130
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

A Computer-Assisted Instruction in Teaching Abstract Statistics to Public Affairs Undergraduates

Pages 251-257 | Published online: 08 Aug 2012
 

Abstract

This article attempts to demonstrate the applicability of a computer-assisted instruction supported with simulated data in teaching abstract statistical concepts to political science and public affairs students in an introductory research methods course. The software is called the Elaboration Model Computer Exercise (EMCE) in that it takes a great deal of its form from the model based on the pioneering work of Paul F. Lazarsfeld. This article presents EMCE and discusses the impetus of creating this tool for an audience who has a weak foundation of statistics.

Notes

EMCE is created and used by two methods instructors (School of Public and International Affairs, North Carolina State University (NCSU)) in teaching undergraduate methodology course. The software is donated to School of Public and International Affairs (SPIA) and accessible to all NC State University faculty, staff, and students.

In order to conclude that it is a spurious relationship, a researcher should prove two conditions occurring within a bivariate relationship: (a) The test variable must be antecedent to both the independent and dependent variables, and (b) the partial relationships must be zero or less than those found in the original relationship.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 365.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.