Locus of control and self-efficacy as predictors of academic achievement among form three students in Nyamaiya division, Nyamira county, Kenya.
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Date
2014-10-01
Authors
Onkundi, Evans Moracho
Journal Title
Journal ISSN
Volume Title
Publisher
Kenyatta University
Abstract
A study will be conducted to determine whether academic performance could be
predicted on the bases of the constructs; locus of control and academic selfefficacy.
Five objectives will guide the study: to establish relationship between
student's academic achievement and locus of control and academic self-efficacy,
establish gender differences in locus of control and academic self-efficacy and
determine the interaction effect of locus of control and academic self-efficacy in
predicting student academic achievement. Two theories will guide this study:
attribution theory and social cognitive theory (self-efficacy theory). The study
will adopt a correlation research design and both descriptive and inferential
statistics will be employed to analyze the data. The findings of this study may
enable teachers and parents to assist students develop a positive self believe that
they can achieve academic success. Three schools will be sampled using stratified
random sampling. The school sample will have a total of 3 schools i.e. 1 boy
school, 1 girl school and 1 mixed school. Using simple random sampling, 150
students will be sampled from the three schools from Nyamaiya Division,
Nyamira County, Kenya. Two research instruments-an Academic Self-Efficacy
Scale (ASES) and a modified Crandall's Intellectual Achievement Responsibility
(IAR) questionnaire will be used in data collection. IARQ will be used to measure
participants' locus of control and the ASES to measure self-efficacy. Scores on
academic performance will be obtained through document analysis by computing
mean scores from three consecutive end-of-term examinations results English,
Kiswahili and Mathematics. The relationship between two independent variables
(self-efficacy and locus of control) and dependent variable (academic
achievement) will be tested using Pearson Product Moment Correlation
coefficient. However, relationship among the three variables will be determined
using the multiple regression and F- test analysis at 0.05 alpha levels. The results
of the data analysis were presented in frequency tables.
Description
School of Education