The 'Psychology Research Methods Exam 1' assesses knowledge on variables, measurement levels, error types, validity, and operational definitions within psychology research. It is essential for understanding experimental design and data analysis in psychological studies.
Numerical value assigned to an observation.
Single number that allows one to summarize, analyze, or evaluate a group of observations.
Label assigned to an observation.
Property of an event that can assume any of a range of values.
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Interval
Ordinal
Ratio
Nominal
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Chance
The amount of time between measurements
Systematic error
Confounding
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Lacking in the Rorschach test
More of a public relations question than a scientific one
Unrelated to a test's actual validity
All of the above
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Validity
Internal validity
Internal consistency
Test-retest reliability
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Rationalism
A scientific technique
Converging operations
An operational definition
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A person scores extremely low on one test scores closer to the mean at a second testing
Scores on two measures are not perfectly correlated
Subjects are selected because they scored extremely high on a pretest measure
A and c
All of the above
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History
Testing
Selection
Maturation
Mortality
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Valid, internally consistent
Valid, reliable
Reliable, valid
A and b
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Consistent
Content
External
Convergent
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Systematic replication
Direct replication
Random assignment of subjects to conditions
Random selection of subjects from the population of interest
B and d
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Statistical conclusion validity
Internal validity
Construct validity
Type I error
Type II error
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Balanced Latin square
Latin square
Counterbalancing
Matching
Subjects as own control
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Extraneous variable
Between-subjects variable
Within-subjects variable
Dependent variable
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Repeated measures variable
Between-subjects variable
Within-subjects variable
Dependent variable
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Including only those subjects who are 30 years old
Randomly assigning subjects of all ages to the treatment and control conditions
Not asking subjects how old they are
A and b
B and c
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Signaling cues
Performance indicators
Demand characteristics
Measurement expectancies
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Power
Criterion validity
Internal validity
Content validity
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Power of the independent variable to affect the dependent variable
Realism
External validity
B and c
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Guide new research
To explain laws
To organize knowledge
To describe behavior
To predict new laws
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The probability of finding a significant difference when a difference does not exist in the population
The probability of committing a Type II error
The probability of finding a significant difference when a difference exists in the population
The probability that a statistical test will account for unexplained variability
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Pretesting may increase demand characteristics.
Members of each pair cannot be randomly assigned to conditions.
Power is often increased.
Causal conclusions cannot be drawn.
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Experimental variables
Organismic variables
Control variables
Subject variables
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Y-axis
Independent variable values
X-axis
Horizontal
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Rank-order distribution
Histogram
Cumulative frequency distribution
Ungrouped frequency distribution
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Chi-square
Analysis of variance
Correlation coefficient
T-test
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Dependent variable is a discrete variable
Independent variable is a discrete variable
Dependent variable is a continuous variable
Independent variable is a continuous variable
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Generally preferred because it is easier to achieve control.
The only way to achieve satisfactory experimental control.
Required by government funding agencies.
Better because participants expect formal settings.
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A within-subjects condition is not possible.
There are likely to be sequence effects.
Experiencing one condition is unlikely to influence the response to another.
Using statistical control is impossible.
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To control for order effects
To control for sequence effects
To reduce initial differences between the experimental and control groups on the dependent variable
To reduce the amount of variability among subjects within each treatment group
B and d
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Generally preferable to experimental control.
A way of equating subjects on paper that are actually not equal.
The same as randomization.
All of the above
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Building nuisance variables into the experiment.
Using subjects as their own control.
Using statistical controls.
Making designs more complex.
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True experiments
Randomization
Assignment of subjects to conditions
Subject variables
All of the above
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Lacks internal validity
Lacks statistical validity
Lacks ecological validity
Cannot be published
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Regression effect
Subject selection
Testing effect
Maturation
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Random error
History (events outside the laboratory)
Regression
Morality
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Subject bias
Selection bias
Experimenter bias
Evaluation bias
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Logic
Intuition
Authority
Science
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Law, theory
Parsimonious, excessive
Technology, science
Science, technology
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Are regularly associated with each other.
Occur regularly.
Are caused by preceding events.
Explain one or more events.
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Predicts new laws
Explains existing laws
Guides research
Agrees with common sense
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Law
Paradigm
Theory
Hypothesis
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Quantitative
Categorical
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Ratio
Interval
Nominal
Ordinal
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