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Factor structure of the Communicator Styles Measure (CSM) when used with undergraduate health science students.

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Title: Factor structure of the Communicator Styles Measure (CSM) when used with undergraduate health science students.
Authors: Brown, Ted, Boyle, Malcolm, Williams, Brett, Molloy, Andrew, McKenna, Lisa, Palermo, Claire, Molloy, Liz
Source: Scandinavian Journal of Caring Sciences. Jun2013, Vol. 27 Issue 2, p363-372. 10p. 1 Diagram, 5 Charts.
Subjects: Communicative competence, Factor analysis, Medical education, Scales (Weighing instruments), Self-evaluation, Data analysis software, Descriptive statistics
Abstract: Scand J Caring Sci; 2013; 27; 363-372 Factor structure of the Communicator Styles Measure (CSM) when used with undergraduate health science students Background: It is important for educators to consider the communication skills of students enrolled in health science programmes. To date, research into this area is limited, and having measures that are valid and reliable would assist educators and researchers to complete high-quality investigations. Purpose: The purpose of this study was to investigate the factor structure of Communicator Styles Measure. Method: Data from the Communicator Styles Measure completed by 860 undergraduate health science students enrolled in eight different courses at an Australian university (response rate of 59%) were analysed using principal component analysis with varimax rotation and a cluster analysis using elementary linkage analysis. The Communicator Styles Measure is a self-report scale consisting of 40 items designed to assess ten communication styles and one's perception of his/her ability to communicate. Results: Communicator Styles Measure items loaded onto five new viable factors labelled personable, energetic, confident, open and confronting. Six items of the original 40 from the Communicator Styles Measure did not load onto any factor and were therefore considered redundant. Conclusion: The original factor structure proposed by the Communicator Styles Measure's author was not supported, which calls into question its construct validity. However, the five new factors identified in this study may be useful for researchers and educators when assessing the communication skills of students and practitioners. Further investigation into the construct validity and reliability of the five new Communicator Styles Measure factors is recommended. [ABSTRACT FROM AUTHOR]
Copyright of Scandinavian Journal of Caring Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Factor structure of the Communicator Styles Measure (CSM) when used with undergraduate health science students.
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  Data: <searchLink fieldCode="JN" term="%22Scandinavian+Journal+of+Caring+Sciences%22">Scandinavian Journal of Caring Sciences</searchLink>. Jun2013, Vol. 27 Issue 2, p363-372. 10p. 1 Diagram, 5 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Communicative+competence%22">Communicative competence</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+education%22">Medical education</searchLink><br /><searchLink fieldCode="DE" term="%22Scales+%28Weighing+instruments%29%22">Scales (Weighing instruments)</searchLink><br /><searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink>
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  Data: Scand J Caring Sci; 2013; 27; 363-372 Factor structure of the Communicator Styles Measure (CSM) when used with undergraduate health science students Background: It is important for educators to consider the communication skills of students enrolled in health science programmes. To date, research into this area is limited, and having measures that are valid and reliable would assist educators and researchers to complete high-quality investigations. Purpose: The purpose of this study was to investigate the factor structure of Communicator Styles Measure. Method: Data from the Communicator Styles Measure completed by 860 undergraduate health science students enrolled in eight different courses at an Australian university (response rate of 59%) were analysed using principal component analysis with varimax rotation and a cluster analysis using elementary linkage analysis. The Communicator Styles Measure is a self-report scale consisting of 40 items designed to assess ten communication styles and one's perception of his/her ability to communicate. Results: Communicator Styles Measure items loaded onto five new viable factors labelled personable, energetic, confident, open and confronting. Six items of the original 40 from the Communicator Styles Measure did not load onto any factor and were therefore considered redundant. Conclusion: The original factor structure proposed by the Communicator Styles Measure's author was not supported, which calls into question its construct validity. However, the five new factors identified in this study may be useful for researchers and educators when assessing the communication skills of students and practitioners. Further investigation into the construct validity and reliability of the five new Communicator Styles Measure factors is recommended. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Scandinavian Journal of Caring Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2013
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