scholarly journals Forgiveness in the Context of Divorce: A Cross-Cultural Measurement Invariance Study via Multiple-Group Factor Analysis (CFA) across Chile and Spain

2021 ◽  
Vol 18 (16) ◽  
pp. 8236
Author(s):  
Diana Rivera-Ottenberger ◽  
Mónica Guzmán-González ◽  
Carlos Calderón ◽  
Sagrario Yárnoz-Yaben ◽  
Priscila Comino
Keyword(s):  
Measurement Invariance ◽  
Initial Step ◽  
Cross Cultural ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Cross Cultural Differences ◽  
Multiple Group ◽  
Cultural Field ◽  
Confirmatory Factor ◽  
The Cross

(1) Background: Current research on the factors involved in the adaptation process to divorce or separation has explored cross-cultural differences. An initial step in the cross-cultural field is to investigate whether the measurements applied are comparable in different cultural contexts. The aim of the present study is to test the measurement invariance of the Questionnaire of Forgiveness in Divorce-Separation (CPD-S); (2) Methods: The CPD-S was completed by 556 (M = 44.52, SD = 10.18) and 240 (M = 41.44, SD = 7.87) Chilean and Spanish divorced individuals, respectively. Confirmatory factor analyses in single samples and measurement invariance testing in a multi-group framework were conducted to test the cross-group equivalence; (3) Results: The single-factor structure of the CPD-S was supported in both countries. Measurement invariance analysis demonstrated that the CPD-S had partial scalar measurement invariance; (4) Conclusions: The evidence supports the conclusion that CPD-S operates similarly across both countries. Findings are discussed from a cross-cultural and methodological perspective.

scholarly journals Measurement Invariance Testing Using Confirmatory Factor Analysis and Alignment Optimization: A Tutorial for Transparent Analysis Planning and Reporting

2021 ◽  
Author(s):  
Jessica Kay Flake ◽  
Raymond Luong
Keyword(s):  
Measurement Invariance ◽  
Traditional Approach ◽  
Research Question ◽  
Measurement Properties ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Measurement Models ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Traditional Approaches

Measurement invariance—the notion that the measurement properties of a scale are equalacross groups, contexts, or time—is an important assumption underlying much of psychology research. The traditional approach for evaluating measurement invariance is to fit a series of nested measurement models using multiple-group confirmatory factor analyses. However, traditional approaches are strict, vary across the field in implementation, and present multiplicity challenges, even in the simplest case of two groups under study. The alignment method was recently proposed as an alternative approach. This method is more automated, requires fewer decisions from researchers, and accommodates two or more groups. However, it has different assumptions, estimation techniques, and limitations from traditional approaches. To address the lack of accessible resources that explain the methodological differences and complexities between the two approaches, we introduce and illustrate both, comparing them side by side. First, we overview the concepts, assumptions, advantages, and limitations of each approach. Based on this overview, we propose a list of four key considerations to help researchers decide which approach to choose and how to document their analytical decisions in a preregistration or analysis plan. We then demonstrate our key considerations on an illustrative research question using an open dataset and provide an example of a completed preregistration. Our illustrative example is accompanied by an annotated analysis report that shows readers, step-by-step, how to conduct measurement invariance tests using R and Mplus. Finally, we provide recommendations for how to decide between and use each approach and next steps for methodological research.

Construction and Factorial Structure of a Short Version of the Trendsetting Questionnaire (TDS-K)

2008 ◽  
Vol 24 (2) ◽  
pp. 88-94 ◽  
Author(s):  
Bernad Batinic ◽  
Hans-Georg Wolff ◽  
Christiane M. Haupt
Keyword(s):  
Measurement Invariance ◽  
Online Survey ◽  
Short Version ◽  
Confirmatory Factor Analyses ◽  
Multiple Group ◽  
Wide Range ◽  
Confirmatory Factor ◽  
Partial Invariance ◽  
Administration Methods ◽  
Broad Interest

This paper reports the development of a short version of the trendsetting questionnaire (TDS; Batinic, Haupt, & Wieselhuber, 2006 ). According to Batinic et al., individuals high on trendsetting keep an eye open for new trends and have a broad interest in innovations. They inform a wide range of others and explain to them the value of innovations, and they recommend specific products to friends and acquaintances. Empirical criteria as well as substantive criteria were used to select nine items representing the three subtypes of the trendsetting model: input, throughput, and output. Dimensionality and measurement invariance of the short version (TDS-K) were examined in two offline surveys (N = 2,001 and 948) and two online surveys (N = 4,450 and 12,087). Multiple group confirmatory factor analyses supported the unidimensionality of the measure and showed that measurement invariance held within each of the administration methods (offline vs. online survey), but only partial invariance held across these methods.

Degrees of Freedom in Multigroup Confirmatory Factor Analyses

2020 ◽  
Vol 36 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Ulrich Schroeders ◽  
Timo Gnambs
Keyword(s):  
Measurement Invariance ◽  
Psychological Assessment ◽  
Latent Variables ◽  
Degrees Of Freedom ◽  
Measurement Model ◽  
Psychological Research ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Testing Procedures ◽  
Confirmatory Factor

Abstract. Measurement invaraiance is a key concept in psychological assessment and a fundamental prerequisite for meaningful comparisons across groups. In the prevalent approach, multigroup confirmatory factor analysis (MGCFA), specific measurement parameters are constrained to equality across groups. The degrees of freedom ( df) for these models readily follow from the hypothesized measurement model and the invariance constraints. In light of research questioning the soundness of statistical reporting in psychology, we examined how often reported df match with the df recalcualted based on information given in the publications. More specifically, we reviewed 128 studies from six leading peer-reviewed journals focusing on psychological assessment and recalculated the df for 302 measurement invariance testing procedures. Overall, about a quarter of all articles included at least one discrepancy with metric and scalar invariance being more frequently affected. We discuss moderators of these discrepancies and identify typical pitfalls in measurement invariance testing. Moreover, we provide example syntax for different methods of scaling latent variables and introduce a tool that allows for the recalculation of df in common MGCFA models to improve the statistical soundness of invariance testing in psychological research.

scholarly journals Leading People Positively: Cross-Cultural Validation of the Servant Leadership Survey (SLS)

2014 ◽  
Vol 17 ◽  
Author(s):  
Raquel Rodríguez-Carvajal ◽  
Sara de Rivas ◽  
Marta Herrero ◽  
Bernardo Moreno-Jiménez ◽  
Dirk van Dierendonck
Keyword(s):  
Servant Leadership ◽  
Measurement Invariance ◽  
Convergent Validity ◽  
Cross Cultural ◽  
Spanish Speakers ◽  
Confirmatory Factor Analyses ◽  
Three Samples ◽  
Confirmatory Factor ◽  
Working People ◽  
Model Equivalence

AbstractServant Leadership emphasizes employee’s development and growth within a context of moral and social concern. Nowadays, this management change towards workers´ wellbeing is highlighted as an important issue. The aims of this paper are to adapt to Spanish speakers the Servant Leadership Survey (SLS) by van Dierendonck and Nuijten (2011), and to analyze its factorial validity through confirmatory factor analysis and measurement invariance in three countries. A sample of 638 working people from three Spanish-speaking countries (Spain, Argentina and Mexico) participated in the study. In all three countries, confirmatory factor analyses corroborate the eight factor structure (empowerment, accountability, standing back, humility, authenticity, courage, forgiveness and stewardship) with one second order factor (servant leadership) (in all three samples, CFI, IFI > .92, TLI > .91, RMSEA < .70). Also, factor loadings, reliability and convergent validity were acceptable across samples. Furthermore, through measurement invariance analysis, we detected model equivalence in all three countries including structural residual invariance (ΔCFI = .001). Finally, cultural differences in some dimensions were found and discussed, opening the way for future cross-cultural studies.

scholarly journals Measurement Invariance of the Satisfaction With Life Scale Across 26 Countries

2017 ◽  
Vol 48 (4) ◽  
pp. 560-576 ◽  
Author(s):  
Seulki Jang ◽  
Eun Sook Kim ◽  
Chunhua Cao ◽  
Tammy D. Allen ◽  
Cary L. Cooper ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Satisfaction With Life ◽  
Cross Cultural ◽  
Satisfaction With Life Scale ◽  
Invariance Testing ◽  
Confirmatory Factor ◽  
Life Scale

The Satisfaction With Life Scale (SWLS) is a commonly used life satisfaction scale. Cross-cultural researchers use SWLS to compare mean scores of life satisfaction across countries. Despite the wide use of SWLS in cross-cultural studies, measurement invariance of SWLS has rarely been investigated, and previous studies showed inconsistent findings. Therefore, we examined the measurement invariance of SWLS with samples collected from 26 countries. To test measurement invariance, we utilized three measurement invariance techniques: (a) multigroup confirmatory factor analysis (MG-CFA), (b) multilevel confirmatory factor analysis (ML-CFA), and (c) alignment optimization methods. The three methods demonstrated that configural and metric invariances of life satisfaction held across 26 countries, whereas scalar invariance did not. With partial invariance testing, we identified that the intercepts of Items 2, 4, and 5 were noninvariant. Based on two invariant intercepts, factor means of countries were compared. Chile showed the highest factor mean; Spain and Bulgaria showed the lowest. The findings enhance our understanding of life satisfaction across countries, and they provide researchers and practitioners with practical guidance on how to conduct measurement invariance testing across countries.

scholarly journals Testing measurement invariance across groups: applications in cross-cultural research.

2010 ◽  
Vol 3 (1) ◽  
pp. 111-130 ◽  
Author(s):  
Taciano L. Milfont ◽  
Ronald Fischer
Keyword(s):  
Factor Analysis ◽  
Measurement Invariance ◽  
Psychological Research ◽  
Cross Cultural ◽  
Methodological Issues ◽  
Psychological Variables ◽  
Invariance Testing ◽  
Cultural Research ◽  
Confirmatory Factor ◽  
Cross Cultural Research

Researchers often compare groups of individuals on psychological variables. When comparing groups an assumption is made that the instrument measures the same psychological construct in all groups. If this assumption holds, the comparisons are valid and differences/similarities between groups can be meaningfully interpreted. If this assumption does not hold, comparisons and interpretations are not fully meaningful. The establishment of measurement invariance is a prerequisite for meaningful comparisons across groups. This paper first reviews the importance of equivalence in psychological research, and then the main theoretical and methodological issues regarding measurement invariance within the framework of confirmatory factor analysis. A step-by-step empirical example of measurement invariance testing is provided along with syntax examples for fitting such models in LISREL.

An Adapted Measure of Teacher Self-Efficacy for Preservice Teachers: Exploring its Validity Across two Countries

2014 ◽  
Vol 28 (3) ◽  
pp. 83-92 ◽  
Author(s):  
Franziska Pfitzner-Eden ◽  
Felicitas Thiel ◽  
Jenny Horsley
Keyword(s):  
Preservice Teachers ◽  
Self Efficacy ◽  
Confirmatory Factor Analyses ◽  
3 Dimensional ◽  
Multiple Group ◽  
Three Samples ◽  
Confirmatory Factor ◽  
Teacher Self Efficacy ◽  
Dimensional Assessment ◽  
Metric Measurement

Teacher self-efficacy (TSE) is an important construct in the prediction of positive student and teacher outcomes. However, problems with its measurement have persisted, often through confounding TSE with other constructs. This research introduces an adapted TSE instrument for preservice teachers, which is closely aligned with self-efficacy experts' recommendations for measuring self-efficacy, and based on a widely used measure of TSE. We provide first evidence of construct validity for this instrument. Participants were 851 preservice teachers in three samples from Germany and New Zealand. Results of the multiple-group confirmatory factor analyses showed a uniform 3-factor solution for all samples, metric measurement invariance, and a consistent and moderate correlation between TSE and a measure of general self-efficacy across all samples. Despite limitations to this study, there is some first evidence that this measure allows for a valid 3-dimensional assessment of TSE in preservice teachers.

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.

Measurement Invariance of a Universal Behavioral Screener Across Samples From the USA and Germany

2018 ◽  
Vol 34 (2) ◽  
pp. 87-100 ◽  
Author(s):  
Gino Casale ◽  
Robert J. Volpe ◽  
Brian Daniels ◽  
Thomas Hennemann ◽  
Amy M. Briesch ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Student Behavior ◽  
Cross Cultural ◽  
Cross Cultural Comparison ◽  
School Based ◽  
Cultural Research ◽  
Universal Screener ◽  
Confirmatory Factor ◽  
The Us ◽  
The Usa

Abstract. The current study examines the item and scalar equivalence of an abbreviated school-based universal screener that was cross-culturally translated and adapted from English into German. The instrument was designed to assess student behavior problems that impact classroom learning. Participants were 1,346 K-6 grade students from the US (n = 390, Mage = 9.23, 38.5% female) and Germany (n = 956, Mage = 8.04, 40.1% female). Measurement invariance was tested by multigroup confirmatory factor analysis (CFA) across students from the US and Germany. Results support full scalar invariance between students from the US and Germany (df = 266, χ2 = 790.141, Δχ2 = 6.9, p < .001, CFI = 0.976, ΔCFI = 0.000, RMSEA = 0.052, ΔRMSEA = −0.003) indicating that the factor structure, the factor loadings, and the item thresholds are comparable across samples. This finding implies that a full cross-cultural comparison including latent factor means and structural coefficients between the US and the German version of the abbreviated screener is possible. Therefore, the tool can be used in German schools as well as for cross-cultural research purposes between the US and Germany.

Measurement Invariance of Divergent Thinking Across Gender, Age, and School Forms

2009 ◽  
Vol 25 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Jörg-Tobias Kuhn ◽  
Heinz Holling
Keyword(s):  
Measurement Invariance ◽  
Divergent Thinking ◽  
Factor Model ◽  
Age Groups ◽  
Thinking Skills ◽  
Specific Model ◽  
Confirmatory Factor Analyses ◽  
Domain Specific ◽  
Gender And Age ◽  
Confirmatory Factor

The present study explores the factorial structure and the degree of measurement invariance of 12 divergent thinking tests. In a large sample of German students (N = 1328), a three-factor model representing verbal, figural, and numerical divergent thinking was supported. Multigroup confirmatory factor analyses revealed that partial strong measurement invariance was tenable across gender and age groups as well as school forms. Latent mean comparisons resulted in significantly higher divergent thinking skills for females and students in schools with higher mean IQ. Older students exhibited higher latent means on the verbal and figural factor, but not on the numerical factor. These results suggest that a domain-specific model of divergent thinking may be assumed, although further research is needed to elucidate the sources that negatively affect measurement invariance.

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