Nursing Research 2 Exam Questions And Answers

Nursing Research 2 Exam Questions And Answers How does a researcher describe a sample? Variables relevant to the sample are called demographic variables (age, gender, educational levels). Demographic variables are usually described with descriptive statistics. When a researcher uses a survey or questionnaire, how do they know it is reliable? Hint: What statistic is used, and what is considered to be a "good number"? Reliability of a survey or a questionnaire is tested using a statistical test called a Cronbach's alpha. A Cronbach alpha value greater than .80 means that the questionnaire is considered to be reliable. Note: Researchers will report Cronbach alpha values for PAST use of the survey or questionnaire (in other studies) and in the CURRENT study. Brainpower Read More Previous Play Next Rewind 10 seconds Move forward 10 seconds Unmute 0:01 / 0:15 Full screen What is the purpose of conducting an exploratory analysis? An exploratory analysis is used to examine all of the data descriptively. What is the purpose of conducting a confirmatory analysis? A confirmatory analysis is used to confirm expectations regarding data from objectives, questions, or hypotheses. Inferential statistics are used, and investigators can generalize the study findings to the appropriate accessible and target population. What are chi square and analysis of variance (ANOVA) tests used for? To identify differences among groups in a research study. What does "the level of statistical significance" mean, and what is it typically set at for nursing studies? The level of statistical significance is the probability level at which the results of a statistical analysis are judged to indicate a statistically significant difference between the groups. The level of significance for most nursing studies is 0.05. This means that is the level of significance found in the statistical analysis is 0.05 or less, the finding is considered to be statistically significant. What is 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. What is a power analysis? Power is the probability that a statistical test will detect a significant difference that exists. A power analysis can assist you to identify the sample size you will need to avoid a Type II error (or to ensure that a significant difference exists). The minimum acceptable power level is .80 What is effect size? The degree to which the phenomenon is present in the population, or the degree to which the null hypothesis is false.