The Relationship Between Selected Socio-Cultural Factors and Computer-Implementation in Illinois Public High Schools
Chowdaiah, Shoba B.
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Permalink
https://hdl.handle.net/2142/71936
Description
Title
The Relationship Between Selected Socio-Cultural Factors and Computer-Implementation in Illinois Public High Schools
Author(s)
Chowdaiah, Shoba B.
Issue Date
1993
Doctoral Committee Chair(s)
Wentling, Tim
Department of Study
Education
Discipline
Education
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Education, Administration
Education, Technology of
Education, Vocational
Abstract
The specific purpose of the study was to determine the relationship between selected socio-cultural factors and computer-implementation in Illinois public high schools. The random and proportionate sample comprised of 400 schools located in rural, suburban and urban areas.
A brief questionnaire was developed to obtain information for eight independent variables, namely, clarity of school goals (for computer-implementation), availability of adequate funding, availability of required equipment and materials, organizational arrangements, adequate staff training, school income, school size and school location, and for 10 measures of computer-implementation. The questionnaires were mailed to the principals from the selected schools in November, 1991. A total of 209 responses were received.
A data file was created and the SPSS statistical package was used to analyze data. The statistical techniques used included correlations, factor analysis, regressions and canonical analysis. A few Chi-squares and ANOVAs were also utilized.
Regarding correlations, with the exception of school income, significant and positive correlations were found between seven independent variables and computer-implementation. The major finding was that school goals for computer-implementation was significantly related to virtually all measures of computer-implementation.
The factor analysis generated three underlying factors constituting computer-implementation. Upon regression on the independent variables, six of the eight independent variables were found to be positively correlated to one of the three factors.
The canonical analysis yielded four sets of independent variables that were most highly correlated with four sets of dependent variables, in different combinations. In general, the results were consistent with those obtained from factor analysis and from running correlations.
The findings of the study, overall conclusions and recommendations to school administrators, policy-makers and computer vendors are also presented.
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