SPSS for Beginners
This half day course is an introduction to the statistical software package – ‘SPSS for Windows’. The course uses a mixture of teaching and demonstrations and contains a large practical element involving step-by-step instructions and exercises.
Basic familiarity with the Windows environment and elementary knowledge of statistical concepts such as frequency distribution, mean, mode, median, standard deviation etc. is assumed. This course does not cover statistical theory.
- Define and code variables, enter and edit data
- Undertake basic exploratory & descriptive data analysis and interpret results
- Produce and interpret various types of graphs
- Import data from Excel into SPSS
- Export SPSS output into Word
Users are advised to follow up on this course by attending SPSS: Intermediate (SPSS2RPG2). This course follows directly from SPSS: Level 1 (SPSS1RPG1) and is designed to provide a more complete understanding of SPSS for manipulating data.
This is a half day course which builds upon the material covered in SPSS for Beginners (SSPS1RPG1) and provides greater detail of aspects of data handling in SPSS. The course will mix teaching with demonstration and hands-on exercises.
The primary aim of the course is to provide participants with a fuller understanding of the capabilities of SPSS for manipulating data.
This course assumes that you have attended the SPSS Beginners level training which covers basic skills in creating data file, entering & editing data, producing descriptive statistics and graphs, and exporting the output to MS Word.
- Introduction to the SPSS Command Language
- Creating new variables using the Compute facility
- Recoding existing variables using the Transform facility
- Working with subsets of data using Select Cases and Split File commands
- Merging SPSS data files (Adding Cases, adding Variables)
- Handling multiple response data
SPSS for Statistical Analysis
This one-day course (6 hours) provides an introduction to using SPSS for statistical applications. The course will use a mixture of teaching, using practical examples, and hands-on exercises. The primary aim of the course is to show how SPSS can be used to carry out some of the more commonly used statistical analyses. The emphasis will be on the practicalities of specifying an analysis and on the interpretation of results rather than on the underlying statistical theory.
You must be familiar with the basics of using SPSS for Windows at least to the level of the ‘SPSS for Beginners’ course and ideally to the level acquired by attendance at ‘SPSS Intermediate’. The course covers a mixture of topics ranging from elementary statistical procedures to more advanced procedures. A basic familiarity with elementary statistical methods and terminology is therefore an absolute minimum for attendance at this course. If you are in doubt about whether this course is suitable for you, please consult the ISS for advice.
•Data Exploration: distribution plots, tests for Normality, box-plots.
•Comparison of Means: t-tests for Independent Samples and Related Samples.
•Analysis of Variance: one-way ANOVA, factorial models, fixed effects models, random effects models, estimating contrasts, post-hoc tests.
•Regression and Correlation: fitting regression models, testing model adequacy and model assumptions, plotting fitted regression lines.
•Non-Parametric Tests: Mann-Whitney test for independent samples, Wilcoxon’s test for related samples
•Analysis of Contingency Tables: Pearson’s chi-square, Fisher’s Exact Test for 2X2 tables.
•Logistic regression: binary logistic regression for a dichotomous response variable.