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S1 (FriAM 1-65) - The Psychonomic Society

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Posters 3001–3009 Friday Evening<br />

POSTER SESSION III<br />

Grand Ballroom, Convention Center, Friday Evening, 5:30–7:00<br />

• METACOGNITION •<br />

(3001)<br />

What Age Differences? Feelings-of-Knowing Reflect an Illusion of<br />

Recognition for Both Younger and Older Adults. DEBORAH K.<br />

EAKIN, Mississippi State University, & CHRISTOPHER HERTZOG,<br />

Georgia Institute of Technology—We evaluated age differences in<br />

feeling-of-knowing judgments (FOKs) for targets, given cues varying<br />

in associative set size. Data from Eakin and Hertzog (2006) were used<br />

which produced cue-set-size effects for recall for both younger and<br />

older adults, but were eliminated (1) in the intralist cuing condition for<br />

younger adults and (2) in recognition for both cuing conditions for both<br />

age groups. FOKs evidenced illusions about predicted recognition that<br />

were driven by the pattern of recall outcomes. FOK sensitivity did not<br />

reflect the relatively high probability of recognition for unrecalled<br />

items under extralist cuing, nor did it track the cue-set-size reversal for<br />

intralist cuing. Moreover, FOK accuracy was near chance for both age<br />

groups, producing no reliable age differences in FOK accuracy.<br />

(3002)<br />

Knowing We Know Before We Know: EEG Correlates of Initial<br />

Feeling-of-Knowing. CHRISTOPHER A. PAYNTER, PAUL D. KIEF-<br />

FABER, & LYNNE M. REDER, Carnegie Mellon University (sponsored<br />

by Lynne M. Reder)—In a replication of Reder and Ritter (1992)<br />

that also collected EEG recordings, subjects performed a feeling-ofknowing<br />

task in which they had to rapidly determine whether the answer<br />

to a math problem was known or whether the answer had to be<br />

calculated. Previously unfamiliar math problems were repeatedly<br />

tested over the course of the experiment and the feeling of knowing<br />

or not-knowing judgment had to be completed in 850 msec (much less<br />

time than needed to retrieve the answer itself). ERP analyses uncovered<br />

waveform differences between accurate retrieve versus calculate<br />

trials as early as 200 msec following onset of the problem. Accurate<br />

retrieve trials showed activation primarily in the right hemisphere following<br />

problem onset, whereas calculate trials and inaccurate retrieve<br />

trials showed activation primarily in the left hemisphere. <strong>The</strong>oretical<br />

implications are discussed.<br />

(3004)<br />

<strong>The</strong> Influence of Framing on Children’s Metacognitive Judgments.<br />

BRIDGID FINN, Columbia University, & LISA K. SON, Barnard<br />

College—Recent evidence suggests that metacognition can be influenced<br />

by framing (Finn & Metcalfe, 2007; Koriat, Bjork, Sheffer, & Bar,<br />

2004). Judgments of learning (JOLs) show a diminished overconfidence<br />

bias (Finn & Metcalfe, 2007), and are sensitive to varying retention intervals<br />

(Koriat et al., 2004) when made within a forget frame rather than<br />

a remember frame. Thus far these results have been limited to adults. In<br />

this study, children studied synonym pairs and made JOLs within either<br />

a remember or a forget frame. <strong>The</strong>y then predicted their performance on<br />

a test coming up in either 10 min or in 1 week. <strong>The</strong> results showed that<br />

forget judgments were lower than remember judgments at both the<br />

10-min and 1-week prediction intervals. While remember judgments did<br />

not differentiate between the retention intervals, forget judgments were<br />

higher for the 10-min prediction than for the 1-week prediction.<br />

(3005)<br />

<strong>The</strong> Relationship Between Cue Diagnosticity and Judgment Accuracy<br />

for Judgments of Text Learning. JULIE M. C. BAKER &<br />

JOHN DUNLOSKY, Kent State University (sponsored by John Dunlosky)—One<br />

explanation for the poor predictive accuracy for judgments<br />

of text learning is that the cues that people use to make these<br />

judgments are not diagnostic; that is, the cues do not predict criterion<br />

test performance. We conducted an experiment to test the hypothesis<br />

that cue diagnosticity drives judgment accuracy. Cue diagnosticity<br />

was manipulated by varying the similarity between momentary ac-<br />

87<br />

cessibility and the criterion test. In particular, the criterion tests were<br />

either a multiple-choice recognition test or a speeded recall test—the<br />

latter most resembled the cue of momentary access. As expected, cue<br />

diagnosticity and judgment accuracy were higher for the speeded recall<br />

test than for the recognition test.<br />

(3006)<br />

Does Test Expectancy Influence Metacomprehension Accuracy?<br />

KEITH W. THIEDE, Boise State University, & JENNIFER WILEY<br />

& THOMAS T. GRIFFIN, University of Illinois, Chicago—In our previous<br />

research, we have improved metacomprehension accuracy by<br />

providing contexts that get readers focused on their situation model<br />

when judging comprehension. We have not, however, examined<br />

whether readers can achieve this focus on the situation model on their<br />

own, if informed via instructions and practice tests that that is what<br />

they should do. To evaluate this possibility, we conducted a study<br />

using the standard test-expectancy paradigm. <strong>The</strong> results showed that<br />

metacomprehension accuracy was influenced by test expectancy. Participants<br />

who expected an inference test more accurately monitored<br />

their performance on the inference tests than did the group that had<br />

expected a memory test (memory of details). <strong>The</strong>se findings confirm<br />

that readers can focus on the kind of test items that tap the situation<br />

model and improve metacomprehension accuracy, if they know what<br />

type of tests to expect.<br />

(3007)<br />

Metacognitive Control and Strategy Selection: Deciding to Practice<br />

Retrieval During Learning. JEFFREY D. KARPICKE, Purdue University<br />

(sponsored by David B. Pisoni)—Practicing retrieval is a potent<br />

technique for enhancing learning, but do students use retrieval<br />

practice when they regulate their learning on their own? Four experiments<br />

addressed this question. Subjects learned foreign language<br />

word pairs in a multitrial learning task, and long-term retention was<br />

assessed on a 1-week delayed test. When learning condition was experimentally<br />

manipulated by assigning pairs to be repeatedly tested,<br />

repeatedly studied, or removed from practice, repeated testing produced<br />

powerful effects on learning and retention. However, when subjects<br />

were given control over their own learning and could choose to<br />

test, study, or remove pairs, they chose to remove the majority of pairs<br />

rather than to practice retrieval, leading to poor retention. <strong>The</strong> experiments<br />

demonstrate an illusion that occurs during self-regulated learning:<br />

Fluent processing promotes confidence in one’s own learning and<br />

leads individuals to terminate practice rather than to self-test, a strategy<br />

choice that ultimately results in poor retention.<br />

• DISCOURSE PROCESSES •<br />

(3008)<br />

Memorial Influences on the Fluency of Text Processing. MATTHEW<br />

COLLINS & BETTY ANN LEVY, McMaster University—Numerous<br />

studies have shown that repeated reading of the same text leads to<br />

faster and more accurate reading. Known as the text repetition effect,<br />

this effect is attributable to a memory representation of the text recruited<br />

to facilitate processing upon rereading. However, there is a<br />

great deal of debate regarding the nature of the text memory representation.<br />

Recently, Raney (2003) has proposed a model suggesting<br />

that overlap at the three levels of text representation can account for<br />

processing fluency between passages. Consistent with this account,<br />

we found that the magnitude of the repetition effect decreased when<br />

there was less overlap between passages at the level of the situation<br />

model. <strong>The</strong>se results suggest that text representations cannot be described<br />

as either strictly abstract or strictly episodic. Rather, it appears<br />

that the degree of overlap at each level of representation will determine<br />

how much of a repetition benefit there is between passages.<br />

(3009)<br />

Amazing Stories: Does Fictionality Matter in Learning From Text?<br />

DANIEL SLATEN, DAVID N. RAPP, & WILLIAM S. HORTON,

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