Conceptualizing the Factor Structure of Parents’ Math Anxiety and Associations with Children’s Mathematics Skills

There is a growing literature examining the association between parents’ math anxiety and children’s mathematics skills. Previous research has considered parents’ math anxiety as a unidimensional construct that primarily focused on parents’ experiences doing mathematics themselves. However, this research did not account for parents’ experiences when doing mathematics with their children. Thus, there were two goals of the present study: 1) to identify the structure of parents’ math anxiety when considering context-dependent situations, and 2) to determine whether parent math anxiety was related to children’s early numeracy skills. We conducted a series of confirmatory factor analyses using a sample of 155 preschool children (M age = 4.20 years, SD = 0.71; 51% female). The best-fitting model of parents’ math anxiety was a bifactor model, suggesting parents’ math anxiety was best conceptualized as a multidimensional construct. However, structural equation models showed parent math anxiety was not a significant predictor of children’s numeracy performance. These findings provide a foundation for understanding parents’ math anxiety as multidimensional and raise questions about potential mechanisms that may explain prior work finding mixed relations between math anxiety and children’s numeracy performance.

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Improved Representation of the Self-Perception Profile for Children Through Bifactor Exploratory Structural Equation Modeling

American Educational Research Journal ◽

10.3102/0002831216666490 ◽

2016 ◽

Vol 54 (1) ◽

pp. 59-87 ◽

Cited By ~ 8

Author(s):

A. Katrin Arens ◽

Alexandre J. S. Morin

Keyword(s):

Structural Equation ◽

Structural Equation Models ◽

The Self ◽

Equation Modeling ◽

Self Perception ◽

Confirmatory Factor Analyses ◽

Confirmatory Factor ◽

Hierarchical Nature ◽

Mean Differences ◽

Best Fit

This study illustrates an integrative psychometric framework to investigate two sources of construct-relevant multidimensionality in answers to the Self-Perception Profile for Children (SPPC). Using a sample of 2,353 German students attending Grades 3 to 6, we contrasted: (a) first-order versus hierarchical and bifactor models to investigate construct-relevant multidimensionality related to the hierarchical nature of multidimensional self-conceptions and (b) confirmatory factor analyses (CFA) and exploratory structural equation models (ESEM) to investigate construct-relevant multidimensionality related to the assessment of conceptually related constructs. The bifactor-ESEM solution provided the best fit, suggesting the presence of both sources of construct-relevant psychometric multidimensionality. The results supported measurement invariance of the SPPC across gender and grade level and showed latent mean differences mostly supporting results from previous research.

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Maternal and paternal parenting styles as a whole: validation of the simple form of the Parenting Style Evaluation Scale

Anales de Psicología ◽

10.6018/analesps.408171 ◽

2021 ◽

Vol 37 (1) ◽

pp. 77-87

Author(s):

Álvaro Balaguer ◽

Edgar Benitez ◽

Jesus De la Fuente ◽

Alfonso Osorio

Keyword(s):

Academic Achievement ◽

Parenting Style ◽

Parenting Styles ◽

Simple Form ◽

Structural Equation ◽

Structural Equation Models ◽

Factor Analyses ◽

Confirmatory Factor Analyses ◽

Adolescent Outcomes ◽

Confirmatory Factor

La Escala para la Evaluación del Estilo Parental (EEEP) pregunta a los adolescentes sobre los estilos educativos de sus padres por separado (“tu padre” y “tu madre”) o de forma conjunta (“tus padres”), pero solo se ha evaluado la validez en la versión por separado. El objetivo de este trabajo fue evaluar la validez de las inferencias de la versión conjunta. Se reclutó una muestra de 1507 adolescentes, de 12 a 18 años. Se realizaron análisis factoriales exploratorios y confirmatorios en dos submuestras independientes. Después se probó un modelo de ecuaciones estructurales para comprobar la asociación de las subescalas de la EEEP con desenlaces de los adolescentes (optimismo, pesimismo y resultados académicos). Los resultados muestran buenas medidas de ajuste de la estructura del instrumento. Además, las subescalas mostraron asociación con los desenlaces. La EEEP puede ser usada con fiabilidad en su forma conjunta, resultando en una reducción de ítems, los cual es a menudo beneficioso para la investigación Oliva’s Escala para la Evaluación del Estilo Parental (EEEP) [Scale for the evaluation of parenting styles] asks adolescents about their parents’ education styles separately (“your father” and “your mother”) or in a combined way (“your parents”), but only the separated version has been tested for validity. The objective of this work was to carry out a validation of the combined version. A sample of 1507 adolescents, aged 12 to 18 years, was recruited. Exploratory and confirmatory factor analyses were run in two independent subsamples. Then, structural equation models (SEM) were run in order to test the association between the EEEP’s subscales and adolescent outcomes (optimism, pessimism, and academic achievement). Results showed a good fit of the instruments’ structure. Furthermore, the subscales showed associations with the outcomes. The EEEP can be reliably used in its combined form, which results in a reduction of items, often beneficial for research.

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Math Anxiety, Engagement, and Performance in High and Low-stakes Tests in AP Statistics

10.31234/osf.io/qym9h ◽

2021 ◽

Author(s):

Teresa Ober ◽

Alex Brodersen ◽

Daniella Alves Reboucas ◽

Maxwell Hong ◽

Matt Carter

Keyword(s):

High School Students ◽

Structural Equation ◽

Math Anxiety ◽

Structural Equation Models ◽

Learning Outcome ◽

School Students ◽

High Stakes ◽

Confirmatory Factor ◽

Course Engagement ◽

And Performance

We examined direct and indirect relations between engagement-related constructs, math anxiety, and learning outcomes. Confirmatory factor analysis was first used to validate scores from measures of these constructs with a sample of high school students enrolled in AP Statistics (N = 696, Mean age = 16.7 years, SD = .90). Structural equation models were fitted to examine relations between these constructs on a subsample that completed all measures (N = 219). A greater proportion of variation was explained in a high-stakes learning outcome (R2 = .54) than a low-stakes learning outcome (R2 = .22). We found evidence of indirect effects of academic procrastination and course engagement on the learning outcome through math anxiety. The findings shed light on opportunities for intervention on academic maladaptive behaviors, such as procrastination, which could lessen their effect on math anxiety and thus better facilitate learning. Further, these findings highlight the importance of testing stakes when examining associations between engagement, math anxiety, and learning.

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A Cautionary Note on Incremental Fit Indices Reported by LISREL

Methodology ◽

10.1027/1614-1881.1.2.81 ◽

2005 ◽

Vol 1 (2) ◽

pp. 81-85 ◽

Cited By ~ 5

Author(s):

Stefan C. Schmukle ◽

Jochen Hardt

Keyword(s):

Factor Analysis ◽

Maximum Likelihood ◽

Structural Equation ◽

Structural Equation Models ◽

Null Model ◽

Likelihood Estimation ◽

Parameter Estimates ◽

Fit Indices ◽

Cautionary Note ◽

Confirmatory Factor

Abstract. Incremental fit indices (IFIs) are regularly used when assessing the fit of structural equation models. IFIs are based on the comparison of the fit of a target model with that of a null model. For maximum-likelihood estimation, IFIs are usually computed by using the χ2 statistics of the maximum-likelihood fitting function (ML-χ2). However, LISREL recently changed the computation of IFIs. Since version 8.52, IFIs reported by LISREL are based on the χ2 statistics of the reweighted least squares fitting function (RLS-χ2). Although both functions lead to the same maximum-likelihood parameter estimates, the two χ2 statistics reach different values. Because these differences are especially large for null models, IFIs are affected in particular. Consequently, RLS-χ2 based IFIs in combination with conventional cut-off values explored for ML-χ2 based IFIs may lead to a wrong acceptance of models. We demonstrate this point by a confirmatory factor analysis in a sample of 2449 subjects.

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Brazilian Adaptation of the Coronavirus Anxiety Scale: A Psychometric Investigation of a Measure of Coronaphobia

OMEGA - Journal of Death and Dying ◽

10.1177/0030222821991325 ◽

2021 ◽

pp. 003022282199132

Author(s):

Fernando E. Padovan-Neto ◽

Sherman A. Lee ◽

Rayanne Poletti Guimarães ◽

Lívea Dornela Godoy ◽

Hugo Bononi Costa ◽

...

Keyword(s):

Functional Impairment ◽

Anxiety Scale ◽

Younger Adults ◽

Confirmatory Factor Analyses ◽

Discrimination Ability ◽

Cut Score ◽

Confirmatory Factor ◽

History Of ◽

Unidimensional Construct ◽

Psychometric Investigation

This study examined the psychometric properties of a Brazilian adapted version of the Coronavirus Anxiety Scale (CAS-BR) in a sample of adults in Brazil. Confirmatory factor analyses demonstrated that the CAS-BR produces a reliable (α = .84), unidimensional construct whose structure was shown to be invariant across gender, race, and age. However, some items of the CAS-BR were stronger indicators of the coronavirus anxiety construct for women and younger adults. Although the CAS-BR demonstrated evidence of discrimination ability for functional impairment (AUC = .77), Youden indexes were low to identify a clinical cut-score. Construct validity was demonstrated with correlations between CAS-BR scores and measures of functional impairment, generalized anxiety, and depression. Exploratory analyses revealed that CAS-BR total scores were higher among women and participants with a history of anxiety disorder. These findings are consistent with previous investigations and support the validity of CAS-BR for measuring coronavirus anxiety with Brazilian adults.

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Volition to transfer: mastering obstacles in training transfer

Personnel Review ◽

10.1108/pr-08-2015-0202 ◽

2017 ◽

Vol 46 (4) ◽

pp. 809-823 ◽

Cited By ~ 9

Author(s):

Christian Seiberling ◽

Simone Kauffeld

Keyword(s):

Structural Equation ◽

Transfer Of Training ◽

Structural Equation Models ◽

Training Transfer ◽

Bootstrap Analysis ◽

Content Type ◽

Confirmatory Factor ◽

Motivation To Transfer ◽

Practical Implications

Purpose The purpose of this paper is to seek a better understanding of the role of volition in the learning transfer system beyond the well-established concept of motivation to transfer. Design/methodology/approach Participants of a two-day leadership training were asked to complete two online questionnaires (t1 directly after training, t2 eight weeks after training). In total, 891 managers answered the first questionnaire, 465 the second. Findings Confirmatory factor analysis suggests that motivation and volition to transfer are perceived as two different constructs. Hierarchical linear regression shows that additional variance in training transfer can be explained when volition to transfer is taken into account. Structural equation models and bootstrap analysis suggest that both motivation and volition to transfer mediate effects of supervisor support and trainer performance on training transfer. Research limitations/implications The results imply that besides motivation to transfer, volition to transfer may be a relevant construct in the transfer of training. It remains to be tested how far these findings can be generalized to other training settings beside leadership trainings. Practical implications Organizations aiming at improving training transfer should focus on enhancing the participants’ motivation and volition to transfer. Both trainers and supervisors seem to promote transfer of training by influencing a trainee’s motivation to transfer and volition to transfer. Originality/value To the authors’ knowledge, this is the first study to systematically examine the role of volition in training transfer.

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Examining the ParticipACTION brand using the brand equity pyramid

Journal of Social Marketing ◽

10.1108/jsocm-11-2017-0071 ◽

2018 ◽

Vol 8 (4) ◽

pp. 378-396 ◽

Cited By ~ 3

Author(s):

Alexander Lithopoulos ◽

Peter A. Dacin ◽

Tanya R. Berry ◽

Guy Faulkner ◽

Norm O’Reilly ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Exploratory Factor Analysis ◽

Brand Equity ◽

Structural Equation ◽

Structural Equation Models ◽

Equation Modeling ◽

Content Type ◽

Activity Promotion ◽

Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

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Conﬁrmatory Factor Analysis and Structural Equation Models

Analysis of Multivariate Social Science Data ◽

10.1201/b15114-13 ◽

2008 ◽

pp. 301-336

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Structural Equation ◽

Structural Equation Models ◽

Confirmatory Factor

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Satisfied, but Will They Spread a Word? The Role of Customer Satisfaction at Jamu Café

Binus Business Review ◽

10.21512/bbr.v9i1.3915 ◽

2018 ◽

Vol 9 (1) ◽

pp. 1

Author(s):

Usep Suhud ◽

Sheila Maryam Bajunaid

Keyword(s):

Customer Satisfaction ◽

Service Quality ◽

Structural Equation ◽

Word Of Mouth ◽

Equation Model ◽

Repurchase Intention ◽

Factor Analyses ◽

Confirmatory Factor Analyses ◽

Confirmatory Factor

This research aimed to investigate consumers’ intention to repurchase jamu at Jamu Café. Service quality, customer satisfaction, and Word-of-Mouth (WOM) were selected as the predictor variables. In total, 200 participants who purchased jamu at the café were selected conveniently. Data were analyzed using exploratory and confirmatory factor analyses as well as Structural Equation Model (SEM). As a result, service quality influences customer satisfaction significantly. As customers are satisfied, they do word-of-mouth and repurchase. On the other hand, WOM has an insignificant impact on repurchase intention.

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