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 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 Whiteley Index–6: An Examination of Measurement Invariance Among Self-Identifying Black, Latino, and White Respondents in Primary Care

Assessment ◽  
2016 ◽  
Vol 25 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Thomas A. Fergus ◽  
Lance P. Kelley ◽  
Jackson O. Griggs
Keyword(s):  
Primary Care ◽  
Measurement Invariance ◽  
Short Form ◽  
Health Anxiety ◽  
Community Health Center ◽  
General Factor ◽  
Domain Specific ◽  
Primary Care Settings ◽  
Severity Scores ◽  
Specific Factors

Brief measures that are comparable across disparate groups are particularly likely to be useful in primary care settings. Prior research has supported a six-item short form of the Whiteley Index (WI), a commonly used measure of health anxiety, among English-speaking respondents. This study examined the measurement invariance of the WI-6 among Black ( n = 183), Latino ( n = 173), and White ( n = 177) respondents seeking treatment at a U.S. community health center. Results supported a bifactor model of the WI-6 among the composite sample ( N = 533), suggesting the presence of a general factor and two domain-specific factors. Results supported the incremental validity of one of the domain-specific factors in accounting for unique variance in somatic symptom severity scores beyond the general factor. Multiple-groups confirmatory factor analysis supported the configural, metric, ands scalar invariance of the bifactor WI-6 model across the three groups of respondents. Results provide support for the measurement invariance of the WI-6 among Black, Latino, and White respondents. The potential use of the WI-6 in primary care, and broader, settings is discussed.

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.

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.

Domain-Specificity of Need for Cognition Among High School Students

2019 ◽  
Vol 35 (5) ◽  
pp. 607-616 ◽  
Author(s):  
Ulrich Keller ◽  
Anja Strobel ◽  
Romain Martin ◽  
Franzis Preckel
Keyword(s):  
High School Students ◽  
Structural Equation ◽  
Factor Model ◽  
Need For Cognition ◽  
Self Concept ◽  
Equation Modeling ◽  
Specific Factor ◽  
General Factor ◽  
Domain Specific ◽  
Specific Factors

Abstract. Need for Cognition (NFC) is increasingly investigated in educational research. In contrast to other noncognitive constructs in this area, such as academic self-concept and interest, NFC has consistently been conceptualized as domain-general. We employed structural equation modeling to address the question of whether NFC can be meaningfully and gainfully conceptualized as domain-specific. To this end, we developed a domain-specific 20-item NFC scale with parallel items for Science, Mathematics, German, and French. Additionally, domain-general NFC was assessed with five domain-general items. Using a cross-sectional sample of more than 4,500 Luxembourgish 9th graders, we found that a nested-factor model incorporating both a general factor and domain-specific factors better accounted for the data than a single-factor or a correlated-factor model. However, the influence of the general factor was markedly stronger than in corresponding models for academic self-concept and interest. When controlling for the domain-specific factors, only Mathematics achievement was significantly predicted by the domain-general factor, while all achievement measures (Mathematics, French, and German) were predicted by the corresponding domain-specific factor. The nested domain-specific NFC factors were clearly empirically distinguishable from first-order domain-specific interest factors.

scholarly journals Improving the Measurement of Food Insecurity among People with HIV in South Africa: A Psychometric Examination

2021 ◽  
pp. 1-30
Author(s):  
Jasper S. Lee ◽  
Cengiz Zopluoglu ◽  
Lena S. Andersen ◽  
Amelia M. Stanton ◽  
Jessica F. Magidson ◽  
...  
Keyword(s):  
South Africa ◽  
Food Insecurity ◽  
Factor Structure ◽  
Urban Areas ◽  
Survival Rates ◽  
Bifactor Model ◽  
Hiv Care ◽  
Future Research ◽  
General Factor ◽  
Specific Factors

Abstract Objective: Food insecurity is a structural barrier to HIV care in peri-urban areas in South Africa (SA), where approximately 80% of households are moderately or severely food insecure.(1) For people with HIV (PWH), food insecurity is associated with poor ART adherence and survival rates. Yet, measurement of food insecurity among PWH remains a challenge. Design: This study examines the factor structure of the 9-item Household Food Insecurity Access Scale (HFIAS, isiXhosa-translated) among PWH in SA using a restrictive bifactor model. Setting: Primary care clinics in Khayelitsha, a peri-urban settlement in Cape Town, SA. Participants: Participants (N=440) were PWH who received HIV care in Khayelitsha screening for a clinical trial. Most were categorized as severely (n=250, 56.82%) or moderately (n=107, 24.32%) food insecure in the past 30 days. Results: Revised parallel analysis suggested a 3-factor structure, which was inadmissible. A 2-factor structure was examined but did not adequately fit the data. A 2-factor restrictive bifactor model was examined, such that all items loaded on a general factor (food insecurity) and all but two items loaded on one of two specific additional factors, which adequately fit the data (CFI=0.995, SRMR=0.019). The two specific factors identified were: anxiety/insufficient quality, and no food intake. Reliability was adequate (ω=.82). Conclusions: Results supported the use of a total score, and identified two specific factors of the HFIAS, which may be utilized in future research and intervention development. These findings help identify aspects of food insecurity that may drive relationships between the construct and important HIV-related variables.

scholarly journals Application of S-1 Bifactor Model to Evaluate the Structural Validity of TMMS-24

2021 ◽  
Vol 18 (14) ◽  
pp. 7427
Author(s):  
Daniel Ondé ◽  
Jesús M. Alvarado ◽  
Santiago Sastre ◽  
Carolina M. Azañedo
Keyword(s):  
Emotional Intelligence ◽  
Internal Structure ◽  
Internal Consistency ◽  
Structural Complexity ◽  
Bifactor Model ◽  
General Factor ◽  
Hierarchical Relationship ◽  
Promising Tool ◽  
Sum Score ◽  
Specific Factors

(1) Background: Recent studies have shown that the internal structure of TMMS-24 can be conceptualized as a bifactor. However, these studies, based exclusively on the evaluation of the fit of the model, fail to show the existence of a general factor of strong emotional intelligence and have neglected the evaluation of the specific factors of attention, clarity and repair. The main goal of this work is to evaluate the degree of determination and reliability of the specific factors of TMMS-24 using a bifactor S-1 model. (2) Methods: We administered TMMS-24 to a sample of 384 students from middle and high schools (58.1% girls; mean age = 15.5; SD = 1.8). (3) Results: The specific TMMS-24 factors are better determined and present a higher internal consistency than the general factor. Furthermore, the bifactor S-1 model shows the existence of a hierarchical relationship between the attention factor and the clarity and repair factors. The S-1 bifactor model is the only one that was shown to be invariant as a function of the sex of the participants. (4) Conclusions: The S-1 bifactor model has proven to be a promising tool for capturing the structural complexity of TMMS-24. Its application indicates that it is not advisable to use the sum score of the items, since it would be contaminated by the attention factor. In addition, this score would not be invariant either, that is, comparisons by sex would be invalid.

scholarly journals Sensory and affective components of symptom perception

2018 ◽  
Vol 9 (2) ◽  
pp. jep.059716 ◽  
Author(s):  
Marta Walentynowicz ◽  
Michael Witthöft ◽  
Filip Raes ◽  
Ilse Van Diest ◽  
Omer Van den Bergh
Keyword(s):  
Undergraduate Students ◽  
Bifactor Model ◽  
Latent Structure ◽  
General Factor ◽  
Symptom Perception ◽  
Confirmatory Factor ◽  
Patient Health ◽  
Specific Factors ◽  
Affective Components ◽  
Psychometric Studies

Psychological accounts of symptom perception put forward that symptom experiences consist of sensory-perceptual and affective-motivational components. This division is also suggested by psychometric studies investigating the latent structure of symptom reporting. To corroborate the view that the general and symptom-specific factors of a bifactor model represent affective and sensory components, respectively, we performed bifactor models applying confirmatory factor analytic approaches to the Patient Health Questionnaire-15 and the Checklist for Symptoms in Daily Life completed by 1053 undergraduate students. Additionally, we explored the association of latent factors with negative affectivity (NA). For both questionnaires, a bifactor model with one general and several symptom-specific factors revealed the best fit to the data. NA yielded large associations with the general factor, but smaller ones with somatic symptom-specific factors in both questionnaires. The observed latent structure supports a distinction between sensory-perceptual and affective-motivational components, and the association between the NA and the general factor confirms the affective tone of the latter.

Screening Broad Mental Health Problems Among Adolescents: Bifactor Modeling of the YIEPS

2021 ◽  
Author(s):  
Sean N Weeks ◽  
Tyler L Renshaw ◽  
Allysia A. Rainey ◽  
Aubrey Taylor-Hiatt
Keyword(s):  
Mental Health ◽  
Externalizing Problems ◽  
Mental Health Problems ◽  
Global Mental Health ◽  
Measurement Model ◽  
Health Problems ◽  
Bifactor Model ◽  
General Factor ◽  
Specific Factors ◽  
Internalizing And Externalizing

Internalizing and externalizing problems are common targets for school mental health screening. The Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS) were developed separately yet intended as companion self-report screeners. Prior research supports the interpretation of total scores derived from both measures. We extended previous work by investigating the defensibility of a series of integrated measurement models that combined items from the YIPS and YEPS into a single, unified screener (YIEPS). Specifically, we evaluated the viability of (1) a unidimensional measurement model with one factor representing global mental health problems, (2) a correlated-factors model with two latent variables representing internalizing and externalizing problems, and (3) a bifactor model with two specific factors (i.e., internalizing and externalizing) and a general factor representing global mental health problems. Following, we tested the reliabilities of the several factors represented in these models as well as the informational value-added of these competing models. Results indicated that a bifactor YIEPS measurement model had the best data-model fit when integrating the two screeners. However, exploratory analyses suggested a revised alternative bifactor model with three specific factors—parsing attention problems from other externalizing and internalizing content—might be a better bifactor model than the original. Ultimately, we recommend the integrated YIEPS is best understood as measuring three specific factors and one general factor. Reliability findings further suggest the general factor (i.e., global Mental Health Problems) is the most defensible. Future directions for research and practice are discussed.

The Reynolds Intellectual Assessment Scales: Measurement Invariance Across Four Language Groups

2018 ◽  
Vol 37 (5) ◽  
pp. 590-602
Author(s):  
Jasmin T. Gygi ◽  
Thomas Ledermann ◽  
Alexander Grob ◽  
Myriam Rudaz ◽  
Priska Hagmann-von Arx
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
General Factor ◽  
Language Group ◽  
Single Factor ◽  
Intellectual Assessment ◽  
Multiple Group ◽  
Language Groups ◽  
Main Components ◽  
Assessment Scales

The Reynolds Intellectual Assessment Scales (RIAS) measures general intelligence and its two main components, verbal and nonverbal intelligence, each comprising of two subtests. The RIAS has been recently standardized in Denmark, Germany, Switzerland, and Spain. Using the standardization samples of the U.S. ( n = 2,438), Danish ( n = 983), German ( n = 2,103), and Spanish ( n = 1,933) versions of the RIAS, this study examined measurement invariance across these four language groups for a single-factor structure, an oblique two-factor structure with a verbal and nonverbal factor, and a bifactor structure with a general, a verbal, and a nonverbal factor. Single-group confirmatory factor analysis (CFA) supported the oblique two-factor and bifactor structure for each language group but not the single-factor structure. The bifactor analysis revealed that the general factor accounted for the largest proportion of common variance in each language group, while the amount of variance accounted for by the two specific factors was small and their reliabilities low. Multiple-group CFA supported scalar invariance in both, the oblique two-factor and bifactor structure.

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