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Research in Engineering Education Symposium 2011 - rees2009

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Universidad Politécnica de Madrid (UPM) Pág<strong>in</strong>a 803 de 957<br />

Results<br />

The data collected was exam<strong>in</strong>ed to answer the follow<strong>in</strong>g questions:<br />

1. What factors are significant to NSBE members’ eng<strong>in</strong>eer<strong>in</strong>g self-efficacy?<br />

2. Does <strong>in</strong>volvement <strong>in</strong> NSBE constitute high self-efficacy?<br />

3. Are there differences <strong>in</strong> eng<strong>in</strong>eer<strong>in</strong>g self-efficacy of women vs. men <strong>in</strong> NSBE?<br />

Table 4 provides the subscale means by gender for the sample under consideration. The<br />

questions <strong>in</strong> the survey <strong>in</strong>strument use a 7 po<strong>in</strong>t scale (1-Strongly Disagree, 7-Strongly<br />

Agree). Students were tasked to <strong>in</strong>dicate the level to which they agree with statements <strong>in</strong><br />

the survey (i.e. Strongly Disagree, Disagree, Slightly Disagree, Disagree nor Agree, Slightly<br />

Agree, Agree, Strongly Agree). For example, there were three questions <strong>in</strong>cluded <strong>in</strong> the<br />

math outcome expectations subscale:<br />

1. Do<strong>in</strong>g well at math will enhance my career/job opportunities<br />

2. Do<strong>in</strong>g well at math will <strong>in</strong>crease my sense of self worth<br />

3. Tak<strong>in</strong>g math courses will help me to keep my career options open<br />

Tak<strong>in</strong>g a look at the mean scores <strong>in</strong> Table 4 the authors do not see major difference <strong>in</strong><br />

cop<strong>in</strong>g self-efficacy, math outcome expectations, eng<strong>in</strong>eer<strong>in</strong>g self-efficacy, and eng<strong>in</strong>eer<strong>in</strong>g<br />

career success expectations for men vs. women. Men <strong>in</strong> NSBE had higher mean values for<br />

feel<strong>in</strong>g of <strong>in</strong>clusion than did women <strong>in</strong> NSBE.<br />

Table 4: Comparison of subscale means by gender<br />

The subscale means for the entire sample are provided <strong>in</strong> Table 5. Aga<strong>in</strong>, the data shows<br />

that NSBE members <strong>in</strong> this sample have a low feel<strong>in</strong>g of <strong>in</strong>clusion <strong>in</strong> eng<strong>in</strong>eer<strong>in</strong>g, which is<br />

surpris<strong>in</strong>g consider<strong>in</strong>g the large network of Black eng<strong>in</strong>eers they belong to.<br />

Table 5: Comparison of subscale means by gender<br />

Proceed<strong>in</strong>gs of <strong>Research</strong> <strong>in</strong> Eng<strong>in</strong>eer<strong>in</strong>g <strong>Education</strong> <strong>Symposium</strong> <strong>2011</strong><br />

Madrid, 4 th - 7 th October <strong>2011</strong>

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