A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…

Instrument choice is a crucial part of evaluation of professional development programmes. The use of multiple evaluation methods helps in triangulation, and offers insight into the developmental sequence involved in the changes in teacher beliefs and practice. Most current instruments are self-contained and not designed for use in conjunction with…

Combining diverse methods in a single study raises a problem: What should be done when the findings of one method of investigation conflict with those of another? We illustrate this problem using an example in which three study phases--quantitative, qualitative, and intervention--were applied. The findings coming from the quantitative phase did…

This study was undertaken to determine whether an evaluation model employing multiple methods of data collection and analysis might yield more useful information for improving lifelong learning courses than existing models. Major findings included: (1) learning satisfaction appears to be dependent on the instructional environment adults may be…