SPSS For Research
SPSS data analysis made easy. Become an expert in advanced statistical analysis with SPSS.
4.52 (2125 reviews)
45 046
students
14 hours
content
Jun 2015
last update
$69.99
regular price
What you will learn
perform simple operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files
built the most useful charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams
perform the basic data analysis procedures: Frequencies, Descriptives, Explore, Means, Crosstabs
test the hypothesis of normality (with numeric and graphic methods)
detect the outliers in a data series (with numeric and graphic methods)
transform variables
perform the main one-sample analyses: one-sample t test, binomial test, chi square for goodness of fit
perform the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis
execute the analyses for means comparison: t test, between-subjects ANOVA, repeated measures ANOVA, nonparametric tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis etc.)
perform the regression analysis (simple and multiple regression, sequential regression, logistic regression)
compute and interpret various tyes of reliability indicators (Cronbach's alpha, Cohen's kappa, Kendall's W)
use the data reduction techniques (multidimensional scaling, principal component analysis, correspondence analysis)
use the main grouping techniques (cluster analysis, discriminant analysis)
Course Gallery
Charts
Students
Price
Rating & Reviews
Coupons Issued
Enrollment Distribution
Comidoc Review
Our Verdict
SPSS For Research is an extensive course that dives deep into conducting statistical analyses with SPSS, geared towards students with a background in statistics. The well-structured curriculum covers a wide range of essential tests while offering clear explanations and practice materials. However, the absence of exercise solutions makes self-assessment more difficult, and the unclear accent of the instructor may pose some challenges for certain learners. Nevertheless, if you're looking to bolster your SPSS skills with real-life applications and an academic touch, this course is worth checking out.
What We Liked
- Comprehensive coverage of SPSS data analysis and statistical testing
- Designed for students with some prior statistics knowledge, allowing for efficient learning and application
- Detailed explanations, clear examples, and ample practice materials that facilitate understanding
- Real-life applications woven through the course to promote contextual learning
Potential Drawbacks
- Lack of exercise solutions complicates self-assessment and proper result interpretation
- Minimal focus on advanced factorial and correspondence analysis reduces its relevance for specific users
- Occasional difficulties understanding the instructor's accent may hinder learning
- Incomplete transcripts can make following along more challenging
Related Topics
341502
udemy ID
11/11/2014
course created date
11/09/2019
course indexed date
Bot
course submited by