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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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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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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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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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Quasi-Experimental Designs expose an experimental group to a treatment and measure its effects.

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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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Manipulation of independent variables in order to unravel causal relationships is unacceptable from a scientific point of view.

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An interactive testing effect occurs when the prior observation (the pretest)affects the later observation (the posttest).

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External validity of lab experiments refers to the confidence we place in the cause-and-effect relationship.

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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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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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History effects (the dropout of individuals from groups)is a problem for all experimental designs.

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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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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 measures true cause-and-effect relationships.

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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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Major threats to validity in a "pretest & posttest with one experimental group only" are:


A) History,maturation,main testing,interactive testing,mortality.
B) Statistical regression,maturation,main testing,interactive testing,mortality.
C) Statistical regression,instrumentation,main testing,interactive testing,mortality.
D) History,instrumentation,main testing,interactive testing,mortality.

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