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3.9 Methods of Data Analysis
Data collected were coded, edited, sorted and classified and finally entered into the computer.
Data cleaning was done to ensure that all entries were correctly done. Statistical Package for
Social Sciences (SPSS) version 20.0 was used to run the data before analyzing.
Data output
from SPSS were analyzed with respect to study objectives.
The data collected through
interview schedule and document analysis were summarized and transcribed under common
themes and used for triangulation of the study findings. Quantitative data was analyzed using
descriptive statistics such as means, percentages and standard deviations and inferential
statistics such as Spearman's rank correlation, Multinomial logistic Regression and Hierarchical
Multiple Regression. The inferential statistics were carried out at a confidence level of 95% and
a margin error of 5% (
α
= 0.05).
The study had five objectives and data was analyzed with regard to objectives. Specifically, the
first objective of the study was to examine the influence of self- efficacy on career decision
making among secondary school students among secondary school students in Busia County.
The second objective was to
establish the influence of academic self-concept on career decision
making among secondary school students in Busia County.
The third objective was to
determine
the influence of peer pressure on career decision making among secondary school students in
Busia County. The independent variables in objectives one to three were self-efficacy, academic
self-concept and peer pressure respectively whereas dependent variable was career decision
making. For these three objectives, Multinomial Logistic Regression (MLR) was employed to
measure the influence of independent variables (career self-efficacy, academic self-concept and
