Exam 10: Experimental Designs
Exam 1: Introduction to Research21 Questions
Exam 2: The Scientific Approach and Alternative Approaches to Investigation24 Questions
Exam 3: Defining and Refining the Problem15 Questions
Exam 4: The Critical Literature Review13 Questions
Exam 5: Theoretical Framework and Hypothesis Development22 Questions
Exam 6: Elements of Research Design18 Questions
Exam 7: Interviews15 Questions
Exam 8: Data Collection Methods: Observation16 Questions
Exam 9: Administering Questionnaires12 Questions
Exam 10: Experimental Designs17 Questions
Exam 11: Measurement of Variables: Operational Definition18 Questions
Exam 12: Measurement: Scaling, Reliability and Validity25 Questions
Exam 13: Sampling25 Questions
Exam 14: Quantitative Data Analysis22 Questions
Exam 15: Quantitative Data Analysis: Hypothesis Testing30 Questions
Exam 16: Qualitative Data Analysis15 Questions
Exam 17: The Research Report15 Questions
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Manipulation of independent variables in order to unravel causal relationships is unacceptable from a scientific point of view.
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False
Cause-and-effect inferences can be contaminated by the effects of the passage of time.Such contamination effects are denoted history effects.
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False
An interactive testing effect occurs when the prior observation (the pretest)affects the later observation (the posttest).
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Major threats to validity in a "pretest & posttest with one experimental group only" are:
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The manipulation of the independent variable is also known as the treatment,and the results of the treatment are called treatment effects.
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External validity of lab experiments refers to the confidence we place in the cause-and-effect relationship.
(True/False)
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Biases that might affect the internal validity of experimental designs are often reduced by enhancing the level of sophistication of the experimental design.
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A field study is an experiment done in the natural environment in which work goes on as usual,but treatments are given to one or more groups.
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There is a trade-off between internal validity and external validity.If we want high internal validity,we should be willing to settle for lower external validity and vice versa.
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A key problem of time series is history: certain events or factors that have an impact on the independent variable-dependent variable relationship might unexpectedly occur while the experiment is in progress.
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Quasi-Experimental Designs expose an experimental group to a treatment and measure its effects.
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A time series design thus allows the researcher to assess the impact of a treatment over time.
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A Quasi-Experimental Design measures true cause-and-effect relationships.
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History effects (the dropout of individuals from groups)is a problem for all experimental designs.
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One way of controlling "nuisance" variables is to match the various groups by picking the confounding characteristics and deliberately spreading them across groups.
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A Quasi-Experimental Design guarantees the maximum internal and external validity,ruling out many other rival hypotheses.
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Internal validity refers to the extent of generalizability of the results of a causal study to other settings.
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