Materialism Studies
Introduction
L. J. Shrum, Jill Sundie and Dan Beal are looking for unpublished or recent studies on materialism and its relation to well-being and demographics
I’m working with some colleagues (Jill Sundie and Dan Beal) on a meta-analysis project that focuses on materialism and its relation to measures of well-being (e.g., self-esteem, life satisfaction, money problems, compulsive consumption, etc.). In addition, we are including certain demographic variables (e.g., gender/sex, socioeconomic status/income, age, family structure, education level). We are also looking at effects as a function of the different dimensions (or facets, subscales, etc.) of materialism when the scale measures use them (e.g., Belk, Richins, but particularly Richins).
Our literature search through current data bases has provided us with most studies already published. However, if you have recently published (e.g., last 12 months) any studies that fit our criteria, we would be grateful if you could forward to us the citation (or article). In addition, we are interested in any unpublished data that relate to the variables we describe. These data may include studies that did not find a home or works in progress (including, of course, nonsignificant results).
If you do have studies that fit our criteria and would like them included in our meta-analysis, please note that the data need to conform to fairly strict criteria: we need the simple direct (zero-order) correlations, as partial correlations or multiple regression coefficients can’t be used.
Thus, the ideal form is a correlation matrix for any of the variables that fit our criteria (noted earlier), along with reliabilities of the measures, number of participants, and sample characteristics (e.g., culture, adult vs. child, etc.). However, because we are interested in examining the dimensions of materialism scales separately, we realize it may be more difficult if you have not already computed them. Thus, if computing or retrieving the correlations for the dimensions of materialism is difficult or time consuming, we would be happy with just the raw data for any of the variables listed above and the materialism items (stripped of any participant identifiers, of course), and we can go ahead and compute the needed correlations.
Please contact me with any questions you may have atSHRUM@hec.fr
Best regards,
L. J.
L. J. Shrum
Professor of Marketing
HEC Paris
1, rue de la Libération
78351 Jouy-en-Josas cedex
FRANCE
33 1 39 67 74 80 (office)
33 6 89 31 79 91 (mobile)
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