Research Foundations
Evaluating Research (Is that right?)
Hypothesis Testing
Relationships among Variables
Features of Experiments
Experimental Designs
100

_____ methods generate knowledge through systematic observation.

Scientific

100

In research, the word for “accuracy”

Validity

100

A testable prediction of what will happen in a study

Hypothesis

100

A relationship between two variables where, as one increases, the other decreases

Negative correlation

100

The defining feature of an experiment

Random assignment

100

An experiment where the DV is measured before and after the manipulation

Pretest–posttest design

200

According to Popper, science is distinguished from pseudoscience because scientific studies are designed to ___ hypotheses. 

Disprove

200

In research, the word for “consistency”

Reliability

200

A statement that the hypothesis is not correct

Null hypothesis

200

True or false: If two variables are positively correlated, then that means that one causes the other

False

200

In experiments, the variable that is measured

Dependent variable

200

In posttest-only design, we cannot rule out the possibility that differences between groups are due to...

Baseline differences

300

What is it called when we pay more attention to information that aligns with our initial beliefs?

Confirmation bias

300

True or false: a measure can be reliable but not valid. 

True

300

The most common p value cutoff

.05

300

In correlations, this is a variable that causes two other variables to be positively correlated

Third variable

300

In experiments, any variable besides the independent variable that could influence the dependent variable

Confounding variable

300

An experiment with 2 or more independent variables

Factorial

400

The type of research that aims to solve practical problems. 

Applied research

400

In research, the accuracy of procedures within a study

Internal validity

400

In plain English, what does it mean if we fail to reject the null hypothesis?

The hypothesis was disconfirmed/"I was wrong"

400

The 3 factors needed to infer causation are covariance, temporal precedence, and… 

Elimination of alternative explanations

400

The minimum number of groups that an experiment must have 

2

400

In a factorial design, the overall effect of one factor

Main effect

500

The type of research that addresses close-ended questions. 

Quantitative research

500

Another term for “external validity”

Generalizability

500

In hypothesis testing language, a “false negative”

Type II error

500

The research design that is used to test cause-effect relationships

Experiments

500

Name at least 2 effects that having a control group allows you to hold constant 

Possible answers: placebo effect, maturation, history effects, regression to the mean, testing effects, practice effects, fatigue effects

500

In a factorial design, it’s when the effect of one factor influences the effect of the other

Interaction

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