Exam 10: Evaluating Analysis and Results Sections: Quantitative Research
Exam 1: Background for Evaluating Research Reports8 Questions
Exam 2: Evaluating Titles8 Questions
Exam 3: Evaluating Abstracts5 Questions
Exam 4: Evaluating Introductions and Literature Reviews7 Questions
Exam 5: A Closer Look at Evaluating Literature Reviews9 Questions
Exam 6: Evaluating Samples When Researchers Generalize19 Questions
Exam 7: Evaluating Samples When Researchers Do Not Generalize6 Questions
Exam 8: Evaluating Measures15 Questions
Exam 9: Evaluating Experimental Procedures19 Questions
Exam 10: Evaluating Analysis and Results Sections: Quantitative Research8 Questions
Exam 11: Evaluating Analysis and Results Sections: Qualitative Research10 Questions
Exam 12: Evaluating Analysis and Results Sections: Mixed Methods Research12 Questions
Exam 13: Evaluating Discussion Sections7 Questions
Exam 14: Evaluating Systematic Reviews and Meta-Analyses: Towards Evidence-Based Practice13 Questions
Exam 15: Putting It All Together4 Questions
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What is an important rule about the reporting of statistically significant differences?
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Why is it important to present descriptive statistics before inferential statistics in a research report?
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What is the main reason that the raw numbers of cases should be reported along with the percentages?
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For skewed distributions, which measure of central tendency is usually the best alternative to the mean?
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The text highlights that, when percentages are reported in the Results section, what else is it important to report?
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What is the best way to write a Results section in a research report?
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All of the following statements correctly reflect the best practices for reporting quantitative results, EXCEPT:
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