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 Psychometric Properties of the Adult Self-Report: Data from over 11,000 American Adults

Stats ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 465-474
Author(s):  
Michelle Guerrero ◽  
Matt Hoffmann ◽  
Laura Pulkki-Råback
Keyword(s):  
Measurement Invariance ◽  
Structural Equation ◽  
Age Groups ◽  
Self Report ◽  
Equation Modeling ◽  
Future Research ◽  
Fit Indices ◽  
Invariance Testing ◽  
Report Data ◽  
Self Report Data

The first purpose of this study was to examine the factor structure of the Adult Self-Report (ASR) via traditional confirmatory factor analysis (CFA) and contemporary exploratory structural equation modeling (ESEM). The second purpose was to examine the measurement invariance of the ASR subscales across age groups. We used baseline data from the Adolescent Brain Cognitive Development study. ASR data from 11,773 participants were used to conduct the CFA and ESEM analyses and data from 11,678 participants were used to conduct measurement invariance testing. Fit indices supported both the CFA and ESEM solutions, with the ESEM solution yielding better fit indices. However, several items in the ESEM solution did not sufficiently load on their intended factors and/or cross-loaded on unintended factors. Results from the measurement invariance analysis suggested that the ASR subscales are robust and fully invariant across subgroups of adults formed on the basis of age (18–35 years vs. 36–59 years). Future research should seek to both CFA and ESEM to provide a more comprehensive assessment of the ASR.

Beyond the positive reinforcement of aggression

2016 ◽  
Vol 42 (1) ◽  
pp. 73-82 ◽  
Author(s):  
Janis Jung ◽  
Barbara Krahé ◽  
Robert Busching
Keyword(s):  
Aggressive Behaviour ◽  
Positive Reinforcement ◽  
Structural Equation ◽  
Peer Acceptance ◽  
Community Sample ◽  
Age Groups ◽  
Control Beliefs ◽  
Equation Modeling ◽  
External Control ◽  
Childhood And Adolescence

Being surrounded by peers who are accepting of aggression is a significant predictor of the development and persistence of aggression in childhood and adolescence. Whereas past research has focused on social reinforcement mechanisms as the underlying processes, the present longitudinal study analysed the role of external control beliefs as an additional mediator explaining the link between peers’ acceptance of aggression and the development of aggressive behaviour. Drawing on a large community sample of N = 1,466 male and female children and adolescents from Germany aged between 10 and 18 years, results of latent structural equation modeling were consistent with the hypotheses that peer acceptance of aggression would predict external control beliefs in the social domain, which in turn, should predict aggressive behaviour over time. Additional multigroup analyses showed that the predicted pathways were consistent across gender and age groups.

scholarly journals Validation and measurement invariance of the Occupational Depression Inventory in South Africa

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261271
Author(s):  
Carin Hill ◽  
Leon T. de Beer ◽  
Renzo Bianchi
Keyword(s):  
South Africa ◽  
Measurement Invariance ◽  
South African ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Age Groups ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
African Context

This study aimed to validate the recently developed Occupational Depression Inventory (ODI) in South Africa. A total of 327 employees (60% female) participated in the study. Bifactor exploratory structural equation modeling analysis indicated that the ODI can be considered essentially unidimensional. The ODI displayed strong scalability (e.g., scale-level H = 0.657). No monotonicity violation was detected. The reliability of the instrument, as indexed by Cronbach’s alpha, McDonald’s omega-total, Guttman’s λ2, and the Molenaar-Sijtsma statistic, was highly satisfactory. Measurement invariance was observed across age groups, sexes, and ethnicities, as well as between our sample and the ODI’s original validation sample. As expected, the ODI showed both a degree of convergent validity and a degree of discriminant validity vis-à-vis a measure of “cause-neutral” depressive symptoms. Moreover, the ODI manifested substantial associations, in the anticipated directions, with measures of work engagement, job satisfaction, and life satisfaction. Overall, the ODI exhibited excellent structural and psychometric properties within the South African context. Consistent with previous research, this study suggests that occupational health specialists can confidently rely on the ODI to investigate job-related distress.

Investigating the Multidimensionality and Psychometric Properties of the Children’s Anger Rumination Scale (CARS): A Bifactor Exploratory Structural Equation Modeling Framework

Assessment ◽  
2021 ◽  
pp. 107319112110435
Author(s):  
Elli Spyropoulou ◽  
Theodoros Giovazolias
Keyword(s):  
Psychometric Properties ◽  
Measurement Invariance ◽  
Psychosocial Functioning ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Factorial Structure ◽  
Modeling Framework ◽  
Convenience Sample ◽  
Anger Rumination

Anger Rumination (AR) represents a maladaptive cognitive process that contributes negatively to psychosocial functioning. The purpose of the present study was to investigate the psychometric properties (e.g., factorial structure, measurement invariance, and reliability) of the Children’s Anger Rumination Scale (CARS). Factorial structure was tested by contrasting alternative model representations of the instrument (one- and four-factor independent cluster models–confirmatory factor analysis [ICM-CFA], exploratory structural equation modelling [ESEM], bifactor-CFA and bifactor-ESEM) in a convenience sample of 552 Greek students ( Mage = 11.50 years; 53.6% girls). The hypothesized bifactor-ESEM solution, composed by a general anger rumination factor and four specific factors (Angry Afterthoughts, Thoughts of Revenge, Angry Memories, and Understanding of Causes) provided the best fit to the data and revealed the unitary dimensionality of the CARS. Measurement invariance across gender and age in level of the latent means indicated no significant differences in relation to AR tendency. The CARS showed internal consistency, one-month test–retest reliability as well as desirable patterns of convergent and discriminant validity. The predictive power of the instrument was also supported as participants’ AR propensity was found to explain both depressive symptoms and bullying behaviors. Overall, our findings indicate that the CARS is a developmentally appropriate and psychometrically sound instrument that conceptualizes AR as an unidimensional construct among children and preadolescents.

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.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

The Affiliative Role of Empathy in Everyday Interpersonal Interactions

2019 ◽  
Author(s):  
Whitney R. Ringwald ◽  
Aidan G.C. Wright
Keyword(s):  
Individual Differences ◽  
Structural Equation ◽  
Community Sample ◽  
Empirical Support ◽  
Interpersonal Behavior ◽  
Equation Modeling ◽  
Experimental Conditions ◽  
Student Sample ◽  
Ecological Momentary

Empathy theoretically serves an affiliative interpersonal function by satisfying motives for intimacy and union with others. Accordingly, empathy is expected to vary depending on the situation. Inconsistent empirical support for empathy’s affiliative role may be due to methodology focused on individual differences in empathy or differences between controlled experimental conditions, which fail to capture its dynamic and interpersonal nature. To address these shortcomings, we used ecological momentary assessment to establish typical patterns of empathy across everyday interactions. Associations among empathy, affect, and interpersonal behavior of self and interaction partner were examined in a student sample (N=330), then replicated in a pre-registered community sample (N=279). Multi-level structural equation modeling was used to distinguish individual differences in empathy from interaction-level effects. Results show people are more empathetic during positively-valanced interactions with others perceived as warm and when expressing warmth. By confirming the typically affiliative role of empathy, existing research to the contrary can be best understood as exceptions to the norm.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

Examination of customer-centric measures among different types of customers in the context of major Canadian ski resort

2018 ◽  
Vol 30 (2) ◽  
pp. 438-459
Author(s):  
Matti J. Haverila ◽  
Kai Christian Haverila
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
A Priori ◽  
Equation Modeling ◽  
Marketing Practice ◽  
Content Type ◽  
Ski Resort ◽  
Different Types ◽  
Managerial Implications ◽  
Satisfaction Model

Purpose Customer-centric measures such as customer satisfaction and repurchase intent are important indicators of performance. The purpose of this paper is to examine what is the strength and significance of the path coefficients in a customer satisfaction model consisting of various customer-centric measures for different types of ski resort customer (i.e. day, weekend and ski holiday visitors as well as season pass holders) in a ski resort in Canada. Design/methodology/approach The results were analyzed using the partial least squares structural equation modeling approach for the four different types ski resort visitors. Findings There appeared to differences in the strength and significance in the customer satisfaction model relationships for the four types of ski resort visitors indicating that the a priori managerial classification of the ski resort visitors is warranted. Originality/value The research pinpoints differences in the strength and significance in the relationships between customer-centric measures for four different types ski resort visitors, i.e. day, weekend and ski holiday visitors as well as season pass holders, which have significant managerial implications for the marketing practice of the ski resort.

scholarly journals Using structural equation modeling in the understanding of functional disability in older adults

2021 ◽  
Vol 29 ◽  
Author(s):  
Darlene Mara dos Santos Tavares ◽  
Nayara Gomes Nunes Oliveira ◽  
Flavia Aparecida Dias Marmo ◽  
Joilson Meneguci
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Structural Equation ◽  
Functional Disability ◽  
Depressive Symptomatology ◽  
Age Groups ◽  
Community Dwelling ◽  
Likelihood Method ◽  
Equation Modeling ◽  
Cross Sectional

Objective: to analyze functional disability and its associated factors among community-dwelling older adults. Method: a cross-sectional study, conducted with 1,635 older adults distributed in the following age groups: 60 to 69, 70 to 79, and 80 years old or more, living in a health macro-region of the state of Minas Gerais. Descriptive and trajectory analysis was carried out (p<0.05). The parameters were estimated by the Maximum Likelihood method. Results: the highest percentage was female, with a monthly income of 1 minimum wage and living with a companion. In the age groups from 60 to 69 and from 70 to 79 years old, older adults with a partner predominated; and, among those aged 80 years old or more, widowed individuals prevailed. In the three groups, functional disability occurred hierarchically. Lower schooling, frailty and depressive symptomatology were factors directly associated with functional disability in the advanced activities; frailty and sedentary behavior were directly associated with functional disability in the instrumental activities. In the older adults aged between 60 and 69 years old and from 70 to 79 years old, sedentary behavior was associated with greater dependence on the basic activities. Conclusion: the expanded understanding of the factors in the functional disability of the older adults, according to age group, helps the health professional in the development of preventive measures for this disease.

Sign in / Sign up

Export Citation Format

Share Document