Table 1. Parameter Estimates, Confidence Intervals, and G² Goodness-of-Fit Values for the Four-parameter Two-high Threshold MPT Model of Source Monitoring under Different Conditions of Expectancy and Attention in Experiment 1.

Item Expectancy	D	d	g	b	G2(6)
	Full Attention				5.75
Expected Doctor	.66 (.60-.72)	.62 (.51-.72)	.48 (.41-.56)	.40 (.30-.49)
Expected Lawyer	.57 (.51-.63)	.60 (.48-.72)	.42 (.35-.50)	.35 (.27-.43)
Equal Expectancy	.83 (.80-.86)	.67 (.59-.73)	.47 (.38-.57)	.09 (.00-.19)
	Divided Attention				10.65
Expected Doctor	.24 (.16-.32)	.32 (.05-.60)	.72 (.68-.77)	.57 (.52-.62)
Expected Lawyer	.15 (.07-.24)	.17 (.00-.56)	.29 (.24-.34)	.56 (.52-.61)
Equal Expectancy	.35 (.28-.43)	.26 (.07-.44)	.57 (.51-.62)	.41 (.35-.47)

Note. These are probability estimates that can range from 0 to 1. D = probability of item recognition; d = probability of remembering the source; g = probability of guessing that an item was presented by the doctor (estimates higher than the chance level of .5 indicate guessing bias towards doctor; estimates lower than .5 indicate guessing bias towards lawyer); b = probability of guessing that an item is old (chance level is .5). 95% confidence intervals are in parentheses. G²(6) values lower than 12.59 indicate a good fit of the model to the data.