This guide explains the focus, rigor, and relevance of qualitative research, highlighting its
role in dissecting complex social phenomena and providing in-depth, human-centered …

Research on the relationship between the digital traces of students in Learning
Management Systems (LMS) and their academic performance has traditionally been an …

Abstract Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of
machine learning systems. For instance, in autonomous driving, we would like the driving …

Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …

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 …

Researchers often lack knowledge about how to deal with outliers when analyzing their
data. Even more frequently, researchers do not pre-specify how they plan to manage …

While methods of detecting outliers is frequently implemented by statisticians when
analyzing univariate data, identifying outliers in multivariate data pose challenges that …

The ongoing pandemic of COVID-19 has forced governments to impose a lockdown, and
many people have suddenly found themselves having to reduce their social relations …

Abstract Space anomaly detection plays a critical role in safeguarding the integrity and
reliability of space systems amid the rising tide of threats. This survey aims to deepen …

This study examines the relationships among human value connotations (instrumental and
terminal), product involvement, perceived marketplace influence, and choice behavior in the …