Birth Order and Impact on College Major ChoiceJennifer Cramer
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Table 1. Collapsed Catalog * Birth order (Select appropriate response) Crosstabulation |
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Birth order (Select appropriate response) |
Total |
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Middle |
Oldest |
Only |
Youngest |
||||
Collapsed Catalog |
|
Count |
0 |
0 |
0 |
1 |
1 |
% within Collapsed Catalog |
.0% |
.0% |
.0% |
100.0% |
100.0% |
||
Arts |
Count |
5 |
11 |
5 |
6 |
27 |
|
% within Collapsed Catalog |
18.5% |
40.7% |
18.5% |
22.2% |
100.0% |
||
Business |
Count |
1 |
5 |
0 |
3 |
9 |
|
% within Collapsed Catalog |
11.1% |
55.6% |
.0% |
33.3% |
100.0% |
||
Communication |
Count |
0 |
1 |
0 |
3 |
4 |
|
% within Collapsed Catalog |
.0% |
25.0% |
.0% |
75.0% |
100.0% |
||
Communication |
Count |
1 |
5 |
0 |
1 |
7 |
|
% within Collapsed Catalog |
14.3% |
71.4% |
.0% |
14.3% |
100.0% |
||
Education |
Count |
8 |
10 |
0 |
4 |
22 |
|
% within Collapsed Catalog |
36.4% |
45.5% |
.0% |
18.2% |
100.0% |
||
English |
Count |
2 |
2 |
0 |
1 |
5 |
|
% within Collapsed Catalog |
40.0% |
40.0% |
.0% |
20.0% |
100.0% |
||
History |
Count |
1 |
1 |
0 |
0 |
2 |
|
% within Collapsed Catalog |
50.0% |
50.0% |
.0% |
.0% |
100.0% |
||
Recreation |
Count |
0 |
0 |
0 |
2 |
2 |
|
% within Collapsed Catalog |
.0% |
.0% |
.0% |
100.0% |
100.0% |
||
Religion |
Count |
5 |
9 |
0 |
5 |
19 |
|
% within Collapsed Catalog |
26.3% |
47.4% |
.0% |
26.3% |
100.0% |
||
Science |
Count |
6 |
5 |
2 |
6 |
19 |
|
% within Collapsed Catalog |
31.6% |
26.3% |
10.5% |
31.6% |
100.0% |
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Social Sciences |
Count |
5 |
12 |
3 |
6 |
26 |
|
% within Collapsed Catalog |
19.2% |
46.2% |
11.5% |
23.1% |
100.0% |
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Total |
Count |
34 |
61 |
10 |
38 |
143 |
|
% within Collapsed_Catalog |
23.8% |
42.7% |
7.0% |
26.6% |
100.0% |
Table 2. Chi-Square Tests |
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Value |
df |
Asymp. Sig. (2-sided) |
Pearson Chi-Square |
34.012a |
33 |
.419 |
Likelihood Ratio |
36.824 |
33 |
.296 |
N of Valid Cases |
143 |
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a. 35 cells (72.9%) have expected count less than 5. The minimum expected count is .07. |
No significant association was found between birth order and college major choice. This study compiled data through convenience sampling via an online instrument. The BOCM was distributed to students with junior or senior status through campus email. Although the study did not report significant findings, this research has implications for career counselors and future research endeavors.
The results of this study may lead one to the notion that the theories of Adler and Holland do not apply to the choice of college major. Our findings fail to support the findings of Kniveton (2004). Our sample size compared to Kniveton’s was not as diverse and was much smaller. Kniveton’s study also focused a great deal on the implications of personality that stem from birth order, which we did not. We focused exclusively on actual birth order instead of psychological birth order.
The sample of this study was not representative among the majors offered at the institution. Majors such as psychology and animation each had over ten respondents. Other majors had less than ten, and several had only one respondent. We believe that a more representative sample would have possibly given us different results. Although the sample size as a whole (146 respondents) was significant, the representation from each major was not large enough to show significance. Perhaps the characteristics the university chosen for the study had an impact. The university is rather expensive, which is more appealing to higher income individuals who also tend to have fewer children. The sum of middle and youngest children were equivalent to the total of oldest and only children. Therefore, the middle and youngest categories of birth order were under represented. According to theorists, oldest and only children are known to be the highest achievers. This may lead to a higher population of oldest and only children on campus and to the fact that a high proportion of survey respondents were the oldest or only children.
As with any study, there are problems associated with the method. Three surveys had to be discarded because participants were able to skip important questions on the survey. However, the simplicity of an online survey was more efficient than distributing a paper instrument. Another limitation of the survey was that it dealt exclusively with chronological birth order and not psychological birth order.
Future research should include some instrument to indicate psychological birth order. Perhaps a simplified version of Alfred Binet and Theodore Simon’s MMPI (1905) could be used for this purpose. A larger, more representative sample would be more beneficial to potential studies as well.
As higher education becomes more of a necessity in society, we believe that the populations of universities will become more representative of family constellations. Because of this necessity, we may expect to see more youngest and middle children who are characterized through Holland’s theory as having lower-achieving personality types. Further research in both psychological and chronological birth order would be beneficial in coming years.
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Demographic Information
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