NR449 EVIDENCE-BASED PRACTICE QUIZ 4 EXAM WITH VERIFIED ANSWERS AND CORRECT ANSWERS GRADED A+
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Course
NR449
Institution
NR449
NR449 EVIDENCE-BASED PRACTICE
QUIZ 4 EXAM WITH VERIFIED
ANSWERS AND CORRECT ANSWERS
GRADED A+
Guidelines for Conducting ALL Types of Quantitative Analysis - ANS-1. Select tests a priori
2. Run all the tests identified
3. Report all the tests that were run
Steps apply to most qualitative ...
NR449 EVIDENCE-BASED PRACTICE
QUIZ 4 EXAM 2024-2025 WITH VERIFIED
ANSWERS AND CORRECT ANSWERS
GRADED A+
Guidelines for Conducting ALL Types of Quantitative Analysis - ANS-1. Select tests a priori
2. Run all the tests identified
3. Report all the tests that were run
Steps apply to most qualitative analysis: - ANS-1. Prep data for analysis
2. Conduct the analysis for developing an in-depth understanding of the data
3. Represent the data in reduced form
4. Interpret the larger meaning of the data
Thee styles of qualitative analysis - ANS-template analysis, editing analysis, and
immersion/crystallization analysis
Units of analysis - ANS-such as a phrase, word, or document, are categorized into specific codes that
reflect overall meaning
, Goals of the Analysis - ANS-- Evaluate differences between groups (ex. control and experimental group)
- Sort data
- Aid in data reduction by grouping variables into overall classifications
Parametric tests - ANS-Statistical tests that are appropriate for data that are normally distributed (that
is, fall in a bell curve)
- Holds only when interval- or ratio- level measures are collected or when samples are large enough to
achieve normality
Nonparametric tests - ANS-Statistical tests that make no assumptions about the distribution of the data
- If normal cannot be assumed
- Distribution free: tests do not rely on specific distribution to generate accurate results
Robust tests - ANS-Statistical tests that are able to yield reliable results even if their underlying
assumptions are violated
Univariable analysis - ANS-Analysis of a single variable in descriptive statistics or a single dependent
variable in inferential analysis
- Ex. differentiating whether blood pressure is affected more by exercise in the morning or the evening
Bivariate analysis - ANS-Analysis of two variables at a time, as in correlation studies
- Ex. Determining if blood pressure is associated with sodium intake
Multivariate analysis - ANS-The simultaneous analysis of multiple variables
- Ex. Determining if blood pressure is different in the morning or evening, and is associated with sodium
intake, weight, and stress level
Interferential analysis - ANS-Statistical tests to determine if results found in a sample are representative
of a larger population
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