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Table 2 Outcome construct measures

From: Effects of a first-year undergraduate engineering design course: survey study of implications for student self-efficacy and professional skills, with focus on gender/sex and race/ethnicity

Construct

Measurement source

# items in scale; scale measure

Example item

α*

Macro-level Domain 1: Engineering Attitudes

  

0.71–0.78

General engineering self-efficacy

Mamaril et al. (2016)

6 items; 7-point scale where 7 = high self-efficacy (6)

I can master the content in the engineering-related courses I am taking this semester

0.90–0.95

Tinkering self-efficacy

Mamaril et al. (2016)

10 items; 7-point scale where 7 = high self-efficacy

I am comfortable learning new tools

0.93–0.95

Engineering design self-efficacy

Carberry et al. (2010)

7 items; 7-point scale where 7 = high self-efficacy

Generating diverse ideas to solve a design problem

0.87–0.93

Engineering academic engagement

n/a, original instrument

4 items; 7-point scale where 7 = high academic engagement

I am extremely interested in engineering

0.88–0.93

Macro-level Domain 2: Professional Skills

  

0.81–0.87

Teamwork skills

Carter et al. (2016)

4 items; 6-point scale where 6 = expert skill level

Working with others to accomplish group goals

0.77–0.90

Communication skills

Carter et al. (2016)

6 items; 6-point scale where 6 = expert skill level

Communicating effectively with nontechnical audiences

0.80–0.89

Leadership skills

Carter et al. (2016)

4 items; 6-point scale where 6 = expert skill level

Motivating people to do the work that needs to be done

0.84–0.90

  1. *The Cronbach α indicated here reflects results from our study samples; the range is provided to reflect alpha scores at each timepoint
  2. The survey also addressed selected constructs within Creativity and Personal Development that are not the focus of this paper. Cronbach’s α ranges reflect results across this manuscript studies’ timepoints of data collection, including Study 1 and 2