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Note on the effects of cue-criterion correlations, cue intercorrelation and the sign of the cue intercorrelation on confidence in multiple-cue probability learning

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UMEÂ PSYCHOLOGICAL REPORTS

No. 83 1975

Department of Psychology University of Umeå HHH

^

° A

NOTE ON THE EFFECTS OF CUE-CRITERION CORRELATIONS, CUE

INTER-CORRELATION AND THE SIGN OF THE CUE INTTERINTER-CORRELATION dk C0NFID9CE IN MULTIPLE-CUE PROBABILITY LEARNING

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MULTIPLE-CUE PROBABILITY LEARNING

Armelius, K., and Armelius, B-A. Note on the effects of cue-criterion correlations, cue intercorrelation and the sign of the cue intercorrelation on confidence in multiple-cue probability learning. Umeå Psychological Reports, No. 83, 1975. - The subjects' con­ fidence in the correctness of their judgments was investigated in a two-cue MCPL-experi­

ment, where the cue-criterion correlations, as well as the sign and magnitude of the intercorrelation between the cues were systematically varied. The results showed that even though the subjects' performance was influenced by the task parameters, their confidence was not. The subjects' confidence was low, and there were no differences among conditions. In view of the finding that per­ formance was generally low and that all tasks were considered as equally difficult, an explanation for the result might be that the five-point rating scale used to measure con­ fidence was too insensitive and that the criterion for correctness was too strict.

Studies of multiple-cue probability learning (MCPL) have mainly focused on how different task parameters influence the subjects' performance. Recently there have, however, been some attempt to study in more detail how the subjects learn probabilistic inference tasks CArmelius and Armelius, 1975a; Brehmer, 1974; Brehmer, Kuylenstiema, and Liljer-gren, 1974a, b). In these studies the subjects' verbal reports have been used to investigate what rules the subjects use to arrive at their predictions. One important finding in some of these studies is

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-2-that the subjects have problems in evaluating their performance in the statistical tertre required by probabilistic tasks. Specifically, the results show that the subjects may find the optimal rule for the task, but fail to realize that they have found the rule and reject it as incorrect (Brehmer, 1974; Brehmer et al., 1974). One possible explanation for this paradoxical behavior may be that the subjects change rules more frequently under conditions when they are unconfi-dent in their judgments. Studies of the effects of various characte­ ristics of the task on the subjects' confidence and the relation between confidence and performance should contribute to the under­

standing of the subjects' behavior in probabilistic inferens.task. The pre­ sent study was designed to investigate this problem in an experiment where the cue-criterion correlations, the intercorrelation between the cues and the sign of the cue intercorrelation were systematically varied.

Method

Subjects. Eighty-two undergraduate psychology students from the

University of Umeå participated in the experiment to fulfill a course requirement and 18 educational students from the University of UmeS were paid to participate in the experiment.

Learning stage. Eight experimental two-cue MCPL-tasks were constructed. The cue-criterion correlation for one cue was r^ * .00 for all tasks. Two levels of correlations with the criterion for the other cue,

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re1 " anc' ^wo Isvsls task predictability, Re » 1.00 and .70 and the sign of the cue intercorrelation were combined factorially.

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The difference in R is due entirely to variations in the magnitude

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of the cue intercorrelation. Effects for Rg may therefore be inter­ preted as effects of the cue intercorrelation. In addition, two ortho­ gonal control tasks where the cue-criterion correlations were equal to the experimental tasks were constructed. The Learning stage con­ sisted of 5 blocks of 20 trials. Table 1 gives the characteristics for the ten learning tasks.

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Table 1. Task characteristics for the ten learning tasks. txperamentai

tasks rij re1 r 0

e2 CT CD et­ il) CD betae2 Re 1 • CD O .60 .00 1.67 -1.33 1.00 2 .70 .60 .00 1.18 -.82 .70 3 .60 .80 .00 1.25 -.75 1.00 4 .30 .80 .00 CO GO -.26 .70 5 1 O co .60 O O 1.67 1.33 1.00 6 -.70 .60 .00 1.18 .82 .70 7 -.60 .80 .00 1.25 .75 1.00 8 -.30 .80 .00 .88 .26 .70 Control tasks 1 .00 .60 .00 .60 O o .36 2 m O o .80 .00 .80 • o o <3-CO

Procedure. The learning tasks were presented in booklets. On the face of each page in the boooklet the cues were presented as two bars

nurrbered from one through twenty with the value of each cue represented as the shaded part of the bar. The criterion value was presented as

a number between one and thirty on the other side of the page. On each of the 100 training trialsthe subjects observed the two cue values, gave their

prediction of the criterion value in their answer sheet and observed the correct criterion value. The subjects were allowed to work at their own pace and they were told to base their predictions on the values of the cues they were shown. It was emphazised that due to the nature of the task they should not expect to be perfectly correct on each trial.

Test stage. After completion of the Learning stage each subject received another 20 trials. In this stage the subject was required to give both his prediction of the criterion variable, and to state how confident

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-4-he was that his prediction was correct for each trial. A rating scale with 5 categories was used, where 1 meant that he was very uncertain, 2 that he was uncertain, 3 neither uncertain nor

confident, 4 that he was confident and 5 that he was vary confident that his prediction was correct. The subject was not informed about the criterion values in the Test stage. At the end of the experiment each subject was asked to rate how difficult he considered the

experimental task to be. The rating was done on a 9-point rating scale, where 1 meant that the task was very easy and 9 that the task was very difficult.

Results

Learning stage. Far the present purposes it is enough to show that both rp. and r^ . had significant effects on the subjects' achievement

(F 1/72 = 11.73, p < ,01} and (f 1/72 = 9.19, p < .01) respectively. The sign of r. . influenced only the subjects' consistency. The

results for r are shown in Fig. 1. a

& ii -A r , = .60 el ù. c, r = .80 el

o

„2 O-•o R" : e 1.00 •OR2 : .70 e O Control task,r =.60 i ' el O- Q Control task,re^=. 80

Fig. 1. The effects of total task predictability, cue-criterion correla­ tions ana blocks on r_ Ci in The experimental ~ and control conditions.

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A detailed analysis of the results in terms of achievement, subject consistency, matching of the regression weights and an analysis of the beta-weights are given in Armelius and Armelius (1975b).

Test stage. Average confidence for the 20 tests trials was computed for each subject and subjected to a 2 (Levels of r^) x 2 (Levels of R^) x 2 (Sign of r..) analysis of variance (ANOVA). No significant 8 XJ effects were obtained. A one-way ANOVA where all ten groups were compared showed no differences among any of the conditions. To see if

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confidence was related to r, a 8 R and G, a multiple linear regression analysis was performed on the data. Mean confidence rating was the

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dependent variable and r , R and G were the independent variables. 0 3 Confidence was not related to any of these performance measures.

In summary, these analysis indicate that, (1) the subject's confidence in his judgments is not influenced by the magnitude of the cue criterion correlations, the task predictability or the sign of the cue

inter-correlation, and (2) that confidence is not related to any aspect of the subjects? performance.

Mean rating of task difficulty was computed for each task. Since there were no differences in rating of difficulty among the different tasks

the overall mean was computed. The value of the overall mean was 6, which shows that all subjects considered their learning tasks as very difficult. It is therefore reasonable to expect that the subjects' confidence will be low in all conditions. As shown in the ANOVA there were no differences in mean confidence among the different conditions. The overall mean was 2 which shows that the subjects had a low degree of confidence in the correctness of their judgments. The standard deviation varied between zero and 1.5, with an average value of .62, which means that the subjects have used very few of the scale steps.

Discussion

The results of the present study show no relation between confidence and performance. The subjects' achievement varied with the task para?

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-6-meters, but their confidence was the same in all conditions. This un­ expected finding requires some explanation.

It turned out that all tasks in the present experiment were very diffi­ cult to learn. The subjects' performance was far from optimal and the differences in level of performance reached by the subjects in the different conditions were relatively small, although significant. The difficulty of the tasks is confirmed by the subjects' rating of task difficulty. All subjects found their tasks very difficult and there were no differences among the tasks. The fact that all tasks in the present experiment were experienced as very difficult may be the reason for the low average and variance of the confidence ratings. That is, the subjects felt highly uncertain in all conditions. In addition, the small differences in performance allow only small variations in confi­ dence, and it is possible that the five-point rating scale used to measure confidence was too insensitive to reveal whatever small diffe­ rences in confidence that may have existed.

The purpose of the instruction for the Learning stage was to make the

subjects evaluate their performance in terms of a correlation rather than in terms of number of correct judgments.The subjects were informed that

they should not expect to be correct at each trial but through learning their answers should come closer to the correct criterion values. In the Test stage, however, confidence was measured by asking the subjects to state hew confident they were that their judgments were correct at each trial. The number of correct judgments experienced during learning must, however, have been very small for most subjects as is shown by the low levels of rQ in all conditions. In view of the purpose of the instruction for the Learning stage and the fact that performance was low in all conditions, it might have been inappropriate to ask the subjects to state how confident they were that their judgments were correct. A more lenient criterion of correctness (e.g. correct *3) might have been more appropriate. Such a criterion would also make the measurement of performance and confidence more compatible. An experiment of this kind is now done in our laboratories.

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References

Armelius, K. & Armelius, B. Integration rules in a multiple-cue probabi­ lity learning task with intercorrelated cues. Umeå Psychological Reports, No. 80, 1975 (b).

Armelius, K. & Armelius, B. The effect of cue criterion correlations, cue intercorrelations and the sign of the cue intercorrelation on performance in suppressor variable tasks, Umeå Psychological Reports, No. 81, 1975 (b).

Brehmer, B. Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks. Organizational Behavior and Human Performance, 1974, 1_1_, 1-27.

Brehmer, B., Kuylenstierna, J. & Liljergren, 3-E. Effects of function form and cue validity on the subjects' hypotheses in probabilis­ tic inference tasks. Organizational Behavior and Human Performance, 1974, 11, 338-354 (a).

Brehmer, B., Kuylenstiema, 3. & Liljergren, 3-E. Information about a limit of achievement in probabilistic inference tasks.

Unpublished manuscript. Department of Psychology, University of Umeå, 1974 (b).

References

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