the data of mothers and fathers, a two - group
confirmatory factor analyses was conducted
with all available data (missing data were not imputed; AMOS 6.0; Arbuckle, 2005).
Results highlighted a) through exploratory and
confirmatory factor analyses, a meaningful six -
factor model (emotion expression, task utility self - persuasion, help - seeking, negative self - talk, brief attentional relaxation, and dysfunctional avoidance); b) satisfactory internal reliabilities; c) test - retest reliability scores indicative of a satisfactory stability of the measures over time; d) preliminary evidence of convergent and discriminant validity
with CERS - M being very weakly linked to verbal skill and moderately to emotion regulation strategies measured through the Flemish version of the COPE - questionnaire; e) preliminary evidence of criterion validity,
with CERS - M scores predicting math anxiety, and to a lesser extent, students» performance; f) preliminary evidence of incremental validity,
with the CERS - M predicting math anxiety and performance over and above emotion regulation measured by the COPE - questionnaire.
Results:
Confirmatory factor analysis supports,
with acceptable modifications, the 14 modes but fails to support their theorized grouping into the Child, Parent and Coping categories.
Confirmatory Factor Analysis: A type of factor analysis where the researcher begins with a preconceived notion or hypothesis of which factors influence which variables and then measures how well the results and data fit the hypot
Factor Analysis: A type of factor analysis where the researcher begins with a preconceived notion or hypothesis of which factors influence which variables and then measures how well the results and data fit the hyp
Analysis: A type of
factor analysis where the researcher begins with a preconceived notion or hypothesis of which factors influence which variables and then measures how well the results and data fit the hypot
factor analysis where the researcher begins with a preconceived notion or hypothesis of which factors influence which variables and then measures how well the results and data fit the hyp
analysis where the researcher begins
with a preconceived notion or hypothesis of which
factors influence which variables and then measures how well the results and data fit the hypothesis.
In this study,
confirmatory factor analysis of archival data evaluated the adequacy of the CBCL
factor model in a well characterized sample of preschoolers
with ASD (N = 128).
ABSTRACT: The purpose of this study was to evaluate the structure, invariance, reliability, convergent and discriminant validity of the MLQ
with exploratory and
confirmatory factor analysis in 1561 Greek adults.
Tully PJ, Winefield HR, Baker RA, Turnbull DA, de Jonge P (2011)
Confirmatory factor analysis of the Beck Depression Inventory - II and the association
with cardiac morbidity and mortality after coronary revascularization J Health Psychol 16: 584 595
Confirmatory factor analysis of the Child Behavior Checklist 1.5 - 5 in a sample of children
with Autism Spectrum Disorders
Parallel
analysis was conducted
with successive iterations of exploratory and
confirmatory factor analyses.
The final version of the instrument was then cross-validated
with the Bonn sample, again using a
confirmatory factor analysis through a structural equation model.
RESULTS: Exploratory
factor analyses support a three -
factor structure explaining 53.44 % of the variance and
confirmatory factor analyses validate that the measuring tool reflects three distinct
factors, which are 1) compliance
with safety rules and procedures, 2) participation and initiatives related to prevention, and 3) concern for social and physical environment.
Consistent
with Gestsdóttir and Lerner (2007), results of
confirmatory factor analyses of SOC scores suggested the use of a global, nine - item index.
A
confirmatory factor analysis (CFA)
with the three dimensions as latent
factors and items as observed variables was conducted separately for the version referring to father and the one referring to mother.
The following aspects of the BIQ - SF were subjected to a psychometric evaluation: (a) the hypothesized six - correlated
factors structure of the scale was tested by means of a
confirmatory factor analysis, (b) various types of reliability were investigated including the internal consistency, test — retest reliability, and cross-informant agreement, and (c) several aspects of the validity were explored such as the relations
with anxiety and internalizing (i.e., convergent validity) and externalizing (i.e., divergent validity) symptoms as well as the relations between BIQ - SF scores of parents and teachers and laboratory observations of an inhibited temperament (i.e., predictive validity).
The
factor structure of the WOC was analyzed both
with explanatory and
confirmatory factor analyses.
Results and Conclusion: Detailed exploratory and
confirmatory factor analyses are presented from which the final items of the new questionnaires were chosen, for which he presents internal consistency estimates, convergent validity
with similar measures, discriminant validity from social desirability, and incremental validity over similar constructs.
With the objective of validating the factorial structure of the IWP Multi-Affect Indicator, several models were tested using
confirmatory factor analysis.
However, when the same items are used
with teachers,
confirmatory factor analysis showed that urban and suburban samples shared the same
factor structure, and that the
factor structure showed only small differences by gender, age, school grade, or severity of ADHD symptom counts (Wolraich et al., 2002).
Note: The correlations were computed from a
confirmatory factor analysis performed
with full - information maximum likelihood (FIML) estimation in AMOS 5.0.
Diagram of multilevel
confirmatory factor analysis model
with standardized
factor loadings and latent covariances.
Predicting the performance of measures in a
confirmatory factor analysis with a pretest assessment of their substantive validities
Confirmatory factor analyses indicated that while the hypothesized three -
factor model fit significantly better than an alternative one -
factor model, the fit indices associated
with the three -
factor model were below satisfactory cutoffs, thus tempering conclusions that the best fitting structure was found and highlighting the need for additional research.
Results highlighted a) through exploratory and
confirmatory factor analyses, a meaningful six -
factor model (emotion expression, task utility self - persuasion, help - seeking, negative self - talk, brief attentional relaxation, and dysfunctional avoidance); b) satisfactory internal reliabilities; c) test - retest reliability scores indicative of a satisfactory stability of the measures over time; d) preliminary evidence of convergent and discriminant validity
with CERS - M being very weakly linked to verbal skill and moderately to emotion regulation strategies measured through the Flemish version of the COPE - questionnaire; e) preliminary evidence of criterion validity,
with CERS - M scores predicting math anxiety, and to a lesser extent, students» performance; f) preliminary evidence of incremental validity,
with the CERS - M predicting math anxiety and performance over and above emotion regulation measured by the COPE - questionnaire.
Secondly,
confirmatory factor analysis should be conducted
with a new sample to test the
factor structure of WFBS and provide further evidence for the validity of its constructs.
The SDQ's internal
factor structure was assessed by using
confirmatory factor analysis,
with a series of competing models and extensions used to determine construct, convergent, and discriminant validity and measurement invariance over time.
An empirical evaluation of alternative methods of estimation for
confirmatory factor analysis with ordinal data
Confirmatory factor analyses confirmed the hypothesized two -
factor solution of the DAPCS,
with a 16 items» version better fitting the data, for paternal as well as for maternal ratings.
A two - dimensional model of coping was found using
confirmatory factor analysis with the
factors being approach and avoidant coping.
Confirmatory factor analyses (CFA) were conducted
with robust weighted least squares estimator (WLSMV) because all the items were categorical [17].
At a preliminary stage, before testing hypotheses
with Hierarchical Regression
Analyses,
Confirmatory Factor Analyses (CFAs) as implemented by AMOS [50].
We used exploratory
factor analysis and
confirmatory factor analysis with multi-group comparisons to establish the structure of the HADS and test for factorial invariance between samples.
In a third study involving 328 high school adolescents, 130
with records of suspension for antisocial behavior, competing measurement models were evaluated using
confirmatory factor analysis.