Performance of the interpersonal needs questionnaire in adolescent clinical samples: Confirmatory factor analyses and evaluation of measurement invariance

2020 ◽  
Vol 50 (6) ◽  
pp. 1214-1222
Author(s):  
Ryan M. Hill ◽  
William Mellick ◽  
Lauren Alvis ◽  
Cody G. Dodd ◽  
Calvin Do ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Clinical Samples ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Interpersonal Needs ◽  
Interpersonal Needs Questionnaire

Measurement Invariance Analysis of the Parental Stress Index

2019 ◽  
Vol 35 (6) ◽  
pp. 771-778 ◽  
Author(s):  
Bernhard Piskernik ◽  
Barbara Supper ◽  
Lieselotte Ahnert
Keyword(s):  
Measurement Invariance ◽  
Parental Stress ◽  
Stress Index ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Mean Values ◽  
Confirmatory Factor ◽  
Structural Invariance ◽  
Parent Domain ◽  
Structural Levels

Abstract. While parenting research continues to compare similarities and differences in mothers’ and fathers’ behaviors based on mean values on the respective dimensions, measurement invariance as a prerequisite for these comparisons has seldom been assured. The present study thus subjected the well-known Parenting Stress Index (PSI), widely used in models of family functioning, to a rigorous measurement invariance analysis based on ( N = 214) Austrian couples with children younger than 3 years of age. We evaluated configural, metric, scalar, and uniqueness invariance on item and subscale levels, and tested for structural invariance of means and variances of the PSI parent and child domain by second-order confirmatory factor analyses. As a result, only measurement differences on the scalar levels affected the factor scores, though negligibly. On the structural levels, no differences were found on the PSI child domain across parents, but on the PSI parent domain, mothers reported more stress.

Confirmatory Factor Analyses of the Portuguese Version of the Maudsley Obsessional-compulsive Inventory

2017 ◽  
Vol 41 (S1) ◽  
pp. S80-S81
Author(s):  
J. Silva Ribeiro ◽  
A.T. Pereira ◽  
M.J. Martins ◽  
V. Nogueira ◽  
M.J. Soares ◽  
...  
Keyword(s):  
College Education ◽  
Self Report ◽  
Three Dimensions ◽  
Clinical Samples ◽  
Factor Analyses ◽  
Good Reliability ◽  
Confirmatory Factor Analyses ◽  
Symptom Dimensions ◽  
Portuguese Version ◽  
Confirmatory Factor

IntroductionThe Maudsley obsessional-compulsive inventory (MOCI) is a widely used self-report measure of obsessive-compulsive symptoms in clinical and non-clinical populations, both in research and clinical settings. Nogueira et al. confirmed in 2011 that the MOCI Portuguese version has good psychometric properties, having a factorial structure that is in accordance with those reported by other groups.AimsBased on the previous results of exploratory factor analysis with a Portuguese students sample, the present study aimed to perform a confirmatory factor analyses (using Mplus software) to verify if the three dimensions’ structure fitted the data.MethodsThe sample comprised 234 students on their first three years of college education (78.2% female), between 18–26 years old (M = 20.55; SD = 1.66). Participants filled the Portuguese version of the MOCI.ResultsOur results showed that the MOCI Portuguese version with original 3-factor structure has a good fit (χ2(227) = 386.987, P < .05; RMSEA = 0.053, 90%CI = 0.044–0.062; CFI = 0.928; TLI = 0.920; WRMR = 1.089). Good reliability was found for all subscales (Cronbach alpha < .80).ConclusionsThe MOCI Portuguese version reliably and validly assesses three OC symptom dimensions in young adults. Further research is needed to confirm this structure in Portuguese clinical samples.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals How do neuropsychologists define cognitive constructs? Further thoughts on limitations of factor analysis used with normal or mixed clinical populations

2004 ◽  
Vol 10 (7) ◽  
pp. 1020-1021 ◽  
Author(s):  
MARK W. JACOBSON ◽  
DEAN C. DELIS ◽  
JOANNE M. HAMILTON ◽  
MARK W. BONDI ◽  
DAVID P. SALMON
Keyword(s):  
Factor Analysis ◽  
Clinical Samples ◽  
Factor Analyses ◽  
Cognitive Constructs ◽  
Confirmatory Factor Analyses ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Conceptual Relationships ◽  
Homogenous Population ◽  
Clinical Populations

In a recent study, we empirically demonstrated limitations in traditional ways that psychologists have used factor analysis to define cognitive constructs (Delis et al., 2003). Our criticism of factor analysis was not directed at this statistical method per se, but rather at how it has often been employed by psychologists to test cognitive constructs. Specifically, we pointed out shortcomings in using this techniquewith normal or mixed clinical populations. We argued that the factor-analytic studies of memory tests with normal or mixed clinical populations often yielded solutions in which measures of immediate and delayed memory loaded on the same factor. This particular use of factor analysis can mask important distinctions between critical cognitive functions that have been demonstrated using other research methods, such as experimental manipulations or case studies. We then conducted a factor-analytic study that empirically demonstrated that, whereas immediate and delayed memory measures load on the same factor when using normal or mixed clinical samples, these measures load onseparatefactors when using a homogenous population of patients with Alzheimer's disease (AD). We drew the conclusion that factor analytic techniques can still be used asonemethod for exploring conceptual relationships, but only if these methods are used as part of a systematic, programmatic exploration involving separate confirmatory factor analyses using multiple homogenous patient populations. In the first published reply to our study, Larrabee (2003) pointed out other limitations, stating that application of factor-analytic techniques to a single test that yields multiple measures may result in global, simplistic solutions due to method variance, which is the tendency of different variables from the same test to correlate significantly.

Factorial Invariance of the German Version of the Marital Offence-Specific Forgiveness Scale (MOFS)

2019 ◽  
Vol 35 (4) ◽  
pp. 490-497
Author(s):  
Julia Haversath ◽  
Kathrin M. Gärttner ◽  
Sören Kliem ◽  
Christoph Kröger
Keyword(s):  
Measurement Invariance ◽  
Psychological Health ◽  
Assessment Tool ◽  
Factorial Invariance ◽  
German Version ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Men And Women ◽  
Confirmatory Factor ◽  
Physical And Psychological Health

Abstract. Spousal forgiveness is positively linked to aspects of relationship satisfaction, as well as to the physical and psychological health of both partners. Oftentimes, the respective values for men and women are compared under the untested assumption of measurement invariance of the assessment tool. In order to investigate the factorial invariance (configural, metric, scalar, and residual) of the German version of the Marital Offence-Specific Forgiveness Scale (MOFS; Paleari et al., 2009 ), we conducted several multigroup confirmatory factor analyses. In the context of comparing increasingly stringent models, tests of measurement invariance indicated at least partial measurement invariance. These findings suggest that the MOFS operates in a similar fashion among men and women, thus supporting the assessment of spousal forgiveness with the German MOFS.

Social religiosity: concept and measurement across divergent cultures

2015 ◽  
Vol 27 (5) ◽  
pp. 717-734 ◽  
Author(s):  
Anil Mathur ◽  
Benny Barak ◽  
Yong Zhang ◽  
Keun S. Lee ◽  
Boonghee Yoo ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Design Methodology ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Confirmatory Factor ◽  
The Usa ◽  
Different Cultures

Purpose – The purpose of this paper is to develop a scale to measure social religiosity (SR) and assess its measurement invariance across different cultures. Design/methodology/approach – The research relied on samples from China (n=486), India (n=377), Japan (n=362), Korea (n=386), and the USA (n=580). The invariance process involved carrying out a series of confirmatory factor analyses with progressively more restrictive constraints. Findings – Results show the SR scale to be reliable and valid across culturally and religiously diverse countries. Implications of the findings are also discussed. Originality/value – Based on Katz (1988) this is a new scale to measure SR and its measurement invariance is assessed across culturally divergent countries.

Longitudinal Measurement Invariance of the Authoritative School Climate Survey

2021 ◽  
pp. 073428292110113
Author(s):  
Tim R. Konold ◽  
Kelly D. Edwards ◽  
Dewey G. Cornell
Keyword(s):  
High Schools ◽  
School Climate ◽  
Measurement Invariance ◽  
Longitudinal Change ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Longitudinal Measurement Invariance ◽  
Longitudinal Measurement ◽  
Willingness To Seek Help ◽  
Confirmatory Factor

This study evaluated the longitudinal psychometric properties of the Authoritative School Climate Survey (ASCS) using a statewide sample of middle and high schools across 8 years. Multilevel confirmatory factor analyses were conducted to test the longitudinal measurement invariance of three scales on the ASCS: disciplinary structure, teacher respect for students, and students’ willingness to seek help. These scales demonstrated strong factorial invariance across all time points for both middle and high schools. Results support the use of these scales in evaluating longitudinal change in school climate.

Construct Validity of the German Wechsler Intelligence Scale for Children–Fifth Edition: Exploratory and Confirmatory Factor Analyses of the 15 Primary and Secondary Subtests

Assessment ◽  
2020 ◽  
pp. 107319112093633
Author(s):  
Gary L. Canivez ◽  
Silvia Grieder ◽  
Anette Buenger
Keyword(s):  
Factor Model ◽  
The United States ◽  
Clinical Samples ◽  
Factor Analyses ◽  
Intelligence Scale ◽  
Confirmatory Factor Analyses ◽  
Technical Manual ◽  
Confirmatory Factor ◽  
Bifactor Models ◽  
Exploratory Factor Analyses

The latent factor structure of the German Wechsler Intelligence Scale for Children–Fifth edition (German WISC-V) was examined using complementary hierarchical exploratory factor analyses (EFAs) with Schmid and Leiman transformation and confirmatory factor analyses (CFAs) for all reported models from the German WISC-V Technical Manual and rival bifactor models using the standardization sample ( N = 1,087) correlation matrix of the 15 primary and secondary subtests. EFA results did not support a fifth factor (Fluid Reasoning). A four-factor model with the dominant general intelligence ( g) factor resembling the WISC-IV was supported by EFA. CFA results indicated the best representation was a bifactor model with four group factors, complementing EFA results. Present EFA and CFA results replicated other independent assessments of standardization and clinical samples of the United States and international versions of the WISC-V and indicated primary, if not exclusive, interpretation of the Full Scale IQ as an estimate of g.

Validity and Reliability of the Teamwork Scale for Youth

2015 ◽  
Vol 27 (6) ◽  
pp. 716-725 ◽  
Author(s):  
Leeann M. Lower ◽  
Tarkington J. Newman ◽  
Dawn Anderson-Butcher
Keyword(s):  
Measurement Invariance ◽  
Youth Development ◽  
Factor Analyses ◽  
Validity And Reliability ◽  
Confirmatory Factor Analyses ◽  
Social Work Research ◽  
Development Interventions ◽  
Confirmatory Factor ◽  
Time Correlations ◽  
User Friendly

The teamwork life skill is a critical outcome desired in many positive youth development interventions; however, limited versatile, user-friendly measures of this construct exist. Purpose: This study examines the psychometric properties of the Teamwork Scale for Youth, an assessment designed to measure youths’ perceptions of their teamwork competency. Methods: The Teamwork Scale for Youth was administered to a sample of 460 youths. Confirmatory factor analyses examined the factor structure and measurement invariance of the scale across time. Correlations between teamwork and perceived social competence and commitment scores were also examined. Results: The revised 8-item Teamwork Scale for Youth was found to demonstrate acceptable factorial validity and measurement invariance across time. Additionally, strong reliability and concurrent and predictive validity of the scale were established. Discussion: The Teamwork Scale for Youth is a brief, easily administered, psychometrically sound tool that can be used with confidence in social work research and practice.

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