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Students’ Prior Degree Performance as Predictor of their Performance Research Examination (GRE) scores and graduate grade point average (GPA) in graduate studies. Ahmadi et.al. (1997) used bi-variate regression models to examine the relationship between graduate GPA and a number of factors and found that undergraduate GPA and GMAT were significant variables in predicting academic success. They reported a study done by Edwards (1990) who surveyed 657 accredited institutions to study the admission process for their MBA programmes. Out of 333 responses received, all but one of the responding schools used some sort of admission testing. The researcher found that John Hopkins does not require candidates to submit pre-admission test scores such as GMAT. Some other graduate programmes including Standford, Boston College, and University of Indiana, at Bloomington require submission of GMAT score for consideration, but do not mandate a minimum acceptable score. The most popular decision method for most MBA programmes was an index system based on GMAT score and undergraduate GPAs. From the responding schools, 177 respondents used an index, 81 imposed a minimum test score in addition to applying an index, and the rest used a minimum test score without applying an index. Naik et. al. (2004) in their review of research reported that Paolillo (1982) employed step by step regression in his study and found that the applicant’s junior and senior undergraduate grade point average was the first variable to enter into the equation; Schwan (1988) found GGPA to be significantly correlated with GMAT scores, undergraduate grade point average, and junior/senior grade point average among Murray State University MBA students. However, Wright and Palmer (1997) used analysis of variance to examine GMAT scores among groups of graduate students and concluded that the use of total GMAT scores in the admission process may be misleading and more attention should be paid to specific verbal and quantitative components. Murray (1972) compared a group of MBA students who had graduated from the programme at Hofstra University in June, 1970 and February, 1971, with a group of 17 students who had withdrawn from the programme at earlier points. Five predictor PAKISTAN BUSINESS REVIEW OCTOBER 2011 466
Research Students’ Prior Degree Performance as Predictor of their Performance variables were identified: undergraduate GPA; undergraduate business concentration GPA; total, quantitative scores on the ATGSB ( Admission Test for Graduate Study in Business).; graduation versus withdrawal; and overall graduate GPA. The results of the study show that undergraduate GPA and undergraduate business concentration GPA are the most effective success predictors. ATGSB, however, proved to be the least effective predictor. Malik (2010) studied the scores (percentage marks) of students at SSC, Intermediate, and degree levels as predictors of their performance in MBA. Sixty (60) students who graduated in 2009 from IoBM Karachi, formed sample for the study. The data was collected personally by the researcher from the official records of the University. Regression Analysis and ANOVA were used for the analysis of data. SPSS was used to analyze the data. The study concluded that performance of students at Bachelor level was the strongest predictor of CGPA at MBA level. When performance at Bachelor level was analyzed, only the male performance was a significant predictor of the CGPA in MBA.. Significant differences were found between the contribution of the pre-degree performance of the BBA, B.com. and B.sc. groups as predictors of CGPA in MBA. The BBA performance of the male students was a strong predictor of CGPA at MBA level. Summary of the predictors of the students’ performance in medicine and business administration (MBA) based on the review of research is presented in Summary table 9. II. Methodology This paper aims at studying the students’ performance in the pre –admission variables (Percentage in SSC, Intermediate, and Bachelor degree) as predictors of their performance at MBA level. The study tested the following null hypotheses: 1. Students’ scores at SSC, Intermediate, and Bachelor levels are not significant predictors of CGPA at MBA level. 467 PAKISTAN BUSINESS REVIEW OCTOBER 2011
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