A comparison of methods for teaching the interpretation of contingency tables
Bibliographic Data
| ID | 15316444 |
|---|---|
| Authors | Jerome Mckean (Ball State University, corresponding author), Jerome B McKean |
| Year | 1999 |
| Volume | 10 |
| Issue | 2 |
| Pages | 327-337 |
| Publication date | 1999-11-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Criminal Justice Education (JOURNAL) |
| Journal identifiers | ISSN: 1051-1253 • E-ISSN: 1745-9117 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10511259900084641 |
| OpenAlex | W2033729486 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
Reading contingency tables is a complex task involving mastery of a number of abstract concepts and an ability to generalize these concepts to tables in a variety of formats. This article describes four methods for teaching students how to interpret contingency tables. The first is a classroom exercise in which students create a “living contingency table.” In the second, students must interpret contingency tables illustrating positive and inverse relationships as well as no relationship between variables. The third requires students to build and interpret tables from EZAccess data sets. In the fourth, students construct a contingency table from hypothetical data in a spreadsheet format. It also describes the use of true-false statements to assess students' comprehension of relationships between variables in contingency tables
Comprehension · Construct (python library · Contingency · Contingency management · Contingency table · Data mining · Interpretation (philosophy · Intervention (counseling · Linguistics · Machine learning · Mathematics education · Modal · Table (database · Task (project management · Variety (cybernetics · Computer Science · Psychology · Statistics Education and Methodologies · Artificial Intelligence
| Citations per year | 0.04 |
|---|---|
| Citation span | 2001 - 2001 (1) |
| Highly cited | No |