WGU C985 - Topic 1 Questions and Answers 100% Correct
ANOVA test - ANSWER-Analysis of variance test. Used when there are two or more groups to
... [Show More] compare. A group of psychiatric patients are trying three different therapies: counseling, medication and biofeedback. You want to see if one therapy is better than the others; parametric
Chi-square test - ANSWER-Determine if an association exists between two categorical variables. Compares values you observe to expected. Do men or women call out sick more to work? Variables of gender: male and female. Expected value compared to observed value
control group - ANSWER-In a healthcare environment, this group of patients do not receive the treatment that is being studied.
experimental group - ANSWER-This group of patients receive the treatment being studied, and with follow-up observation to determine the effect of the treatment.
F-test - ANSWER-designed to test if two population variances are equal. The ratio of the two variances is compared. If they are equal, the ratio of the variances will be 1.
Frequency - ANSWER-Measure's how often a particular value occurs to assess the importance of a value or check the variation of the values in a study.
Hypothesis - ANSWER-A proposed explanation for an observation that leads to a prediction. Through investigation and use of statistical data, those doing the study will either confirm or reject the hypothesis. Testing the hypothesis will show if there is a link (or not) between two or more variables.
integrity - ANSWER-Research always makes some assumptions, depending on the type of method used. Research assumptions must be identified to determine possible breaches of integrity.
Interval Data - ANSWER-includes units of equal size, such as IQ results. There is no zero point. An example of interval scale is time: Time is measured in 24hours in each day; the time between each hour is the same, 60 minutes.
Mean - ANSWER-the arithmetic average of a distribution, obtained by adding the scores and then dividing by the number of scores
Median - ANSWER-the middle score in a distribution; half the scores are above it and half are below it
Mode - ANSWER-The value that occurs most frequently in a given data set.
Multivariate Regression Analysis - ANSWER-Can be used to analyze and adjust risk. This analysis model contrasts each measured factor to the patient's risk of a particular outcome
Nominal Data - ANSWER-can be measured as a frequency or percentage, and the mean of these data cannot be calculated. Nominal data in healthcare might include demographic information about patients. The word nominal means "pertaining to a name."
ordinal data - ANSWER-The word ordinal means to "put in order." Ordinal data can be measured as a frequency, and the mean of ordinal data is often calculated. Ordinal data in healthcare might include patient satisfaction surveys using a Likert scale.
parametric tests - ANSWER-based on probability distributions. Non-parametric tests are used when data are not normally distributed.
person's correlation - ANSWER-used with interval and ordinal scale data and determines the extent to which a change in one variable tends to be associated with a change in another. Type of regression analysis
Qualitative Research Methods - ANSWER-aimed at understanding perceptions, perspectives, interpretations, and opinions. Qualitative research methods often include questionnaires, interviews, written documents, observations, and focus groups.
Reliability - ANSWER-the degree to which an assessment tool produces stable and consistent results
Validity - ANSWER-Refers to how well a test measures what it is purported to measure.
Risk Adjustment - ANSWER-Is essential for comparing data across systems, especially among patients with varying co-morbid diseases and complex treatment modalities. Multivariate regression analyses can be used to analyze and adjust risk. This analysis model looks at each measured factor to the patient's risk of a particular outcome.
sample size - ANSWER-The design of the study provides insight into an appropriate number and volume of each variable. Calculation of statistical confidence factors informs the validity testing of the study sample size. It is usually expressed as a count and often includes the total number of subjects in a study, the number of subjects in each group, and other counts (such as the number of males and females, the number within each age group, etc.). [Show Less]