Research Methods, Week 13 notes
Research Methods, Week 13 notes Psych 305
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This 2 page Class Notes was uploaded by Clarissa Hinshaw on Sunday April 24, 2016. The Class Notes belongs to Psych 305 at Northern Illinois University taught by Keith Millis in Winter 2016. Since its upload, it has received 8 views. For similar materials see Research Methods in Psychlogy at Northern Illinois University.
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Date Created: 04/24/16
Chapter 13 Understanding Research Results: Statistical Inference Inferential Statistics: using the results to predict what would happen if the study was replicated. Null hypothesis: hypothesis stating no relationship between 2 or more variables. Research hypothesis: the hypothesis stating a relationship between 2 or more variables. If the null hypothesis is rejected, the research hypothesis is considered accepted. Statistical significance: the likelihood of the same results occurring in the general population, rather than by chance. Probability: the likelihood of something happening. The alpha level is the minimum amount of probability required to obtain significant results. Binomial distributions and sampling distributions are examples of calculating probability. Degrees of freedom: df, the sample size of a ttest. Using a 1 or 2 tailed test depends on whether a direction or difference is mentioned between the groups. Ftest: aka analysis of variance, the test used when calculating anova. Systematic variance: deviation from the mean score. Error variance: deviation of individual scores from their group means. Goals of a statistical test: o Deciding reliability o Calculate confidence interval o Results are more significant with a larger sample size. o Large effect=more significant results. Type 1 error: rejecting a true hypothesis. Ex: doing a csection on a mother who doesn’t need it. Type II error: accepting a false hypothesis. Ex: not doing a Csection when it is needed. Power: a sample size possible to reject the null hypothesis.