This example introduces one-way ANOVA. This method allows researchers to compare the means of a single variable for more than two subsets of the data to evaluate whether the means for each subset are statistically significantly different from each other or not. This technique builds on the t-test for difference of means but extends it to the situation where there are more than two groups for which we wish to make comparisons. We illustrate this using a subset of data derived from a psychological study of disgust sensitivity: “Demographic influences on disgust: evidence from a heterogeneous sample”. This experiment was carried out in Israel in 2011 and 2012 by Uri Berger and David Anaki. Henceforth we refer to these data as DISGUST2012. Specifically, we test ...
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Berger, U., & Anaki, D. (2015). Data from “demographic influences on disgust: evidence from a heterogeneoussSample”. Journal of Open Psychology Data, 3: e1. doi: http://dx.doi.org/10.5334/jopd.ag
Data from “Demographic Influences on Disgust: Evidence from a Heterogeneous Sample”
Uri Berger, Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel
David Anaki, Department of Psychology and Gonda Interdisciplinary Center for Brain Research, Bar-Ilan University, Ramat-Gan, Israel
Israeli Science Foundation grant 841/10 to D. Anaki.
Adult Israeli residents
Israel (Tel-Aviv, Jerusalem, Haifa, Be'er-Sheba)
- Wahed, A., & Tang, X. (2010). Analysis of variance (ANOVA). In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 27–30). Thousand Oaks, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781412961288.n11
- Turner, J. R. (Ed.). (2001). Introduction to analysis of variance. Thousand Oaks, CA: SAGE Publications, Inc. doi: http://dx.doi.org/10.4135/9781412984621
- Huizingh, E. (2007). 17 Analysis of variance. In Applied statistics with SPSS (pp. 277–290). London: SAGE Publications, Ltd. doi: http://dx.doi.org/10.4135/9781446249390