Construct or Variable?
Validity
Variable Relationships
Research Methods
More Variable Relationships
100

Age, years of education, high school graduate status, and scores on a test, for examples

Variables

100

Validity (n.) 

The extent to which conclusions based on a variable, construct, or study are this.  

Accurate

100

In studies of cause and effect, the proposed cause would be considered this variable.

Independent

100

This type of research design includes random assignment of participants, manipulation of variables, and a control group. 

Experimental 

100

This is the name for an uncontrolled third-variable operating within a study, intertwined with the controlled variables, making it impossible to distinguish which variable is truly operating in the situation. 

Confounding Variable

200

Personality traits, self-esteem, emotions, mental health, for example. 

Constructs

200

This is the extent to which the operational definition of a construct can accurately capture the theoretical variable of interest. 

Construct Validity

200

In a study, any behavior, thought, feeling, situation, characteristic, or event that changes and can be measured. 

Variable

200

In this type of research, causal attributions are not made about any observations. 

Non-experimental

200

This occurs when when all extraneous variables are controlled by being held constant, eliminating confounding variables.

Experimental control

300

By observing these, researchers can help predict behaviors. 

Constructs

300

This is the extent to which a study can draw conclusions about cause and effect, or that any changes in one variable cause changes in another, and increases with increased control in a study. 

Internal Validity

300

A  term used to describe the procedure in non-experimental research wherein covariation is observed between variables. 

Correlational Method

300

These types of studies are structured like experiments, but they lack some of the control that true experiments have in that they lack manipulation by the experimenter or random assignment to conditions. 

Quasi-experimental 

300

This is done to ensure that an extraneous variable is just as likely to affect one experimental group as it is to affect the other group. 

Randomization

400

By directly measuring these, researchers can record different values for different participants or observations. 

Variables

400

As the study setting becomes more realistic, this  increases; the extent to which observations made in a study generalize beyond that specific study. 

External Validity

400

When determining the direction of cause and effect becomes a challenge in a study, so does establishing this important aspect of causal inferences. 

Temporal precedence

400

This type of study tends to have limited internal validity but high external validity, due to its more likely reflection of the "real world." 

Nonexperimental

400

Nonexperimental variables that can not be manipulated, only measured, including; age, gender, and ethnicity. 

Participant variables

500

This describes the variable or construct, including a list of how the observations will be measured. 

Operational definition

500

This refers to the accuracy of the statistical conclusions drawn from statistical analysis or a research study. 

Statistical Validity

500

When an extraneous variable may propose an alternative explanation between two observed variables, this is known as this problem.  

Third-variable

500

In this experiment, the independent variable is manipulated in a natural setting, though the researcher loses control of many aspects of the situation. 

Field

500

This is the correlating relationship in this scenario;

Increased partying behavior is associated with lower grades. 

Negative