KIN 3502 Exam 1 (100+ Questions) – Evaluation, Measurement, Statistics & Validity – Louisiana State University

This expert-level study guide contains over 100 verified exam questions and correct answers for KIN 3502: Measurement and Evaluation in Kinesiology at Louisiana State University (LSU) for the 2025/2026 academic year. It provides a detailed breakdown of core concepts in human performance measurement, descriptive and inferential statistics, and the logic of scientific testing—specifically tailored for Exam 1. The guide covers key topics and definitions essential to mastering kinesiology assessment and applied statistics, including: Definitions of measurement, test, and evaluation Types of evaluation: formative, summative, norm-referenced, criterion-referenced Purposes of evaluation (placement, diagnosis, motivation, achievement, prediction, program evaluation) Domains of human performance: cognitive, affective, psychomotor Scales of measurement: nominal, ordinal, interval, and ratio Central tendency and variability: mean, median, mode, standard deviation, variance, range Distribution characteristics: skewness, kurtosis, z-scores, T-scores Correlation and regression, including coefficient of determination and residuals Validity, reliability, objectivity, and feasibility Internal and external validity threats, including Rosenthal and Hawthorne effects This guide also includes applied examples and study-friendly formatting designed to reinforce core statistical reasoning in a kinesiology context. Recommended for students in: – Kinesiology – Exercise Science – Sports Science – Public Health – Pre-PT, Pre-OT, and Allied Health programs – Educational Measurement or Applied Statistics in Health Sciences Keywords: KIN 3502, measurement and evaluation, kinesmetrics, evaluation types, norm-referenced, criterion-referenced, formative evaluation, summative evaluation, cognitive domain, psychomotor domain, affective domain, reliability, validity, objectivity, feasibility, descriptive statistics, standard deviation, mean, median, mode, variance, skewness, kurtosis, z-scores, t-scores, correlation, regression, prediction models, internal validity, external validity, LSU kinesiology