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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