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.

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 Measuring Impulsivity in Children: Adaptation and Validation of a Short Version of the UPPS-P Impulsive Behaviors Scale in Children and Investigation of its Links With ADHD

2018 ◽  
Vol 25 (1) ◽  
pp. 105-114 ◽  
Author(s):  
Marie Geurten ◽  
Corinne Catale ◽  
Philippe Gay ◽  
Sandrine Deplus ◽  
Joël Billieux
Keyword(s):  
Sensation Seeking ◽  
Short Version ◽  
Healthy Children ◽  
Factor Analyses ◽  
Time Saving ◽  
Confirmatory Factor Analyses ◽  
Wide Range ◽  
Problematic Behaviors ◽  
Confirmatory Factor ◽  
Test Retest Reliability

Objective: Impulsivity is a multifaceted construct known to play a crucial role in the development and maintenance of a wide range of problematic behaviors and psychological disorders in children. Method: In this study, we adapted the short French adult version of the UPPS-P (urgency–premeditation–perseverance–sensation seeking–positive urgency) Impulsive Behaviors Scale for use with children (short UPPS-P-C) and tested its psychometric properties. Results: Confirmatory factor analyses conducted on a sample of 425 children (aged 8-14 years) supported the five-factor structure of the scale. Additional analyses emphasized the good internal and test–retest reliability of the short UPPS-P-C. Furthermore, our results also revealed that lack of premeditation, positive urgency, and negative urgency subscales were able to discriminate between children diagnosed with ADHD and their matched controls. Conclusion: These results suggest that the short UPPS-P-C may be considered as a promising time-saving tool to assess impulsivity traits in healthy children and in children with psychiatric disorders.

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.

scholarly journals Comparing Classic and Novel Approaches to Measurement Invariance

2020 ◽  
Author(s):  
Zoe Magraw-Mickelson ◽  
Alejandro Hermida Carrillo ◽  
Maas Misha'ari Weerabangsa ◽  
Chuma Kevin Owuamalam ◽  
Mario Gollwitzer
Keyword(s):  
Measurement Invariance ◽  
Cross Validation ◽  
Optimization Method ◽  
New Methods ◽  
Multiple Group ◽  
Cultural Research ◽  
Confirmatory Factor ◽  
Cross Cultural Research ◽  
Partial Invariance ◽  
Recent Extension

Measurement invariance (MI) is vital to any comparison of heterogeneous groups. With multiple-group confirmatory factor analysis (MG-CFA), which is the standard practice for testing MI, there are widely acknowledged limitations, especially with a large number of groups for which strict invariance is difficult or impossible to achieve. New methods, specifically Alignment optimization, gives increased flexibility and new opportunities to make comparisons across a large number of groups. This article compares MG-CFA with Alignment optimization for MI testing in three demonstrative studies. First, in a study of eight countries looking at eight different measures, the MG-CFA method found strict MI is problematic; only partial invariance was achievable and additionally required some of the countries to be excluded in some analysis. However, in using the Alignment optimization method there were not these drawbacks. Next, in a cross-validation reanalysis of existing data from five countries, we tested the reproducibility of conclusions from Alignment and MG-CFA analyses, finding only the results of the Alignment method reproducible. Finally, we show how to apply a recent extension of the Alignment optimization method, Alignment-within-CFA (AwC), to correlational analysis with samples from 30 countries. In a comparison of results with and without Alignment adjustments, we found some differences in conclusions drawn. This article illustrates the differences between methods as well as how to apply them to cross-cultural research.

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 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.

Longitudinal and Gender Measurement Invariance of the Gratitude Questionnaire in Chinese Adolescents

2021 ◽  
pp. 003329412110360
Author(s):  
Qingsong Tan ◽  
Jilin Zou ◽  
Feng Kong
Keyword(s):  
Measurement Invariance ◽  
Time Interval ◽  
Longitudinal Measurement Invariance ◽  
Multiple Group ◽  
Longitudinal Measurement ◽  
Confirmatory Factor ◽  
Adolescent Sample ◽  
Good Internal Consistency ◽  
And Gender ◽  
Mean Differences

The 5-item Gratitude Questionnaire (GQ-5) is one of the most commonly used instruments to measure dispositional gratitude in adolescents. The purpose of this study was to verify the longitudinal measurement invariance (LMI) and gender measurement invariance (GMI) of the GQ-5 that was administered to an adolescent sample twice over the course of 18 months ( N = 669). Single-group confirmatory factor analysis (CFA) was adopted to examine the LMI and multiple-group CFA was conducted to assess the GMI. The results showed that the GQ-5 had strong invariance (i.e., equality of factor patterns, loadings, and intercepts) across time and gender. Validation of latent factor mean differences showed that females had higher gratitude scores than males. In addition, the GQ-5 exhibited good internal consistency indices across time and a moderate stability coefficient was also found across an 18-month time interval in adolescents. In summary, our study showed that LMI and GMI of the GQ-5 are satisfactory and the GQ-5 is a reliable instrument for measuring gratitude in adolescents.

scholarly journals Validation and psychometric properties of the Indonesian version of the Fear of Missing Out Scale in adolescents

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Dian Veronika Sakti Kaloeti ◽  
Ayu Kurnia S ◽  
Valentino Marcel Tahamata
Keyword(s):  
Psychometric Properties ◽  
General Health ◽  
Goodness Of Fit ◽  
Online Survey ◽  
General Health Questionnaire ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Fear Of Missing Out ◽  
Confirmatory Factor ◽  
Fit Index

Abstract Background This study’s main purpose was to examine the psychometric properties of FoMOs’ adaptation among the Indonesian adolescents’ population. The second aim was to investigate the concurrent validity of the Indonesian version to provide evidence for the validity. Also, FoMOs’ difference level between demographic variance analyses was performed. Method The study involved a cross-sectional online survey design with 638 Indonesian adolescents aged 16–24 (M = 19.08, SD = 14.70). FoMO was measured by a 16-item that has been modified from the original 10-item. Exploratory and confirmatory factor analyses were carried out to study its scores’ evidence of structural validity. Besides, to study its scores’ evidence of convergent, discriminant, and predictive validity concerning other variables such as stress, anxiety, and depression (Depression and Anxiety Stress Scale-21), and general health condition (General Health Questionnaire Scale-12), correlation analyses were conducted. To study the sensitivity, we assessed the effect of sociodemographic and social media use on the scale’s ability to identify the population’s risk to the FoMO by conducting analyses of variance. The Cronbach alpha values (α = .93) indicated that internal consistency of the scale was at an adequate level. Results Exploratory factorial analyses revealed adequate adjustment for the new version of the scale showing the three factorial structures. Confirmatory factor analyses showed that the 12-item of Indonesian FoMO had a good fit (χ2/df = 289.324/51; goodness-of-fit index (GFI) = 0.928; RMSEA = 0.086; comparative fit index (CFI) = 0.915; normed fit index (NFI) = 0.899; parsimony normed fit index (PNFI) = .695; Tucker–Lewis index (TLI) = 0.890). Conclusion This study has shown that the modified 12-item Fear of Missing Out Scale is a valid and reliable instrument for Indonesian adolescents. It showed that the Indonesian version of Fear of Missing Out Scale has adequate psychometric properties to measure Indonesian adolescents’ online behavior.

scholarly journals The English and Chinese language versions of the Short Form 12-item Health Survey are equivalent

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Daniel Y. T. Fong ◽  
Janet Y. H. Wong ◽  
Edmond P. H. Choi ◽  
K. F. Lam ◽  
C. Kwok
Keyword(s):  
Measurement Invariance ◽  
Health Survey ◽  
Short Form ◽  
Cross Sectional Study ◽  
Measurement Properties ◽  
University Campus ◽  
Cross Sectional ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
The Difference

Abstract Background The Short Form 12-item Health Survey (SF-12v2) was originally developed in English, but it is also available in Hong Kong (HK) Chinese. While both language versions had their measurement properties well assessed in their respective populations, their measurement invariance in scores has not been examined. Therefore, we aimed to assess their measurement invariance. Methods We conducted a cross-sectional study on individuals aged 18 years or older at a university campus. Those who were bilingual in English and Chinese were randomly assigned to self-complete either the standard English or the HK Chinese SF-12v2. Measurement invariance of the two components and eight scales of the SF-12v2 was concluded if the corresponding 90% confidence interval (CI) for the difference between the two language versions entirely fell within the minimal clinically important difference of ± 3 units. Multiple-group confirmatory factor analysis (CFA) was also performed. Results A total of 1013 participants completed the SF-12v2 (496 in English and 517 in HK Chinese), with a mean age of 22 years (Range 18–58), and 626 participants (62%) were female. There were no significant differences in demographics. Only the physical and mental components and the mental health (MH) scale had their 90% CIs (0.21 to 1.61, − 1.00 to 0.98, and − 0.86 to 2.84, respectively) completely fall within the ± 3 units. The multiple-group CFA showed partial strict invariance. Conclusions The English and HK Chinese versions of the SF-12v2 can be used in studies with their two components and MH scores pooled in the analysis.

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