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. 2019 Jul 19;2(1):16. doi: 10.5334/joc.72

Table 6.

Intraclass correlations for between-groups designs. The table shows that the intraclass correlations mostly reached the desired level of ICC2 = .80 when multiple observations were made per condition and all the items used. In general, this improved the interpretation (see in particular the study of Pyc & Rawson, 2010). At the same time, for some dependent variable (e.g., rating scales) rather stable data can be obtained with a few questions (see the study by Wilson et al., 2014).

Study Dependent variable N parts N conditions Nobs_per_ cond Across the entire dataset Average within condition dN = 1 dN = tot

ICC1 ICC2 ICC1 ICC2

Camerer et al. (2018)
      Ackerman et al. (2010) Evaluating job candicates 599 2 8 0.47 0.87 0.47 0.88 0.10 0.13
    Gervais & Norenzayan (2012) Belief in God 531 2 1 NA NA NA NA –0.07 –0.07
      Karpicke & Blunt (2011) Text memory 49 2 1 NA NA NA NA 0.83 0.83
      Kidd & Castano (2013) Emotion recognition 714 2 36 0.09 0.78 0.09 0.78 –0.03 –0.08
      Morewedge et al. (2010) M&Ms eaten 89 2 1 NA NA NA NA 0.75 0.75
        Pyc & Rawson (2010) Word translations 306 2 48 0.14 0.89 0.14 0.88 0.12 0.30
          Shah et al (2012) Dots-mixed task 619 2 1 NA NA NA NA –0.03 –0.03
          Wilson et al (2014) Enjoyment ratings 39 2 3 0.82 0.93 0.73 0.89 1.32 1.44