{"title":"Predictive Validity of Pre-University Examinations Test Scores for University Science Undergraduates' Academic Achievement in South West, Nigeria.","authors":"L. O. Gbore","doi":"10.26634/JSCH.8.1.1914","DOIUrl":null,"url":null,"abstract":"This study examined the predictive validity of pre-university examinations test scores (university matriculation examination (UME), Post-UME and pre-degree) for undergraduate academic achievement. The study is planned along the lines of correlational and ex-post-facto research design. A sample of four hundred university science based undergraduates admitted 2006/2007 session which was made up of 100students selected from each of the four purposively selected universities from south west Nigeria using stratified sampling technique Participated in the study. An inventory titled “mode of entry characteristics and academic achievement proforma” was used to collect data from records. The data were subjected to Pearson Product Moment Correlation and multiple regression (Backward solution) analysis. Result reveled that as much as 17.1% of the variations in CGPA is explained by the linear combination of three predictor variables, while pre-degree scores indicated significant contribution to the prediction, UME showed negative contribution to the prediction. The result also showed that significant relationship exists between the independent variables (Pre degree, Post UME scores) and CGPA while there was low relationship between UME and CGPA. Based on the findings of the study, there is need to further strengthen and uphold the pre-degree programme and post-UME tests for continuous utilization as means of recruiting viable candidates for university admission purpose.","PeriodicalId":242221,"journal":{"name":"Journal on School Educational Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal on School Educational Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26634/JSCH.8.1.1914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study examined the predictive validity of pre-university examinations test scores (university matriculation examination (UME), Post-UME and pre-degree) for undergraduate academic achievement. The study is planned along the lines of correlational and ex-post-facto research design. A sample of four hundred university science based undergraduates admitted 2006/2007 session which was made up of 100students selected from each of the four purposively selected universities from south west Nigeria using stratified sampling technique Participated in the study. An inventory titled “mode of entry characteristics and academic achievement proforma” was used to collect data from records. The data were subjected to Pearson Product Moment Correlation and multiple regression (Backward solution) analysis. Result reveled that as much as 17.1% of the variations in CGPA is explained by the linear combination of three predictor variables, while pre-degree scores indicated significant contribution to the prediction, UME showed negative contribution to the prediction. The result also showed that significant relationship exists between the independent variables (Pre degree, Post UME scores) and CGPA while there was low relationship between UME and CGPA. Based on the findings of the study, there is need to further strengthen and uphold the pre-degree programme and post-UME tests for continuous utilization as means of recruiting viable candidates for university admission purpose.
本研究考察了大学预科考试成绩(大学预科考试、大学预科考试和学位预科)对本科学业成绩的预测效度。这项研究是按照相关性和事后研究设计的思路进行规划的。采用分层抽样技术,从尼日利亚西南部有目的选择的四所大学中各选出100名学生,抽样了2006/2007届录取的400名大学理科本科生参加了这项研究。一份名为“入学特征模式和学术成就形式”的清单用于从记录中收集数据。数据进行Pearson积差相关和多元回归(Backward solution)分析。结果表明,三个预测变量的线性组合解释了高达17.1%的CGPA变化,其中学位前分数对预测有显著贡献,而UME对预测有负贡献。自变量(Pre degree, Post UME)与CGPA之间存在显著的相关关系,而UME与CGPA之间的相关关系较低。根据这项研究的结果,有必要进一步加强和维持学位前课程和大学文凭后的考试,以便继续利用这些考试来招募可行的考生,以供大学录取。