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Nursing Research Week 4 Practice (study)

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Nursing Research Week 4 Practice (study)

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Practice over Ch.8, Ch.9, Ch.12, & Ch.14

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Grace&Grit
Grace&Grit
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Nursing Research Week 4 Practice (study)
 

Nursing Research Week 4 Practice (study)Online version

Practice over Ch.8, Ch.9, Ch.12, & Ch.14

by Grace&Grit
1

Which of the following best describes internal validity?

2

Which design is most vulnerable to threats to internal validity?

3

A hospital implements a new fall prevention protocol in one unit but not in another. Nurses are not randomly assigned to units. What type of design is this?

4

A researcher is testing a new fatigue-reduction app for nurses. Nurses are randomly assigned to either use the app or continue their usual routine. Why is random assignment important in this study?

5

A new patient education program is implemented in one ward, and nurse satisfaction is compared to another ward that does not receive the program. Staff are not randomly assigned. What type of design is this?

6

A researcher observes how nurses communicate during patient handoffs and records behaviors without changing any policies. What type of research design is this?

7

A researcher wants to study stress in all ICU nurses in a city. Which group represents the population?

8

The researcher selects 160 ICU nurses from different hospitals in the city to participate in stress surveys. Which group represents the sample?

9

A unit implements a new hand hygiene checklist and tracks infection rates monthly to see if compliance improves. What type of initiative is this?

10

Which is a common feature of QI, research, and evidence-based practice?

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Internal validity refers to the accuracy of conclusions about cause and effect within the study.

Quasi-experimental designs lack full randomization, making them more susceptible to bias.

Randomization reduces bias by evenly distributing characteristics across groups, helping control confounding variables.

Quasi-experimental designs include an intervention but lack randomization, making causal conclusions less certain.

Non-experimental designs observe or measure variables without manipulating them.

The population includes everyone the researcher is interested in studying.

The sample is a subset of the population actually studied.

QI initiatives focus on improving processes in a specific setting, using ongoing measurement.

All three use systematic approaches to answer questions or improve outcomes, but differ in scope, rigor, and purpose.

 
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