Citation

Demographics and Computer-Related Factors Predicting Computer Self-Efficacy among Ethnically Diverse Older Adults.

Abstract | Word Stems | Keywords | Association | Citation | Similar Titles



Abstract:

A hierarchical multiple regression tested hypothesized predictors of computer self-efficacy in a community-dwelling sample of ethnically diverse older adults. Step 1 found gender and income accounted for over 9% of variance, while step 2 results indicated that having previous experience accounted for about 16% of variance in computer self-efficacy.

Most Common Document Word Stems:

comput (22), self (10), efficaci (9), self-efficaci (8), older (7), experi (6), predictor (5), adult (5), signific (5), gender (5), incom (5), ethnic (4), age (3), prior (3), p (3), factor (3), relat (3), use (3), step (2), well (2), account (2),

Author's Keywords:

older adults, computer use, computer self-efficacy
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Association:
Name: AWP Annual Conference
URL:
http://awpsych.org


Citation:
URL: http://citation.allacademic.com/meta/p550336_index.html
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MLA Citation:

Martinez Alpizar, David., Yu, Chen-Hui., Amezquita, Christina., Nehman, Nathalie., Cortina Swanson, Xochitl. and Luciana, Lagana`. "Demographics and Computer-Related Factors Predicting Computer Self-Efficacy among Ethnically Diverse Older Adults." Paper presented at the annual meeting of the AWP Annual Conference, Palm Springs Hilton, Palm Springs, CA, Mar 08, 2012 <Not Available>. 2014-11-24 <http://citation.allacademic.com/meta/p550336_index.html>

APA Citation:

Martinez Alpizar, D. , Yu, C. , Amezquita, C. , Nehman, N. , Cortina Swanson, X. and Luciana, L. , 2012-03-08 "Demographics and Computer-Related Factors Predicting Computer Self-Efficacy among Ethnically Diverse Older Adults." Paper presented at the annual meeting of the AWP Annual Conference, Palm Springs Hilton, Palm Springs, CA Online <PDF>. 2014-11-24 from http://citation.allacademic.com/meta/p550336_index.html

Publication Type: POSTER
Review Method: Peer Reviewed
Abstract: A hierarchical multiple regression tested hypothesized predictors of computer self-efficacy in a community-dwelling sample of ethnically diverse older adults. Step 1 found gender and income accounted for over 9% of variance, while step 2 results indicated that having previous experience accounted for about 16% of variance in computer self-efficacy.


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A textual analysis of race, ethnicity and gender relations conveyed in media accounts: A case of the former Soviet Union

Can the General Theory of Crime Account for Computer Offenders: Testing Low Self Control as a Predictor of Computer Crime Offending


 
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