Page 236 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

Glossary

Alpha: The probability of a Type I error. It represents the threshold
for claiming statistical significance.

Alternative hypothesis: The hypothesis that the researcher expects
to support.

ANCOVA: Same as ANOVA, but adds control of one or more
covariates that may influence the DV.

ANOVA: Tests the significance of group differences between two or
more groups.

Bar graph: A graph that uses vertical bars to represent the data

Box-plot: Summary plot based on the median, quartiles, and
extreme values. The box represents the inter-quartile range which
contains the 50% of values.

Categorical Variables: variables such as gender with limited values.
They can be further categorized into NOMINAL (naming variables
where one category is no better than another e.g. hair color) and
ORDINAL, (where there is some order to the categories e.g. 1st, 2nd,
3rd etc).

Chi-Square: Compares observed frequencies to expected
frequencies.

The Theory and Applications of Statistical Inferences 220