心理学
规则网络
验证性因素分析
差异(会计)
判别效度
比例(比率)
社会心理学
测试有效性
收敛有效性
成就的需要
结构方程建模
目标理论
心理测量学
发展心理学
统计
数学
内部一致性
业务
会计
物理
量子力学
作者
Eric D. Deemer,Matthew P. Martens,Walter C. Buboltz
标识
DOI:10.1177/1069072710364794
摘要
An instrument designed to measure a 3-factor model of research motivation was developed and psychometrically examined in the present research. Participants were 437 graduate students in biology, chemistry/biochemistry, physics/astronomy, and psychology. A principal components analysis supported the retention of 20 items representing the 3-factor structure. Intrinsic Reward explained 32.19% of the variance in the data, followed by Failure Avoidance (15.84%), and Extrinsic Reward (7.49%). A follow-up confirmatory factor analysis indicated that the 3-factor model provided a better fit to the data than competing 1-, 2-, and 4-factor models. A nomological network of relations with academic achievement motivation, fear of failure, behavioral activation/inhibition sensitivity, and other constructs also revealed support for the measure’s convergent and discriminant validity. Implications for theory and research in the achievement motivation and career development domains are discussed.
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