General personality was assessed of 104 graduate students in school counseling, mental health counseling, and school psychology programs in the United States using the Big Five model of personality domains. The students in three programs reported similarities and differences in their preference and performance in domain knowledge, with more…

Context: A common goal of professional education programs is to recruit the students best suited for the professional career. Selection of students can be a difficult process, especially if the number of qualified candidates exceeds the number of available positions. The ability to predict academic success in any profession has been a challenging…

This study examined the relationship between 403 counseling graduate students' scores on the Counselor Preparation Comprehensive Examination (CPCE; Center for Credentialing and Education, n.d.) and 3 admissions requirements used as predictor variables: undergraduate grade point average (UGPA), Graduate Record Examinations (GRE) General Test Verbal…

A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…

The authors investigated whether undergraduates' scores on the Verbal and Quantitative tests of the Graduate Record Examinations and their undergraduate grade point average can be used to predict knowledge, personal development, and skills of graduates of counseling programs. Multiple regression analysis produced significant models predicting…

After adjusting for different background characteristics of students, effects on test scores were related to the length and type of test coaching programs offered. The data suggest that the test item types in the Graduate Record Examination General Test appear to show little susceptibility to formal coaching experiences. (Author/DWH)

Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…