Academic Self-Concept Project

Overview

Background

One part of James Daniel Lee’s argument in Which Kids Can “Become” Scientists? Effects of Gender, Self-Concepts, and Perceptions of Scientists is that girls are less likely to pursue science careers because they feel their self-concept(s) are not in line with the expectation of what a scientist is like. This suggests that, at least in part, students tend to pursue careers which they feel are congruent with their self-concept. However, this view does not account for whether college students consider their education a means to pursue their passions and express a part of their “true” self, or as a path to obtaining a lucrative career. Further, research on academic self-concept almost exclusively focuses on achievement as its main indicator or correlate.

I argue that achievement is only one aspect of academic self-concept and research on this topic must account for academic gratification. That said, I seek to (1) examine whether students college major is more influenced by careerist goals or self-concepts, (2) explore how others’ perceptions (reflected appraisals) affect their self-concept and overall satisfaction with their major, (3) reveal if students who choose their major based on self-concept are more or less satisfied with their major, and (4) investigate students’ attitudes about their perceptions of their future success as it relates to the conclusions above.

Research Questions

  • What is the role of self-concept in students’ choice of college major?
  • Are students more likely to choose a major based on self-concept or career outcomes?
  • Are students who choose a major based on self-concept more or less satisfied than those who choose a major on career outcomes?

Methods

  • Survey undergraduate students on academic self and careerism
    • Focus on the parts of academic self literature ignores

Survey

Download the survey here.

Sample Characteristics

Analysis

Major? n mean sd stderr LCL UCL median min max IQR W.Stat p.value
Arts/Humanities 56 2.09 1.20 0.16 1.77 2.41 2 0 4 2.00 0.8983 0
Biology/Life Sciences 92 1.40 1.13 0.12 1.16 1.64 2 -2 4 1.00 0.9151 0
Business 69 0.26 1.36 0.16 -0.06 0.58 0 -3 3 1.00 0.9111 0
Health/pre-prof. fields 108 1.18 1.08 0.10 0.98 1.38 1 -2 4 2.00 0.9184 0
Other 122 1.79 1.23 0.11 1.57 2.01 2 -1 4 1.75 0.9175 0
Social Science 91 1.55 1.16 0.12 1.31 1.79 2 -1 4 1.00 0.9320 0
STEM 119 0.87 1.49 0.14 0.59 1.15 1 -4 4 2.00 0.9362 0
statistic p.value parameter method
83.07665 0 6 Kruskal-Wallis rank sum test

STEM? n mean sd stderr LCL UCL median min max IQR W.Stat p.value
Maybe/Unsure 96 1.27 1.14 0.12 1.03 1.51 1 -2 4 2 0.9200 0
No 278 1.46 1.36 0.08 1.30 1.62 1 -3 4 1 0.9382 0
Yes 283 1.15 1.37 0.08 0.99 1.31 1 -4 4 2 0.9266 0
statistic p.value parameter method
5.83066 0.0541861 2 Kruskal-Wallis rank sum test

x
Cramer V 0.2753
x
Cramer V 0.1692
x
Cramer V 0.2047

## Warning in chisq.test(r$fulfilled, r$overall_satisfied): Chi-squared
## approximation may be incorrect
statistic p.value parameter method
305.6472 0 24 Pearson’s Chi-squared test
full sat n
Less fulfilled Extremely Satisfied 8
Less fulfilled Less satisfied 101
Less fulfilled Moderately Satisfied 117
Less fulfilled Slightly Satisfied 59
More fulfilled Extremely Satisfied 90
More fulfilled Less satisfied 30
More fulfilled Moderately Satisfied 193
More fulfilled Slightly Satisfied 41
x
Cramer V 0.4386
statistic p.value parameter method
122.9483 0 3 Pearson’s Chi-squared test
## 
## Re-fitting to get Hessian
term estimate std.error statistic coef.type
as.factor(full)More fulfilled -0.3760647 0.1478358 -2.543799 coefficient
Extremely Satisfied|Less satisfied -1.9096138 0.1367454 -13.964735 scale
Less satisfied|Moderately Satisfied -0.7809734 0.1147056 -6.808505 scale
Moderately Satisfied|Slightly Satisfied 1.4836493 0.1334414 11.118355 scale

Limitations

References

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