CMST300 Exam 3 Chapters 9 & 11

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calhounk1
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CMST300 Exam 3 Chapters 9 & 11
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2013-11-06 00:17:45
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CMST300 Exam 3
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  1. Hawthorne effect
    Response is influenced because you're being observed
  2. Maturation
    Participants changing during process of experiment
  3. Selection biases
    A difference (sex, major, etc.) in the groups of people.
  4. Intersubject bias
    Something going on between the subjects.

    Eg. Students in 10a class telling students in 11a class about test.
  5. Compensatory rivalry
    Group deprived on stimulus will work harder because they know they have to over come something.
  6. Demoralization
    Opposite of compensatory rivalry, they just give up and don't try to do better.
  7. Experiment effect
    Involves a researcher or a confederate who is aware of the study's purpose, variables and hypotheses, this individual could unconsciously threat participants differently in the carious conditions of the study.
  8. Observer bias
    The researchers' knowledge of the research study's purpose, variables and hypotheses biases their observations of the dependent variable in some way.
  9. Researcher attribute effect
    When some characteristic or feature of the researcher systematically affects the participant responses in a study.
  10. Researcher related threats (three listed)
    Experimenter threats, observer bias, researcher attribute effect
  11. Testing effect
    People learning from the test
  12. History
    Results of a study could be the result of current events that take place while the experiment is being conducted.
  13. Instrumentation
    If the instrument changes from the first measurement to the second.
  14. Treatment confound
    Outside variable manipulated results. Eg. Increase in ice cream sales and violence.
  15. Statistical regression
    pre-post test, people regress to the statistical average
  16. Compensation
    When group deprived of a stimulus given something else to make up for it, that something is a manipulation
  17. Pre-experimental
    little control, NO random assignment, IV manipulated or observed.
  18. Quasi-experimental
    Some control, assignment by pretest or naturally occurring groups, IV observed (field)
  19. "True" experimental
    Involves 2 key elements: RANDOM assignment of participants, experimental and control groups.
  20. Pre-experimental experiment types (listed)
    • One-shot case study
    • One group pre-test/post-test design
    • Static Group Comparison
  21. One-shot case study
    Manipulate group-->Observation/post-test
  22. One group pretest-posttest
    Pretest-->Manipulation-->Posttest
  23. Static group comparison
    • Group A--> Manipulation-->Postttest
    • Group B----------------------> Post test
  24. Nonequivalent Control Group Design
    Pretest group A->manipulate->posttest group b

    pretest group A-------->posttest

    *comparable groups
  25. Time-series design
    pre1-pre2-pre3-->manipulation-->post1-post2-post3

    Eg. being scared after watching pll, fear goes down over time.
  26. Multiple series design
    pre1grpA-pre2grpA-pre3grpA-->mani-->post1-3

    SAA only B, no manipulation
  27. pretest-posttest control group design
    random grpA--pretest--manipulation--posttest

    random grpB--pretest-------------------post test
  28. posttest only control group design
    • random grpA--mani--posttest
    • random grpB-----postttest
  29. Quantification
    Process of converting data into numerical form
  30. codebook
    A document that describes the locations of variables and lists the code assignments to the attributes composing those variables.

    useful because matches variables with a description, tells us what our variables were and how we quantified them.
  31. descriptive statistics
    a way to summarize a large set of data
  32. standard deviation
    how far values are distributed around the mean, based on theoretical distribution
  33. positive skew
    high values tend to appear with less frequency than a normal curve
  34. negative skew
    low values tend to appear with less frequency than in a normal curve
  35. kurtosis
    the height of the "middle peak" of the curve

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