Advanced Statistics for the Social Sciences with SPSS
This course was designed* specifically for graduate social science students taking advanced statistics courses, and for students working on their quantitative dissertations/theses by a Quantitative Learning Specialist with over 20 years experience and over 1000 successful dissertation defenses.
*Designed for non-math majors. Students don't have to be mathematicians to become experts at advanced statistics.
This is a one-of-a-kind online resource with over 100 video tutorials for advanced statistics students and/or dissertation/thesis students to support their understanding of statistical analyses and competencies.
Topics include:
Introductory Statistics
- Graphic representations
- Measures of central tendencies
- Normal distributions
- z scores and p-values
- Sampling distributions
- Confidence intervals
- Tests of significance - the basics
- Excel and SPSS tips and tricks, and other critical basic statistical concepts
Comparing group means - looking for significant differences between group means
- t tests (one-sample, independent, paired)
- ANOVAs (one-way, two-way, factorial, between group, within group, repeated measures, mixed, nested-design)
- MANOVAs
- ANCOVAs
- MANCOVAs
Measuring Relationships (strength and direction) - looking for significant relationships between variables
- Chi-square tests
- Correlations- Pearson's, Spearman's, phi coefficients, point-biserial
- Regressions - simple, multiple, stepwise, hierarchical), mediators, moderators (interaction), suppressors, partial and semipartial correlations, beta weights
- Dummy coding
- Logistic regression
- Principal component analysis, exploratory factor analysis, factor loading, rotation, reliability
- Path analysis
- Structural equation modeling (SEM)
Plus many other important statistical concepts, processes, and procedures.
Each concept is explained with simple, understandable examples which include how-to video tutorials (by hand, SPSS, and Excel), guided practice (with explanatory video answers), self-assessment, and oh so much, much more.