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Title: Psychology Grad Forum Presented to you by:


1
Psychology Grad Forum Presented to you by
  • Confused about how to get into grad school?
  • Wondering where to go?
  • Dont know how youre going to pay for it?
  • Come to the Grad Forum Wed. Nov. 8th from 5-7 in
    ETLC 1-017 to find answers to these questions and
    more!!!!!!
  • Contact Aimée Grover at grover_at_ualberta.ca if you
    are attending
  • UPA Members Free Non-Members 1

2
Update on Schedule
  • You will NOT be responsible for
  • Chap 8 (Time Place)
  • Chap 9 (pp. 192 200)
  • Chap 10 (Models)

3
Lecture 14 Psyco 350, A1Fall, 2006
  • N. R. Brown

4
Outline
  • Implicit Memory Real-World Estimation
  • Semantic Memory Priming

5
Brown Siegler (1992) Method
  • Materials 100 countries
  • Participants 24 CMU undergrads
  • Tasks
  • Rate knowledge
  • Estimate population

6
Brown Siegler (1992) Results
  • Important results
  • As predicted, R(est w/ know) quite high (.58)
  • R(est w/know) .58 gtgt R(est/true) .41
  • Interpretation
  • pop-estimates based in availability-base
    intuitions

7
Availability Population Estimation
  • Interpretation
  • pop-estimates based in availability-base
    intuitions
  • An Alterative Interpretation
  • People hold preexisting beliefs about the size of
    well-known countries.
  • These beliefs are biased by media coverage.
  • People infer that unknown countries are small.

8
Availability Population Estimation
  • People can and do justify their estimates with
    reference to task relevant knowledge.
  • Size categories are often mentioned.
  • Comparisons w/ other countries also occur
  • Key question
  • Are size categories retrieved or inferred?

9
Brown, Cui, Gordon (2002)
  • Aim Determine whether population estimation is
    sensitive to priming, as Availability account
    predicts.
  • Method
  • Phase 1 rate knowledge
  • 52 countries (primed set)
  • Phase 2 estimate populations
  • 52 primed countries 52 unprimed countries
  • primed unprimed sets matched for estimated
    pop, rated kn, actual pop, actual area region

10
Brown et al. (2002) Results
  • Availability Prediction Primed gt Unprimed
  • Results
  • Primed 23.3 million
  • Unprimed 21.2 million
  • ? 2.1 million
  • ? 10
  • Interpretation
  • knowledge ratings ? availability/fluency in
    primed set
  • Availability/fluency influenced estimation
    process

11
Another Example Fatality Estimates
  • Task How many Canadians died of CauseX last
    year?
  • Results
  • reasonable correlation between estimated true
    fatality rate.
  • Availability Bias holding true frequency
    constant, more vivid causes elicit ? estimates



12
Another Example Fatality Estimates
  • Task How many Canadians dies of CauseX last
    year?
  • Results
  • reasonable correlation between estimated true
    fatality rate.
  • Availability Bias holding true frequency
    constant, more vivid causes elicit ? estimates



13
Importance of Availability
  • Importance of availability differs across tasks.
  • __________________________________________________
    _________________________________________
  • Determinants
  • actual/perceived correlation between propx and
    memory
  • quantity credibility of competing information
  • __________________________________________________
    ________________________________________

14
Importance of Availability
  • Judgment/estimation tasks that are (sometimes)
    display an availability bias
  • recency (dates, recognition), truth, fatality
    rates, frequency, probability, corporate sales,
    wealth, population
  • Judgment/estimation tasks that do not display an
    availability bias
  • age, distance, area, latitude, longitude

15
Summary Implicit Memory Judgment
  • Prior exposure (priming) facilitates subsequent
    processing (increased fluency).
  • People are sensitive to differences in fluency.
  • Fluency/availability (sometimes) treated as
    important cue to the value of target property.
  • This happens when
  • prop x correlates w/ memory
  • other task-relevant information
    sparse/non-predictive

16
Summary Implicit Memory Judgment
  • Use of fluency/availability in judgment often
    produces biased performance
  • Reason many factors impact availability.
  • For example cultural physical distance,
    economic power, group conflict affect rated
    knowledge, but do not necessarily correlated w/
    actual population

17
Semantic Memory Original Definition
  • Semantic memory is the memory necessary for the
    use of language. It is a mental thesaurus,
    organized knowledge a person possesses about
    words and other verbal symbols, their meaning and
    referents, about relations among them, and about
    rules, formulas, and algorithms for the
    manipulation of these symbols, concepts and
    relations. (Endel Tulving, 1972, p. 36)

18
Contents of Semantic Memory
  • We know many, many things
  • word meanings (lt 20K), geography, history,
    sports, pop culture, genealogy, social relations,
    biological facts, etc, etc
  • Most of this knowledge
  • easily readily accessed
  • decontextualized

19
Semantic Memory Important Issues
  • How is complex information
  • acquired, revised, represented, organized,
    accessed, manipulated.
  • Some basic elements are understood in a general
    way.
  • semantic networks
  • spreading activation
  • schemata/scripts
  • Potential building blocks for a more complete
    understanding of the psychology of complex
    knowledge.

20
Semantic Networks I Collins Loftus (1975)
  • Semantic memory is organized as a network of
    interrelated concepts
  • Each concept is represented as a node
  • Concepts are linked together by pathways
  • Length of pathways reflects degree of semantic
    relatedness/ associative strength
  • Concepts close in meaning / highly related (e.g.,
    red, fire) stored close together.
  • Unrelated concepts (red, street) are stored far
    away

21
An Example of a Semantic Network
22
Spreading Activation Semantic Networks
  • Accessed node is a source of activation
  • Activation spreads from source to related nodes.
  • The amount of activation received by a given node
    is a function of path length.
  • The more active a concept is, the more readily it
    will be retrieved.
  • Implication Retrieving a given concept should be
    easier when it is proceeded by a related concept
    than when it is not.

23
An Example of a Semantic Network
24
Semantic Priming
  • Implication of spreading activation account
  • A given concept should be primed responded to
    more rapidly/accurately when it is preceded by
    a related concept than when it is not.
  • Therefore, lexical decisions should be faster
    when target preceded by related word than when
    not.

25
Semantic Priming Meyer Schvaneveldt (1972)
  • An early demonstration of Semantic Priming
  • Task Lexical Decision -- with word pairs
  • Both items are word ? Yes
  • One item is a non-word ? No
  • Both items are non-words ? No

26
Semantic Priming Meyer Schvaneveldt (1972)
  • Stimuli
  • Associated word pairs nurse-doctor
  • Unrelated word pairs bread-doctor
  • word non-word bread-treb
  • non-word word treb-bread
  • non-word non-word treb-manty

27
Meyer Schvaneveldt (1972) Results
  • Main Finding
  • word-word pairs associated RT lt unassociated RT

28
Spreading Activation
  • Spreading activation assumed automatic.
  • Do expectancies affect semantic access?
  • Can activation be control?

29
Neely (1977)
  • Basic Premises 2 components to priming
  • Automatic component
  • fast, effortless, unaffected by
    intention/expectation
  • Controlled component
  • Attentional, Slow, Effortful,
  • Benefits (if correct)
  • Costs (if incorrect)

30
Neely (1977)
  • Goal Contrast automatic controlled priming
  • Task
  • Lexical Decision -- Timed Word/Non-word Decision
  • Trial
  • Prime ? Target ? Response
  • SOA RT
  • SOA Stimulus Onset Asynchrony

31
Neely (1977) Design
  • Prime-Target
  • Expectation X Relation X SOA
    .
  • No Shift 250 msec
  • Shift 400 msec
  • 700 msec
  • 2000 msec
  • see next slide

32
  • No Shift Trials See Bird as prime expect a bird
    name as target.
  • 1. Neutral XXXX -- robin
  • 2. No Shift BIRD -- robin
  • 3. Shift (unexpected) BIRD -- arm
  • Shift Trials See Building as prime, expect a
    Body Part as target.
  • 1. Neutral XXXXX -- window
  • 2. No Shift BUILDING -- window
  • 3. Shift (expected) BUILDING -- leg
  • 4. Shift (unexpected) BUILDING -- robin

33
  • No Shift Trials See Bird as prime expect a bird
    name as target.
  • 1. Neutral XXXX -- robin
  • 2. No Shift BIRD -- robin 80 primed trials
  • 3. Shift (unexpected) BIRD -- arm 20 primed
    trials
  • Shift Trials See Building as prime, expect a
    Body Part as target.
  • 1. Neutral XXXXX -- window
  • 2. No Shift BODY -- leg 10 primed
    trials
  • 3. Shift (expected) BODY window 80 primed
    trials
  • 4. Shift (unexpected) BODY robin 10 primed
    trials

34
Neely (1977) Results
  • A Priming Effect Neutral Trials - Primed Trials
  • Two Type of Priming Effects
  • Facilitation Effects -- Positive Priming
  • Priming effect is positive -- Neutral gt Primed
  • Inhibition Effect -- Negative Priming
  • Priming effect is negative -- Neutral lt Primed

35
Neely (1977) Results NO Shift Expected
  • No-shift, same-category pairs (Bird-robin)
  • Substantial facilitation at all SOA.
  • 2. Shift, different-category pairs (Bird-arm)
  • Inhibition increases with SOA

36
Neely (1977) Results Shift Expected
  • 1. Expected Shift (BODY door)
  • Facilitation increases with SOA
  • 2. No-shift, same-category (BODY -- heart)
  • Facilitation at smallest SOA
  • Increasing inhibition at longer SOAs

37
Neely (1977) Results Shift Expected
  • 1. Expected Shift (Building-leg)
  • Facilitation increases with SOA
  • 2. No-shift, same-category pairs
    (Building-window)
  • Facilitation at smallest SOA
  • Increasing inhibition at longer SOAs
  • 3. Shift to unexpected category (BODY - robin)
  • Inhibition at all SOAs
  • Inhibition increases with SOA

38
Neely (1977) An Explanation
  • 1. Automatic Spreading Activation
  • Originates at prime, spreads to related concepts,
    decays rapidly.
  • 2. Attention required to maintain activation over
    longer SOAs.

39
Neely (1977) An Explanation
  • 3. Focusing attention on one category
  • facilitates (primes) processing of category
    members
  • interferes with the processing (reading/word
    recognition) of items from other categories

40
Neely (1977) An Explanation
  • 4. In the Shift-Expected condition, subjects
    shift attention to maintain attention for cued
    category
  • It takes time to shift attention to new category.
  • Once attention is shifted, focus is on the new
    category.

41
Neely (1977) An Explanation
  • Shifting categories takes times.
  • Maintaining focus on indicated category
  • facilities processing of focal category members
  • reduces attentional resources required to read
    decide whether letter string is a word.

42
Semantic Networks Priming
  • Semantic Network
  • general knowledge representation
  • based on relatedness, meaning-based similarity
  • Spreading Activation
  • automatic consequence of processing a related
    information
  • preparation for encountering the expected
  • Activated concepts sometimes equated w/
    consciousness focal elements of WM (Cowan)
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