This short course will provide a hands-on introduction to statistics used in educational research and evaluation. Participants will learn statistical concepts, principles, and procedures by building Excel spreadsheets from scratch in a guided learning approach using short video-based tutorials. Examples of specific skills to be learned include scales of measurement, measures of central tendency, measures of variability, and the computation of the following: mean, mode, and median, standard deviation, z (standard) scores, Pearson product-moment correlation coefficient (r), correlated-samples t test (i.e. dependent t test), independent-samples t test (i.e. independent t test), and a one-way analysis of variance (ANOVA).
The course is designed primarily for two audiences: 1) educational professionals who would like to be more informed about how to compute basic statistics and how to use them intelligently in their work; and 2) first-year doctoral students who want a short and friendly introduction (or brush up) to basic statistics before taking full graduate-level statistics courses. However, this course would be useful to anyone who wants a good, short, hands-on, friendly introduction to the most fundamental ideas of statistics in education.