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Are self-efficacy measures confounded with motivation? An experimental test
David M Williams1, Shira Dunsiger1,2, Jessica A Emerson1
1Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA.
Priming participants to distinguish between perceived capability ("can") and motivation ("will") improved self-efficacy ratings. This highlights how standard self-efficacy (SE) measures may conflate these two distinct constructs.
Area of Science:
- Psychology
- Behavioral Science
Background:
- Standard self-efficacy (SE) measures may inaccurately assess perceived capability due to respondent interpretation of "can" as "will."
- This potential confound between perceived capability and motivation can impact the validity of SE assessments.
Purpose of the Study:
- To investigate whether priming the distinct meanings of "can" and "will" influences self-efficacy ratings.
- To determine if clarifying the semantic difference between capability and intention affects how individuals report their self-efficacy.
Main Methods:
- An experimental study involving 134 university students assessing exercise self-efficacy.
- Participants were randomized into control, definition priming (recalled definition of "can"), or side-by-side priming (SE items next to intention items) groups.
- Self-efficacy and definitions of "can" and "will" were collected, with follow-up assessments one month later.
Main Results:
- Side-by-side priming significantly increased self-efficacy ratings compared to the control group (p<.01).
- Definition priming did not yield a significant change in self-efficacy ratings.
- The increase in self-efficacy for side-by-side priming was more pronounced in participants who defined "can" literally (p<.001).
Conclusions:
- Priming the literal meaning of "can" enhances self-efficacy ratings, particularly for individuals with a strict interpretation.
- Standard self-efficacy assessments may be confounded by motivational factors if the distinction between capability and intention is not clear.
- This research suggests a method to improve the precision of self-efficacy measurement by clarifying semantic interpretations.
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