Evidence & Articles
Variables & Measurement
Descriptive Statistics
Trustworthy Data
Hypotheses, Significance, & Power
100

This term describes practice that integrates the best research evidence, clinical expertise, and patient preferences.

What is evidence-based practice?

100

This term describes an entire group that a researcher is interested in, such as all adult patients with heart failure on a unit.

What is the population?

100

This measure of central tendency is the arithmetic average of a set of scores.

What is the mean?

100

This concept asks whether an instrument actually measures what it is intended to measure.

What is validity?

100

This hypothesis states that there is no relationship or difference between variables in a study.

What is the null hypothesis?

200

This hierarchy is used in EBP to show which types of research provide the strongest evidence.

What is the evidence pyramid?

200

This type of variable is manipulated or categorized to see its effect on another variable in a study.

What is the independent variable?

200

This statistic describes how spread out scores are around the mean and is often reported with the mean.

What is the standard deviation?

200

This form of validity asks whether the instrument adequately covers all aspects of the concept being measured.

What is content validity?

200

When the p value is less than the chosen alpha level, researchers usually do this to the null hypothesis.

What is reject the null hypothesis?

300

These are the five typical sections of a quantitative research article: Abstract, Introduction, Methods, Results, and this final section.

What is the Discussion or Conclusion?

300

This level of measurement labels categories without any inherent order (for example, male/female, blood type).

What is nominal level of measurement?

300

This is a table or graph that shows how many times each score or value occurs in a data set.

What is a frequency distribution?

300

This type of reliability reflects the stability of test scores over time when a measure is repeated with the same participants.

What is stability (test–retest reliability)?

300

This term describes the probability of making a type I error; in nursing research it is often set at 0.05.

What is alpha (the significance level)?

400

This part of a study provides the underlying concepts or theories that guide the research and is not always explicitly included in a journal article.

What is the theoretical framework?

400

Height in centimeters or weight in kilograms are examples of this highest level of measurement, which has a true zero point.

What is ratio level of measurement?

400

In a perfectly normal distribution, this is the relationship among the mean, median, and mode.

What is they are all equal (at the center of the distribution)?

400

When multiple observers independently rate the same behavior and achieve at least 0.90 agreement, this type of reliability has been demonstrated.

What is inter-rater reliability?

400

This term describes the probability that a study will detect a true effect if one exists and is influenced by sample size, effect size, and alpha.

What is power?

500

These are written directions for how care will be provided in a specific situation; they are often developed by expert panels and are more detailed and prescriptive than guidelines.

What are protocols?

500

Data coded as “strongly disagree” to “strongly agree” on a Likert scale represent this level of measurement.

What is ordinal level of measurement?

500

Statistics that describe the sample, like mean and standard deviation, differ from this type of statistics, which allows researchers to make predictions or draw conclusions about the population.

What are inferential statistics?

500

These unwanted variables can influence the relationship between independent and dependent variables and must be controlled to obtain trustworthy data.

 What are extraneous variables?

500

This concept addresses whether a statistically significant result is large or meaningful enough to matter in patient care.

What is clinical significance?