Self-Efficacy In College Students
Denise Tiller
Missouri Western State College
December 3, 1995
Abstract
The purpose of this paper is to show significant results in a comparison of
self-efficacy in college students based on what grade level their are. My
research consisted of 115 Missouri Western State College students. There were
56 freshman, 15 sophomores, 4 juniors, and 40 seniors that participated in this
study. Each subject completed my Check-list measuring self-efficacy in
college students. After doing a 4X2 ANOVA comparing the effects of the
subjects' score by their sex and year in school, I found that their year in
school has a significant effect on their score (f(3,108)=14,p<.05). To find
out how the year mattered, I did the Tukey-HSD test. I found that overall
freshman have significantly lower scores on my self-efficacy check-list than
any other year. There is not a significant difference between sophomores,
juniors, and seniors. In conclusion, freshman college students have a lower
level of self-efficacy than sophomores, juniors, and seniors.
Introduction
I have a theory that freshman college students have a lower level of self-
efficacy than senior college students. I haven't found any specific data
directly related to my theory, but I have found some relevant research related
to college students in general. Most of the research that I have acquired
involved comparison's between males and females and sometimes related to a
third variable. For example, Bonnet (1994), administered the Career Attitude
Scale (CAS), an index to career self-efficacy, to 120 female undergraduates
and 92 male undergraduates. He then compared their results to their marital
status. Regardless of their marital status, women had lower self-efficacy
expectations than men did regarding traditionally male occupations. However,
there was a more complex relationship on the traditionally female subscale of
the CAS, with men providing lower self-efficacy expectations for traditionally
female occupations.
Some of the research showed no significant gender differences in relation to
self- efficacy. Luzzo (1995) gave a variety of tests to 113 undergraduates
(83 women and 30 men) consisting of the Career Locus of Control Scale, the
Career Decision-Making Self-Efficacy Scale, Attitude Scale-Screening, etc.
Luzzo found no significant gender differences among these variables, but did
find correlations among the results between tests.
I found a lot of authors that were interested in finding a relationship
between undergraduates self-efficacy and a specific course(s) or major course
of study. Junge and Dretzke (1995) assessed the applicability of Bandura's
self-efficacy theory to mathematics behavior among gifted/talented
adolescents. 113 gifted/talented 9th and 12th graders completed the
Mathematics Self-Efficacy Scale. Males generally showed stronger self-efficacy
expectations than females. Gifted females' math confidence appeared weakest
in math-related college coursework and strongest in tasks involving
traditionally female activities. Ertmer, Evenbeck, Cennamo, et al. (1994)
investigated the effects of experience on attitudes toward computers and judgments
of confidence, or self-efficacy, for specific computer
technologies. The subjects were 32 undergraduates in a computer applications
in physical education course. A direct relationship between time on task and
levels of self-efficacy was not found, which suggested that quality rather
than quantity of computer experience may be most critical.
The effects of sex-role identity (SRI) on career decision-making self-efficacy
(CDMSE), expanding theoretical premises of self-efficacy to include career
behaviors and preferred career outcomes were examined and studied by Gianakos
(1995). 134 female and 44 male undergraduates completed a questionnaire that
included demographic items. Undifferentiated subjects generally scored the
lowest on all CDMSE variables. For masculine and feminine persons, the
results suggest sex-typing may influence the type of career activities
undertaken and the valuation of particular career outcomes.
Watt and Martin (1994) examined whether level of general self-efficacy, and an
expectation of personal competence, may be conserved through the
attributional process. In a 2X2 group experimental design, 60 university
students received nonverdical feedback of either success or failure for a
computer-generated response-latency task and then rated attributions for the
cause of their performance against the Causal Dimension Scale, providing data
for attributions for both forms of self-efficacy, indicating that a self-
serving bias operated in the attributional process to maintain high self-
efficacy. Results confirmed the basic assumption that there is a substantial,
positive relationship between general and specific self-efficacy.
I also acquired some information concerning self-efficacy that could influence
safer-sex behavior. Basen-Engguist (1994) decided to test whether or not
increasing safer-sex self-efficacy could influence safer-sex behavior. An
HIV-prevention workshop was developed that was designed to increase
participants' preventive behaviors and intentions through increasing their
self-efficacy in the domain of practicing safer sex. Overall, the study
worked. Increased condom use was a major result.
One article that I found was closely related to part of what I studied
involved perceived self-efficacy (Vrugt, 1994). He does a downward comparison
to test 3 hypotheses about self-efficacy among 206 1st-year psychology
students. In contrast to expectations, the interaction between self-efficacy
and direction of comparison did not contribute to feelings of the subjects
regarding their own skills.
My statement of purpose is to compare the levels of self-efficacy between
college students. I expect that the freshman students will have a lower level
of self-efficacy than senior students.
Methods
Subjects
My subjects consisted of 115 Missouri Western State College students. There
were 56 freshman, 15 sophomores, 4 juniors, and 40 seniors. The average age of
the subjects was 22.
Materials
My 16-item Check-list questionnaire was developed through research and used in
this study. I developed my own items relating to self-efficacy in college
students.
Procedure
In this study I have randomly chosen specific college courses that have
majority freshman and senior students. There are some sophomores and juniors
that participated also. I got permission from 3 Senior Seminar professors and
2 General Psychology professors to allow me to administer my questionnaire to
their classes. This involved collecting the data for my research. After
collecting all the data, I began to do the statistics to find the results.
Results
In using a 4X2 Analysis of Variance, I measured the effect of the subjects
score on my questionnaire by their sex and their year in school. I found that
there was no significant main effect for the sex of the subject
(F(1,108)=1.5,p>.05). The sex of the subject did not have an effect on their
level of self-efficacy. However, there was a significant main effect for the
year of the student (F(3,108)=14,p<.05). This shows that the year that the
student is in college does have an effect on their level of self-efficacy.
The 2-way interaction was not significant (F(3,108)=.003,p>.05) indicating
that the effect of sex on self-efficacy was not affected by what year the
subject was. The overall mean score for all the subjects was 10.64 out of 16
items. To find out how the year affected the subjects' level of self-
efficacy, I did the Tukey-HSD test. I found a significant differences between
freshman students and the rest of the subjects. Freshman students had a mean
of 9.1607, sophomores averaged 11.3333, juniors averaged 12.2000, and seniors
averaged 13.2500. This indicates that the freshman subjects have a
significantly lower level of self-efficacy than all the rest of the groups.
However, there is no significant difference between sophomores, juniors, and
seniors.
Discussion
Because there was a significant effect of the year, I can conclude that the
year of college students has a significant effect on their level of self-
efficacy. I can also conclude based on my results, that freshman have a lower
level of self-efficacy than sophomores, juniors, and seniors.
To enhance this study, I could have randomly chosen a few area colleges and
compared their scores to Missouri Westerns to see if there are any significant
differences among them. My results should apply to every college showing that
freshman ultimately have a lower level of self-efficacy.
References
Basen-Engguist, K. (1994). Evaluation of a theory-based HIV prevention
intervention for college students. AIDS Education and Prevention, 6, 412-
424.
Bonett, R.M. (1994). Marital status and sex: Impact on career self-
efficacy. Journal of Counseling and Development, 73, 187-190.
Ertmer, P.A., Evenbeck, E., Cennamo, K.S., and Lehman, J.D. (1994).
Enhancing self-efficacy for computer technologies through the use of positive
classroom experiences. Educational Technology Research and Development, 42,
45-62.
Gianakos, I. (1995). the relation of sex role identity to career decision-
making self-efficacy. Journal of Vocational Behavior, 46, 131-143.
Junge, M.E., and Dretzke, B.J. (1995). Mathematical self-efficacy gender
differences in gifted/talented adolescents. Gifted Child Quarterly, 39, 22-
28.
Luzzo, D.A. (1995). The relative contributions of self-efficacy and locus
of control to the prediction of career maturity. Joural of College Student
Development, 36, 61-66.
Vrugt, A. (1994). Perceived self-efficacy, social comparison, affective
reactions and academic performance. British Journal of Educational
Psychology, 64, 465-472.
Watt, S.E., and Martin, P.R. (1994). Effect of general self-efficacy
expectancies on performance attributions. Psychological Reports, 75, 951-
961.
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