Campus Units

Chemistry

Document Type

Article

Publication Version

Published Version

Publication Date

2015

Journal or Book Title

Journal of Chemical Education

Volume

92

Issue

12

First Page

2045

Last Page

2053

DOI

10.1021/acs.jchemed.5b00180

Abstract

As part of the ACS Examinations Institute (ACS-EI) national norming process, student performance data sets are collected from professors at colleges and universities from around the United States. Because the data sets are collected on a volunteer basis, the ACS-EI often receives data sets with only students’ total scores and without the students’ responses to individual exam questions. Nonetheless, several national norming statistics require students’ item responses. This data return leads to missing data and potentially biased results when inferences are made based on that data set. This work uses student performance data sets from ACS-EI to consider how methods for replacing missing data, such as hot-deck imputation and simulating data, affect the nature of the analysis of quantitative data.

Comments

Reprinted (adapted) with permission from J. Chem. Educ., 2015, 92 (12), pp 2045–2053. Copyright 2015 American Chemical Society.

Copyright Owner

American Chemical Society

Language

en

File Format

application/pdf

Share

COinS