Validity This!
The Research Ingredients Are?
The numbers are in
If it Changes it Just Might be
Over and Over Again
100

When people become wiser about the research design the design suffers this validity threat.

Maturation

100

The statement that contradicts what "you think the relationship between two or more variables are" is called this.

Null Hypothesis

100

Z-Scores conform to this standardized geometric shape.

The Bell Curve

100

The variable that is between the perceived cause-effect relationship is this.

Intervening Variable

100

When the researcher attempts to extrapolate the results they got from a study to the population at-large.

Generalizability

200

When the measurement design lacks accuracy it suffers this validity threat.

Instrumentation

200

Individuals, Groups, States, Countries, etc... are these for research purposes.

Units of Analysis

200

Karl Pearson's statistic to measure how closely two variables associate.

Correlation Coefficient

200

The variable before the 'causal' variable in a cause-effect relationship is this. 

Antecedent Variable

200

When a group of professionals agree that the manner in which they rate a behavior is similar.

Inter-rater Reliability

300

In longitudinal research people may opt out of the experiment and cause this validity threat.

Attrition

300

Phillip Zimbardo's research on criminal behavior at a prominent university had to be stopped because it caused psychological distress.

Stanford Prison Study

300

The percentage of the sample that falls within two standard deviations is this percentage.

95%

300

The four characteristics that must encompass a variable like 'money'. 

Categories, Rank, Numbers, and a Real Zero

300

When people have a similar perception about how they see or define their reality.

Intersubjectivity

400

The manner of sampling selection that minimizes the validity threat of 'selection'.

Probability Sampling

400

Non-Probability Sampling method that mimics a Stratified Random Sample.

Quota Sample

400

X marks the spot. The most appropriate statistic for measuring nominal level variables?

Chi-Square

400

When the variables associate but go in opposite directions when the I.V. is introduced with the D.V. it is this type of association?

Negative Relationship

400

When an experiment is created the conditions should mimic what would actually occur in the 'real world' like Dr. Milgram's Authority Study.

Mundane Realism

500

When something occurs outside the research design that influences the D.V. this validity threat is of concern. 

History

500

When variables have categories and rank but no numbers it is this Level of Measurement.

Ordinal

500

The highest point where a normally distributed group of numbers lies is this Measure of Central Tendency?

The Mean

500

The types of mistakes associated with validity.

Systematic Error

500

When conducting an experiment multiple times and getting similar results the research design has ___________. 

Reliability

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