What is the relationship between moderators and external validity? Moderators suggest that associations may be spurious. Moderators suggest that associations may not generalize to all subgroups of people. Moderators are necessary for external validity to be established. Show
What is the relationship between internal validity and external validity quizlet?The essential difference between internal and external validity is that internal validity refers to the structure of a study and its variables while external validity relates to how universal the results are. Do moderators inform external validity?What do you ask to assess external validity? -moderators can inform external validity–it allows us to see how the association may not generalize from one situation to the next. moderator (variable) when the relationship between two variables changes on the level of this other variable. Why are curvilinear relationships hard to detect with correlation coefficients R?Why are curvilinear relationships hard to detect with correlation coefficients (r)? r always looks for the best straight line to fit the data. Which of the following is true of statistical significance testing? It can lead to an incorrect conclusion about the population. Which popular press headline does not suggest that a multiple regression has been used?Terms in this set (10) Which popular media headline does NOT suggest that a multiple regression has been used? “Dog ownership decreases stress.“ What are the 5 types of variables?
How do you calculate mediating variables?If the change in the level of the independent variable significantly accounts for variation in the other variable, then the variable is considered a mediator variable. What is the relationship between internal validity and external validity?Internal and external validity are concepts that reflect whether or not the results of a study are trustworthy and meaningful. While internal validity relates to how well a study is conducted (its structure), external validity relates to how applicable the findings are to the real world. Why is internal validity more important than external validity?Internal validity ascertains the strength of the research methods and design. Conversely, external validity examines the generality of the research outcomes to the real world. Internal Validity determines the extent to which the conclusion is warranted. What are threats to external validity?There are seven threats to external validity: selection bias, history, experimenter effect, Hawthorne effect, testing effect, aptitude-treatment and situation effect. Which of the following is a threat to internal validity?What are threats to internal validity? There are eight threats to internal validity: history, maturation, instrumentation, testing, selection bias, regression to the mean, social interaction and attrition. Why do studies that use probability samples have excellent external validity?Why do studies that use probability samples have excellent external validity? All members of the population are equally likely to be represented in the sample. Which of the following is true of the relationships between effect size and statistical significance?Which of the following is true of the relationship between effect size and statistical significance? Larger effect sizes are advantageous for statistical significance. Statistical significance alone is sufficient to indicate effect size. An association’s effect size has no effect on statistical significance. Why are double barreled questions problematic quizlet?Why are double-barreled questions problematic? They may have poor internal reliability. They are leading questions. They may have poor construct validity. When determining mediation how many steps are necessary group of answer choices?Understand the 6 steps necessary in the mediation process. What are the two main reasons to conduct a factorial study?What are two reasons to conduct a factorial study? –They test whether an IV effects different kinds of people, or people in different situations in the same way. -Does the effect of the original independent variable depend on the level of another independent variable?
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Why are curvilinear relationships hard to detect with correlation coefficients r )? Group of answer choices?
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