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An analysis of correlates and predic...

Marcinkowski, Thomas Joseph.

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An analysis of correlates and predictors of responsible environmental behavior.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An analysis of correlates and predictors of responsible environmental behavior./
作者:	Marcinkowski, Thomas Joseph.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1988,
面頁冊數:	775 p.
附註:	Source: Dissertations Abstracts International, Volume: 50-12, Section: A.
Contained By:	Dissertations Abstracts International50-12A.
標題:	Science education. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8903716
ISBN:	9798206590760

An analysis of correlates and predictors of responsible environmental behavior.
Marcinkowski, Thomas Joseph.

An analysis of correlates and predictors of responsible environmental behavior. - Ann Arbor : ProQuest Dissertations & Theses, 1988 - 775 p.

Source: Dissertations Abstracts International, Volume: 50-12, Section: A.

Thesis (Ph.D.)--Southern Illinois University at Carbondale, 1988.

This item must not be sold to any third party vendors.

The study's purpose was to replicate and extend Sia's (1985) investigation of predictors of responsible environmental behavior (REB). Sia investigated eight predictors: (1) environmental sensitivity (ENVSENS), (2 & 3) knowledge of (KNOWACT) and skill using (SKILLACT) environmental action strategies; (4 & 5) attitudes toward pollution (ATTPOLL) and technology (ATTTECH); (6 & 7) individual (ILOC) and group (GLOC) locus of control; and (8) psychological gender role (GENROLE). Additional variables measured in this study included: (a) Demographic variables (e.g., conservation organization memberships (MBRSHIPS)); (b) Life Experience variables; (c) Cognitive variables (e.g., knowledge of environmental problems (KNOWPROB)); (d) Affective variables (e.g., economics (ATTECON), and terminal values); (e) Personality variables (e.g., individual (IEFF), and group efficacy (GEFF)); and (f) Behavior Intention variables (e.g., environmental responsibility and commitment). Initial survey data (n = 121) were collected from Sierra Club (n = 68 (SC)) and Audobon Society (n = 53 (AS)) members. Twelve respondents (REB scores: 41-51) participated in a pilot of a survey/interview procedure. The revised procedure was used with 19 respondents (REB scores: $\\geq$50). Pilot and follow-up respondent data were then combined (n = 31). Analyses explored three research questions: (1) To what degree can the prediction results for Sia's SC sample be replicated? (2) Which variables extend explanation of the variance in REB beyond that obtained using Sia's predictor variables? and (3) What is the most powerful set of predictors of REB? Results included: (1) Explained variance in REB scores using Sia's eight predictors (45.5%) was slightly larger than for Sia's SC sample (42.5%); (2) Significant differences (p $<$.001) existed between this study's SC/AS and Sia's SC sample in mean REB scores, and in results for ENVSENS, KNOWACT, SKILLACT, ATTTECH, and ILOC; (3) Additional variables significantly (p $<$.05) correlated with REB included: GEFF, IEFF, three Environmental Commitment variables, ATTECON, one Environmental Responsibility variable, MBRSHIPS, and KNOWPROB; (4) Of these, only ATTECON added significantly (p $<$.004) to the variance explained by Sia's eight predictors (R$\\sp2$ = 17.6%); (5) KNOWACT was the most powerful predictor of REB (R$\\sp2$ = 39.8%); (6) The most powerful five variable (F 5,25) prediction model included: (1) ILOC; (2) ATTECON; (3) Age; (4) the value 'Salvation'; and (5) IEFF (Total R$\\sp2$ = 70.5%).

ISBN: 9798206590760Subjects--Topical Terms:

521340
Science education.

An analysis of correlates and predictors of responsible environmental behavior.
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506 $a This item must not be added to any third party search indexes.
520 $a The study's purpose was to replicate and extend Sia's (1985) investigation of predictors of responsible environmental behavior (REB). Sia investigated eight predictors: (1) environmental sensitivity (ENVSENS), (2 & 3) knowledge of (KNOWACT) and skill using (SKILLACT) environmental action strategies; (4 & 5) attitudes toward pollution (ATTPOLL) and technology (ATTTECH); (6 & 7) individual (ILOC) and group (GLOC) locus of control; and (8) psychological gender role (GENROLE). Additional variables measured in this study included: (a) Demographic variables (e.g., conservation organization memberships (MBRSHIPS)); (b) Life Experience variables; (c) Cognitive variables (e.g., knowledge of environmental problems (KNOWPROB)); (d) Affective variables (e.g., economics (ATTECON), and terminal values); (e) Personality variables (e.g., individual (IEFF), and group efficacy (GEFF)); and (f) Behavior Intention variables (e.g., environmental responsibility and commitment). Initial survey data (n = 121) were collected from Sierra Club (n = 68 (SC)) and Audobon Society (n = 53 (AS)) members. Twelve respondents (REB scores: 41-51) participated in a pilot of a survey/interview procedure. The revised procedure was used with 19 respondents (REB scores: $\\geq$50). Pilot and follow-up respondent data were then combined (n = 31). Analyses explored three research questions: (1) To what degree can the prediction results for Sia's SC sample be replicated? (2) Which variables extend explanation of the variance in REB beyond that obtained using Sia's predictor variables? and (3) What is the most powerful set of predictors of REB? Results included: (1) Explained variance in REB scores using Sia's eight predictors (45.5%) was slightly larger than for Sia's SC sample (42.5%); (2) Significant differences (p $<$.001) existed between this study's SC/AS and Sia's SC sample in mean REB scores, and in results for ENVSENS, KNOWACT, SKILLACT, ATTTECH, and ILOC; (3) Additional variables significantly (p $<$.05) correlated with REB included: GEFF, IEFF, three Environmental Commitment variables, ATTECON, one Environmental Responsibility variable, MBRSHIPS, and KNOWPROB; (4) Of these, only ATTECON added significantly (p $<$.004) to the variance explained by Sia's eight predictors (R$\\sp2$ = 17.6%); (5) KNOWACT was the most powerful predictor of REB (R$\\sp2$ = 39.8%); (6) The most powerful five variable (F 5,25) prediction model included: (1) ILOC; (2) ATTECON; (3) Age; (4) the value 'Salvation'; and (5) IEFF (Total R$\\sp2$ = 70.5%).
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