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Advanced Statistics for the Social Sciences with SPSS

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.