KEY FEATURES: Introduces students to developing research questions and shows their importance in driving research design. Rarely taught topics, such as how to enter and clean data, offer students information missed in both research methods and statistics courses. Shows how to write up survey results for academic, business and nonprofit reports to alleviate the confusion students feel about how to write up findings. Rigorous treatment of sampling focuses on many sampling issues from probability theory to weighting. Offers the process of actually conducting a survey with advice on administering surveys, incentives, and improving response rates.

How Do We Determine if a Correlation Between Two Continuous Variables Is Statistically Significant?

How Do We Determine if a Correlation Between Two Continuous Variables Is Statistically Significant?

Erin Ruel

If a correlation exists in the sample, is it due to chance? What is the likelihood that the correlation exists in the original population? This is inferential statistics (see Q80) on a bivariate analysis. The null hypothesis is that there is no correlation, and the alternative research hypothesis is that there is an association between the two continuous variables. We assess statistical association again, by comparing our findings to a test statistic that comes from the appropriate underlying distribution. In this case, it would be the normal bell curve distribution. If the association is significant, the P-value will be less than .05, in which case we reject the null ...

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