Exam 15: The Role of Research Methods in Making Sense of Numbers

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Refer to the research article you used in Question 1. Discuss the usage of the four dimensions to determine overall importance of results in the article. Were all the four dimensions satisfied in the study? Explain your answer.

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Question 41

In inferential statistics, the researcher would like the p value to be as large as possible.

(True/False)

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Question 42

What criteria is used to assess the practical importance of a research result?

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Question 43

What does a p value measure?

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Question 44

Which of the following cannot be confirmed by a statistical significance test?

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Question 45

Depending on whether the study is cross-sectional, prospective, or retrospective, what factor should be kept in mind for the task of collecting data?

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Question 46

The R² value of association between dependent variable A and independent variable B was found to be 0.61, with a p value of .0001 at the 95% confidence level. It can be concluded that variable B has a causal effect on variable

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Question 47

With the help of an example, explain what is nonspuriousness of an association between two variables.

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Question 48

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Refer to the research article you used in Question 1. Discuss the usage of the four dimensions to determine overall importance of results in the article. Were all the four dimensions satisfied in the study? Explain your answer.

In inferential statistics, the researcher would like the p value to be as large as possible.

What criteria is used to assess the practical importance of a research result?

What does a p value measure?

Which of the following cannot be confirmed by a statistical significance test?

Depending on whether the study is cross-sectional, prospective, or retrospective, what factor should be kept in mind for the task of collecting data?

The R² value of association between dependent variable A and independent variable B was found to be 0.61, with a p value of .0001 at the 95% confidence level. It can be concluded that variable B has a causal effect on variable

With the help of an example, explain what is nonspuriousness of an association between two variables.

Introduction to Making Sense of Numbers

Foundational Concepts for Quantitative Research

Topic and Conceptualization

Measurement

Context

Working With Tables

Working With Charts and Visualizations

Comparison Values, Contrast Sizes, and Standards

Numbers, Comparisons, and Calculations

Distributions and Associations

Bias

Causality

Uncertainty of Numeric Estimates

Communicating Quantitative Research

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Exam 15: The Role of Research Methods in Making Sense of Numbers

Refer to the research article you used in Question 1. Discuss the usage of the four dimensions to determine overall importance of results in the article. Were all the four dimensions satisfied in the study? Explain your answer.

In inferential statistics, the researcher would like the p value to be as large as possible.

What criteria is used to assess the practical importance of a research result?

What does a p value measure?

Which of the following cannot be confirmed by a statistical significance test?

Depending on whether the study is cross-sectional, prospective, or retrospective, what factor should be kept in mind for the task of collecting data?

The R2 value of association between dependent variable A and independent variable B was found to be 0.61, with a p value of .0001 at the 95% confidence level. It can be concluded that variable B has a causal effect on variable

With the help of an example, explain what is nonspuriousness of an association between two variables.

Introduction to Making Sense of Numbers

Foundational Concepts for Quantitative Research

Topic and Conceptualization

Measurement

Context

Working With Tables

Working With Charts and Visualizations

Comparison Values, Contrast Sizes, and Standards

Numbers, Comparisons, and Calculations

Distributions and Associations

Bias

Causality

Uncertainty of Numeric Estimates

Communicating Quantitative Research

Filters

The R² value of association between dependent variable A and independent variable B was found to be 0.61, with a p value of .0001 at the 95% confidence level. It can be concluded that variable B has a causal effect on variable