This is a concise, easy to use, step-by-step guide for applied researchers conducting
exploratory factor analysis (EFA) using SPSS. In this book, Dr. Watkins systematically …

When planning experimental research, determining an appropriate sample size and using
suitable statistical models are crucial for robust and informative results. The recent …

The purpose of this tutorial is to discuss and demonstrate how to write safe, effective, and
intuitive computer code for Monte Carlo simulation experiments containing one or more …

Meteorological extremes such as heatwaves and water limitations during the ripening
season could negatively impact vine ecophysiology and berry metabolism resulting in lower …

In existing studies, it has been argued that factor analysis (FA) is equivalent to item response
theory (IRT) and that IRT models that use different functions (ie, logistic and normal ogive) …

With the popularity of online education, understanding and improving the beginning online
instructors' teaching competencies is crucial to improve online education. The structure of …

Coefficient alpha is commonly used as a reliability estimator. However, several estimators
are believed to be more accurate than alpha, with factor analysis (FA) estimators being the …

The regeneration of wastewater has been recognized as an effective strategy to counter
water scarcity. Nonetheless, Wastewater Treatment Plant (WWTP) effluents still contain a …

This paper explores relationships amongst cross-lagged models allowing trajectories to be
freely estimated, some accounting for time-varying differences amongst individuals …

The existence of latent clusters with different responses to a treatment is a major concern in
scientific research, as latent effect heterogeneity often emerges due to latent or unobserved …