Selected Predictors Of Academic Achievement Among Form Three Students In Public Secondary Schools In Kiambu County, Kenya

ABSTRACT

In the last five years (2013 to 2017), poor academic achievement has been experienced in Kiambu County. This is despite government‟s interventions and education being an important sector in individual and national development. Most researchers attribute this to socio-cultural and classroom environmental factors. Yet there could be certain personal factors affecting students‟ academic achievement. The study was therefore designed to determine the relationships among students‟ achievement goal orientation, perceived competence and academic achievement in Kiambu County. Differences in achievement goal orientation and perceived competence due to school type were also tested. The study was guided by the goal orientation theory and intelligence theory. The research adopted mixed methods sequential explanatory design. The study targeted all Form Three students in Kiambu County in 2017. Purposive sampling was used to select Gatundu South Sub-County. Using stratified random sampling, 12 schools were selected. Through proportionate stratified sampling, one girls‟ only and one boys‟ only boarding, one co-educational boarding and nine co-educational day schools were selected. Simple random sampling was used to select 665 participants. Achievement goal orientation and perceived competence scales were adopted and used to measure achievement goal orientation and perceived competence respectively. A pilot study on 40 students was conducted in a school within the County. Purposively, 40 respondents were selected from those who filled the questionnaires for an interview to cross check the quantitative data. Academic achievement was inferred from students‟ examination grades obtained from school records. The quantitative data was analyzed using SPPS version 21. Qualitative data was analyzed thematically. Data collected was analyzed using both descriptive and inferential statistics. To examine relationships among variables and school type differences, Pearson Product Moment Correlation Co-efficient and Analysis of Variance were used respectively. Hypotheses were tested p