As a replication in the Chinese context of previous aptitude testing validation studies, this research aims at exploring the validity of an interpreting aptitude test battery, composed of the Logical Memory Test (LMT), the Scale of Language Anxiety (SLA) and the Achievement Motivation Test (AMT), in the prediction of consecutive interpreting…

The present paper suggests that multivariate techniques are very important in social science research, and that canonical correlation analysis may be particularly useful. The logic of canonical analysis is explained and discussed. The necessity of using replicability/generalizability analyses is argued. It is suggested that cross-validation…

The statistical methods presented in this workbook focus on the display of central tendency, statistical tests, and correlation. Chapters 2, 3, and 4 consist of worksheets, each of which provides step-by-step instructions for calculating and interpreting a particular statistical method. The introduction to each worksheet explains how and when to…

Scores on standardized tests may be expressed in a variety of different modes. Raw scores, grade equivalents, percentile ranks, stanines, and standard scores are the major types in use today. The study investigated whether the mode or scale used to express scores affected the magnitude of group statistics, specifically, t and r (the t-test of the…

The use of stepwise regression has been criticized for both interpretive misunderstandings and statistical aberrations. A major statistical problem with stepwise regression and other procedures that involve multiple significance tests is the inflation of the Type I error rate. General approaches to control the family-wise error rate such as the…