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[DOC File]CHAPTER 17: SOCIAL STATISTICS
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Statistical significance AND clinical significance. In brief, statistical significance means that there is a real relationship involved in whatever it is the researchers measured. For example, people who get counseling really are less depressed than those who do not. But, you have to ask is the difference “clinically significant”?
determining statistical significance p value

[DOCX File]faculty.montgomerycollege.edu
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The Five Steps to Determining Statistical Significance. Determine the Null and Alternative Hypotheses. Verify necessary data conditions, and if met, summarize the data into an appropriate test statistic. Assuming the null hypothesis is true find the p-value. Decide whether or not the result is statistically significant based on the p-value.
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[DOCX File]Statistical Conclusion Validity
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Inferential statistics are done to determine if the data is statistically significant. They limit the possibility that the data differences occurred by random chance or due to some unknown, uncontrolled variable. If the data is shown to be statistically significant than the data differences can be explained by changes in the independent variable.
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[DOC File]I
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Statistical conclusion validity involves your decision regarding . ... Decide on a criterion of statistical significance. Decide on a test statistic. ... The H is tested by gathering data that are relevant to the hypothesis and determining how well the data fit the H.
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Statistically Significant
Section 4.3: Determining Statistical Significance To test hypotheses, we collect data and find the p-value. The . p-value. of the sample data in a statistical test is the probability, when the null hypothesis is true, of obtaining a sample as extreme as (or more extreme than) the observed sample.
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[DOC File]Quick Tips to Identifying High Quality Research
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To do an hypothesis test at a specific alpha (significance) level, just compare the p-value on the output (labeled as a “Sig.” value on the SPSS output) to the chosen alpha level. Alternatively, you could just report the p-value, rather than reporting whether the result is …
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[DOCX File]Statistical Tests - Loudoun County Public Schools / Overview
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c. Testing the significance of a correlation coefficient. d. Calculating gamma. e. Calculating Pearson's r. ANS: C. 15. Faced with data that do not support an assumption of independence between two variables in a population, a researcher . a. Immediately rejects the assumption of independence. b.
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[DOC File]Example SPSS Output for T-Test for Difference in Means
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If employing the traditional .05 criterion of statistical significance, that would mean you should have 95% power. However, getting 95% power usually involves expenses too great for behavioral researchers -- that is, it requires getting data on many subjects. A common convention is to try to get at least enough data to have 80% power.
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[DOC File]Chapter 13
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outlier. A data point that is more than some appropriate distance from a regression line that is estimated using all the other data points in the sample. p-value. The significance level in a statistical test; the probability of getting a test statistic as extreme or more extreme than the observed value.
determining statistical significance p value

[DOC File]Simpson’s Paradox or the Danger of Aggregating Data
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There are two general types of statistical procedures typically used by researchers. Descriptive measures (e.g., mean, median, mode, frequency) are used to describe aspects of the data without inference to their statistical significance. Inferential statistics are used to test for statistical significance.
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Determining statistical significance of data