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Measurement of person-environment fit in community settings: Industrial-organizational perspectives

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Abstract:

This presentation will discuss the conceptualization and measurement of person-environment fit (P-E fit) in community settings, as well as the relationship of fit to satisfaction with and intentions to stay in settings. This presentation demonstrates the importance and limitations of an interdisciplinary perspective for community research and presents a measure of P-E fit for use in a variety of community settings.

At the inception of community psychology, the congruence between persons and their environments (P-E fit) was espoused as important concept for the field (Rappaport, 1977). Later, Pargament (1986) and Moos (1987) developed P-E fit theory and empirically examined the concept, but the majority of P-E fit theory and research has been conducted by industrial/organizational (I/O) psychology, which has contributed a large body of literature on the concept (Ostroff & Judge, 2007).

The most widely-used measure of fit (Cable & DeRue, 2002) is a reliable, validated, and well-established measure of fit, but the language in the measure is targeted to employment settings and may not translate well to community settings. Additionally, the measure overlooks some important components of fit. The General Environment Fit Scale (GEFS) was developed using I/O conceptualizations and measurement of fit but adapted to address limitations.

The authors examined the factor structure and validity of the GEFS. A series of confirmatory factor analyses revealed that, as hypothesized, the theoretical structure of the GEFS best fit the data (χ2 = 224.74; CFI = .92; TLI = .90; RMSEA = .06; SRMR = .06,), and the measure was significantly related to recovery home residents’ satisfaction with their home (β = .48, t(188) = 7.53, p < .001). Other exploratory findings demonstrated that, although I/O theory may serve as a guide for community researchers, relationships found in community settings may be discordant with those found in employment settings.
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Name: SCRA Biennial Meeting
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http://www.scra27.org


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MLA Citation:

Beasley, Christopher. "Measurement of person-environment fit in community settings: Industrial-organizational perspectives" Paper presented at the annual meeting of the SCRA Biennial Meeting, Roosevelt University/Harold Washington Library, Chicago, IL, <Not Available>. 2013-05-18 <http://citation.allacademic.com/meta/p497548_index.html>

APA Citation:

Beasley, C. R. "Measurement of person-environment fit in community settings: Industrial-organizational perspectives" Paper presented at the annual meeting of the SCRA Biennial Meeting, Roosevelt University/Harold Washington Library, Chicago, IL <Not Available>. 2013-05-18 from http://citation.allacademic.com/meta/p497548_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: This presentation will discuss the conceptualization and measurement of person-environment fit (P-E fit) in community settings, as well as the relationship of fit to satisfaction with and intentions to stay in settings. This presentation demonstrates the importance and limitations of an interdisciplinary perspective for community research and presents a measure of P-E fit for use in a variety of community settings.

At the inception of community psychology, the congruence between persons and their environments (P-E fit) was espoused as important concept for the field (Rappaport, 1977). Later, Pargament (1986) and Moos (1987) developed P-E fit theory and empirically examined the concept, but the majority of P-E fit theory and research has been conducted by industrial/organizational (I/O) psychology, which has contributed a large body of literature on the concept (Ostroff & Judge, 2007).

The most widely-used measure of fit (Cable & DeRue, 2002) is a reliable, validated, and well-established measure of fit, but the language in the measure is targeted to employment settings and may not translate well to community settings. Additionally, the measure overlooks some important components of fit. The General Environment Fit Scale (GEFS) was developed using I/O conceptualizations and measurement of fit but adapted to address limitations.

The authors examined the factor structure and validity of the GEFS. A series of confirmatory factor analyses revealed that, as hypothesized, the theoretical structure of the GEFS best fit the data (χ2 = 224.74; CFI = .92; TLI = .90; RMSEA = .06; SRMR = .06,), and the measure was significantly related to recovery home residents’ satisfaction with their home (β = .48, t(188) = 7.53, p < .001). Other exploratory findings demonstrated that, although I/O theory may serve as a guide for community researchers, relationships found in community settings may be discordant with those found in employment settings.

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