using the expectancy value model of motivation to understand the relationship between student attitudes and achievement in statistics

 

michelle hood

Griffith Health Institute, Griffith University, Australia

michelle.hood@griffith.edu.au

 

peter a. creed

Griffith Health Institute, Griffith University, Australia

p.creed@griffith.edu.au

 

david l. neumann

Griffith Health Institute, Griffith University, Australia

d.neumann@griffith.edu.au

 

ABSTRACT

 

We tested a model of the relationship between attitudes toward statistics and achievement based on Eccles' Expectancy Value Model (1983). Participants (n = 149; 83% female) were second-year Australian university students in a psychology statistics course (mean age = 23.36 years, SD = 7.94 years). We obtained demographic details, past performance, attitudes, and expectancies in Week 2, and attendance records (effort) and course marks (achievement) at the end of semester. Path analysis was conducted via AMOS 19. The final model fit well and explained 40% of the variance in achievement. Past performance (22%), effort (8%), and expectancies (2%) made significant direct contributions. There were significant indirect contributions by each attitude component. Cognitive competence made the largest indirect contribution.

 

Keywords: Statistics education research; Statistics attitudes; Statistics achievement

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Statistics Education Research Journal, 11(2), 72-85, http://www.stat.auckland.ac.nz/serj

(c) International Association for Statistical Education (IASE/ISI), November, 2012

 

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MICHELLE HOOD

School of Applied Psychology and Griffith Health Institute

Griffith University

Parklands Drive

Southport QLD 4222

Australia