From the course: Academic Research Foundations: Quantitative

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Understand research significance

Understand research significance - SPSS Statistics Tutorial

From the course: Academic Research Foundations: Quantitative

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Understand research significance

- Immediately after you run your statistical analysis, you'll look to see if your findings are statistically significant. Statistical significance is at the heart of a quantitative research study, but what does it mean for your study to be statistically significant? How we define statistical significance after running data becomes very specific, so it's important to have both a technical understanding of what the term means for your specific results, but also a practical meaning for what the term means for a research study. A result is statistically significant if the data analysis shows a low probability of the outcome being left to chance. Statistics are about probability. The existence of variables and external factors, such as sample population, means your results will not offer complete certainty in answering your research question. We measure probability as a numeric percentage, so .20 would be 20%. Low probability is ideal. We want to know how likely it is that your results…

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