This note demonstrates that the widely used Bayesian Information Criterion (BIC) need not be generally viewed as a routinely dependable index for model selection when the bifactor and second-order factor models are examined as rival means for data description and explanation. To this end, we use an empirically relevant setting with…

Bayesian approach is becoming increasingly important as it provides many advantages in dealing with complex data. However, there is no well-defined model selection criterion or index in a Bayesian context. To address the challenges, new indices are needed. The goal of this study is to propose new model selection indices and to investigate their…

Nowadays, with increasing competitiveness in every field, securing a good job may be difficult. In this connection, students aiming to get into the best educational institution (EI) would give them their best chance of quality education and good job opportunities. Institutional evaluation and selection are complex tasks that must simultaneously…

This qualitative case study explored the perceptions of hiring administrators in a suburban Pennsylvania school district regarding the influence of the Danielson Framework for Teaching (DFT) on the district teacher hiring practices. At the time of this study, research had shown that, out of all other factors, teachers had the largest influence on…

This participatory action research aims to (1) construct a classroom research development model for Thai tertiary lecturers in the three southern border provinces and (2) evaluate their classroom research performance. Through voluntary participation, the target group comprises 40 lecturers in Thailand, specifically from Prince of Songkla…