Undergraduate student dropout is gradually becoming a global problem and the 39 Small Islands Developing States (SIDS) are no exception to this trend. The purpose of this research was to develop a method that can be used for early detection of students who are at-risk of performing poorly in their undergraduate studies. A sample of 279 students…

The purpose of this study was to develop and evaluate a History Interest Inventory (HII) to measure Chinese K-12 students' history interest. In this study, data were drawn from two independent samples of a city in Eastern China, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to reduce instrument size…

National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…

Presents the results of multiple regression analysis, test-retest analysis, reliability analysis, exploratory factor analysis, and confirmatory factor analysis of the Computer Attitude Scale in order to assess the instrument's predictive ability, construct validity, and reliability. Findings indicate acceptable characteristics, including stability…

Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…

A Monte Carlo study was performed to test under what conditions and to what degree various alternatives would be superior to multiple linear regression (MLR). The criteria used was the mean squared error of prediction of individual scores and the mean squared error of estimation of the regression weights. Populations were simulated containing…

Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…

The purpose of this study was to use multivariate techniques in a federally-regulated validation study, and compare the results obtained from zero-order correlations and multiple correlations with the results obtained using factor scores and canonical correlation. The subjects consisted of 51 applicants for the position of patrolman. (Author/CTM)

Computer-based Monte Carlo methods compared the predictive accuracy upon replication of regression of five complete and four incomplete factor score estimation methods. Prediction on incomplete factor scores showed better double cross-validated prediction accuracy than on complete scores. The unique unit-weighted factor score was superior among…

This study investigated the relationship between measures of speed of cognitive information processing and intelligence test scores. Cognitive processing measures were significantly related to IQ scores. Reaction time tests measure cognitive operations basic to intelligence, and individual differences in intelligence are partly due to variability…

Statistical procedures are presented for determining ordinal and disordinal aptitude-treatment interactions with linear and curvilinear data. The paper presents a method for testing the homogeneity of group regressions for a single aptitude and provides models for expanding this test to linear and curvilinear regression planes. Procedures are…

The nature of the relations between traditional psychometric and Piagetian instruments is analyzed, in order to provide information relevant to the question of which type of test or combination of them will provide the most useful information to those seeking to construct and maintain optimal learning environments. Four hypotheses are posed: (1)…

Just as urban ecologists have shown that social behavior such as delinquency is related to spatial patterns, educational achievement should logically be related to socio-spatial patterns. Accordingly, the hypothesis of the present study is that school neighborhoods can be ecologically grouped so as to enhance the prediction of achievement. The…

The stability and change of verbal, non-verbal, and total IQ scores from group tests were investigated for students tested at Grades 1, 2, 4, 7, 9, and 11. Conclusions are discussed in detail, and the following recommendations are made: (1) Group intelligence tests should not be routinely administered in Grades 1 and 2 unless the users and…

An investigation was undertaken to determine how successfully an overall adjustment rating made by trained clinical raters could be predicted by means of a computer program for scoring adjustment which used only the data from a one word sentence completion instrument. Subjects for the study were 69 female college seniors at the University of…