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Using bifactor exploratory structural equation modeling to examine global and specific factors in measures of sports coaches' interpersonal styles.

Stenling A, Ivarsson A, Hassmén P, Lindwall M - Front Psychol (2015)

Bottom Line: A recently proposed bifactor exploratory structural equation modeling (ESEM) framework was employed to achieve this aim.In Study 1, using a sample of floorball players, the results indicated that the ISS-C can be considered as a unidimensional measure, with one global factor explaining most of the variance in the items.In Study 2, using a sample of male ice hockey players, the results indicated that the items in the CCBS are represented by both a general factor and specific factors, but the subscales differ with regard to the amount of variance in the items accounted for by the general and specific factors.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology, Umeå University Umeå, Sweden.

ABSTRACT
In the present work we investigated distinct sources of construct-relevant psychometric multidimensionality in two sport-specific measures of coaches' need-supportive (ISS-C) and controlling interpersonal (CCBS) styles. A recently proposed bifactor exploratory structural equation modeling (ESEM) framework was employed to achieve this aim. In Study 1, using a sample of floorball players, the results indicated that the ISS-C can be considered as a unidimensional measure, with one global factor explaining most of the variance in the items. In Study 2, using a sample of male ice hockey players, the results indicated that the items in the CCBS are represented by both a general factor and specific factors, but the subscales differ with regard to the amount of variance in the items accounted for by the general and specific factors. These results add further insight into the psychometric properties of these two measures and the dimensionality of these two constructs.

No MeSH data available.


Graphical representation of the alternative models tested in these two studies. The top three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the ISS-C. Bottom three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the CCBS. Dotted lines represent non-target loadings. CUR, controlling use of rewards; NCR, negative conditional regard; INT, intimidation; and ECP, excessive personal control.
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Figure 1: Graphical representation of the alternative models tested in these two studies. The top three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the ISS-C. Bottom three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the CCBS. Dotted lines represent non-target loadings. CUR, controlling use of rewards; NCR, negative conditional regard; INT, intimidation; and ECP, excessive personal control.

Mentions: We used a model testing procedure proposed by Morin et al. (2015). This procedure allowed us to investigate two sources of construct-relevant psychometric multidimensionality related to the co-existence of global and specific components within the same measurement model and the fallible nature of indicators which tend to include at least some degree of association with non-target constructs. We started by specifying and comparing first-order ICM–CFA with first-order ESEM models to examine the presence of cross-loadings of conceptually related or overlapping constructs. Based on the results in the first step (ICM–CFA vs. ESEM), the second step aimed to identify the presence of construct-relevant multidimensionality due to the presence of hierarchically superior constructs using bifactor models. The ICM–CFA, ESEM, and bifactor ESEM models are graphically depicted in Figure 11.


Using bifactor exploratory structural equation modeling to examine global and specific factors in measures of sports coaches' interpersonal styles.

Stenling A, Ivarsson A, Hassmén P, Lindwall M - Front Psychol (2015)

Graphical representation of the alternative models tested in these two studies. The top three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the ISS-C. Bottom three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the CCBS. Dotted lines represent non-target loadings. CUR, controlling use of rewards; NCR, negative conditional regard; INT, intimidation; and ECP, excessive personal control.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4555658&req=5

Figure 1: Graphical representation of the alternative models tested in these two studies. The top three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the ISS-C. Bottom three are the ICM-CFA, first-order ESEM, and bifactor ESEM of the CCBS. Dotted lines represent non-target loadings. CUR, controlling use of rewards; NCR, negative conditional regard; INT, intimidation; and ECP, excessive personal control.
Mentions: We used a model testing procedure proposed by Morin et al. (2015). This procedure allowed us to investigate two sources of construct-relevant psychometric multidimensionality related to the co-existence of global and specific components within the same measurement model and the fallible nature of indicators which tend to include at least some degree of association with non-target constructs. We started by specifying and comparing first-order ICM–CFA with first-order ESEM models to examine the presence of cross-loadings of conceptually related or overlapping constructs. Based on the results in the first step (ICM–CFA vs. ESEM), the second step aimed to identify the presence of construct-relevant multidimensionality due to the presence of hierarchically superior constructs using bifactor models. The ICM–CFA, ESEM, and bifactor ESEM models are graphically depicted in Figure 11.

Bottom Line: A recently proposed bifactor exploratory structural equation modeling (ESEM) framework was employed to achieve this aim.In Study 1, using a sample of floorball players, the results indicated that the ISS-C can be considered as a unidimensional measure, with one global factor explaining most of the variance in the items.In Study 2, using a sample of male ice hockey players, the results indicated that the items in the CCBS are represented by both a general factor and specific factors, but the subscales differ with regard to the amount of variance in the items accounted for by the general and specific factors.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology, Umeå University Umeå, Sweden.

ABSTRACT
In the present work we investigated distinct sources of construct-relevant psychometric multidimensionality in two sport-specific measures of coaches' need-supportive (ISS-C) and controlling interpersonal (CCBS) styles. A recently proposed bifactor exploratory structural equation modeling (ESEM) framework was employed to achieve this aim. In Study 1, using a sample of floorball players, the results indicated that the ISS-C can be considered as a unidimensional measure, with one global factor explaining most of the variance in the items. In Study 2, using a sample of male ice hockey players, the results indicated that the items in the CCBS are represented by both a general factor and specific factors, but the subscales differ with regard to the amount of variance in the items accounted for by the general and specific factors. These results add further insight into the psychometric properties of these two measures and the dimensionality of these two constructs.

No MeSH data available.