As work environments become more complex and demanding, organizations are becoming more interested in measuring the impact of their human resource development programs and initiatives. With this increased attention on data and measurement, human resource professionals have been encouraged to utilize data collection and data analysis techniques to make more objective and rationale human capital decisions and to verify business impact. As a result, the human resource profession has seen a significant increase in the use of surveys to measure anything from training effectiveness to the efficacy of recruitment procedures. The increase in the use of survey instruments requires that more focused attention is placed on the reliability and validity of data from any instrument used to make important human resource and business decisions. One instrument that is currently being used to measure career plateaus and job fit is the Work Perceptions Profile. The purpose of this research study was to conduct a construct validity analysis of the Work Perceptions Profile data and to determine the factor structure of data from its items. The data in this analysis supported a two-factor model structure with the first factor measuring Work Characteristics and a second factor measuring Performance. The results of this …

In recent years, considerable concern has arisen over cross-national student’s math achievement. A number of studies focusing on eighth grade student’s math achievement have been published. However, the most important role we should consider is not only students, but also teachers. A good teaching training program could help teachers improve their teaching expertise and student’s math achievement. Moreover, most studies only focused on explained predictions of the effect between potential factors. Therefore, the purpose of this study is to implement a hierarchical linear model and cluster analysis techniques to re-examine the Trends in International Mathematics and Science Study (TIMSS) 2011 among eighth grade students in the United States (U.S.), South Korea, Singapore, and Taiwan. These techniques were applied to provide a teacher characteristics and student math achievement model and identify a new institutional typology based on the pattern of teacher characteristic types and countries. Based on these patterns and model, this study presented the findings, as well as suggestions for improving educational policies and teaching training program in, South Korea, Singapore, Taiwan, and the U.S.