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  • 1.  Request for unpublished or recently published data on materialism for meta-analysis

    Posted 07-08-2013 12:43
    Hello all,

    I’m working with some colleagues (Jill Sundie and L.J. Shrum) 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    interested in any unpublished data that relate to the variables we describe.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).

    The ideal form is a correlation matrix for any of the variables that fit our
    criteria (noted above), 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 L.J. Shrum with any questions you may have at SHRUM@hec.fr

    Thanks,

    Dan Beal
    Associate Professor
    Department of Psychology
    University of Texas at San Antonio
    daniel.beal @utsa.edu


  • 2.  Request for unpublished or recently published data on materialism for meta-analysis

    Posted 07-09-2013 10:50
    Dan,

    It is nice to see one doing a thorough literature search. In case you did not know, the APA style manual has "MARS" guidelines for reporting meta-analyses.  The meta-analyses in our field would get a lot better if more of us followed the guidelines and if more of our editors and reviewers would read them and give them deference. 

    Relative to other fields, the reporting of management meta-analyses is pretty bad. The MARS guidelines address publication bias as "data censoring." A comparison of published and unpublished studies is an inadequate check on publication bias. There may be publication bias within the published studies and their may be publication bias (accessibility bias) in the unpublished studies. The publication bias may be in the same direction or in the opposite direction in the two groups of studies. You don't know until you look.  It is particularly problematic to assert that the unpublished studies that you have obtained are representative of all unpublished studies (see Ferguson & Brannick, 2012, Psy Methods). You may wish to consult the Kepes et al paper (2012) in ORM for an example of good publication bias analyses.

    Also Sven Kepes and I are running a PDW on publication bias at AOM on 6 pm on Friday. I am not sure how we ended up with this PDW time that conflicts with social activities. However, we will be there, and hopefully, those doing meta-analyses and those interested in publication bias will show up.

    Best wishes,

    Mike


    On Mon, Jul 8, 2013 at 12:42 PM, Dan Beal <daniel.beal@utsa.edu> wrote:
    Hello all,

    I'm working with some colleagues (Jill Sundie and L.J. Shrum) 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).

    The ideal form is a correlation matrix for any of the variables that fit our
    criteria (noted above), 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 L.J. Shrum with any questions you may have at SHRUM@hec.fr

    Thanks,

    Dan Beal
    Associate Professor
    Department of Psychology
    University of Texas at San Antonio
    daniel.beal @utsa.edu




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    Michael A. McDaniel, Ph.D.
    Professor - Human Resources and Organizational Behavior, 
    Department of Management, 
    Research Professor, Department of Psychology
    Virginia Commonwealth University
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