Recommendations for improving the construct clarity of higher-order multidimensional constructs

Johnson, Russell E.; Rosen, Christopher C.; Chang, Chu Hsiang; Djurdjevic, Emilija; Taing, Meng U.

doi:10.1016/j.hrmr.2011.11.006

Cited by 140 publications

(151 citation statements)

References 58 publications

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“…Thus, we had to reject both hypotheses: CSE did not affect the impact of positive or negative feedback. Possibly, CSE represents too broad a factor and thus, a less specific variable to moderate the power of feedback Johnson et al, 2012). Previous studies mostly demonstrated small effects of personality traits on the impact of feedback interventions (Hattie, Timperley, 2007;Kluger, DeNisi, 1996;Mory, 2004).…”

Section: Discussionmentioning

confidence: 99%

Individual Differences Concerning the Impact of Feedback Specifying the Role of Core Self-Evaluations

Krenn¹,

Wuerth²,

Hergovich³

2013

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Abstract:The impact of feedback on performance turned out to be inconsistent with respect to the significance of a wide range of moderating variables. Concerning personality traits, generalized self-efficacy, self-esteem, locus of control, and emotional stability have been shown to affect the processing of feedba ck. So far, feedback research has observed these traits in isolation, neglecting their interrelations. This study was carried out to investigate the impact of an integrative, higher order concept including these traits (termed as core self-evaluations) on the effects of feedback interventions. Participants (N = 471) received manipulated positive, negative or no feedback (control group) in the scope of two test performances conducted on the computer. Confirmatory factor analysis corroborated the concept of core self-evaluations. Repeated measures ANOVA did not reveal an effect of core self-evaluations on the impact of feedback. Considering the single traits, solely self-esteem turned out to affect the power of feedback.

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Section: Discussionmentioning

confidence: 99%

Individual Differences Concerning the Impact of Feedback Specifying the Role of Core Self-Evaluations

Krenn¹,

Wuerth²,

Hergovich³

2013

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“…Due to the fact that all data were self-reported and collected single-source data at one point in time, common method bias could be an issue. Future researchers should adopt a temporal separation procedure to lessen the risk of common method bias [69]. Future researches could consider a longitudinal design due to the cross-sectional design of this research.…”

Section: Limitations and Suggestions For Future Researchmentioning

confidence: 99%

Antecedents of Corporate Reputation in the Hotel Industry: The Moderating Role of Transparency

Kim

2017

Sustainability

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Abstract:In this study, we developed a theoretical framework in which corporate social responsibility, corporate ability, customer trust and satisfaction, and corporate reputation by considering the influence of transparency as a moderator. The proposed hypotheses were empirically tested using data collected from 487 U.S. consumers via structural equation modeling. The results indicated that perceived corporate social responsibility and corporate ability significantly affected overall customer satisfaction and trust. In turn, customer trust and satisfaction have positive effects on perceptions about corporate reputation. Lastly, this study found that transparency as a significant moderator. This research will contribute to the development of a robust and comprehensive theoretical model that integrates existing frameworks and concepts within the hotel industry.

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“…It should be noted that a key requirement for defining and operationalizing multidimensional constructs is that they should be derived from theory and theory should indicate the number of (sub)dimensions and their relationship to the higher-order construct (Johnson et al, 2012;MacKenzie et al, 2011;Polites et al, 2012). A number of rationales have been brought forward to advocate the use of these hierarchical latent variable models over the use of models consisting solely of lower-order dimensions (e.g., Edwards, 2001;Johnson et al, 2012;Wetzels et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…A number of rationales have been brought forward to advocate the use of these hierarchical latent variable models over the use of models consisting solely of lower-order dimensions (e.g., Edwards, 2001;Johnson et al, 2012;Wetzels et al, 2009). Proponents of the use of higher-order constructs have argued that they allow for more theoretical parsimony and reduce model complexity.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models

Becker¹,

Klein²,

Wetzels³

2012

Long Range Planning

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1,308

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Recommendations for improving the construct clarity of higher-order multidimensional constructs

Cited by 140 publications

References 58 publications

Individual Differences Concerning the Impact of Feedback Specifying the Role of Core Self-Evaluations

Individual Differences Concerning the Impact of Feedback Specifying the Role of Core Self-Evaluations

Antecedents of Corporate Reputation in the Hotel Industry: The Moderating Role of Transparency

Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models

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