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.
Quantitative
Categorical
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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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Logic
Intuition
Authority
Science
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Predicts new laws
Explains existing laws
Guides research
Agrees with common sense
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Power
Criterion validity
Internal validity
Content validity
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Lacks internal validity
Lacks statistical validity
Lacks ecological validity
Cannot be published
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Quantitative
Categorical
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Experimental variables
Organismic variables
Control variables
Subject variables
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Ratio
Interval
Nominal
Ordinal
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Balanced Latin square
Latin square
Counterbalancing
Matching
Subjects as own control
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Chi-square
Analysis of variance
Correlation coefficient
T-test
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Chance
The amount of time between measurements
Systematic error
Confounding
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Law
Paradigm
Theory
Hypothesis
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Rationalism
A scientific technique
Converging operations
An operational definition
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Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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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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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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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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The management of a company counts the number of employees in each division.
Consumers rate the pleasant taste of foods on a scale of 1-9.
Employees of a company are classified as management or line workers.
Companies are ranked according to their amount of sales.
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Interval
Ordinal
Ratio
Nominal
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Power of the independent variable to affect the dependent variable
Realism
External validity
B and c
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Frequency histogram
Scatterplot
Bar graph
Line graph
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Subject bias
Selection bias
Experimenter bias
Evaluation bias
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Rank-order distribution
Histogram
Cumulative frequency distribution
Ungrouped frequency distribution
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A researcher records how many seconds it takes a rate to react to a shock.
A teacher records the number of absences for each student during the semester.
A nurse records a patients temperature in Celsius.
A researcher records the amount of light it takes to detect a small visual stimulus in a dark room.
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Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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Sequence effects are minimized
Power is generally higher than in a between-subjects design
Subjects' suspicions about the purpose of the experiment are generally minimized
Order effects are minimized
A and d
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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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Signaling cues
Performance indicators
Demand characteristics
Measurement expectancies
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Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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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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Valid, internally consistent
Valid, reliable
Reliable, valid
A and b
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Nominal
Ordinal
Interval
Ratio
Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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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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Law, theory
Parsimonious, excessive
Technology, science
Science, technology
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Validity
Internal validity
Internal consistency
Test-retest reliability
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Consistent
Content
External
Convergent
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Statistical conclusion validity
Internal validity
Construct validity
Type I error
Type II error
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Repeated measures variable
Between-subjects variable
Within-subjects variable
Dependent variable
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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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Building nuisance variables into the experiment.
Using subjects as their own control.
Using statistical controls.
Making designs more complex.
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Regression effect
Subject selection
Testing effect
Maturation
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Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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Content validity
Criterion validity
Construct validity
Test-retest reliability
Internal consistency reliability
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History
Testing
Selection
Maturation
Mortality
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