scholarly journals Factor Structure of the Intelligence and Development Scales–2: Measurement Invariance Across the Dutch and German Versions, Sex, and Age

2021 ◽  
Author(s):  
Silvia Grieder ◽  
Marieke Timmerman ◽  
Linda Visser ◽  
Selma Anne José Ruiter ◽  
Alexander Grob
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
Visual Processing ◽  
Structural Equation ◽  
Basic Skills ◽  
A Priori ◽  
Selection Procedure ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Final Model

We examined the factor structure of the intelligence and basic skills domains of the German and Dutch versions of an international test battery with 13 representative national standardizations (among others, Italian, Polish, U.K.)—the Intelligence and Development Scales–2 (IDS-2)—with confirmatory factor analyses (CFA) of the standardization samples. This included measurement invariance analyses across the Dutch and German versions and sex using multiple-group CFA, and across age using local structural equation modeling (LSEM). We tested several a priori theoretically (mostly following the Cattell–Horn–Carroll and verbal–perceptual–image rotation models) and empirically (with EFA) determined models and found a second-order model with six first-order factors best represented the Dutch IDS-2 structure. Five IDS-2 factors were confirmed, but Visual Processing and Abstract Reasoning and the intelligence and basic skills domains were not separable. This final model displayed full invariance across the Dutch and German versions and partial scalar invariance across sex, and it was largely invariant across ages 7 to 20 years. Thus, scores derived according to this final model will be comparable across these language versions, sex, and age. The strong general intelligence factor and weak broad ability factors suggest clinical interpretation should mainly be based on the full-scale IQ. We discuss the importance of testing multiple plausible models and adhering to a strict model selection procedure in CFA and implications for intelligence theory and clinical practice.

scholarly journals The structural equation modeling of reading interest psycho-behavioural constructs: How are they related across different modes of reading?

2017 ◽  
Vol 3 (1) ◽  
pp. 50
Author(s):  
Nur Hidayanto Pancoro Setyo Putro ◽  
Jihyun Lee
Keyword(s):  
Undergraduate Students ◽  
Structural Equation ◽  
A Priori ◽  
Theory Development ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Student Reading ◽  
Components Of Reading ◽  
Reading Interest

The present study examines the relationships between the psycho-behavioral constructs underlying undergraduate students’ reading interest. The a priori framework for conceptualizing the sub-components of reading interest is based on two modes of reading (printed-text-based and also Internet-based), and three types of psycho-behavioral motives/intentions of reading (affective, cognitive, and behavioral). Participants in this study were students (M = 20.14 years old) from an Indonesian university (n = 993). Exploratory and confirmatory factor analyses show the salience of 10 factors across reading modes and psycho-behavioral domains of reading. The most accept-able SEM models that explore the relationships among the sub-components of reading interest have the student reading interest in the print mode preceded interest in reading online materials. Implications of these findings are discussed for theory development and practice.

scholarly journals Multidimensional Factor Structure of the Modified Child Rearing Practices Report questionnaire (CRPR-Q) in a sample of Portuguese mothers: A bifactor approach

2021 ◽  
Vol 39 (2) ◽  
pp. 299-311
Author(s):  
Olívia Ribeiro ◽  
Maryse Guedes ◽  
Manuela Veríssimo ◽  
Kenneth H. Rubin ◽  
António J. Santos
Keyword(s):  
Measurement Invariance ◽  
Parenting Practices ◽  
Structural Equation ◽  
Parental Attitudes ◽  
Community Sample ◽  
A Priori ◽  
Age Groups ◽  
Child Rearing ◽  
Equation Modeling ◽  
Factorial Structure

Parental attitudes toward child socialization influence their child-rearing practices, the quality of parent-child relationships, and children’s developmental outcomes. The Modified Child Rearing Practices Questionnaire (CRPR-Q) has been widely used to assess parenting practices across children’s development. However, the few studies investigating its two-factorial structure (nurturance and restrictiveness) have shown inconsistent findings and have not explored measurement invariance across children’s sex and age groups. The aims of this study were to (1) further investigate the factorial structure of the CRPR-Q, by using bifactor solutions (b-confirmatory factor analysis [B-CFA] and b-exploratory structural equation modeling [B-ESEM]) and (2) examine the measurement invariance of CRPR-Q across children’s sex and age groups. A community sample of 589 Portuguese mothers of children aged 3 to 15 years completed the CRPR-Q. Our findings revealed that the B-ESEM model best fit the data. A clear differentiation between the two a priori factors (nurturance and restrictiveness) was found. However, our findings suggest the need to control for content specificity and rely on a broader perspective regarding the nurturance factor. Measurement invariance was observed across children’s sex but not across children’s age groups. These findings contribute to a more in-depth understanding of the underlying relationships among the CRPR-Q items.

scholarly journals Longitudinal measurement invariance in urbanization index of Chinese communities across 2000 and 2015: a Bayesian approximate measurement invariance approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ted C. T. Fong ◽  
Rainbow T. H. Ho
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
Structural Equation ◽  
Equation Modeling ◽  
Nutrition Survey ◽  
Longitudinal Measurement Invariance ◽  
Longitudinal Measurement ◽  
The One ◽  
Bayesian Structural Equation Modeling ◽  
Urbanicity Scale

Abstract Background The Urbanicity Scale was developed based on the China Health and Nutrition Survey (CHNS) to measure the urbanization index of communities according to 12 components. The present study was designed to systematically investigate the factorial validity, reliability, and longitudinal measurement invariance (LMI) of the Urbanicity Scale. Methods Six waves of CHNS data from 2000 to 2015 were adopted. The factor structure and reliability of the Urbanicity Scale for 301 communities were examined using Bayesian exploratory factor analysis. Metric and scalar LMIs were evaluated using both the conventional exact and a novel approximate LMI approach via Bayesian structural equation modeling across various timeframes. Results The findings verified the one-factor structure for the Urbanicity Scale, with adequate reliability. LMI was established for the Urbanicity Scale only over a shorter timeframe from 2006 to 2009 but not over a longer timeframe from 2000 to 2015. Partial LMI was found in the factor loadings and item intercepts for the Urbanicity Scale over the 2004 to 2011 period. Conclusion Interpretation of the temporal change in urbanicity was supported only for a shorter (2006 to 2009) but not a longer timeframe (2000 to 2015). Adjustments addressing the partial non-invariance of the measurement parameters are needed for the analysis of temporal changes in urbanicity between 2004 and 2011.

The benefits of latent variable modeling to develop norms for a translated version of a standardized scale

2016 ◽  
Vol 41 (6) ◽  
pp. 743-750 ◽  
Author(s):  
Hyojeong Seo ◽  
Leslie A. Shaw ◽  
Karrie A. Shogren ◽  
Kyle M. Lang ◽  
Todd D. Little
Keyword(s):  
Measurement Invariance ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Model Parameters ◽  
Confirmatory Factor Analyses ◽  
Standardization Sample ◽  
Multiple Group ◽  
The Us ◽  
Latent Means

This article demonstrates the use of structural equation modeling to develop norms for a translated version of a standardized scale, the Supports Intensity Scale – Children’s Version (SIS-C). The latent variable norming method proposed is useful when the standardization sample for a translated version is relatively small to derive norms independently but the original standardization sample is larger and more robust. Specifically, we leveraged a large, representative US standardization sample ( n = 4,015) to add power and stability to a smaller Spanish ( n = 405) standardization sample. Using a series of multiple-group mean and covariance structures confirmatory factor analyses using effects-coded scaling constraints, measurement invariance was tested across (a) Spanish only and (b) both US and Spanish age bands (5–6, 7–8, 9–10, 11–12, 13–14, and 15–16). After establishing measurement invariance across the US and Spain, tests for latent means and variance differences within age-bands were only performed for Spanish data; the latent means and variances in the US sample were freely estimated. The study findings suggest that the information in the US data stabilized the overall model parameters, and the inclusion of the US sample did not influence on the norms of the SIS-C Spanish Translation.

Factor Structure and Criterion Validity of Potential-Based Achievement Goals: Evidence for a Bifactor Model

2017 ◽  
Vol 37 (2) ◽  
pp. 239-243
Author(s):  
Hoi Kwan Ning
Keyword(s):  
Factor Structure ◽  
Achievement Goals ◽  
Structural Equation ◽  
Significant Proportion ◽  
Criterion Validity ◽  
Bifactor Model ◽  
Equation Modeling ◽  
General Definition ◽  
Confirmatory Factor Analyses ◽  
Definition Of

Elliot, Murayama, Kobeisy, and Lichtenfeld recently developed a measure to assess students’ self-based potential-approach and potential-avoidance achievement goals. The purpose of this study was to investigate the factor structure and criterion validity of this measure based on data obtained from a sample of Hong Kong university students. Results from confirmatory factor analyses demonstrated that the bifactor model which comprises a general definition of competence factor and two uncorrelated valence of competence group factors yielded the best fit to the data. All three factors accounted for a significant proportion of the common variance and were found to have high internal consistencies. Structural equation modeling also revealed that the general definition factor and the two valence group factors have differential associations with various criterion outcomes examined.

Factor Structure and Measurement Invariance of the MHC-SF in the USA

2019 ◽  
Vol 35 (4) ◽  
pp. 521-525 ◽  
Author(s):  
Mohsen Joshanloo
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Three Dimensional ◽  
Equation Modeling ◽  
American Universities ◽  
Item Functioning ◽  
Confirmatory Factor ◽  
The Usa

Abstract. This study examines the factor structure of the Mental Health Continuum-Short Form (MHC-SF) in a sample of 23,674 students at 26 American universities. The measurement invariance of the scale is also examined across gender, nationality, and sexual orientation. Exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA) are used for data analysis. The results support the three-dimensional factor structure of the scale as well as full or partial measurement invariance across the groups. Results show that Item 13 (related to autonomy) demonstrates differential item functioning across gender.

What’s Driving Me? Exploration and Validation of a Hierarchical Personality Model for Trust in Automated Driving

2020 ◽  
pp. 001872082092265
Author(s):  
Johannes Kraus ◽  
David Scholz ◽  
Martin Baumann
Keyword(s):  
Personality Traits ◽  
User Interfaces ◽  
Structural Equation ◽  
Interpersonal Trust ◽  
A Priori ◽  
Self Esteem ◽  
Equation Modeling ◽  
Automated Driving ◽  
Final Model ◽  
Trust In Automation

Objective This paper presents a comprehensive investigation of personality traits related to trust in automated vehicles. A hierarchical personality model based on Mowen’s (2000) 3M model is explored in a first and replicated in a second study. Background Trust in automation is established in a complex psychological process involving user-, system- and situation-related variables. In this process, personality traits have been viewed as an important source of variance. Method Dispositional variables on three levels were included in an exploratory, hierarchical personality model (full model) of dynamic learned trust in automation, which was refined on the basis of structural equation modeling carried out in Study 1 (final model). Study 2 replicated the final model in an independent sample. Results In both studies, the personality model showed a good fit and explained a large proportion of variance in trust in automation. The combined evidence supports the role of extraversion, neuroticism, and self-esteem at the elemental level; affinity for technology and dispositional interpersonal trust at the situational level; and propensity to trust in automation and a priori acceptability of automated driving at the surface level in the prediction of trust in automation. Conclusion Findings confirm that personality plays a substantial role in trust formation and provide evidence of the involvement of user dispositions not previously investigated in relation to trust in automation: self-esteem, dispositional interpersonal trust, and affinity for technology. Application Implications for personalization of information campaigns, driver training, and user interfaces for trust calibration in automated driving are discussed.

Factor Structure and Measurement Invariance of the Stigma of Suicide Scale–Short Form Among Adolescents and Early Adults in Hong Kong

Assessment ◽  
2020 ◽  
pp. 107319112097685
Author(s):  
Ted C. T. Fong ◽  
Paul S. F. Yip ◽  
Milton Y. H. Chan ◽  
Rainbow T. H. Ho
Keyword(s):  
Hong Kong ◽  
Suicidal Ideation ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Short Form ◽  
Health Concern ◽  
Equation Modeling

Suicide is a global public health concern. The Stigma of Suicide Scale–Short Form (SOSS-SF) is a brief measure on the stigma toward suicide. This study aimed to examine the psychometric properties of the SOSS-SF in a sample of 1,946 adolescents and early adults ( M age = 23.3, 69% females) in Hong Kong. The participants completed the SOSS-SF, measures on suicidal ideation and perceived distress, and binary items on lifetime risk behaviors online. Exploratory structural equation modeling evaluated the factor structure and reliability of the SOSS-SF in split samples and its measurement invariance, convergent validity, and discriminant validity in the overall sample. Contrary to a poor fit for the three-factor structure in the original 16-item SOSS-SF, the four-factor model showed a good fit in the revised 12-item version in both subsamples. The four factors (Glorification, Isolation, Disgrace, and Selfishness) loaded significantly on three items each (λ = .52-.93) and had adequate reliability (ω = .78-.88). The SOSS-SF displayed scalar invariance across age group, gender, and suicidal ideation and significant associations with validating variables. These results demonstrate a valid and reliable four-factor structure for the SOSS-SF and support its use for assessment of multifaceted stigma toward suicide.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

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