Research Basics
Pick the statistical test
Correlation and Prediction
Validity and Sampling
Threats to validity
100

This variable is manipulated by the researcher to determine its effect on another variable

Independent Variable

100

You want to compare weight before and after a diet program in the same group

What is a paired t-test

100

This statistic measures the strength and direction of a relationship between two continuous variables

What is Pearson's Correlation (r)

100

This validity asks, "Does this test appear to measure what it should measure?"

What is face validity

100

Participants drop out of some groups more than others

What is attrition

200

This hypothesis assumes there is no relationship, difference, or effect between variables

Null Hyopthesis

200

You want to compare males and females on weight loss outcomes

What is independent t-test

200

This non-parametic correlation test is used with ranked or ordinal data

What is Spearman's rho

200

This validity is demonstrated when a measure strongly correlates with another tool measuring the same construct

What is convergent validity

200

Natural changes over time influence outcomes rather than the intervention

What is maturation

300

This statistical value tells the researcher how likely their results occured by chance

p-value
300

A PT compares shoulder ROM outcomes among manual therapy, exercise, and ultrasound groups

What is a one-way ANOVA

300

Researchers found that a predictor variable had p = .03. What is the probability that the finding occurred due to chance?

What is 3%

300

This validity shows that a measure is not measuring a different construct

What is discriminant validity

300
Outside events occur during the study, influencing the results

What is history

400

Participants are selected based on convenience rather than random selection

What is non-probability sampling

400

The same participants are measured at baseline, 4 weeks, and 8 weeks

What is a repeated-measures ANOVA
400

This statistic tells the researchers the strength and direction of a relationship between two variables

What is a correlation coefficient

400

In this sampling method, every member of the population has a known chance of selection

What is probability sampling

400

The control group works extra hard because they know they are not receiving the experimental treatment

What is compensatory rivalry
500

A researcher finds no difference bewteen two treatment groups when a true difference actually exists is what error type?

What is Type II error

500

You are comparing pain and function scores across three rehabilitation programs while controlling for baseline pain

What is MANCOVA

500
How would you describe this correlation r = -.93

What is an excellent negative correlation

500

The same PT measures knee extension strength on the same patient multiple times and obtains nearly identical results.

What is intra-rater reliability

500

The control group receives extra services to make up for not getting the experimental treatment

What is compensatory equalization