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36 Cards in this Set
- Front
- Back
Levels of constraint
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the degree of specificity, control, and precision a researcher has in a research setting.
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Types of Field Research (6)
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Naturalistic observation
Case studies Archival research Surveys Program evaluation Field Experiments |
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Challenge of Low-Constraint Research
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Involves observation of participants in their natural surroundings
Can be difficult to observe behavior in natural surroundings Often we are not sure what behaviors are important until we begin observations Without the controls of the laboratory, participants are free to do what they want to do, and not what we are hoping to observe |
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Naturalistic Observation
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--Involves observing the natural flow of behavior in a natural setting
No effort to control the behavior Behavior is described --A flexible strategy Allows the researcher to shift attention to behaviors that seem interesting |
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When to Use Naturalistic Observation/Low-Constraint Research
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For questions involving the natural flow of behavior
When first studying a research area When testing the feasibility of a procedure As a way of discovering contingencies When interested in a single individual To test the generalizability of laboratory findings |
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Experimenter Reactivity
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When the researcher/experimenter influences the subjects
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Measurement Reactivity
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When the subjects act different because they are being observed
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Reactive Measures
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Enhance Reactivity
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Nonreactive Measures
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Minimize reactivity
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Sampling of situation
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Individuals might act different in different situations
- Best to experiment with multiple situations (Naturalistic Observations) |
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Sampling of Behavior
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Might behave differently even in the same situation
- Best to experiment many times (Naturalistic Observations) |
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Confound results only if:
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1) Variable affects dependent v.
2) Variable varies in the 2 groups |
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Testing Research Hypothesis
Which three are we testing for? |
- The null hypothesis
- The confounding variable hypo. - The causal hypothesis |
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Types of Validity
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- Statistical
- Construct - External - Internal |
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Statistical Validity
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Are the statistical test correct? Were they correctly measured?
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Construct Validity
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Where you testing for what you were suppose to be testing for?
Or are there are explanations for your result? - bad |
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External Validity
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Can this be applied to the general population? Did you have a good sample size/random
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Internal Validity
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Did the independent responsible for changes in dependent? Is it really causal?
- Can be affected by confounding variables |
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Threats to Validity
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- Maturation
- Intrumentation Change - Selection (groups must be equal in all aspects - time of day, gender, etc.) |
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Statistical Regression
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Tendency for scores to be average on a re-take even if they do just as well.
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Attrition
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Lose of study participants
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Diffusion of Treatments
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Change in behavior due to knowledge learned from others in study
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Sequence Effects
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Test sequence may affect subsequent scores
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Testing effect
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Testing the same individual over and over again may impact their scores
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SUBJECT EFFECT
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Try to pick up on clues as to how they SHOULD respond
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Reactivity
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Change in behavior once they know they are in a study
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Demand Characteristics
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Clues actually give to participants to "Tell" them how they should act
they way the question is worded; expression on researcher's face |
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Subject Roles
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Good Subjects
Negative Subjects Apprehensive Subjects Faithful Subjects |
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Good subjects
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do what they think the researcher wants
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Bad subjects
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does the opposite of what the researcher wants
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Apprehensive subjects
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behaves in a way that is socially acceptable
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Faithful subject
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Honest
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Response sets
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Predisposition to respond a certain way, no matter what the context of the question is
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Random sampling
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Every participant has an equal chance of being sampled
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Stratified random sampling
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Random sampling within strata (subgroups)
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Ad hoc samples
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Random sample from accessible population
-Must generalize cautiously -Should describe sample to help define limits of generalization |