3 Important Neuropsychological Assessment

Introduction Neuropsychological assessment integrates principles from psychology and neuroscience to evaluate cognitive, emotional, and behavioral functioning related to brain integrity. As Lezak (1995) notes, it serves as a vital bridge Read More…

2 Important Learning Disability Assessment

Introduction Learning disability (LDs), often referred to as specific learning disorders (SLDs), are neurodevelopmental conditions characterized by persistent difficulties in reading, writing, or mathematical reasoning skills, despite normal intelligence and Read More…

2 Important Personality Inventories: MMPI-3 and MCMI-IV

Introduction The assessment of personality is a cornerstone of clinical psychology, offering insight into an individual’s enduring patterns of thinking, feeling, and behaving (Sarason & Sarason, 2005). Personality inventories provide Read More…

STAI and 2 Important Types of Anxieties

Introduction Anxiety is a central topic in psychology and psychiatry, manifesting both as a transient state and a stable trait. Differentiating between temporary situational anxiety and an individual’s predisposition to Read More…

Point-Biserial, Phi Coefficient, Biserial, and Tetrachoric Correlation: 4 Important Types of Correlation

Introduction In psychological and educational research, not all variables are continuous. Many important variables — such as gender, pass/fail outcomes, yes/no responses, or item correctness — are dichotomous (i.e., having Read More…

Percentiles, Percentile Ranks, and Standard Scores: 3 Important Concepts in Statistics

Introduction In psychological and educational measurement, one of the major challenges is interpreting individual performance in a way that is meaningful, accurate, and comparable across different tests, populations, and contexts. Read More…

3 Types of Psychological Scaling and Their Important Strengths-Limitations

Introduction Psychological scaling is a method used to quantify the relationship between physical stimuli and the sensations and perceptions they produce. It bridges the gap between objective physical measurements and Read More…

Factor Analysis and 3 Important Types of Factor Extraction Methods

Introduction Factor analysis is a statistical method used to identify latent structures within a set of observed variables. Its primary purpose is to uncover unobservable, underlying factors (latent variables) that Read More…