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Table 2 Chi-square fit values for previously non-fitting datasets, disaggregated in to original experimental conditions

From: Do sequential lineups impair underlying discriminability?

Dataset Simultaneous lineup Sequential lineup
SDT-MAX SDT-INT SDT-SEQ SDT-INT
Carlson et al. (2008, Exp 2) – biased 19.68* 19.66* 1.94 22.76*
Carlson et al. (2008, Exp 2) – intermediate .81 3.02 .42 10.23*
Carlson et al. (2008, Exp 2) – fair 10.00* 16.88* .85 2.61
Greathouse and Kovera (2009) – biased, single-blind .15 .38 .78 .15
Greathouse and Kovera (2009) – biased, double-blind .57 .38 4.08 2.17
Greathouse and Kovera (2009) – fair, single-blind 5.44 6.29 4.06 .44
Greathouse and Kovera (2009) – fair, double-blind 3.83 4.09 .25 .15
Pozzulo and Marciniak (2006) – no appearance change .89 .09 1.82 3.81
Pozzulo and Marciniak (2006) –appearance changed .21 .06 12.60* 11.58*
  1. *Non-fitting datasets: asterisks indicate a significant difference from zero, α = 0.01 (critical value = 6.63)