Published: 1 Apr 2019 | Version 2 | DOI: 10.17632/t2mdstdy28.2

Description of this data

All data files are related to the study De Groeve, B, Bleys, B., & Hudders, L. (2019). Okay to promote eating less meat, but don’t be a cheat – The role of dietary identity, perceived inconsistency and inclusive language of an advocate in legitimizing meat reduction. Appetite, x, x-x. doi: https://doi.org/10.1016/j.appet.2019.03.031

Experiment data files

Steps to reproduce

All main analysis were conducted using IBM SPSS Statistics 25 for Windows using SPSS macro PROCESS version 3.0. To reproduce the models:

  1. Open "Data_LessMeatDontCheat.csv" in SPSS. Check "Overview_of_main_study_variables.csv" for more information about the variables used in the models.
    (Check "Overview_of_all_measured_variables.csv" for more information about all the measured variables.)
  2. Go to "Analyze > Regression > PROCESS v3.0 by Hayes" and run a random model to allow to use syntax.
  3. Open Syntax ("File > New > Syntax").
  4. Go to "AnalysisScipt_LessMeatDontCheat.odt", copy the syntax codes of interest in syntax, and run the models.

Latest version

  • Version 2


    Published: 2019-04-01

    DOI: 10.17632/t2mdstdy28.2

    Cite this dataset

    De Groeve, Ben; Bleys, Brent; Hudders, Liselot (2019), “LessMeatDontCheat”, Mendeley Data, v2 http://dx.doi.org/10.17632/t2mdstdy28.2


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Meat, Health Campaign, Vegetarianism, Social Marketing, Social Identity Theory


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The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

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This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.