Supplemental Material for Bifactor Model of WISC-IV: Applicability and Measurement Invariance in Low and Normal IQ Groups

2016 ◽  
Keyword(s):  
Measurement Invariance ◽  
Bifactor Model

The Test of Gross Motor Development—Third Edition: A Bifactor Model, Dimensionality, and Measurement Invariance

2021 ◽  
pp. 1-16
Author(s):  
Sedigheh Salami ◽  
Paulo Felipe Ribeiro Bandeira ◽  
Cristiano Mauro Assis Gomes ◽  
Parvaneh Shamsipour Dehkordi
Keyword(s):  
Measurement Invariance ◽  
Motor Development ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Bifactor Model ◽  
General Factor ◽  
Convenience Sample ◽  
Gross Motor ◽  
Measurement Models ◽  
Gross Motor Development

Aim: To examine the latent structure of the Test of Gross Motor Development—Third Edition (TGMD-3) with a bifactor modeling approach. In addition, the study examines the dimensionality and model-based reliability of general and specific contributions of the test’s subscales and measurement invariance of the TGMD-3. Methods: A convenience sample of (N = 496; Mage = 7.23 ± 2.03 years; 53.8% female) typically developed children participated in this study. Three alternative measurement models were tested: (a) a unidimensional model, (b) a correlated two-factor model, and (c) a bifactor model. Results: The totality of results, including item loadings, goodness-of-fit indexes, and reliability estimates, all supported the bifactor model and strong evidence of a general factor, namely gross motor competence. Additionally, the reliability of subscale scores was poor, and it is thus contended that scoring, reporting, and interpreting of the subscales scores are probably not justifiable. Conclusions: This study shows the advantages of using bifactor approach to examine the TGMD-3 factor structure and suggests that the two traditionally hypothesized factors are better understood as “grouping” factors rather than as representative of latent constructs. In addition, our findings demonstrate that the bifactor model appears invariant for sex.

scholarly journals Negative Problems Orientation Questionnaire for Chinese Adolescents: Bifactor Model and Measurement Invariance

2020 ◽  
Vol 11 ◽  
Author(s):  
Huiwen Xiao ◽  
Rongmao Lin ◽  
Qiaoling Wu ◽  
Saili Shen ◽  
Youwei Yan
Keyword(s):  
Measurement Invariance ◽  
Bifactor Model ◽  
Chinese Adolescents ◽  
General Factor ◽  
Problem Orientation ◽  
Domain Specific ◽  
Multiple Group ◽  
Gender And Age ◽  
Specific Factors ◽  
Negative Problem Orientation

The Negative Problem Orientation Questionnaire (NPOQ) is a widely used tool for assessing negative problem orientation (NPO). However, its construct and measurement invariance has not been adequately tested in adolescents. The present study explored the possible construct of the NPOQ and its measurement invariance in a sample of 754 Chinese adolescents (51.6% girls, all 12–18 years old). The results supported a bifactor model of the NPOQ that consists of a general factor NPO and three domain-specific factors including perceived threat, self-inefficacy, and negative outcome expectancy. A multiple-group CFA indicated that the bifactor model showed strict invariance across gender and age. The general and domain factors showed unique variance in indexes of worry, depression, anxiety, and stress, which supported well incremental validity of them. This study confirms for a bifactor conceptualization of the NPOQ and its measurement invariance across gender and age in Chinese adolescents. Additionally, it is recommended that the total score should be used to assess NPO in Chinese adolescents.

scholarly journals The Youth Psychopathic Traits Inventory: A Bifactor Model, Dimensionality, and Measurement Invariance

Assessment ◽  
2016 ◽  
Vol 24 (7) ◽  
pp. 932-944 ◽  
Author(s):  
Wendy Zwaanswijk ◽  
Violaine C. Veen ◽  
Paul Vedder
Keyword(s):  
Measurement Invariance ◽  
Community Sample ◽  
Psychopathic Traits ◽  
Bifactor Model ◽  
Ethnic Background ◽  
Latent Structure ◽  
Factor Scores ◽  
Modeling Approach ◽  
Youth Psychopathic Traits Inventory ◽  
Bifactor Modeling

The current study examines a bifactor model for the Youth Psychopathic Traits Inventory (YPI) in a Dutch community sample of adolescents ( N = 2,874). The primary goal was to examine the latent structure of the YPI with a bifactor modeling approach. Furthermore, the study examines the dimensionality and measurement invariance of the YPI. Results show that a bifactor model at subscale level fits the YPI best. The general psychopathy factor influences the 10 subscales of the YPI strongly, indicating that the YPI seems to be rather unidimensional than multidimensional. Nevertheless, the dimensions still explain nearly one third of the variance found. Findings imply that the bifactor model of the YPI should be used when examining relations with outcome variables, with a focus on the total score of the YPI, while factor scores should be reported with caution. Furthermore, the bifactor model appears invariant for gender, age, and ethnic background.

scholarly journals The German Version of the Perceived Stress Scale (PSS-10): Evaluation of Dimensionality, Validity, and Measurement Invariance With Exploratory and Confirmatory Bifactor Modeling

Assessment ◽  
2017 ◽  
Vol 26 (7) ◽  
pp. 1246-1259 ◽  
Author(s):  
Dorota Reis ◽  
Dirk Lehr ◽  
Elena Heber ◽  
David Daniel Ebert
Keyword(s):  
Stress Management ◽  
Measurement Invariance ◽  
Perceived Stress ◽  
Reliability And Validity ◽  
Management Training ◽  
Bifactor Model ◽  
Perceived Stress Scale ◽  
Stress Management Training ◽  
Stress Scale ◽  
Bifactor Modeling

The Perceived Stress Scale (PSS) is a popular instrument for measuring the degree to which individuals appraise situations in their lives as excessively uncontrollable and overloaded. Despite its widespread use (e.g., for evaluating intervention effects in stress management studies), there is still no agreement on its factor structure. Hence, the aim of the present study was to examine the dimensionality, measurement invariance (i.e., across gender, samples, and time), reliability, and validity of the PSS. Data from 11,939 German adults (73% women) were used to establish an exploratory bifactor model for the PSS with one general and two specific factors and to cross-validate this model in a confirmatory bifactor model. The model displayed strong measurement invariance across gender and was replicated in Study 2 in data derived from six randomized controlled trials investigating a web-based stress management training. In Study 2 (overall N = 1,862), we found strong temporal invariance. Also, our analyses of concurrent and predictive validity showed associations with depressive symptoms, anxiety, and insomnia severity for the three latent PSS factors. These results show the implications of the bifactor structure of the PSS that might be of consequence in empirical research.

scholarly journals Factor Structure and Measurement Invariance Across Gender of the Beck Depression Inventory-II in Adolescent Psychiatric Patients

2020 ◽  
Vol 11 ◽  
Author(s):  
Ferdinand Keller ◽  
Inken Kirschbaum-Lesch ◽  
Joana Straub
Keyword(s):  
Measurement Invariance ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Clinical Sample ◽  
Factor Models ◽  
Bifactor Model ◽  
General Factor ◽  
Factor Analyses ◽  
Specific Factors

The revised version of the Beck Depression Inventory (BDI-II) is one of the most frequently applied questionnaires not only in adults, but also in adolescents. To date, attempts to identify a replicable factor structure of the BDI-II have mainly been undertaken in adult populations. Moreover, most of the studies which included minors and were split by gender lacked confirmatory factor analyses and were generally conducted in healthy adolescents. The present study therefore aimed to determine the goodness of fit of various factor models proposed in the literature in an adolescent clinical sample, to evaluate alternative solutions for the factor structure and to explore potential gender differences in factor loadings. The focus was on testing bifactor models and subsequently on calculating bifactor statistical indices to help clarify whether a uni- or a multidimensional construct is more appropriate, and on testing the best-fitting factor model for measurement invariance according to gender. The sample comprised 835 adolescent girls and boys aged 13–18 years in out- and inpatient setting. Several factor models proposed in the literature provided a good fit when applied to the adolescent clinical sample, and differences in goodness of fit were small. Exploratory factor analyses were used to develop and test a bifactor model that consisted of a general factor and two specific factors, termed cognitive and somatic. The bifactor model confirmed the existence of a strong general factor on which all items load, and the bifactor statistical indices suggest that the BDI-II should be seen as a unidimensional scale. Concerning measurement invariance across gender, there were differences in loadings on item 21 (Loss of interest in sex) on the general factor and on items 1 (Sadness), 4 (Loss of pleasure), and 9 (Suicidal Thoughts) on the specific factors. Thus, partial measurement invariance can be assumed and differences are negligible. It can be concluded that the total score of the BDI-II can be used to measure depression severity in adolescent clinical samples.

THE TEST OF GROSS MOTOR DEVELOPMENT-THIRD EDITION: A BIFACTOR MODEL, DIMENSIONALITY, AND MEASUREMENT INVARIANCE

2020 ◽  
Author(s):  
Sedigheh Salami ◽  
Paulo Felipe Ribeiro Bandeira ◽  
Cristiano Mauro Assis Gomes ◽  
Parvaneh Shamsipour Dehkordi
Keyword(s):  
Measurement Invariance ◽  
Motor Development ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Bifactor Model ◽  
Gross Motor ◽  
Measurement Models ◽  
Gross Motor Development ◽  
Bifactor Modeling ◽  
Iranian Children

Aim: To examine the latent structure of the Test of Gross Motor Development, 3rd Edition (TGMD-3) with a bifactor modeling approach. Furthermore, the study examines the dimensionality, model-based reliability of general and specific contributions of the test's subscales and measurement invariance of the TGMD-3. Methods: Using a sample of 496 Iranian children (M age = 7.23±2.03 years; 53.8 female) from the five main geographic regions of Tehran city, three alternative measurement models were tested: (a) a unidimensional model, (b) a correlated 2-factor model, (c) a bifactor model. Results: The totality of results including item loadings, goodness-of-fit indexes and reliability estimates all supported the bifactor model and strong evidence of general fundamental movement factor. Additionally, the reliability of subscale scores was poor, it is thus contended that scoring, reporting and interpreting of the subscales scores are probably not justifiable. Suggesting that the 2 traditionally hypothesized factors are better understood as “grouping” factors rather than as representative of latent constructs. Furthermore, the bifactor model appears invariant for gender. Conclusion: This study is the first to address the bifactor model and new insights regarding the application and interpretation of the test battery most widely used with children.

scholarly journals Measurement Invariance of Perfectionism Measures in Students with and without a History of Non-Suicidal Self-Injury

2021 ◽  
Vol 18 (19) ◽  
pp. 10171
Author(s):  
Kate E. Tonta ◽  
Mark Boyes ◽  
Joel Howell ◽  
Peter McEvoy ◽  
Penelope Hasking
Keyword(s):  
Measurement Invariance ◽  
Factor Model ◽  
Bifactor Model ◽  
Residual Error ◽  
Group Differences ◽  
Partial Metric ◽  
Total N ◽  
Self Injury ◽  
History Of ◽  
Metric Invariance

Perfectionism is a transdiagnostic process which may be implicated in the onset and maintenance of non-suicidal self-injury. No study has evaluated whether reported differences in perfectionism between individuals with and without a history of self-injury represent genuine group differences or measurement artefacts. The present study reports an investigation of the measurement invariance of two common scales of perfectionism, the Frost Multidimensional Perfectionism Scale-Brief (FMPS-Brief) and the Clinical Perfectionism Questionnaire (CPQ), among university students (Mage = 20.48, SDage = 2.22, 75.3% female, 22.8% male) with and without a history of self-injury (total n = 711). Results revealed full residual error invariance for the two-factor model of FMPS-Brief, while the bifactor model of the FMPS-Brief and the two-factor model of the CPQ demonstrated partial metric invariance. Accounting for partial metric invariance, the bifactor model of the FMPS-Brief also demonstrated partial residual error invariance. The current findings suggest that observed differences using the FMPS-Brief reflect genuine differences in perfectionism between individuals with and without a history of self-injury. Further, while researchers using the bi-factor model can have confidence that the general factor can adequately assess group differences, differential item functioning should be considered if using the strivings and concerns factors. Finally, in the current data, the CPQ did not perform as expected in baseline model fit and future research should replicate assessments of measurement invariance in this measure.

scholarly journals Factor Structure of the Difficulties in Emotion Regulation Scale in Treatment Seeking Adults with Eating Disorders

2019 ◽  
Vol 42 (1) ◽  
pp. 111-126 ◽  
Author(s):  
Line Nordgren ◽  
Elin Monell ◽  
Andreas Birgegård ◽  
Johan Bjureberg ◽  
Hugo Hesser
Keyword(s):  
Eating Disorders ◽  
Emotion Regulation ◽  
Anorexia Nervosa ◽  
Bulimia Nervosa ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Eating Pathology ◽  
Bifactor Model ◽  
General Factor ◽  
Difficulties In Emotion Regulation

AbstractThe Difficulties in Emotion Regulation Scale (DERS) is extensively used as a measure of emotion (dys-)regulation ability in both clinical and nonclinical populations. This is the first study to examine the factor structure of both the original 36-item and short 16-item version of the DERS in adults with eating disorders and to test measurement invariance across diagnostic subgroups. The factor structure of the scale was examined using confirmatory factor analysis in a psychiatric sample of adults with eating disorders (N = 857). Four primary factor structures were fitted to the data: (1) a unidimensional model, (2) a six-factor correlated-traits model, (3) a higher-order factor solution, and (4) a bifactor model. Measurement invariance was tested for diagnostic subgroups of anorexia nervosa and bulimia nervosa and associations between factors and eating pathology were examined in each diagnostic group. Results indicated that a modified bifactor solution fitted the data adequately for both the 36-item and 16-item version of the DERS. A general factor explained most of the variance (86%) and reliability was high for the general factor of DERS (total) but lower for the subscales. Measurement invariance of the bifactor model was supported across diagnostic subgroups and test of factor means reveled that bulimia nervosa had a higher factor mean than anorexia nervosa on the general factor. The general factor accounted for a significant proportion of variance in eating pathology. Our results support the use of the total scale of both the 36-item and 16-item version among adults with eating disorders.

Bifactor model of WISC-IV: Applicability and measurement invariance in low and normal IQ groups.

2017 ◽  
Vol 29 (7) ◽  
pp. 902-912 ◽  
Author(s):  
Rapson Gomez ◽  
Alasdair Vance ◽  
Shaun Watson
Keyword(s):  
Measurement Invariance ◽  
Bifactor Model
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