1 / 6

Statistics in Educational Research

Statistics in Educational Research. Rebecca Henry, Ph.D. OMERAD College of Human Medicine Michigan State University. Working With Statisticians. What will s/he want from you? The Research Question/Purpose ---Uhhh! Keep it Simple Description of Design 2 Group Case Control

chuong
Download Presentation

Statistics in Educational Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Statistics in Educational Research Rebecca Henry, Ph.D. OMERAD College of Human Medicine Michigan State University

  2. Working With Statisticians • What will s/he want from you? • The Research Question/Purpose • ---Uhhh! Keep it Simple • Description of Design • 2 Group Case Control • Medical School Dropouts • Medical School Graduates • Cross Sectional Survey of Preceptors • Description of Variables IV & DV • Level of Measurement • Nominal/Dichotomous • Ordinal • Interval

  3. Components of the Research Question/Hypothesis Variables Independent (predictor) The variable that is doing the causing or explaining. Examples: Gender, educational interventions, SES can all be powerful explainers or influences of outcome.

  4. Dependent (criterion or outcome) A variable that is expected to be affected by an independent variable. Examples: Test scores, practice choice, satisfaction and performance abilities are often influenced by other variables. Caution - some studies don’t distinguish this way. For example, a relationship study that examined scores on NLME Part II with a department developed exam

  5. Nominal: Categorical Male - Female Better - Worse Learning Styles Ordinal: Order Class Rank Tumor Classification Hi - Med - Low Interval: Equal Distance Between Point Temperature IQ Scores Standardized Measures Lickert Scales Cost Ratio: Meaningful Zero Height Weight Levels of Data

  6. INDEPENDENT Nominal (2 values) Nominal (> 2 values) Interval DEPENDENT NOMINAL NOMINAL INTERVAL (2 VALUES) (> 2 VALUES) t/z Test Chi-square Chi-square (Mann Whitney U) Analysis of Chi-square Chi-square Variance (ANOVA) Correlation/ Logistic Discriminant regression regression analysis Bivariate Analysis

More Related