A Note on the Use of Item Parceling in Structural Equation Modeling with Missing Data

Orçan, Fatih; Yang, Yanyun

doi:10.21031/epod.88204

Cited by 21 publications

(25 citation statements)

References 29 publications

(65 reference statements)

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“…An alternative approach is using Multiple Imputation (MI) to estimate missing data. Finally, when data are MNAR, item parcels may be useful (see Orcan, 2013); though for the novice practitioner, SEM would not be recommended (Allison, 2003).…”

Section: Data-related Assumptionsmentioning

confidence: 99%

Best Practice Recommendations for Using Structural Equation Modelling in Psychological Research

Morrison¹,

McCutcheon²

2017

PSYCH

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Although structural equation modelling (SEM) is a popular analytic technique in the social sciences, it remains subject to misuse. The purposes of this paper are to assist psychologists interested in using SEM by: 1) providing a brief overview of this method; and 2) describing best practice recommendations for testing models and reporting findings. We also outline several resources that psychologists with limited familiarity about SEM may find helpful.

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Section: Data-related Assumptionsmentioning

confidence: 99%

Best Practice Recommendations for Using Structural Equation Modelling in Psychological Research

Morrison¹,

McCutcheon²

2017

PSYCH

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“…The MLR (e.g., full information maximum likelihood (FIML) estimation method also works well with missing data (Orcan, 2013 All variables were significant except for Masculine. That is, the distribution shapes of the variables were significantly different from a normal distribution.…”

Section: Discussionmentioning

confidence: 98%

Ambivalent sexism as a mediator for sex role orientation and gender stereotypes in romantic relationships: A study in Turkey

2017

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The present study examined the mediating effects of ambivalent sexism (hostile and benevolent) in the relationship between sex role orientation (masculinity and femininity) and gender stereotypes (dominance and assertiveness) in college students. The variables were measured using the Bem Sex Role Inventory (BSRI), the Ambivalent Sexism Inventory (ASI), and the Attitudes toward Gender Stereotypes in Romantic Relationships Scale (AGSRRS). These inventories were administered to 250 undergraduate students at Istanbul University in Istanbul and Suleyman Demirel University in Isparta, Turkey. Results indicate that benevolent sexism mediates the relationship between hostile sexism and male dominance. Benevolent sexism also mediates femininity and male dominance, as well as femininity and male assertiveness. Hostile sexism was mediated only between the masculine personality trait and benevolent sexism. The present findings expand the literature on sex role orientation by revealing evidence that masculine and feminine individuals experience ambivalent sexism distinctively. The results are discussed in terms of the assumptions of sex role orientation, ambivalent sexism, and gender stereotypes.

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“…Before fitting the hypothesized structural model, the measurement model was evaluated to ensure that all six latent variables were adequately represented by their items or subscales (parcels). Use of item parceling for a subscale in structural equation modeling yields as good as or slightly better results than does the use of item level as an indicator [40,43]. The six latent factors were allowed to co-vary, where SC productivity was represented by 4 items, SC self-efficacy was represented by 3 subscales, SC mentoring practices by 3 subscales, science identity by 4 items, SC outcome expectations by 5 items, and career intention by 2 items.…”

Section: Discussionmentioning

confidence: 99%

The role of scientific communication in predicting science identity and research career intention

et al. 2020

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The number of biomedical sciences PhDs persisting in academic faculty careers has been declining. As one potential influence on trainees' intention to persist, we investigate the development of scientific communication (SC) skills, hypothesizing that attitudes and behaviors regarding scientific writing, speaking, and presenting predict academic research career intention, through science identity. After adapting a social-cognitive career theoretical model of SC to include science identity and mentor practices, we conducted a longitudinal survey of 185 doctoral and postdoctoral fellows. Structural equation modeling was used to examine relationships among SC productivity, SC self-efficacy, SC outcome expectations, mentor practices in SC, science identity, and research career intention. Results confirmed the overall model and revealed additional specific pathways: SC productivity and SC outcome expectations directly predicted career intention; SC productivity and mentor practices predicted science identity through SC self-efficacy. Demographic factors did not predict intention when controlling for SC variables. Findings support a model of SC skill development as a predictor of research career intention (R 2 = .32). The finding that SC language use predicts science identity has important sociolinguistic implications. The key factors in this process are actionable at the trainee, mentor, and institutional levels, suggesting potential for SC interventions to increase career persistence.

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A Note on the Use of Item Parceling in Structural Equation Modeling with Missing Data

Cited by 21 publications

References 29 publications

Best Practice Recommendations for Using Structural Equation Modelling in Psychological Research

Best Practice Recommendations for Using Structural Equation Modelling in Psychological Research

Ambivalent sexism as a mediator for sex role orientation and gender stereotypes in romantic relationships: A study in Turkey

The role of scientific communication in predicting science identity and research career intention

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