Statistics for Social Sciences Exam 4 Review

These flashcards cover key concepts related to statistics for social sciences, including significance testing, correlation, non-parametric statistics, reliability, and validity.

Significance Testing

The process used to determine if the results of a study are statistically significant.

Correlation Coefficient (r)

A measure that indicates the extent to which two variables fluctuate together.

Coefficient of Determination

The square of the correlation coefficient, representing the proportion of variance explained by the correlation.

Correlation vs Causation

Correlation does not imply causation; just because two variables correlate does not mean one causes the other.

SPSS

Statistical Package for the Social Sciences, software used for statistical analysis.

Non-Parametric Tests

Statistical tests that do not assume a normal distribution of the data.

Chi-square Test

A test used to determine if there is a significant association between categorical variables.

Reliability

The degree to which an assessment tool produces stable and consistent results.

Validity

The extent to which a tool measures what it is intended to measure.

Degrees of Freedom (df)

The number of independent values or quantities which can be assigned to a statistical distribution.

Factor Analysis

A statistical method used to identify underlying relationships between variables.