A Regression Analysis of Mathematics Achievement on Achievement Motivation Factors. A Case Study of Secondary School Students in Busia County, Kenya
Brian Mukani Okaka,
Dr. Josephine Mutua and
Dr. Jotham Dinga
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Brian Mukani Okaka: Masters student Kenyatta University
Dr. Josephine Mutua: Lecturer Kenyatta University
Dr. Jotham Dinga: Lecturer Kenyatta University
International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 3, 300-311
Abstract:
A majority of KCSE candidates in Samia Sub-County have been performing below average in mathematics. Studies have been conducted to address this problem but significant progress has not been achieved. To address this problem, this study sought to examine achievement motivation as a predictor of mathematics achievement in order to come up with a model that can be used to predict mathematics achievement. The study was anchored on achievement theory of motivation by McClelland (1985). Quantitative research methodology was adopted with a correlational research design. The target population for this study was 5395 Form three students in 28 public secondary schools in Samia Sub-County. Purposive sampling, proportionate sampling and simple random sampling techniques were used to select the participants. A sample size of 361 students was selected from a target population of 5395. Academic motivation scale and mathematics achievement score sheet were used to collect data. Pilot study was conducted among 30 students in one public secondary school in Samia Sub-County to establish the validity and reliability of achievement motivation scale. The researcher conducted a number of descriptive statistics such as mean, percentage, and standard deviation to describe the study variables. Inferential statistics was used to test the research hypotheses. Results revealed that achievement motivation score had a strong, positive and significant relationship with mathematics achievement, r (346) = .76, p
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:8:y:2024:i:3:p:300-311
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