 Using Statistics in Church-Based ResearchDavid Robert Dunaetz
No 3nvzq, OSF Preprints from Center for Open Science Abstract: Although the proper use of statistics is challenging for most people, including researchers, aggregated numeric data is often the strongest evidence that a researcher can present to support an idea. This is because statistics is such a powerful tool for detecting trends that can be observed in complex contexts such as churches. Church researchers need to understand two classes of statistics: descriptive statistics and inferential statistics. Descriptive statistics describe the different variables that are measured in a study and include the mean, the standard deviation, and confidence intervals. They also include correlations showing how these variables are related to each other. Inferential statistics, in contrast, are calculated to test a hypothesis and to make an inference of whether any trends observed in a sample can be expected to be true for the population from which data was collected. If the statistical evidence is so strong that we can make inferences about the population, we say that the statistics are significant. In church-based research, statistics can be used to describe people and the phenomena associated with them (such as thoughts, feelings, and behaviors), allowing us to make inferences about how they are related. From an objective point of view, these inferences are much more credible than reported personal experiences or anecdotes. Date: 2024-11-01 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:3nvzq Access Statistics for this paper More papers in OSF Preprints from Center for Open Science |
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