PreFinal Exam Review - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

PreFinal Exam Review

Description:

Ordinal / Spreading: effect exists at one level of the other IV, but is weaker ... Lines can cross in an ordinal interaction. ... Ordinal ordered categories. ... – PowerPoint PPT presentation

Number of Views:72
Avg rating:3.0/5.0
Slides: 20
Provided by: ubc5
Category:

less

Transcript and Presenter's Notes

Title: PreFinal Exam Review


1
Pre-Final Exam Review
  • Stanovich, Ch. 9 - 11
  • Pelham Blanton, Ch. 3 12
  • All lecture notes since Midterm

2
Outline
  • Exam format
  • Review presentation
  • Questions about things I didnt cover

3
Exam Format
  • Entirely multiple choice
  • bring pencil and calculator
  • Non-cumulative, although there is considerable
    overlap between textbooks
  • in case of discrepancies, base your answer on
    material covered after Midterm
  • 90 mins max
  • December 16th, at Noon, Osborne A

4
Human Behaviour is Complex
  • Most behaviours are the result of (caused by)
    many factors
  • To say that A causes B, does not mean that A is
    the only thing that causes B
  • Most behaviours result from a variety of
    biological, dispositional, social and
    environmental factors.

5
Interaction
  • The magnitude of the effect of one independent
    variable depends on the level of another
    independent variable
  • Types
  • Ordinal / Spreading effect exists at one level
    of the other IV, but is weaker or non-existent at
    the other (Pelham Blanton, p. 231)

6
Example
7
  • Types contd
  • Disordinal / Crossover NO MAIN EFFECTS. The
    effect of an IV at one level of a second IV is in
    the opposite direction at another level of that
    second IV.
  • This can be tricky. Lines can cross in an
    ordinal interaction. Not a disordinal
    interaction if there is a main effect (Pelham
    Blanton, p. 234).

8
Example
  • Is this a ordinal/spreading interaction or a
    disordinal/crossover interaction?

ORDINAL
9
Example
Spreading or Cross-over?
Cross-over
No main effect
10
Validity
  • The relative accuracy or correctness of a
    psychological statement.
  • 4 types
  • Internal
  • External
  • Construct the extent to which operationally
    defined variables map on to the abstract concepts
    we are interested in.
  • Conceptual the extent to which the study
    procedures map on to the hypothesis being tested.

11
Measurement scales
  • Nominalnamed categories.
  • Male/female
  • Ordinalordered categories.
  • Birth order, ranked likings
  • Intervalcertain distance between categories.
  • Temp., most psych scales
  • Ratiotrue zero, no negative values.
  • Weight, magnitude

12
Threats to Validity
  • 1. Individual Differences
  • 2. Selection Bias
  • Self-selection bias people select themselves
    into a study
  • Non-response bias people select themselves out
    of a study

13
  • 3. History changes occurring in larger group
  • 4. Maturation changes occurring in the person
  • 5. Regression Toward the Mean
  • 6. Testing Effects
  • 7. Attrition
  • Homogeneous attrition equal level of attrition
    across all experimental conditions
  • Heterogeneous attrition attrition is different
    depending on the experimental condition

14
  • 8. Participants Reaction Bias
  • Try to do what researcher expects (participant
    expectancies)
  • Try to do the opposite of what researcher expects
    (participant reactance)
  • Try to do whatever makes them look good
    (evaluation apprehension)
  • 9. Experimenter Bias
  • Researchers make biased observations
  • Researchers treat their subjects differently
    depending on what condition they are in
  • 10. Confounds systematic variability
  • Confounds vs. noise

15
Research Designs
  • Between Groups
  • Within Groups
  • Between-within Groups
  • Know advantages and disadvantages of each
  • Counterbalancing and Latin Square

16
Statistics
  • Descriptive vs. Inferential
  • Measures of Central Tendency
  • Mean, Median, Mode
  • Measures of Variability
  • Range, Standard Deviation
  • Shape of distribution
  • the normal curve

17
Example data
  • Measuring depression on a 20-item measure of
    depressive symptoms
  • Score lt 7 not depressed
  • Score 7 15 mildly depressed
  • Score gt 15 severely depressed, suicidal
  • 10 patient scores
  • 1, 3, 4, 7, 8, 10, 12, 17, 18, 20
  • On average, are my patients highly depressed?

18
  • Should I worry about suicide?
  • Calculate the standard deviation
  • A good chunk of my patients score above 15!

- 1
19
Hypothesis Testing
  • a probability of making a Type I error
  • ß probability of making a Type II error
  • 1 ß power to detect a significant difference
Write a Comment
User Comments (0)
About PowerShow.com