scholarly journals Facts that Influence College Students’ Reading Motivation

2022 ◽  
Vol 9 (2) ◽  
pp. 187-210
Author(s):  
Suhua Huang ◽  
Marcie Reynolds
Keyword(s):  
College Students ◽  
Intrinsic Motivation ◽  
Self Efficacy ◽  
Extrinsic Motivation ◽  
Descriptive Analysis ◽  
Reading Motivation ◽  
Social Motivation ◽  
Female College Students ◽  
Motivation To Read ◽  
The Mean

This study investigated American college students’ reading motivation. A total of 1,437 (533 male and 904 female) college students across interdisciplinary areas voluntarily participated in the study by completing a self-reported survey. Two major research questions were addressed in this study. The first question investigated American college students’ reading motivation by the Motivation for Reading Questionnaire (MRQ) variables of self-efficacy, intrinsic motivation, extrinsic motivation, and social motivation. The second question asked what variables influence American college students’ motivation to read by comparing gender, classification, age, race, language backgrounds, grades in major subjects and minor subjects. Descriptive analysis indicated that the mean scores of the extrinsic motivation scale (3.07) were higher than those of intrinsic motivation (3.05), self-efficacy (3.04) and social motivation (2.35) scales. A multiple linear regression statistical analysis confirmed that gender, age, classification, grade, race, and primary language were significant factors in college students’ motivation to read. Keywords: college students, reading motivation, MRQ

Exploring Learners' Self-Efficacy, Autonomy, and Motivation toward E-Learning

2007 ◽  
Vol 105 (2) ◽  
pp. 581-586 ◽  
Author(s):  
Hsiu-Mei Huang ◽  
Shu-Sheng Liaw
Keyword(s):  
College Students ◽  
Intrinsic Motivation ◽  
Questionnaire Survey ◽  
Self Efficacy ◽  
Extrinsic Motivation ◽  
E Learning ◽  
Predictive Relationships ◽  
Central Taiwan ◽  
Learning Analysis ◽  
Variance Explained

A questionnaire survey was conducted with 116 college students (47 men, 69 women) in Central Taiwan to investigate predictive relationships among four attitudinal variables, perceived self-efficacy, learners' autonomy, intrinsic motivation, and extrinsic motivation toward e-learning. Analysis showed learners' autonomy was predictive of both intrinsic (57% independent variance explained) and extrinsic motivation (61% independent variance explained). Although perceived self-efficacy was not a predictor of intrinsic motivation and extrinsic motivation, it correlated significantly with extrinsic motivation.

Sex Differences in Privacy Preferences

1987 ◽  
Vol 64 (3_suppl) ◽  
pp. 1239-1242 ◽  
Author(s):  
Darhl M. Pedersen
Keyword(s):  
College Students ◽  
Sex Differences ◽  
The Other ◽  
Three Dimensions ◽  
Female College Students ◽  
Female College ◽  
Privacy Preferences ◽  
Other Hand ◽  
The Mean

A Privacy Questionnaire was administered to 118 male and 142 female college students to determine differences in the patterns of privacy preferences between the sexes. The questionnaire contained factor scales for measuring six independent types of privacy. t-tests showed that the means for women were significantly higher than those for men in their preferences for Intimacy with Family and Intimacy with Friends. On the other hand, for Isolation the mean for men was significantly higher than that for women. There were no significant differences between the means for the two sexes on the remaining three dimensions, Reserve, Solitude, and Anonymity.

Comparison of Figure Cognition, Satisfaction and Dressing Desire between China and South Korea Female College Students

2011 ◽  
Vol 332-334 ◽  
pp. 1567-1571
Author(s):  
Hai Yan Wang ◽  
Yong Lim Choi ◽  
Yun Jia Nam
Keyword(s):  
College Students ◽  
University Students ◽  
South Korea ◽  
Statistical Methods ◽  
Random Sampling ◽  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
Female College Students ◽  
Statistical Software ◽  
Female College

This document he 20-25 years old female university students from Jiangsu province in China and Seoul in South Korea were chosen as the subjects. The method of simple random sampling and analyzing questionnaires was employed and the questionnaire content are following: 50 questions referring body cognition and figure satisfaction and 11 questions investigating subjects’ acceptence of various clothing styles. Responses data were collected and processed by the SPSS (17.0 for Windows) statistical software and statistical methods of Descriptive analysis, Crosstabs, Mean multiple comparison (Duncan) was employed. This study focused on female college students’ self-figure cognition, self-figure satisfaction and dressing desire and would offer reference and advice about developing China’s and South Korea’s apparel trade.

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