LING 507 Statistical Analaysis for Linguists Spring 2013

Not pooling items or repetitions, working backwards from degrees of freedom, correlation and regression, multiple regression, measurement scales, non-parametric statistics, chi-squared

review of reporting ANOVA, requirements for presentations

By-subjects and by-items ANOVAs continued, counterbalancing factors, adding a counterbalanced group factor in the by-subjects ANOVA, random factors, Linear Mixed Effects Modeling, regression, intro. to correlation

subjects and items continued, by-subjects and by-items ANOVAs, factors in by-subjects and by-items ANOVAs

not-fully-crossed designs, smaller ANOVAs within not-fully-crossed designs, the concept of multiple items for each subject and condition

Mixed designs (examples in SPSS), splitting a factor, collapsing a between-subjects factor, collapsing a within-subjects factor, write-up

Mixed Designs, within and between subjects factors, follow-up tests, interactions, collapsing factors, splitting factors

Unequal number of subjects cont'd, balance of some data vs. no data vs. enough data, varying the order of conditions, practice effects, blocking

1-factor within subjects design cont'd, Unequal number of Subjects, Review of types of comparisons

1-factor within-subjects design, sphericity assumption, error term, AxS interaction

4-factor, 5-factor, 6-factor designs (between subjects), interactions, follow-up tests, intro to ANCOVA

3-factor design, continued (between-subjects), 3-way interactions, follow-up tests, interpreting interactions, review for midterm

3-factor between subjects design, 3-way interactions, follow-up tests

2-factor ANOVA, continued: interaction, example of SPSS output, interpreting the results, testing simple effects

2-factor ANOVA, interaction

Familywise error, correcting for familywise error, power, and introduction to 2-factor ANOVA

Statistical power continued, how to increase power, error variability, number of subjects, Type I errors, effect size

Statistical power, Effect size, how to get greater power, how to calculate effect size, power at the planning stage vs. post hoc power analysis

Planned and post hoc comparisons, pairwise and complex comparisons, continued

Violations of assumptions of ANOVA continued, comparisons (planned vs. post hoc, pairwise vs. complex)

Counfounds in experimental design, random assignment of subjects to conditions, violations of assumptions of ANOVA

How to do a 1-factor ANOVA, continued. Calculating the F ratio.

Intro. to how to do a 1-factor between subjects ANOVA