THE SYMBOLIC DISTANCE EFFECT FOR ALPHABETIC ORDER JUDGEMENTS : A SUBJECTIVE REPORT AND REACTION TIME ANALYSIS

Size: px
Start display at page:

Download "THE SYMBOLIC DISTANCE EFFECT FOR ALPHABETIC ORDER JUDGEMENTS : A SUBJECTIVE REPORT AND REACTION TIME ANALYSIS"

Transcription

1 Quarterly Journal of Experimental Psychology (1978) 30, THE SYMBOLIC DISTANCE EFFECT FOR ALPHABETIC ORDER JUDGEMENTS : A SUBJECTIVE REPORT AND REACTION TIME ANALYSIS J. M. E. HAMILTON AND A. J. SANFORD Department of Psychology, The University of Glasgow, Glasgow, Scotland The time needed to decide whether a pair of letters is in the correct alphabetic order varies inversely with alphabetic separation. This is an example of a phenomenon generally found with the comparison of ordered symbols or concepts, called the symbolic distance effect (Moyer and Bayer, 1976). It is argued that when letters are compared, an important determinant of this effect is the degree to which subjects subvocally run-through parts of the alphabet to determine the correctness of the order of a stimulus pair. A trial-by-trial introspection procedure coupled with reaction time measurements is used in the present experiment, in which letter order judgements were made over a range of separations. RTs increased with increasing number of letters in the reported run-through. At small letter separations, run-through occurred more frequently, and this was found to be the basis of the symbolic distance effect. For trials on which no run-through was reported the symbolic distance effect was absent. The data are summarized as a model in which comparisons are made from directly available order information from memory, or with an additional run-through process. The details of the run-through process suggest that groupings learned in childhood are probably involved in the selection of the starting letter for run-through. Introduction An important cognitive function is the ability to compare the memory representations of objects and events along specified dimensions. At the empirical level, in a wide range of situations it has been established that the time needed to compare two things varies inversely with the distance between their referents on the judged dimension. For example, with digit pairs, less time was needed to decide which digit was larger if the difference between the digits was large (e.g. 2 and 8) rather than small (e.g. 7 and 8) (Banks, Fujii and Kayra-Stuart, 1976; Buckley and Gillman, 1974; Moyer and Landauer, 1967). Similar results obtain for decisions about alphabet order (Lovelace and Snodgrass, 1971 ; Parkman, 1971), the normative sizes of objects in memory (Holyoak, 1977; Moyer, 1973) and the comparison of items learned in an arbitrary linear ordering along some dimension 33

2 34 J. M. E. HAMILTON AND A. J. SANFORD (Potts, 1974). In addition, Holyoak and Walker (1976) found a similar effect with the comparisons of terms for the dimensions of time, quality and temperature. This general finding, termed the symbolic distance effect (Moyer and Bayer, 1976) is one of the primary phenomena which any model of comparison must explain. The present paper is concerned with the origins of the symbolic distance effect in making judgements of the order of letters of the alphabet. Early researchers had pointed out a parallel between alphabetic order judgements and numerical magnitude comparison (Lovelace and Snodgrass, 1971), but while research on the latter has advanced (Buckley and Gillman, 1974; Banks, Fujii and Kayra- Stuart, 1976), our understanding of the former has not progressed very far. This is surprising; while digit comparisons are known components of arithmetical operations (Restle, 1970; Svenson, 1974) the alphabet is of importance as a good example of a string of sequentially ordered information. In addition, making alphabetic judgements produces some pervasive introspective phenomena which could provide a unique cue to the underlying information processing. Consider how alphabetic index systems are used, for example in looking up a word in a dictionary. In trying to look up a word beginning with P a person may find himself at the letter L. How does he know which way to flick the pages? Anecdotal observation suggests that people sometimes discover the order relation by mentally running through the sequence LMNOP. If run-through of this kind is the time-consuming process it seems to be, and if it occurs more often with small letter separations, then it could offer an explanation of the symbolic distance effect. The possible involvement of such run-through was mentioned en passant by Lovelace and Snodgrass ( I~I), but they did not explore the question in any detail. The experiment below requires subjects to decide on the correctness of the order of letter pairs at various alphabetic separations. By asking subjects to give introspections after each and every trial as to processing which may have occurred, the role of run-through as a determinant of the symbolic distance effect was assessed. Method Subjects The 10 subjects were students or staff from the University of Glasgow between 21 and 31 years of age. All were paid volunteers, and received sop for attending one session lasting approximately 40 min. Apparatus and stimuli The stimuli, presented visually, were 2 X z in slides presented in a Scientific Prototype 3 channel automatic tachistoscope type GB. Each subject saw 168 slides, each consisting of a pair of letters separated along the horizontal axis about the centre of the visual field. The letters were black on a white background and in upper-case letraset. Twelve examples of each letter separation from one letter apart (i.e. adjacent letters), to 14 letters apart were randomly selected from the available possibilities. Therefore there were 24 examples of each letter separation, the 12 chosen and their reverse order constituted 12 examples of each letter separation in the correct alphabetic order, i.e. the

3 ALPHABETIC ORDER JUDGEMENT 35 letter to the left of the pair coming nearer the beginning of the alphabet, and 12 examples of incorrect alphabetic order. The slides were divided into two groups, each group having six examples of each alphabetic separation in the correct order and six in the incorrect order, with the restriction that no one-letter pair was present in both correct and reverse order within the one group. Procedure The 168 slides were presented to each subject in a random order with the constraint that no two consecutive slides contained letters which lay adjacent to each other in the alphabet. Subjects saw a 2-9 blank (warning) field, which was immediately followed by the stimulus field for two seconds. Subjects were instructed to respond as quickly and as accurately as possible by pressing keys to indicate whether or not the pair of letters exposed was in the correct alphabetic order. Reaction times were taken from the onset of the stimulus field to the subjects response. After each and every trial the subject reported to the experimenter verbally, whether he was aware of any conscious process which had led to the response, or whether the answer had come automatically. Subjects were randomly allocated to two slide groups and, randomly within each group, half of the subjects responded to the correct order with their preferred hand and the other half used their non-preferred hand. Results The symbolic distance efect Errors occurred on 7'25% of all trials and were not systematically related to separation; error trials were eliminated from further analyses. Figure I shows that the closer together two letters are in the alphabet, the greater the RT to determine whether they are in the correct alphabetic order. This was confirmed by an analysis of variance on the median RTs (F = 8-96, df = 13, 117, P --I 7 Correct order pairs \ V Incorrect order pars 6-81 L I I I I I I I II Letter separation FIGURE I. Mean RT as a function of letter separation. The dotted lines show the mean RTs produced by a summary model described later.

4 36 J. M. E. HAMILTON AND A. J. SANFORD <O.OOI). In addition RTs were longer for incorrect pairs (F = 17-98, df = I, 9, P <O*OOI). These two main factors showed a reliable interaction (F = 2-21, df = 13, 117, P <o.ozg). Run-through and separation All subjects reported running-through parts of the alphabet on some of the trials, although the extent of this varied considerably from person to person. No subject showed run-through at all separations, and some subjects had a fairly limited range of run-through length. Length of run-through was defined as the number of letters reported as being thought of prior to emission of the response. Thus if the subject reported running through the sequence PQRS, this would represent a run of 4, regardless of whether one or both of the stimulus letters were included in the run. Figure 2 shows the relation of RT to reported run length for all runs of two or more items. l I I I I I I,, - - L - d More Run- thmugh length FIGURE 2. Mean RT as a function of reported run-through length. The dotted lines indicate the best fitting straight lines by the method of least squares. Although there was not enough data for individual functions to be fitted, pooling data across subjects showed the relationship of RT to reported run-length to be an approximately linear function (slope = 367 ms/item; r = +0.98). This indicates that the process giving rise to run-through is a crucial factor in determining RT. Furthermore, the rate of run-through falls within the range

5 ALPHABETIC ORDER JUDGEMENT 37 normally obtained for subvocal speech (Landauer, 1962), and is consistent with the introspection that run-through is a species of implicit speech." Figure 3 shows that run-through reports were given most often at small letter separations: Friedman's test (Siegel, 1956) giving x: = 59.9 (P <O*OOI) for correct-order pairs, and x: = 50'47 (P <O.OOI) for incorrect order pairs. In contrast to frequency, mean run-through length was not reliably related to separation, and had a mean value of 4-32 letters. The relationship (or lack of it) could not be tested by an analysis of variance because not enough subjects produced data to provide a value for each separation. However, a Spearman rank-order correlation was calculated between run-length averaged across subjects as a function of separation. The value of rs = is both weak and unreliable. There was no difference between correct and incorrect orders. Letter separation FIGUR~ 3. Percentage of run-through trials at each letter separation. Taken together, these data indicate that any contribution run-through might make to the symbolic distance effect originates in its frequency of occurrence at each separation rather than in the length of run-through. In this case, the mean RT at a given separation should show a reliable dependence upon the proportion of run-through trials occurring at that separation. The productmoment correlations between RT and proportion of run-through trials were 0.91 (t = 7.60, N = 12, P <O-OOI) for the correct order data, and 0.93 (t = 8.77, An experiment in which adjacent item naming is required has been carried out and provides support for the idea that the RT/run-length functions are linear for individual subjects (Hamilton and Sanford, in preparation).

6 38 J. M. E. HAMILTON AND A. J. SANFORD N = 12, P <O.OOI) for the incorrect order data. The magnitude of these correlations provides strong evidence for the involvement of run-through in the symbolic distance effect. Direct trial and separation When run-through does not occur (i.e, on direct only trials) the symbolic distance effect is absent from the data (Fig. 4). An analysis of variance revealed that a main effect of separation remained (F = 2.22, df = 13, 117, P to.025) along with an order effect (F = 23-00, df = I, 9, P <O*OOI) and an interaction of these two factors (F = 1-97, df = 13, 117, P to.05). Independent analysis show that the correct-order separation effect is unreliable (F = 1-65, df = 13, 117) but is reliable for the incorrect order data (F = 2-33, df = 13, 117, P to.025). I" Correct order pairs V Incorrect order pairs I II Letter separation FIGURE 4. Mean RT for direct trials only as a function of letter separation. The analysis indicates no effect of letter separation when a separation of I is excluded from the incorrect order data. This appears to be due entirely to the influence of one data point. This was confirmed by reanalysing the data excluding the first point, in which case there is no longer a reliable separation effect (F = 1-24, df = 12, 115). As a final demonstration of the major role run-through plays in the RT/separation function, a rough model was constructed including the assumptions that RTs for direct trials are not a systematic function of separation and run-through length is not a systematic function of separation. In this way the model generates the symbolic distance effect solely on the basis of proportion of trials on which run-through is reported (the Appendix gives further details). Predictions based on this model are shown in Figure I as dotted lines. The numerical correspondence and fit (as a correlation) is reasonable (Y = 0*93), and provides a convincing demonstration that run-through proportion determines the symbolic distance effect.

7 ALPHABETIC ORDER JUDGEMENT 39 Discussion The results suggest that alphabetic order comparisons can be made in two ways. Firstly, the order information may be directly available to the subject. In this case, it does not matter how many letters separate the comparison pair, the RT is constant because the information is directly available. In this way direct judgements do not contribute to the symbolic distance effect. Secondly, if the information is not directly available, subjects consistently report running through part of the alphabet prior to responding. Run-through occurs more frequently at small separations, and the corresponding longer RTs produce the symbolic distance effect. It might appear surprising that run-length is not smaller at smaller separations. However, on closer inspection of the introspective reports, there appeared two good reasons why this should not be the case. The first was that running through did not necessarily start with one of the stimulus letters, but may have commenced some way before in the alphabet. Secondly both of the stimulus letters were not invariably included in the recitation. The manner in which run-through operates is therefore fairly complex. The reports can be conveniently divided into three types, however. On 59 2% of runs-through, both of the stimulus letters were included. For example, given the pair MO, one subject reported running through LMNO. (Note that the starting letter was not one of the stimulus pair.) Thus by producing a string in which both target letters were included, decisions about the order of the letters could be reached. On some occasions a second type of run-through occurred in which the direction of the run-through was such as to increase the gap between the two stimuli. For instance, given the pair RP, one report was RSTUV. This outcome occurred on 14 2% of occasions. The remaining type (26.6%) consisted of gap closures not including one of the letters-e.g. given MU, the run-through LMNOP might be produced. These forms of run may lead to a direct comparison of the current letter of run-through with one of the stimulus letters, enabling a decision to be made. As run-through does not always begin with one of the stimulus letters, this suggests that the subject cannot always say which letter follows another in the alphabet. An explanation of this may lie in the way the alphabet is learned by most people as a series of groups bounded by pauses. An example of such a structure might be (ABCDEFG) (HIJK) (LMNOP) (QRST) (UVW) (XYZ), where brackets indicate pause boundaries. It is possible that if a letter (e.g. V) initiates run-through, then the whole of the group of which it is a member is retrieved as a sequential output, starting with the$rst letter of the group, in this case U. Evidence for this assumption comes from Sternberg s (1967) order judgement task and Wilkes and Kennedy (1970) using groups of letters. Both investigations were consonant with the contention that retrieval of order information occurs by run-through from the beginning of the relevant group, although (curiously) none of these authors commented on any introspections of run-through. To test whether such groups did influence starting letters, an attempt was made to check individual subjects groupings against starting letters. This was possible for seven of the subjects. Of all the run-through trials, 49% did not start with

8 40 J. M. E. HAMILTON AND A. J. SANFORD one of the stimulus letters. Of these 58% of the runs started with a subjective group starting letter. There were of course some runs which started with a stimulus letter which was also a group starting letter. This occurred in fact on 42% of these trials. Closer scrutiny of the still unaccounted-for starting letters revealed that they were almost all due to three subjects consistently using one (different) letter to start their individual runs. (Only 16% of starting letters are then unaccounted for.) A second possible interpretation of the groupings is that direct responses may take place when the stimulus letters fall in different groups, i.e. directly discriminably different portions of the string. This was not the case; 68% of runs occurred when the presented letters were in different blocks. The experiment clearly indicates that the symbolic distance effect results from the use of run-through. For other tasks, quite different accounts fit the data better-for semantic judgements a continuous (analogue) representation of comparison values has been suggested as offering the best fit to the data (Holyoak and Walker, 1976). For digit comparison, Parkman (1971) proposed a counting model. The basis of this was an internal register which was initially set at zero, and progressed by unitary incrementation and comparison cycles until a match was made with the minimum digit. Although superficially it may appear that incrementing and checking is like run-through, the cycle rate inferred by Parkman was very fast ( item+ compared with 3-4 for the present run-through). Parkman also concluded that his model did not fit the alphabet comparison data he obtained. One further difference between digit and letter comparisons is that there is no introspection of run-through in the former (Fenning and Sinclair, unpublished data, University of Glasgow). It is extremely unlikely that a single mechanism, analogue or run-through based, can explain all cases of the symbolic distance effect. So far as the alphabet itself is concerned, the next step is to understand precisely how run-through relates to underlying modes of storage and retrieval. Appendix Reaction times were predicted for each separation by computing RT = A (mx + c) + B.K A+B Where A = number of trials at that separation on which run-through was reported. B = number of direct trials at that separation (A + B = 60). x = mean length of run-through averaged across all separations and both orders. m = slope of RT as a function of run length. c = intercept of RT/run-through function. K = mean RT on direct trials for appropriate order. This formula embodies the principles that run-length and direct trial times are independent of separation. K, c and m have two values each, one for correct- and the other for incorrect-order data. K will entail processes of comparison not entailed in run-through trials, and incorrect order pairs are slower to process than correct order pairs. What is less obvious is that the difference between c (correct order) and c (incorrect order) at 306 ms is considerably greater than the difference between K (correct order) and K

9 ALPHABETIC ORDER JUDGEMENT 4' (incorrect order) at 173 ms. This implies that whatever the mechanism determining the order difference may be, it is influenced by, or varies with the mode of comparison (direct or run-through) employed. Because of the missing data problem, this cannot be tested statistically, but obviously makes a considerable difference to the fit of the model. The fact that m has two values is trivial; the two values used for nz from the best-fitting linear regressions for individual orders were very close, m (correct order) = 360ms/item; m (incorrect order) = 374 ms/item. References BANKS, W. P., FUJII, M. and KAYARA-STUART, F. (1976). Semantic congruity effects in comparative judgements of magnitude of digits. Journal of Experimental Psychology : Human Perception and Performance, 2, BUCKLEY, P. B. and GILLMAN, C. B. (1974). Comparison of digit and dot patterns. Journal of Experimental Psychology, 103, I HOLYOAK, K. J. (1977). The form of analog size information in memory. Cognitive Psychology, 9, HOLYOAK, K. J. and WALKER, J. H. (1976). Subjective magnitude information in semantic orderings. Journal of Verbal Learning and Verbal Behavior, 15, LANDAUER, T. K. (1962). Rate of implicit speech. Perceptual and Motor Skills, 15, 646. LOVELACE, E. A. and SNODGRASS, R. D. (1971). Decision times for alphabetic order of letter pairs. Journal of Experimental Psychology, 88, MOYER, R. S. (1973). Comparing objects in memory: Evidence suggesting an internal psychophysics. Perception and Psychophysics, 13, MOYER, R. S. and BAYER, R. H. (1976). Mental comparisons and the symbolic distance effect. Cognitive Psychology, 8, MOYER, R. S. and LANDAUER, T. K. (1967). Time required for judgements of numerical inequality. Nature, 215, PARKMAN, J. M. (1971). Temporal aspects of digit and letter inequality judgements. Journal of Experimental Psychology, 91, POTTS, G. R. (1974). Storing and retrieving information about ordered relationships. Journal of Experimental Psychology, 103, RESTLE, F. (1970). Speed of adding and comparing numbers. Journal of Experimental Psychology, 83, SIEGEL, S. (1956). Non-Parametric Statistics for the Behavioural Sciences. New York: McGraw-Hill. STERNBERG, S. (I 967). Retrieval of contextual information from memory. Psychonomic Science, 8, SVENSON, 0. (1974). Analysis of time required by children for simple additions. Report from the Psychological Laboratories, University of Stockholm. WILKES, A. L. and KENNEDY, R. A. (1970). The relative accessability of list items within different pause-defined groups. Journal of Verbal Learning and Verbal Behaviour, 9, Received 7 April 1977

S"TX. Revised - A Study of Comparative Judgments. of Numerical and Verbal Attribute Labels. Faculty Working Paper

STX. Revised - A Study of Comparative Judgments. of Numerical and Verbal Attribute Labels. Faculty Working Paper Faculty Working Paper 92-0125 35 1992:125 COPY 2 S"TX Revised - A Study of Comparative Judgments of Numerical and Verbal Attribute Labels The Library of the JUL * W* UnWorsIT* of tlunnls ijrrona-nrcrr^

More information

Memory Scanning for Words Versus Categories z

Memory Scanning for Words Versus Categories z JOURNAL OF VERBAL LEARNING AND VERBAL BEHAVIOR 10, 522-527 (1971) Memory Scanning for Words Versus Categories z JAMES F. JUOLA AND R. C. ATKINSON Stanford University, Stanford, California 94305 Two groups

More information

FACILITATION IN RECOGNIZING PAIRS OF WORDS: EVIDENCE OF A DEPENDENCE BETWEEN RETRIEVAL OPERATIONS 1

FACILITATION IN RECOGNIZING PAIRS OF WORDS: EVIDENCE OF A DEPENDENCE BETWEEN RETRIEVAL OPERATIONS 1 Journal at Experimental Psychology 1971, Vol. 90, No. 2, 227-234 FACILITATION IN RECOGNIZING PAIRS OF WORDS: EVIDENCE OF A DEPENDENCE BETWEEN RETRIEVAL OPERATIONS 1 DAVID E. MEYER 2 AND Bell Telephone

More information

Parallel scanning ofauditory and visual information

Parallel scanning ofauditory and visual information Memory & Cognition 1975, Vol. 3 (4),416-420 Parallel scanning ofauditory and visual information DAVID BURROWS and BARRY A. SOLOMON State University ofnew York, College at Brockport, Brockport, New York

More information

The mental representation of ordinal sequences is spatially organized

The mental representation of ordinal sequences is spatially organized W. Gevers et al. / Cognition 87 (2003) B87 B95 B87 Cognition 87 (2003) B87 B95 www.elsevier.com/locate/cognit Brief article The mental representation of ordinal sequences is spatially organized Wim Gevers*,

More information

Incorporating quantitative information into a linear ordering" GEORGE R. POTTS Dartmouth College, Hanover, New Hampshire 03755

Incorporating quantitative information into a linear ordering GEORGE R. POTTS Dartmouth College, Hanover, New Hampshire 03755 Memory & Cognition 1974, Vol. 2, No.3, 533 538 Incorporating quantitative information into a linear ordering" GEORGE R. POTTS Dartmouth College, Hanover, New Hampshire 03755 Ss were required to learn linear

More information

Goodness of Pattern and Pattern Uncertainty 1

Goodness of Pattern and Pattern Uncertainty 1 J'OURNAL OF VERBAL LEARNING AND VERBAL BEHAVIOR 2, 446-452 (1963) Goodness of Pattern and Pattern Uncertainty 1 A visual configuration, or pattern, has qualities over and above those which can be specified

More information

VISUAL PERCEPTION OF STRUCTURED SYMBOLS

VISUAL PERCEPTION OF STRUCTURED SYMBOLS BRUC W. HAMILL VISUAL PRCPTION OF STRUCTURD SYMBOLS A set of psychological experiments was conducted to explore the effects of stimulus structure on visual search processes. Results of the experiments,

More information

Recency order judgments in short term memory: Replication and extension of Hacker (1980)

Recency order judgments in short term memory: Replication and extension of Hacker (1980) Recency order judgments in short term memory: Replication and extension of Hacker (1980) Inder Singh and Marc W. Howard Center for Memory and Brain Department of Psychological and Brain Sciences Boston

More information

The Role of Feedback in Categorisation

The Role of Feedback in Categorisation The Role of in Categorisation Mark Suret (m.suret@psychol.cam.ac.uk) Department of Experimental Psychology; Downing Street Cambridge, CB2 3EB UK I.P.L. McLaren (iplm2@cus.cam.ac.uk) Department of Experimental

More information

Selective changes of sensitivity after adaptation to simple geometrical figures*

Selective changes of sensitivity after adaptation to simple geometrical figures* Perception & Psychophysics 1973. Vol. 13. So. 2.356-360 Selective changes of sensitivity after adaptation to simple geometrical figures* ANGEL VASSILEV+ Institu te of Physiology. Bulgarian Academy of Sciences.

More information

Sinlultaneous vs sequential discriminations of Markov-generated stimuli 1

Sinlultaneous vs sequential discriminations of Markov-generated stimuli 1 Sinlultaneous vs sequential discriminations of Markov-generated stimuli 1 BLL R. BROWN AND THOMAS J. REBBN2 UNlVERSTY OF LOUSVLLE This experiment required Ss to make Markov-generated histoforms that were

More information

Symbolic comparisons with and without perceptual referents: Is interval information used?

Symbolic comparisons with and without perceptual referents: Is interval information used? Memory & Cognition 1985, 13 (2), 176-182 Symbolic comparisons with and without perceptual referents: Is interval information used? JOHN M. HENDERSON and ARNOLD D. WELL University of Massachusetts, Amherst,

More information

A model of parallel time estimation

A model of parallel time estimation A model of parallel time estimation Hedderik van Rijn 1 and Niels Taatgen 1,2 1 Department of Artificial Intelligence, University of Groningen Grote Kruisstraat 2/1, 9712 TS Groningen 2 Department of Psychology,

More information

Classification without identification in visual search Joan Brand a a

Classification without identification in visual search Joan Brand a a This article was downloaded by: [University of Moncton] On: 2 September 2010 Access details: Access Details: [subscription number 917397548] Publisher Psychology Press Informa Ltd Registered in England

More information

Humans and nonhuman animals discriminate numbers in a

Humans and nonhuman animals discriminate numbers in a Semantic congruity affects numerical judgments similarly in monkeys and humans Jessica F. Cantlon* and Elizabeth M. Brannon* Department of Psychological and Brain Sciences and Center for Cognitive Neuroscience,

More information

CONCEPT LEARNING WITH DIFFERING SEQUENCES OF INSTANCES

CONCEPT LEARNING WITH DIFFERING SEQUENCES OF INSTANCES Journal of Experimental Vol. 51, No. 4, 1956 Psychology CONCEPT LEARNING WITH DIFFERING SEQUENCES OF INSTANCES KENNETH H. KURTZ AND CARL I. HOVLAND Under conditions where several concepts are learned concurrently

More information

Are Retrievals from Long-Term Memory Interruptible?

Are Retrievals from Long-Term Memory Interruptible? Are Retrievals from Long-Term Memory Interruptible? Michael D. Byrne byrne@acm.org Department of Psychology Rice University Houston, TX 77251 Abstract Many simple performance parameters about human memory

More information

Framework for Comparative Research on Relational Information Displays

Framework for Comparative Research on Relational Information Displays Framework for Comparative Research on Relational Information Displays Sung Park and Richard Catrambone 2 School of Psychology & Graphics, Visualization, and Usability Center (GVU) Georgia Institute of

More information

Effects of semantic and nonsemantic cued orienting tasks on associative clustering in free recall*

Effects of semantic and nonsemantic cued orienting tasks on associative clustering in free recall* Memory & Cognition 1975, Vol. 3 (1),19-23 Effects of semantic and nonsemantic cued orienting tasks on associative clustering in free recall* ROBERT E. TILL, RANDY L. DIEHL, and JAMES J. JENKINSt Center

More information

SUPPLEMENTARY INFORMATION. Table 1 Patient characteristics Preoperative. language testing

SUPPLEMENTARY INFORMATION. Table 1 Patient characteristics Preoperative. language testing Categorical Speech Representation in the Human Superior Temporal Gyrus Edward F. Chang, Jochem W. Rieger, Keith D. Johnson, Mitchel S. Berger, Nicholas M. Barbaro, Robert T. Knight SUPPLEMENTARY INFORMATION

More information

SUPPLEMENTAL MATERIAL

SUPPLEMENTAL MATERIAL 1 SUPPLEMENTAL MATERIAL Response time and signal detection time distributions SM Fig. 1. Correct response time (thick solid green curve) and error response time densities (dashed red curve), averaged across

More information

Is Cognitive Science Special? In what way is it special? Cognitive science is a delicate mixture of the obvious and the incredible

Is Cognitive Science Special? In what way is it special? Cognitive science is a delicate mixture of the obvious and the incredible Sept 3, 2013 Is Cognitive Science Special? In what way is it special? Zenon Pylyshyn, Rutgers Center for Cognitive Science Cognitive science is a delicate mixture of the obvious and the incredible What

More information

Chapter 8: Visual Imagery & Spatial Cognition

Chapter 8: Visual Imagery & Spatial Cognition 1 Chapter 8: Visual Imagery & Spatial Cognition Intro Memory Empirical Studies Interf MR Scan LTM Codes DCT Imagery & Spatial Cognition Rel Org Principles ImplEnc SpatEq Neuro Imaging Critique StruEq Prop

More information

Satiation in name and face recognition

Satiation in name and face recognition Memory & Cognition 2000, 28 (5), 783-788 Satiation in name and face recognition MICHAEL B. LEWIS and HADYN D. ELLIS Cardiff University, Cardiff, Wales Massive repetition of a word can lead to a loss of

More information

DOCTORATE OF PHILOSOPHY Dec 2008 Committee: Richard B. Anderson, Advisor Dale Klopfer Yiwei Chen Barbara Moses

DOCTORATE OF PHILOSOPHY Dec 2008 Committee: Richard B. Anderson, Advisor Dale Klopfer Yiwei Chen Barbara Moses THE INFLUENCE OF REPRESENTATIONAL PROCESSES ON THE NUMERICAL DISTANCE EFFECT Neil D. Berg A Dissertation Submitted to the Graduate College of Bowling Green State University in partial fulfillment of the

More information

On the mental representation of negative numbers: Context-dependent SNARC effects with comparative judgments

On the mental representation of negative numbers: Context-dependent SNARC effects with comparative judgments Psychonomic Bulletin & Review 2005, 12 (5), 931-937 On the mental representation of negative numbers: Context-dependent SNARC effects with comparative judgments SAMUEL SHAKI and WILLIAM M. PETRUSIC Carleton

More information

Congruency Effects with Dynamic Auditory Stimuli: Design Implications

Congruency Effects with Dynamic Auditory Stimuli: Design Implications Congruency Effects with Dynamic Auditory Stimuli: Design Implications Bruce N. Walker and Addie Ehrenstein Psychology Department Rice University 6100 Main Street Houston, TX 77005-1892 USA +1 (713) 527-8101

More information

Automatic detection, consistent mapping, and training * Originally appeared in

Automatic detection, consistent mapping, and training * Originally appeared in Automatic detection - 1 Automatic detection, consistent mapping, and training * Originally appeared in Bulletin of the Psychonomic Society, 1986, 24 (6), 431-434 SIU L. CHOW The University of Wollongong,

More information

Lecturer: Dr. Benjamin Amponsah, Dept. of Psychology, UG, Legon Contact Information:

Lecturer: Dr. Benjamin Amponsah, Dept. of Psychology, UG, Legon Contact Information: EVALUATION OF THE MODAL MODEL OF MEMORY Lecturer: Dr. Benjamin Amponsah, Dept. of Psychology, UG, Legon Contact Information: bamponsah@ug.edu.gh College of Education School of Continuing and Distance Education

More information

Automaticity of Number Perception

Automaticity of Number Perception Automaticity of Number Perception Jessica M. Choplin (jessica.choplin@vanderbilt.edu) Gordon D. Logan (gordon.logan@vanderbilt.edu) Vanderbilt University Psychology Department 111 21 st Avenue South Nashville,

More information

The effect of stimulus duration on the persistence of gratings

The effect of stimulus duration on the persistence of gratings Perception & Psychophysics 1980,27 (6),574-578 The effect of stimulus duration on the persistence of gratings ALISON BOWLING and WILLIAM LOVEGROVE University oftasmania, Hobart, Tasmania, Australia 700/

More information

A Race Model of Perceptual Forced Choice Reaction Time

A Race Model of Perceptual Forced Choice Reaction Time A Race Model of Perceptual Forced Choice Reaction Time David E. Huber (dhuber@psyc.umd.edu) Department of Psychology, 1147 Biology/Psychology Building College Park, MD 2742 USA Denis Cousineau (Denis.Cousineau@UMontreal.CA)

More information

Convergence Principles: Information in the Answer

Convergence Principles: Information in the Answer Convergence Principles: Information in the Answer Sets of Some Multiple-Choice Intelligence Tests A. P. White and J. E. Zammarelli University of Durham It is hypothesized that some common multiplechoice

More information

Are the Referents Remembered in Temporal Bisection?

Are the Referents Remembered in Temporal Bisection? Learning and Motivation 33, 10 31 (2002) doi:10.1006/lmot.2001.1097, available online at http://www.idealibrary.com on Are the Referents Remembered in Temporal Bisection? Lorraine G. Allan McMaster University,

More information

Discrimination and Generalization in Pattern Categorization: A Case for Elemental Associative Learning

Discrimination and Generalization in Pattern Categorization: A Case for Elemental Associative Learning Discrimination and Generalization in Pattern Categorization: A Case for Elemental Associative Learning E. J. Livesey (el253@cam.ac.uk) P. J. C. Broadhurst (pjcb3@cam.ac.uk) I. P. L. McLaren (iplm2@cam.ac.uk)

More information

11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES

11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES Correlational Research Correlational Designs Correlational research is used to describe the relationship between two or more naturally occurring variables. Is age related to political conservativism? Are

More information

Journal of Experimental Psychology: Learning, Memory, and Cognition

Journal of Experimental Psychology: Learning, Memory, and Cognition Journal of Experimental Psychology: Learning, Memory, and Cognition Evidence for Direct Retrieval of Relative Quantity Information in a Quantity Judgment Task: Decimals, Integers, and the Role of Physical

More information

Group Assignment #1: Concept Explication. For each concept, ask and answer the questions before your literature search.

Group Assignment #1: Concept Explication. For each concept, ask and answer the questions before your literature search. Group Assignment #1: Concept Explication 1. Preliminary identification of the concept. Identify and name each concept your group is interested in examining. Questions to asked and answered: Is each concept

More information

RECALL OF PAIRED-ASSOCIATES AS A FUNCTION OF OVERT AND COVERT REHEARSAL PROCEDURES TECHNICAL REPORT NO. 114 PSYCHOLOGY SERIES

RECALL OF PAIRED-ASSOCIATES AS A FUNCTION OF OVERT AND COVERT REHEARSAL PROCEDURES TECHNICAL REPORT NO. 114 PSYCHOLOGY SERIES RECALL OF PAIRED-ASSOCIATES AS A FUNCTION OF OVERT AND COVERT REHEARSAL PROCEDURES by John W. Brelsford, Jr. and Richard C. Atkinson TECHNICAL REPORT NO. 114 July 21, 1967 PSYCHOLOGY SERIES!, Reproduction

More information

Principals of Object Perception

Principals of Object Perception Principals of Object Perception Elizabeth S. Spelke COGNITIVE SCIENCE 14, 29-56 (1990) Cornell University Summary Infants perceive object by analyzing tree-dimensional surface arrangements and motions.

More information

A Memory Model for Decision Processes in Pigeons

A Memory Model for Decision Processes in Pigeons From M. L. Commons, R.J. Herrnstein, & A.R. Wagner (Eds.). 1983. Quantitative Analyses of Behavior: Discrimination Processes. Cambridge, MA: Ballinger (Vol. IV, Chapter 1, pages 3-19). A Memory Model for

More information

Mental Imagery. What is Imagery? What We Can Imagine 3/3/10. What is nature of the images? What is the nature of imagery for the other senses?

Mental Imagery. What is Imagery? What We Can Imagine 3/3/10. What is nature of the images? What is the nature of imagery for the other senses? Mental Imagery What is Imagery? What is nature of the images? Exact copy of original images? Represented in terms of meaning? If so, then how does the subjective sensation of an image arise? What is the

More information

LAB 1: MOTOR LEARNING & DEVELOPMENT REACTION TIME AND MEASUREMENT OF SKILLED PERFORMANCE. Name: Score:

LAB 1: MOTOR LEARNING & DEVELOPMENT REACTION TIME AND MEASUREMENT OF SKILLED PERFORMANCE. Name: Score: LAB 1: MOTOR LEARNING & DEVELOPMENT REACTION TIME AND MEASUREMENT OF SKILLED PERFORMANCE Name: Score: Part I: Reaction Time Environments Introduction: Reaction time is a measure of how long it takes a

More information

Image generation in a letter-classification task

Image generation in a letter-classification task Perception & Psychophysics 1976, Vol. 20 (3),215-219 Image generation in a letter-classification task THOMAS R. HERZOG Grand Valley State Colleges, Allandale, Michigan 49401 Subjects classified briefly

More information

Running head: INDIVIDUAL DIFFERENCES 1. Why to treat subjects as fixed effects. James S. Adelman. University of Warwick.

Running head: INDIVIDUAL DIFFERENCES 1. Why to treat subjects as fixed effects. James S. Adelman. University of Warwick. Running head: INDIVIDUAL DIFFERENCES 1 Why to treat subjects as fixed effects James S. Adelman University of Warwick Zachary Estes Bocconi University Corresponding Author: James S. Adelman Department of

More information

Sperling conducted experiments on An experiment was conducted by Sperling in the field of visual sensory memory.

Sperling conducted experiments on An experiment was conducted by Sperling in the field of visual sensory memory. Levels of category Basic Level Category: Subordinate Category: Superordinate Category: Stages of development of Piaget 1. Sensorimotor stage 0-2 2. Preoperational stage 2-7 3. Concrete operational stage

More information

Short article The role of response selection in sequence learning

Short article The role of response selection in sequence learning THE QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY 2006, 59 (3), 449 456 Short article The role of response selection in sequence learning Natacha Deroost and Eric Soetens Vrije Universiteit Brussel, Brussels,

More information

Intentional versus unintentional use of contingencies between perceptual events

Intentional versus unintentional use of contingencies between perceptual events University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Publications, Department of Psychology Psychology, Department of 1996 Intentional versus unintentional use of contingencies

More information

The scope of perceptual content, II: properties

The scope of perceptual content, II: properties The scope of perceptual content, II: properties Jeff Speaks November 16, 2009 1 What are the candidates?............................ 1 2 Arguments for inclusion............................. 2 2.1 From

More information

Comment on McLeod and Hume, Overlapping Mental Operations in Serial Performance with Preview: Typing

Comment on McLeod and Hume, Overlapping Mental Operations in Serial Performance with Preview: Typing THE QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1994, 47A (1) 201-205 Comment on McLeod and Hume, Overlapping Mental Operations in Serial Performance with Preview: Typing Harold Pashler University of

More information

Feature encoding and pattern classifications with sequentially presented Markov stimuli*

Feature encoding and pattern classifications with sequentially presented Markov stimuli* Feature encoding and pattern classifications with sequentially presented Markov stimuli* BLL R. BROWN and CHARLES E. AYLWORTH University of Louisville, Louisville, Kentucky 008 The major objective of this

More information

Working Memory and Retrieval: A Resource-Dependent Inhibition Model

Working Memory and Retrieval: A Resource-Dependent Inhibition Model Journal of Experimental Psychology: General 1994, Vol. 123, No. 4, 354-373 Copyright 1994 by the American Psychological Association Inc 0096-3445/94/S3.00 Working Memory and Retrieval: A Resource-Dependent

More information

The Effect of Training Context on Fixations Made During Visual Discriminations

The Effect of Training Context on Fixations Made During Visual Discriminations The Effect of Training Context on Fixations Made During Visual Discriminations Randy J. Brou (Rbrou@Inst.Msstate.Edu) 1 Teena M. Garrison (Teenag@Cavs.Msstate.Edu) 2 Stephanie M. Doane (Sdoane@Doane.Inst.Msstate.Edu)

More information

Two-digit Number Comparison:

Two-digit Number Comparison: Two-digit Number Comparison: Digit Similarity Effect on Reaction Time in Two-digit Number Comparison by Hyunmo Pang A thesis submitted to the Department of Psychology in conformity with requirements for

More information

A Race Model of Perceptual Forced Choice Reaction Time

A Race Model of Perceptual Forced Choice Reaction Time A Race Model of Perceptual Forced Choice Reaction Time David E. Huber (dhuber@psych.colorado.edu) Department of Psychology, 1147 Biology/Psychology Building College Park, MD 2742 USA Denis Cousineau (Denis.Cousineau@UMontreal.CA)

More information

JUDGMENTAL MODEL OF THE EBBINGHAUS ILLUSION NORMAN H. ANDERSON

JUDGMENTAL MODEL OF THE EBBINGHAUS ILLUSION NORMAN H. ANDERSON Journal of Experimental Psychology 1971, Vol. 89, No. 1, 147-151 JUDGMENTAL MODEL OF THE EBBINGHAUS ILLUSION DOMINIC W. MASSARO» University of Wisconsin AND NORMAN H. ANDERSON University of California,

More information

Supplementary Materials

Supplementary Materials Supplementary Materials Supplementary Figure S1: Data of all 106 subjects in Experiment 1, with each rectangle corresponding to one subject. Data from each of the two identical sub-sessions are shown separately.

More information

Analogical Inference

Analogical Inference Analogical Inference An Investigation of the Functioning of the Hippocampus in Relational Learning Using fmri William Gross Anthony Greene Today I am going to talk to you about a new task we designed to

More information

Psychonomic Bulletin and Review, in press. Physical similarity (and not quantity representation) drives perceptual comparison of

Psychonomic Bulletin and Review, in press. Physical similarity (and not quantity representation) drives perceptual comparison of Psychonomic Bulletin and Review, in press Physical similarity (and not quantity representation) drives perceptual comparison of numbers: Evidence from two Indian notations (in press; Psychonomic Bulletin

More information

The influence of irrelevant information on speeded classification tasks*

The influence of irrelevant information on speeded classification tasks* The influence of irrelevant information on speeded classification tasks* ARNOLD D. WELLt University of Oregon, Eugene, Oregon 97403 Multidimensional stimuli, which could vary on one, two, or all three

More information

Chapter 3: Examining Relationships

Chapter 3: Examining Relationships Name Date Per Key Vocabulary: response variable explanatory variable independent variable dependent variable scatterplot positive association negative association linear correlation r-value regression

More information

Perception. Chapter 8, Section 3

Perception. Chapter 8, Section 3 Perception Chapter 8, Section 3 Principles of Perceptual Organization The perception process helps us to comprehend the confusion of the stimuli bombarding our senses Our brain takes the bits and pieces

More information

Polarity correspondence in comparative number magnitude judgments

Polarity correspondence in comparative number magnitude judgments Psychonomic Bulletin & Review 2010, 17 (2), 219-223 doi:10.3758/pbr.17.2.219 Polarity correspondence in comparative number magnitude judgments ROLF REBER University of Bergen, Bergen, Norway PASCAL WURTZ

More information

Natural Scene Statistics and Perception. W.S. Geisler

Natural Scene Statistics and Perception. W.S. Geisler Natural Scene Statistics and Perception W.S. Geisler Some Important Visual Tasks Identification of objects and materials Navigation through the environment Estimation of motion trajectories and speeds

More information

Selective bias in temporal bisection task by number exposition

Selective bias in temporal bisection task by number exposition Selective bias in temporal bisection task by number exposition Carmelo M. Vicario¹ ¹ Dipartimento di Psicologia, Università Roma la Sapienza, via dei Marsi 78, Roma, Italy Key words: number- time- spatial

More information

AN EPIC COMPUTATIONAL MODEL OF VERBAL WORKING MEMORY D. E. Kieras, D. E. Meyer, S. T. Mueller, T. L. Seymour University of Michigan Sponsored by the

AN EPIC COMPUTATIONAL MODEL OF VERBAL WORKING MEMORY D. E. Kieras, D. E. Meyer, S. T. Mueller, T. L. Seymour University of Michigan Sponsored by the AN EPIC COMPUTATIONAL MODEL OF VERBAL WORKING MEMORY D. E. Kieras, D. E. Meyer, S. T. Mueller, T. L. Seymour University of Michigan Sponsored by the U.S. Office of Naval Research 1 Introduction During

More information

..." , \ I \ ... / ~\ \ : \\ ~ ... I CD ~ \ CD> 00\ CD) CD 0. Relative frequencies of numerical responses in ratio estimation1

... , \ I \ ... / ~\ \ : \\ ~ ... I CD ~ \ CD> 00\ CD) CD 0. Relative frequencies of numerical responses in ratio estimation1 Relative frequencies of numerical responses in ratio estimation1 JOHN C. BAIRD.2 CHARLES LEWIS, AND DANIEL ROMER3 DARTMOUTH COLLEGE This study investigated the frequency of different numerical responses

More information

A model of visible persistence and temporal integration

A model of visible persistence and temporal integration A model of visible persistence and temporal integration '*MARINA T. GRONER, 2 WALTER F. BISCHOF and 2 VINCENT DI LOLLO 'Department of Psychology, University of Bern, Laupenstrasse 4, 3008 Bern, Switzerland

More information

Attention shifts during matching-to-sample performance in pigeons

Attention shifts during matching-to-sample performance in pigeons Animal Learning & Behavior 1975, Vol. 3 (2), 85-89 Attention shifts during matching-to-sample performance in pigeons CHARLES R. LEITH and WILLIAM S. MAKI, JR. University ofcalifornia, Berkeley, California

More information

CHAPTER VI RESEARCH METHODOLOGY

CHAPTER VI RESEARCH METHODOLOGY CHAPTER VI RESEARCH METHODOLOGY 6.1 Research Design Research is an organized, systematic, data based, critical, objective, scientific inquiry or investigation into a specific problem, undertaken with the

More information

so that a respondent may choose one of the categories to express a judgment about some characteristic of an object or of human behavior.

so that a respondent may choose one of the categories to express a judgment about some characteristic of an object or of human behavior. Effects of Verbally Labeled Anchor Points on the Distributional Parameters of Rating Measures Grace French-Lazovik and Curtis L. Gibson University of Pittsburgh The hypothesis was examined that the negative

More information

How to interpret results of metaanalysis

How to interpret results of metaanalysis How to interpret results of metaanalysis Tony Hak, Henk van Rhee, & Robert Suurmond Version 1.0, March 2016 Version 1.3, Updated June 2018 Meta-analysis is a systematic method for synthesizing quantitative

More information

Testing the representation of time in reference memory in the bisection and the generalization task: The utility of a developmental approach

Testing the representation of time in reference memory in the bisection and the generalization task: The utility of a developmental approach PQJE178995 TECHSET COMPOSITION LTD, SALISBURY, U.K. 6/16/2006 THE QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY 0000, 00 (0), 1 17 Testing the representation of time in reference memory in the bisection

More information

University of Alberta. The SNARC effect as a tool to Examine Crosstalk during Numerical Processing in a PRP paradigm. Shawn Tan

University of Alberta. The SNARC effect as a tool to Examine Crosstalk during Numerical Processing in a PRP paradigm. Shawn Tan University of Alberta The SNARC effect as a tool to Examine Crosstalk during Numerical Processing in a PRP paradigm by Shawn Tan A thesis submitted to the Faculty of Graduate Studies and Research in partial

More information

Attention capacity and task difficulty in visual search

Attention capacity and task difficulty in visual search Cognition 94 (2005) B101 B111 www.elsevier.com/locate/cognit Brief article Attention capacity and task difficulty in visual search Liqiang Huang, Harold Pashler* Department of Psychology 0109, University

More information

ELEMENTS OF PSYCHOPHYSICS Sections VII and XVI. Gustav Theodor Fechner (1860/1912)

ELEMENTS OF PSYCHOPHYSICS Sections VII and XVI. Gustav Theodor Fechner (1860/1912) ELEMENTS OF PSYCHOPHYSICS Sections VII and XVI Gustav Theodor Fechner (1860/1912) Translated by Herbert Sidney Langfeld (1912) [Classics Editor's note: This translation of these passages from Fechner's

More information

GENERALIZATION GRADIENTS AS INDICANTS OF LEARNING AND RETENTION OF A RECOGNITION TASK 1

GENERALIZATION GRADIENTS AS INDICANTS OF LEARNING AND RETENTION OF A RECOGNITION TASK 1 Journal of Experimental Psychology 967, Vol. 7S, No. 4, 464-47 GENERALIZATION GRADIENTS AS INDICANTS OF LEARNING AND RETENTION OF A RECOGNITION TASK HARRY P. BAHRICK, SANDRA CLARK, AND PHYLLIS BAHRICK

More information

Production, reproduction, and verbal estimation of duration. John Wearden Keele University U.K.

Production, reproduction, and verbal estimation of duration. John Wearden Keele University U.K. Production, reproduction, and verbal estimation of duration John Wearden Keele University U.K. In this talk I want to illustrate the use of the techniques of production, reproduction, and verbal estimation

More information

Cognition 121 (2011) Contents lists available at SciVerse ScienceDirect. Cognition. journal homepage:

Cognition 121 (2011) Contents lists available at SciVerse ScienceDirect. Cognition. journal homepage: Cognition 121 (2011) 363 385 Contents lists available at SciVerse ScienceDirect Cognition journal homepage: www.elsevier.com/locate/cognit The mental representation of integers: An abstract-to-concrete

More information

Short-Term Memory Demands of Reaction-Time Tasks That Differ in Complexity

Short-Term Memory Demands of Reaction-Time Tasks That Differ in Complexity Journal of Experimental Psychology: Human Perception and Performance 190, Vol. 6, No. 2, 375-39 Short-Term Memory Demands of Reaction-Time Tasks That Differ in Complexity Gordon D. Logan Erindale College,

More information

Spatial distortions within the Poggendorff figure and its variants: A parametric analysis

Spatial distortions within the Poggendorff figure and its variants: A parametric analysis Perception & Psychophysics 1977, Vol. 21 (2), 118-124 Spatial distortions within the Poggendorff figure and its variants: A parametric analysis KATHRYN QUINA-HOLLAND University of Wisconsin-Milwaukee,

More information

Lecture 4: Research Approaches

Lecture 4: Research Approaches Lecture 4: Research Approaches Lecture Objectives Theories in research Research design approaches ú Experimental vs. non-experimental ú Cross-sectional and longitudinal ú Descriptive approaches How to

More information

Sequential Effects in Spatial Exogenous Cueing: Theoretical and Methodological Issues

Sequential Effects in Spatial Exogenous Cueing: Theoretical and Methodological Issues Sequential Effects in Spatial Exogenous Cueing: Theoretical and Methodological Issues Alessandro Couyoumdjian (alessandro.couyoumdjian@uniroma1.it) Faculty of Psychology 1, University La Sapienza via dei

More information

Gaze Bias Learning II. Linking neuroscience, computational modeling, and cognitive development. Tokyo, Japan March 12, 2012

Gaze Bias Learning II. Linking neuroscience, computational modeling, and cognitive development. Tokyo, Japan March 12, 2012 Gaze Bias Learning II Linking neuroscience, computational modeling, and cognitive development Tokyo, Japan March 12, 2012 Tamagawa University Research & Management Building Meeting room 507 This workshop

More information

on both components of conc Fl Fl schedules, c and a were again less than 1.0. FI schedule when these were arranged concurrently.

on both components of conc Fl Fl schedules, c and a were again less than 1.0. FI schedule when these were arranged concurrently. JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR 1975, 24, 191-197 NUMBER 2 (SEPTEMBER) PERFORMANCE IN CONCURRENT INTERVAL SCHEDULES: A SYSTEMATIC REPLICATION' BRENDA LOBB AND M. C. DAVISON UNIVERSITY

More information

STATISTICS AND RESEARCH DESIGN

STATISTICS AND RESEARCH DESIGN Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have

More information

Structure mapping in spatial reasoning

Structure mapping in spatial reasoning Cognitive Development 17 (2002) 1157 1183 Structure mapping in spatial reasoning Merideth Gattis Max Planck Institute for Psychological Research, Munich, Germany Received 1 June 2001; received in revised

More information

Chapter 2 Norms and Basic Statistics for Testing MULTIPLE CHOICE

Chapter 2 Norms and Basic Statistics for Testing MULTIPLE CHOICE Chapter 2 Norms and Basic Statistics for Testing MULTIPLE CHOICE 1. When you assert that it is improbable that the mean intelligence test score of a particular group is 100, you are using. a. descriptive

More information

CONTEXTUAL EFFECTS IN INFORMATION INTEGRATION

CONTEXTUAL EFFECTS IN INFORMATION INTEGRATION Journal ol Experimental Psychology 1971, Vol. 88, No. 2, 18-170 CONTEXTUAL EFFECTS IN INFORMATION INTEGRATION MICHAEL H. BIRNBAUM,* ALLEN PARDUCCI, AND ROBERT K. GIFFORD University of California, Los Angeles

More information

Auditory temporal order and perceived fusion-nonfusion

Auditory temporal order and perceived fusion-nonfusion Perception & Psychophysics 1980.28 (5). 465-470 Auditory temporal order and perceived fusion-nonfusion GREGORY M. CORSO Georgia Institute of Technology, Atlanta, Georgia 30332 A pair of pure-tone sine

More information

Dissociating between cardinal and ordinal and between the value and size magnitudes of coins

Dissociating between cardinal and ordinal and between the value and size magnitudes of coins Psychonomic Bulletin & Review 2010, 17 (6), 889-894 doi:10.3758/pbr.17.6.889 Dissociating between cardinal and ordinal and between the value and size magnitudes of coins Daniel Fitousi Pennsylvania State

More information

Does scene context always facilitate retrieval of visual object representations?

Does scene context always facilitate retrieval of visual object representations? Psychon Bull Rev (2011) 18:309 315 DOI 10.3758/s13423-010-0045-x Does scene context always facilitate retrieval of visual object representations? Ryoichi Nakashima & Kazuhiko Yokosawa Published online:

More information

The role of parity, physical size, and magnitude in numerical cognition: The SNARC effect revisited

The role of parity, physical size, and magnitude in numerical cognition: The SNARC effect revisited Attention, Perception, & Psychophysics 2009, 71 (1), 143-155 doi:10.3758/app.71.1.143 The role of parity, physical size, and magnitude in numerical cognition: The SNARC effect revisited DANIEL FITOUSI

More information

Unit 1 Exploring and Understanding Data

Unit 1 Exploring and Understanding Data Unit 1 Exploring and Understanding Data Area Principle Bar Chart Boxplot Conditional Distribution Dotplot Empirical Rule Five Number Summary Frequency Distribution Frequency Polygon Histogram Interquartile

More information

Technical Specifications

Technical Specifications Technical Specifications In order to provide summary information across a set of exercises, all tests must employ some form of scoring models. The most familiar of these scoring models is the one typically

More information

The role of priming. in conjunctive visual search

The role of priming. in conjunctive visual search The role of priming in conjunctive visual search Árni Kristjánsson DeLiang Wang 1 and Ken Nakayama 2 Word count: Main text: 3423 Total: 4368 Correspondence: Árni Kristjánsson Vision Sciences Laboratory

More information

Lecturer: Dr. Benjamin Amponsah, Dept. of Psychology, UG, Legon Contact Information:

Lecturer: Dr. Benjamin Amponsah, Dept. of Psychology, UG, Legon Contact Information: Lecturer: Dr. Benjamin Amponsah, Dept. of Psychology, UG, Legon Contact Information: bamponsah@ug.edu.gh College of Education School of Continuing and Distance Education 2014/2015 2016/2017 Session Overview

More information

Relationships. Between Measurements Variables. Chapter 10. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc.

Relationships. Between Measurements Variables. Chapter 10. Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. Relationships Chapter 10 Between Measurements Variables Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. Thought topics Price of diamonds against weight Male vs female age for dating Animals

More information

Chapter 11. Experimental Design: One-Way Independent Samples Design

Chapter 11. Experimental Design: One-Way Independent Samples Design 11-1 Chapter 11. Experimental Design: One-Way Independent Samples Design Advantages and Limitations Comparing Two Groups Comparing t Test to ANOVA Independent Samples t Test Independent Samples ANOVA Comparing

More information