Data from: It is premature to regard the ego-depletion effect as ‘too incredible’

Hagger MS, Chatzisarantis NLD

Date Published: March 26, 2014

DOI: http://dx.doi.org/10.5061/dryad.23j8n

 

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Title Ego-depletion meta-analysis raw data
Downloaded 60 times
Description Raw data from our meta-analysis of the ego depletion effect. Columns are: (1) Ego-depletion effect size for each study in Cohen's d (standardized mean difference between experimental and control group); (2) Experimental group sample size; (3) Control group sample size; (4) Depleting task domain code, CA = controlling attention, CI = controlling impulses, CV = choice and volition, CE = controlling emotions, CT = controlling thoughts, SP = social processing, CP = cognitive processing; (5) Study authors, year and (if applicable) experiment/sample number within study. For details see: Hagger, M. S., Wood, C., Stiff, C., & Chatzisarantis, N. L. D. (2010). Ego depletion and the strength model of self-control: A meta-analysis. Psychological Bulletin, 136(4), 495-525. doi: 10.1037/a0019486
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Title Funnel plots of ego-depletion data
Downloaded 44 times
Description Funnel plots for ego-depletion effect sizes from our meta-analysis (see Hagger, M. S., Wood, C., Stiff, C., & Chatzisarantis, N. L. D. (2010). Ego depletion and the strength model of self-control: A meta-analysis. Psychological Bulletin, 136(4), 495-525. doi: 10.1037/a0019486). There are two separate plots: Standard - this is the effect size (standardized mean difference, Cohen's d) against the standard error of each study; Precision - this is the effect size plotted against the study precision (1/standard error). For description see: Duval, S., & Tweedie, R. L. (2000). Trim and fill: A simple funnel plot based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56, 455–463. Files are MS word format.
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Title Small-study effect and bias reports
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Description Word files from CMA summarising bias statistics for the ego-depletion data from our meta-analysis (Hagger, M. S., Wood, C., Stiff, C., & Chatzisarantis, N. L. D. (2010). Ego depletion and the strength model of self-control: A meta-analysis. Psychological Bulletin, 136(4), 495-525. doi: 10.1037/a0019486). There are separate files for the overall effect and each separate set of data for depleting task domain (see our meta-analysis or main ego-depletion data file in this data set for description of depleting task domains). Each file contains a description of the funnel plot, the Classic fail-safe N, Begg and Mazumdar's Rank Correlation Test, Egger's Test of the Intercept, Duval and Tweedie's Trim and Fill, and an important caveat about the interpretation of bias, which we also outline in our commentary: Hagger, M. S. (2014). Avoiding the ‘déjà-variable’ phenomenon: Social psychology needs more guides to constructs. Frontiers in Psychology, 5, 52. doi: 10.3389/fpsyg.2014.00052. It is also important to note that almost all of these data files indicate substantial heterogeniety, so may question the validity of the use of these statistics to make definitive decisions on small-study or publication bias.
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Title Ego depletion meta-analysis full raw data files
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Description Full raw data sets for our meta-analysis (Hagger, M. S., Wood, C., Stiff, C., & Chatzisarantis, N. L. D. (2010). Ego depletion and the strength model of self-control: A meta-analysis. Psychological Bulletin, 136(4), 495-525. doi: 10.1037/a0019486) including data for all moderator variables, additional dependent variable, and tests of additional 'Strength Model' hypotheses. See accompanying readme for details.
Download ego_depletion_meta.zip (59.02 Kb)
Download README.docx (15.47 Kb)
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When using this data, please cite the original publication:

Hagger MS, Chatzisarantis NLD (2014) It is premature to regard the ego-depletion effect as ‘too incredible’. Frontiers in Psychology 5:298. http://dx.doi.org/10.3389/fpsyg.2014.00298

Additionally, please cite the Dryad data package:

Hagger MS, Chatzisarantis NLD (2014) Data from: It is premature to regard the ego-depletion effect as ‘too incredible’. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.23j8n
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