Measuring Engineering Design Self-Efficacy

Adam Carberry

doi:10.1002/j.2168-9830.2010.tb01043.x

2013-01-02

234

PRE

Adam Carberry *

Hee‐Sun Lee

Matthew Ohland

DOI：10.1002/j.2168-9830.2010.tb01043.x

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BACKGROUND Self-concept can influence how an individual learns, but is often overlooked when assessing student learning in engineering. PURPOSE (HYPOTHESIS) To validate an instrument designed to measure individuals' self-concepts toward engineering design tasks, three research questions were investigated: (a) how well the items in the instrument represent the engineering design process in eliciting the task-specific self-concepts of self-efficacy, motivation, outcome expectancy, and anxiety, (b) how well the instrument predicts differences in the self-efficacy held by individuals with a range of engineering experiences, and (c) how well the responses to the instrument align with the relationships conceptualized in self-efficacy theory. DESIGN/METHOD A 36-item online instrument was developed and administered to 202 respondents. Three types of validity evidence were obtained for (a) representativeness of multi-step engineering design processes in eliciting self-efficacy, (b) the instrument's ability to differentiate groups of individuals with different levels of engineering experience, and (c) relationships between self-efficacy, motivation, outcome expectancy, and anxiety as predicted by self-efficacy theory. RESULTS Results indicate that the instrument can reliably identify individuals' engineering design self-efficacy (alpha = 0.967), motivation (alpha = 0.955), outcome expectancy (alpha = 0.967), and anxiety (alpha = 0.940). One-way ANOVA identified statistical differences in self-efficacy between high, intermediate, and low experience groups at the p < 0.05 level. Self-efficacy was also shown to be correlated to motivation (0.779), outcome expectancy (0.919), and anxiety (-0.593) at the P < 0.01 level. CONCLUSIONS The study showed that the instrument was capable of identifying individuals' self-concepts specific to the engineering design tasks.

Keyword:

assessment

engineering design

self-efficacy