Deidre Popovich

Rawls College of Business, Texas Tech University

Assistant Professor of Marketing

Lubbock, TX 79409

United States

SCHOLARLY PAPERS

8

DOWNLOADS

378

SSRN CITATIONS

5

CROSSREF CITATIONS

0

Scholarly Papers (8)

1.

Toward a More Nuanced Understanding of the Statistical Properties of a Median Split

Journal of Consumer Psychology 25, 4 (2015) 652-665
Number of pages: 14 Posted: 22 Sep 2015 Last Revised: 19 Feb 2016
Vanderbilt University - Marketing, Vanderbilt University - Marketing, University of Cincinnati - Department of Marketing, Northwestern University - Integrated Marketing Communications Program and Rawls College of Business, Texas Tech University
Downloads 199 (165,696)
Citation 7

Abstract:

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Median split, Median-split, Dichotomization, Categorization

2.

The Median Split: Robust, Refined, and Revived

Journal of Consumer Psychology 25, 4 (2015) 690-704
Number of pages: 15 Posted: 23 Sep 2015 Last Revised: 19 Feb 2016
Vanderbilt University - Marketing, Vanderbilt University - Marketing, University of Cincinnati - Department of Marketing, Northwestern University - Integrated Marketing Communications Program and Rawls College of Business, Texas Tech University
Downloads 129 (239,069)

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Median Split, Median-Split, Dichotomization, Categorization

3.

Eigenvector Centrality: Illustrations Supporting the Utility of Extracting More Than One Eigenvector to Obtain Additional Insights into Networks and Interdependent Structures

Journal of Social Structure, 18 (2), 1-22, 2017
Number of pages: 22 Posted: 11 Oct 2017 Last Revised: 18 Nov 2017
Dawn Iacobucci, Rebecca McBride and Deidre Popovich
Vanderbilt University - Marketing, Calvin College and Rawls College of Business, Texas Tech University
Downloads 26 (526,410)

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centrality, eigenvector centrality, social networks

4.

Behavioral and Lifestyle Influences on Reported Calorie Intake: A Latent Class Model

Popovich, Deidre (2017), "Behavioral and Lifestyle Influences on Reported Calorie Intake: A Latent Class Model," Journal of Consumer Marketing, 34 (3), 214-225. doi:10.1108/JCM-06-2016-1849
Number of pages: 34 Posted: 31 Dec 2018
Deidre Popovich
Rawls College of Business, Texas Tech University
Downloads 8 (643,283)

Abstract:

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Nutrition, Diet, Health, Calories, Latent class

5.

In Social Network Analysis, Which Centrality Index Should I Use? Theoretical Differences and Empirical Similarities among Top Centralities

Journal of Methods and Measurement in the Social Sciences, Vol. 8, No. 2, 72-99, 2017
Number of pages: 28 Posted: 25 Jul 2019
Vanderbilt University - Marketing, Calvin College, Rawls College of Business, Texas Tech University and HEC Paris - Marketing
Downloads 6 (657,366)
Citation 1

Abstract:

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centrality; degree; closeness; betweenness; eigenvector centrality; social networks

6.

Mean Centering, Multicollinearity, and Moderators in Multiple Regression: The Reconciliation Redux

Behavior Research Methods, 49, 403-404 (2017)
Number of pages: 4 Posted: 29 Jul 2019
Vanderbilt University - Marketing, Northwestern University - Integrated Marketing Communications Program, Rawls College of Business, Texas Tech University and Stetson University
Downloads 4 (672,056)
Citation 1

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moderated regression, mean center

7.

Confidence Intervals for Assessing Sizes of Social Network Centralities

Social Networking, 2018, 7, 220-242
Number of pages: 23 Posted: 25 Jul 2019
Vanderbilt University - Marketing, Calvin College, Rawls College of Business, Texas Tech University and HEC Paris - Marketing
Downloads 4 (672,056)

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Centrality, Degree, Closeness, Betweenness, Eigenvector Centrality, Social Networks

8.

Mean Centering Helps Alleviate 'Micro' But Not 'Macro' Multicollinearity

Behavior Research Methods, 48, 1308-1317 (2016)
Number of pages: 32 Posted: 29 Jul 2019
Vanderbilt University - Marketing, Northwestern University - Integrated Marketing Communications Program, Rawls College of Business, Texas Tech University and Stetson University
Downloads 2 (690,083)

Abstract:

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Mean centering, Multicollinearity, Moderated multiple regressions, Interactions in regression