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Lecture 7, Unit 7: The Summit

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Title: Lecture 7, Unit 7: The Summit


1
Exam Study Guide
2
ABA design 
  • A baseline period where no treatment is given
    and/or no variable is introduced (A),
  • followed by a period in which the treatment or
    variable is introduced (B),
  • and then a period in which the treatment is
    removed so the behavior can be observed a second
    time (A).
  • This way you can measure behavior before
    treatment, during treatment, and once treatment
    is removed.

3
ABAB design
  • The A-B-A-B design represents an attempt to
    measure
  • a baseline (the first A),
  • a treatment measurement (the first B),
  • the withdrawal of treatment (the second A),
  • the re-introduction of treatment (the second B).

4
The A-B-A-B design involves two parts
  • (1) gathering of baseline information, the
    application of a treatment and measurement of the
    effects this treatment and
  • (2) measurement of a return to baseline or what
    happens when the treatment is removed and then
    again applying the treatment and measuring the
    change.

5
  • ABAB design has both ethical and internal
    validity advantages over the ABA design.

6
Analytical steps include 
  • A)  Apply the statistical test to determine
    whether differences or relationships exist.
  • B)  Determine if the difference or relationship
    found is the relationship or difference
    predicted.
  • C) Determine the statistical importance of the
    difference or relationship. 
  • D)  Generalize the findings.

7
Scholarly Database Research
  • AND between concept terms yields fewer results
    than OR between terms. 

8
StatisticsANOVA represents analysis of variance.
  • Analysis of variance (ANOVA) is used to uncover
    the main and interaction effects of categorical
    independent variables (called "factors") on an
    interval dependent variable.
  • Independent variable is nominal level data
    (categories).
  • Two-way ANOVA This statistic can test for an
    interaction effect of more than one independent
    variable.

ANOVA
9
Variance
  • In probability theory and statistics, the
    variance of a random variable is a measure of its
    statistical dispersion, indicating how far from
    the expected value its values typically are.
  • The F-test is a measure of variance

10
Chi-square
  • Computed on categorical or nominal data.

11
Contingency analysis
  • Two-way chi-square, two-dimensional chi-square,
    contingency table are names for a contingency
    analysis.

12
t-test
  • The t-test tells us if the variation between two
    groups is "significant".
  • One-tailed t-test does not test for a significant
    difference in either direction.
  • t-test compares means.
  • A paired comparison t-test does not look for the
    relationship between two continuous-level
    variables.

13
is the standard deviation
14
Use the Internet or Use the Final Exam Study Guide
  • 1. What is ABA design?2. What is ABAB design?
  • 3. What are analytical steps in using a
    statistical test?
  • 4. What is an ANOVA?5. What is a Chi-square?
  • 6. What is a contingency analysis?
  • 7. What is a t-test?

Discuss
15
VariablesCombined set of variables 
  • A multiple correlation is a relationship between
    one variable and a combined set of variables.

16
Confounded variables muddy the waters
  • A researcher studied the effect of defendant
    physical attractiveness on juror decisions.
  • The attractive person was 20 years old, and the
    unattractive person was a 45-year old.
  • The problem here is that age is confounded with
    attractiveness.

17
Conceptual replication
  • A study that uses different procedures for
    manipulating and measuring variables from another
    study is called a conceptual replication. 
  • Can you think of an idea from a research study
    you read, which could be translated into a
    different design?

18
Conditions
  • A researcher studied the effect of defendant
    gender (male-female) and type of crime
    (robbery-embezzlement) on juror decisions.
  • There are four conditions in this study.

19
Main effect
  • Effect of one independent variable averaged over
    the other independent variables.
  • The main effect is the most powerful.
  • Main effect of type of crime  Participants gave
    longer sentences for embezzlement than robbery,
    irrespective of gender. This implies that there
    was a main effect of type of crime.

20
Mortality
  • Refers to the fact that participants may drop out
    of experiments.

21
Mundane realism 
  • Realistic reconstruction for experiment.
  • A study on fear of medical procedures was
    conducted in a room on campus that had been
    decorated as a doctor's office has mundane
    realism.

22
Panel study 
  • A panel study is used to study changes in survey
    responses over time.
  • Measure the same sample of respondents at
    different points in time.
  • Can reveal both net change and gross change in
    the dependent variable.
  • Can reveal shifting attitudes and patterns of
    behavior that might go unnoticed with other
    research approaches.

23
Positive linear relationship
  • Increases in the levels of one variable are
    associated with increases in the levels of a
    second variable.

24
  • 1. What is a multiple correlation?
  • 2. What is a confounded variable?
  • 3. What is conceptual replication?
  • 4. What is meant by a study with four
    conditions?
  • 5. What is a main effect?
  • 6. What is mortality?
  • 7. What is mundane realism?
  • 8. What is a panel study?
  • 9. What is a positive linear relationship?
  • Discuss

25
Range 
  • Range is the array of information.
  • You expected to find that age is related to more
    conservative political attitudes.
  • However, your study found that the two variables
    were not related.
  • Before you conclude that the two variables are
    not related, you should examine the range of
    values on your age variable.

26
Reactive Measure 
  • The test changes the behavior being measured.
  • The course final exam is designed to measure your
    knowledge of course jargon. By taking the test,
    you learn certain information, which affects your
    behavior on the measure.
  • Unobtrusive measures reduce the problem of
    reactivity.

27
Repeated measures (within-subjects)
  • The same people participate in each condition of
    an experiment.

28
Single-subject designs
  • Considered the design of choice when measuring
    behavioral change or when performing behavioral
    modification.
  • Rather than comparing groups of subjects, this
    design relies on the comparison of treatment
    effects on a single subject or group of single
    subjects.
  • Can be conducted with multiple participants.

29
Structural equation model example 
  • A researcher assessed the following variables in
    a sample of teenage males aggressive behavior,
    anger, loneliness, and perceived social support
    from family and friends.
  • In addition to examining the correlations among
    these variables, the researcher tested a proposed
    model of how these variables are related to one
    another.

30
Negative case analysis
  • Study the exception.
  • A researcher tries to explain why a particular
    observation does not fit with a theory that is
    used to explain other observations.

31
Correlation coefficient
  • Provides information about the strength of the
    relationship between variables.

32
  • 1. What is range?
  • What is a reactive measure?
  • What are repeated measures?
  • What are single-subject designs?
  • 5. What is a structural equation model?
  • 6. What is a negative case analysis?
  • 7. What is a correlation coefficient?

Discuss
33
Cronbach's alpha 
  • A tool for assessing the reliability of scales,
  • An indicator of reliability based on the
    correlations of each item in a measure with every
    other.

34
Curvilinear relationship 
  • Curvilinear relationships are those in which one
    variable is associated with another variable, but
    the relationship is described by a curve rather
    than a straight line.
  • You must have at least three levels of the
    independent variable in your experiment.

35
Demand characteristics 
  • You are concerned that participants in your study
    may be figuring out exactly what you are
    studying.
  • Knowing my influence their behavior.

36
Directional hypothesis
Directional hypothesis
  • "Nurses' communication of role expectations to
    parents will increase satisfaction with nursing
    care," is an example of a directional hypothesis.
  • A nondirectional hypothesis states that a
    relationship or difference will occur but does
    not state the direction of the relationship or
    difference.

37
Experimental realism 
  • The participants in the study became very
    involved in a computer simulation.
  • This study has experimental realism.

38
Factorial design
  • If a study has two or more independent variables,
    it is called a factorial design.
  • An independent variable is a hypothesized cause
    or influence on a dependent variable.
  • Time in instruction and pull-out predict student
    success.

39
Cohort effect
  • The particular impact of a group bonded by time
    or common life experience.
  • People of the same age, for example, may have
    certain commonalities.

40
Interaction effect
  • The differing effect of one independent variable
    on the dependent variable, depending on the
    particular level of another independent variable.
  • Example Dr. Fox studied the effect of
    attractiveness on juror decisions. Dr. Ramirez
    studied the effect of type of crime on juror
    decisions. To determine interaction effect, both
    independent variables could be studied in one
    experiment.

41
  • What is a Cronbach's alpha?
  • What is a curvilinear relationship?
  • What are demand characteristics?
  • What is a directional hypothesis?
  • What is experimental realism?
  • What is factorial design?
  • What is a cohort effect?
  • What is interaction effect?
  • Discuss

42
Protection
  • Anonymity and confidentiality are two types of
    protection given to participants. 
  • Protection for the research team is not
    paramount. 
  • Protection given to participants is crucial.
  • Beneficence is achieved when the well-being of
    research participants is protected.

43
Ceiling effect
  • When a task is so easy that the experimental
    manipulation shows little/no effect.
  • Running a pilot study is a good way to determine
    whether a ceiling effect is present. The
    dependent variable was score on a measure of
    comprehension of material.
  • Virtually everyone in all conditions of the
    experiment answered all questions correctly.
  • Researchers refer to this situation as a ceiling
    effect.

44
Avoid Deception
  • Behavioral studies must be reviewed for possible
    sources of physical and psychological stress.
  • Audiotaping and videotaping can be used in data
    collection if participants know what is to be
    recorded. 
  • Participants' knowing what is to be recorded is
    one agreement that must be secured.

45
Anxiety
  • The galvanic skin response (GSR) is a measure of
    anxiety.
  • Measures are used in public speaking apprehension
    and deceptive communication studies, for example.

46
  • Discuss anonymity and confidentiality.
  • What is a ceiling effect?
  • What is necessary regarding deception of
    subjects?
  • What is galvanic skin response?

Discuss
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