S1 (FriAM 1-65) - The Psychonomic Society
S1 (FriAM 1-65) - The Psychonomic Society
S1 (FriAM 1-65) - The Psychonomic Society
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Papers 172–178 Saturday Morning<br />
Skill Retention and Transfer<br />
Regency DEFH, Saturday Morning, 10:40–12:00<br />
Chaired by Thomas H. Carr, Michigan State University<br />
10:40–10:55 (172)<br />
When Adults Think Like Kids About Equality: Schema Activation<br />
and Time Pressure in Mathematical Problem Solving. SIVBOUNG C.<br />
GO, Michigan State University, PERCIVAL G. MATTHEWS &<br />
BETHANY RITTLE-JOHNSON, Vanderbilt University, & THOMAS H.<br />
CARR, Michigan State University (read by Thomas H. Carr)—When<br />
elementary-school-aged children solve 5 + 7 + 4 = 6 + __, the most<br />
common response is 22 and the next most common response is 16—<br />
quite different from the algebraically correct response of 10. This<br />
error is thought to represent a mathematical misunderstanding of<br />
“equality” and its symbol, the equals sign. As a consequence of this<br />
misunderstanding, the equality symbol elicits various “add them up”<br />
strategies—add every number you see, or add to the equals sign and<br />
report what you get—rather than “make the two sides balance,” which<br />
is the mathematically correct understanding. College students get<br />
such problems right—if given unlimited time. But if practiced on simple<br />
addition and put under time pressure, they once again think like<br />
children, showing that old strategies don’t die. Instead they must be<br />
suppressed, and they can compete with newer and better strategies<br />
under demanding conditions.<br />
11:00–11:15 (173)<br />
Reverse Association in Simple Multiplication Is Task Dependent.<br />
JAMIE I. D. CAMPBELL & NICOLE D. ROBERT, University of<br />
Saskatchewan—Last year we reported a failure to find evidence that<br />
repetition of specific factoring problems (54 = ? � ?) facilitated performance<br />
of corresponding multiplication problems (6 � 9 = ?), and<br />
no evidence of facilitative transfer from multiplication (6 � 9 = ?) to<br />
factoring (54 = ? � ?). <strong>The</strong>se negative results cast doubt on claims that<br />
memory for multiplication facts (6 � 9 = 54) incorporates bidirectional<br />
links from factors to product and from product to factors. This<br />
year, we report two studies that did produce facilitative transfer in<br />
both directions between factoring and multiplication. Bidirectional<br />
transfer depends upon the type of transfer paradigm employed.<br />
11:20–11:35 (174)<br />
Typing Titles: Situation Model Development, Task Interference, and<br />
Typing Skill. TRINA C. KERSHAW, University of Massachusetts—<br />
Situation model development can be hindered by text properties, such<br />
as the lack of a title (cf. Bransford & Johnson, 1972), or by a competing<br />
task, such as proofreading. Research suggests that for highly<br />
skilled typists, transcription typing does not interfere with concurrent<br />
tasks such as text comprehension (cf. Gentner, 1988). However, when<br />
typists use an altered keyboard layout, it is likely that their situation<br />
model development will be hindered. Participants with varying levels<br />
of typing skill completed a transcription typing task of passages with<br />
or without a title on a regular or altered keyboard layout. <strong>The</strong> effects<br />
of skill interference on situation model development will be examined<br />
with respect to level of typing skill. Implications for theories of text<br />
comprehension, skill acquisition, and negative transfer will be<br />
discussed.<br />
11:40–11:55 (175)<br />
Physical but Not Mental Practice Yields Retroactive Interference.<br />
ERICA L. WOHLDMANN, California State University, Northridge,<br />
& ALICE F. HEALY & LYLE E. BOURNE, University of Colorado—<br />
Eighty participants were trained to type 64 four-digit numbers 5 times<br />
each and were tested immediately on both practiced (old) and new<br />
numbers. Half the participants typed using their right index finger,<br />
and the remaining half typed using their left index finger. Next, participants<br />
were assigned to 1 of 4 conditions. <strong>The</strong>y either mentally or<br />
physically practiced typing the old numbers 5 times each using either<br />
the same or the opposite hand as during initial training. On a final test,<br />
27<br />
all participants typed physically old and new numbers with the finger<br />
used initially. Reversing the hand used during practice led to slower<br />
execution times than did maintaining the same hand throughout practice<br />
(reflecting retroactive interference), but only with physical practice,<br />
not with mental practice. <strong>The</strong>se results are consistent with the hypothesis<br />
(Wohldmann, Healy, & Bourne, 2007) that physical, but not<br />
mental, practice strengthens a representation that includes effectordependent<br />
response execution processes.<br />
Modeling Word Processing<br />
Beacon A, Saturday Morning, 10:20–12:00<br />
Chaired by Christopher T. Kello, George Mason University<br />
10:20–10:35 (176)<br />
Large-Scale Modeling of Lexical Processing. DARAGH E. SIBLEY<br />
& CHRISTOPHER T. KELLO, George Mason University (read by<br />
Christopher T. Kello)—No current model of lexical processing includes<br />
the tens of thousands of mono- and multisyllabic words that<br />
exist in real lexicons. No single connectionist model has simulated<br />
both word naming and lexical decision tasks for real words. Two modeling<br />
innovations are presented and used to build a large-scale connectionist<br />
model of word reading that simulates both naming and lexical<br />
decision. One innovation is to adapt simple recurrent networks for<br />
learning and processing nearly 75,000 orthographic and phonological<br />
wordforms of English. <strong>The</strong> other innovation is to integrate the representation<br />
and processing of wordforms using localist units, which enables<br />
the simulation of lexical decision in one mode of processing and<br />
word naming in another, without architecturally distinct mechanisms.<br />
Processing generalizes to pseudowords because activations can be distributed<br />
over the localist units. Model performance is compared with<br />
naming and lexical decision data for over 25,000 words taken from the<br />
eLexicon database.<br />
10:40–10:55 (177)<br />
Developmental Dyslexia and the Dual Route Model of Reading:<br />
Simulating Individual Differences and Subtypes. JOHANNES C.<br />
ZIEGLER, CNRS and University of Aix-Marseille—Developmental<br />
dyslexia is investigated in the context of the dual route cascaded<br />
model of reading aloud (DRC). Four tasks were designed to assess<br />
each representational level of the DRC: letter level, orthographic lexicon,<br />
phonological lexicon, and phoneme system. <strong>The</strong> data showed no<br />
single cause of dyslexia, but rather a complex pattern of phonological,<br />
phonemic, and letter processing deficits. Individual reading performance<br />
was simulated by adding noise at a level proportional to the<br />
underlying deficit(s) of each individual. <strong>The</strong> simulations not only accounted<br />
for individual reading patterns but also for different dyslexia<br />
profiles discussed in the literature (i.e., surface, phonological, mixed,<br />
and mild dyslexia). Thus, taking into account the multiplicity of underlying<br />
deficits on an individual basis provides a parsimonious and<br />
accurate description of developmental dyslexia. <strong>The</strong> present work<br />
highlights the necessity and merits of investigating dyslexia at the<br />
level of each individual rather than as a unitary disorder.<br />
11:00–11:15 (178)<br />
Nested Incremental Modeling: <strong>The</strong> CDP+ Model of Reading Aloud.<br />
MARCO ZORZI, University of Padua, CONRAD PERRY, Swinburne<br />
University of Technology, & JOHANNES C. ZIEGLER, CNRS and<br />
University of Aix-Marseille (sponsored by Patrick Lemaire)—We present<br />
a new Connectionist Dual Process model, CDP+, which builds<br />
upon the strengths of previous models while eliminating their weaknesses.<br />
Contrary to the Dual-Route Cascaded model, CDP+ is able to<br />
learn and produce graded consistency effects. Contrary to the Triangle<br />
model, CDP+ accounts for serial effects and has more accurate<br />
nonword reading performance. CDP+ also beats all previous models<br />
by an order of magnitude when predicting individual item-level variance<br />
on large databases. Extensions of the CDP+ model to the reading<br />
of bi-syllabic words are discussed.