Exam 12: Causality
Exam 1: Introduction to Making Sense of Numbers48 Questions
Exam 2: Foundational Concepts for Quantitative Research48 Questions
Exam 3: Topic and Conceptualization48 Questions
Exam 4: Measurement48 Questions
Exam 5: Context48 Questions
Exam 6: Working With Tables48 Questions
Exam 7: Working With Charts and Visualizations48 Questions
Exam 8: Comparison Values, Contrast Sizes, and Standards48 Questions
Exam 9: Numbers, Comparisons, and Calculations47 Questions
Exam 10: Distributions and Associations48 Questions
Exam 11: Bias48 Questions
Exam 12: Causality48 Questions
Exam 13: Uncertainty of Numeric Estimates47 Questions
Exam 14: Communicating Quantitative Research48 Questions
Exam 15: The Role of Research Methods in Making Sense of Numbers48 Questions
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Design an observational study on a topic of your choice. Make sure that there are at least 2 independent variables in the study. Alternatively, you may use a study you designed for the essay questions in prior chapters, if appropriate. Discuss what steps you would take to assess the internal validity of a causal relationship between the outcome and one of the independent variables. Explain the reasoning for your assessment process.
(Essay)
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What is "postmeasurement" in the context of an experimental study? Explain with an example.
(Essay)
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What does 'placebo effect' mean in the context of experimental studies?
(Multiple Choice)
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How could a longitudinal observational study ensure 'time order'?
(Multiple Choice)
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Provide an example of an experimental study. Identify the treatment and control groups of the study.
(Essay)
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What is a quasi-experiment? Explain this type of research design with an example.
(Essay)
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A study found that drivers who resided in Trenton, New Jersey, were more prone to car accidents than other drivers in the state. The study did not look at several other characteristics of the driver, such as destination, location of the accident, and, age of driver, among others. What is this type of conclusion made by the study called, and why? Explain your answer.
(Essay)
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Distinguish between random assignment and random sampling. Illustrate with an example.
(Essay)
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Consistency of association refers to an association between two variables that has been observed in several different samples, and, in different study designs.
(True/False)
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Why does an observational study have a greater risk of selection bias than an experimental study?
(Multiple Choice)
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How is an observational study different from an experimental study? Illustrate with an example.
(Essay)
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If an association between two variables is determined to be causal, which two criteria could be used to strengthen the validity of that determination?
(Multiple Choice)
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Design an experimental study on a topic of your choice, with at least two independent variables. Explain the process you would use to assess the internal validity of a causal relationship between the outcome and one of the independent variables. How does this process compare, in terms of complexity, with the process you used in question 1?
(Essay)
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A causal relationship is one where a change in the response variable causes a corresponding change in a predictor variable, keeping all other variables constant.
(True/False)
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In a study, it was found that a 1-unit change in a variable X caused a 3.2 unit change in variable Y. What is this phenomenon termed as?
(Multiple Choice)
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A sample survey of voting trends in Florida's mid-term election results would have high external validity but may have low internal validity.
(True/False)
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Once causality is established by assessing the three primary criteria for presence of the phenomenon, which two additional criteria help in strengthening the case for causality? Explain the process for applying these two criteria.
(Essay)
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Discuss the importance of ensuring internal validity in research studies. What are the implications if internal validity of a causal relationship cannot be confirmed in a research study?
(Essay)
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