Exam 7: Making Sense of Statistical Significance: Effect Size and Statistical Power
Exam 1: Displaying the Order in a Group of Numbers Using Tables and Graphs72 Questions
Exam 2: The Mean, Variance, Standard Deviation, and Z Scores84 Questions
Exam 3: Correlation and Prediction96 Questions
Exam 4: Some Key Ingredients for Inferential Statistics: the Normal Curve, Sample Versus Population, and Probability71 Questions
Exam 5: Introduction to Hypothesis Testing99 Questions
Exam 6: Hypothesis Tests With Means of Samples77 Questions
Exam 7: Making Sense of Statistical Significance: Effect Size and Statistical Power73 Questions
Exam 8: Introduction to the T Test: Single Sample and Dependent Means115 Questions
Exam 9: The T Test for Independent Means85 Questions
Exam 10: Introduction to the Analysis of Variance131 Questions
Exam 11: Chi-Square Tests and Strategies When Population Distributions Are Not Normal124 Questions
Exam 12: Applying Statistical Methods in Your Own Research Project52 Questions
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Reviews of a collection of studies on a particular topic that use meta-analyses represent an alternative to traditional __________ articles. These traditional articles describe and evaluate each study and then attempt to draw some overall conclusion.
(Multiple Choice)
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The __________ of a study is the difference in the population means divided by the population SD.
(Short Answer)
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In order to convert a raw score effect size to a standardized effect size, one should:
(Essay)
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What effect will using a one-tailed test over a two-tailed test have on power (presuming the true population difference is in the expected direction)?
(Multiple Choice)
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The effect size of a study is a good indicator of its practical importance because, unlike statistical significance, it is not affected by __________.
(Essay)
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What is the most likely explanation for why a study with a very small effect size came out significant?
(Multiple Choice)
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According to Cohen's conventions, for research that compares means, a large effect size in which only about 53% of the populations of individuals overlap would be:
(Multiple Choice)
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Jacob Cohen introduced to behavioral and social scientists some very important statistical tools that included all of the following EXCEPT:
(Multiple Choice)
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Which of the following is NOT a correct statement about effect size of a study finding:
(Multiple Choice)
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In a research study with an effect size of .20, the populations of individuals have an overlap of about:
(Multiple Choice)
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Effect size is an important tool for making sense of research results because:
(Multiple Choice)
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Effect size is one of the two major factors that contribute to power. Another factor is:
(Multiple Choice)
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Aside from sample size, other influences on statistical power include __________ , __________ , and __________.
(Essay)
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Some IQ tests have a standard deviation of 16 points. If an experimental procedure produced an increase of 3.2 IQ points, the effect size would represent a __________ effect size.
(Multiple Choice)
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In the situation where the null hypothesis is true, the population distribution from which the sample was taken is:
(Multiple Choice)
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If a study with only a few participants manages to be statistically significant, it probably had:
(Multiple Choice)
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A researcher would use a __________ to combine results of several different studies, based on their effect sizes.
(Short Answer)
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