Statistical tests Pearsons product moment correlation r A negative inverse

# Statistical tests pearsons product moment correlation

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Statistical tests: Pearson’s product moment correlation (r): A negative (inverse) relationship (the result will be close to -1) A positive relationship (the result will be close to +1) No relationship. (the result will be close to 0) CAUSALITY: chi-square To identify differences among groups in a research study. Determines if variables are independent or related CAUSALITY : t-Test: the result of analysis CAUSALITY: ANOVAs : To identify differences among groups in a research study. parameter statistical technique conducted to examine differences between groups of three or more CAUSALITY: ANCOVAs: factor analysis : Factor analysis examines interrelationships among a large number of variables and disentangles those relationships to identify clusters of variables that are most closely linked. It can aid in the identification of theoretical concepts or be useful in the development of a new questionnaire Probability theory: It is used to explain the extent of a relationship, the probability that an event will occur in a given situation, , or the probability that an event can be accurately predicted. levels of significance: The alpha, or level of statistical significance for most nursing studies is 0.05. This is the probability level at which the results of the statistical analysis are judged to indicate a statistically ©2019 UTA College of Nursing and Health Innovation 1
significant difference between the groups. If the p value is less than or equal to 0.05, then the result is considered to be statistically significant. Decision theory requires that this cutoff point be absolute. inference Inferential statistics are designed to address objectives, questions, and hypotheses in studies to allow inference from the study sample to the target population. They help us to: identify relationships examine predictions determine differences among groups Generalization: the application of information that has been acquired from a specific instance to a general situation. Generalization extends the implications of the findings from the sample studied to a larger population. Significant the findings make an important difference in people's lives you can generalize the results far beyond the study's population / it affects large numbers of people it generates more research it contributes to theory development / becomes a theory it has implications for other disciplines besides nursing it is frequently referred to in the literature : non-significant: Type II errors, flaws in research methods unexpected results: relationships found between variable that were not predicted from the studies framework; used to modify existing theory clinical importance: Clinical importance is the practical relevance of the findings. There is no common agreement about how to evaluate the clinical importance of a finding.