Respondents Personal Information as Predictors to the Factors that Influence Academic Performance of Learners

Abstract

The purpose of the study was to determine which of the respondents profile information best predicts the academic performance among learners. A total of 100 learners were selected using the random sampling technique in Binugao National High School in Davao City, Region XI. The study utilized a descriptive- correlation design. An adapted survey questionnaires were utilized which centered on respondents personal information and academic performance. Percentage, Mean, Pearson r, and regression analysis were used as statistical tools of the study. Results revealed on the percentage of respondent profile information among learners in terms of gender, age and parental annual income is 100 percent. The extent of academic performance among learners in terms of student related factor is mostly extensive; in terms of school related factor is sometimes extensive; in terms of home related factor is sometimes extensive; and in terms of teacher related factor is sometimes extensive. Clearly, the findings inferred a strong significant relationship between the respondent profile information and academic performance among learners. Based on the result of the analysis, the respondent profile information namely: gender, age and parental annual income predicts academic performance of the learners by registering a p-value of .001 which is less than .05 in the level of significance. This leads to the rejection of the null hypothesis. Further, the result indicates that for every unit increase in three facets of respondent profile information, the academic performance among learners will also increase by 3.498 holding other factors constant.