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Table 2 Model selection results (Reanalysis of Wilson et al., 2019)

From: Toward a more comprehensive modeling of sequential lineups

Binary judgments

Model

Parameters

\(G^2\)

AIC

BIC

SDT\(_{\tau 1,\,\emptyset }\)

3

187

193

214

SDT\(_{\tau 1,\,\mu 1}\)

4

182

190

218

SDT\(_{\tau 1,\,\sigma 1}\)

4

182

190

218

SDT\(_{\tau 1,\,\mu 2}\)

8

152

168

225

SDT\(_{\tau 1,\,\sigma 2}\)

8

150

166

222

SDT\(_{\tau 2,\,\emptyset }\)

8

122

138

194

SDT\(_{\tau 2,\,\mu 1}\)

9

120

138

202

SDT\(_{\tau 2,\,\sigma 1}\)

9

120

138

202

SDT\(_{\tau 2,\,\mu 2}\)

13

118

144

236

SDT\(_{\tau 2,\,\sigma 2}\)

13

118

144

236

SDT\(_{\tau 3,\,\emptyset }\)

5

106

116

151

SDT\(_{\tau 3,\,\mu 1}\)

6

104

116

159

SDT\(_{\tau 3,\,\sigma 1}\)

6

104

116

159

SDT\(_{\tau 3,\,\mu 2}\)

10

72

92

163

SDT\(_{\tau 3,\,\sigma 2}\)

10

70

90

160

SDT\(_{\tau 4,\,\emptyset }\)

10

44

64

134

SDT\(_{\tau 4,\,\mu 1}\)

11

43

65

143

SDT\(_{\tau 4,\,\sigma 1}\)

11

43

65

143

SDT\(_{\tau 4,\,\mu 2}\)

15

40

70

175

SDT\(_{\tau 4,\,\sigma 2}\)

15

39

69

175

Confidence rating judgments

SDT\(_{\tau 4,\,\emptyset }\)

30

177

237

448

SDT\(_{\tau 4,\,\mu 1}\)

31

177

239

457

SDT\(_{\tau 4,\,\sigma 1}\)

31

177

239

457

SDT\(_{\tau 4,\,\mu 2}\)

36

174

246

499

SDT\(_{\tau 4,\,\sigma 2}\)

36

173

245

498

  1. The best-performing values according to AIC and BIC are underlined and in bold font