Research methods
The effect of one factor within a level of another factor
When each level of an independent variable effects the dependent variable differently
Differences on the dependent variable across the levels of one
The probability that the experimenter made a type 1 error in at least one of the comparisons
Complex comparisons where more than two means are compared at the same time
Means comparisons that take into account experiment-wise alpha
Which means differ significantly from one another
When one condition mean is compared with another condition mean
Some factors are between subjects and some are within subjects
Conclusions are incorrect because a type I or II error was made
The measured variables do not relate to the conceptual variables
The dependent variable was changed by a confounding variable
The observed effects can be found only under very limited conditions
Conclusions are incorrect because a type I or II error was made
The measured variables do not relate to the conceptual variables
The dependent variable was changed by a confounding variable
The observed effects can be found only under very limited conditions
Conclusions are incorrect because a type I or II error was made
The measured variables do not relate to the conceptual variables
The dependent variable was changed by a confounding variable
The observed effects can be found only under very limited conditions
Conclusions are incorrect because a type I or II error was made
The measured variables do not relate to the conceptual variables
The dependent variable was changed by a confounding variable
The observed effects can be found only under very limited conditions
Random error may increase the likelihood of a type II error may reduce power
Systematic error, which provides an alternative explanation for the results
The extent to which the manipulation involves the participants in the research
When expectations effect the dependent variable
When participants guess the research hypothesis, to eliminate this cover stories, unrelated experiments, and nonreactive measures can be used
The experimenter may treat subjects differently because they know what condition they’re in, to avoid this naive or blind experimenters can be used
The extent to which results can be generalized outside the experimental conditions
The extent to which the research is conducted in situations that are similar to everyday life
When a study creates the hoped-for changes
Repeating the experiment exactly how it was previously done
Comparing a new population to the original population
Testing the same conceptual variable, but with a different operational definition
Adding new conditions to an experiment to rule out alternative explanations
Repeating the experiment exactly how it was previously done
Comparing a new population to the original population
Testing the same conceptual variable, but with a different operational definition
Adding new conditions to an experiment to rule out alternative explanations
Repeating the experiment exactly how it was previously done
Comparing a new population to the original population
Testing the same conceptual variable, but with a different operational definition
Adding new conditions to an experiment to rule out alternative explanations
Repeating the experiment exactly how it was previously done
Comparing a new population to the original population
Testing the same conceptual variable, but with a different operational definition
Adding new conditions to an experiment to rule out alternative explanations
Cannot be sure that the program and the control group are equivalent
Unable to control for all threats to internal validity
All of the above
Changes in the research participants over time
People who stay with the program may be different than those who drop out
Changes in the social climate over time
Measuring changes in a single person
Grouping based on preexisting characteristics (e.g sex)
The dependent variable is assessed regularly both before and after the intervention
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