Factor analysis by principal componentsĭownload the IBM SPSS: Advanced courseware.Binary/Multinomial logistic regression models.The course consists of three sessions of 2 hours each. The only essential prerequisite is knowledge of the content covered in the IBM SPSS: Introduction and IBM SPSS: Intermediate courses. The main aim is to teach participants about general linear models, generalized linear models, data reduction and clustering techniques. This course is aimed at staff, postgraduate and doctoral students (Masters and Ph.D.), who already have a background of statistics and the use of IBM SPSS as a statistical tool, but need to use advanced statistical analyses that are required for postgraduate theses. Prerequisites: IBM SPSS: Introduction and IBM SPSS: Intermediate Target audience: Staff, postgraduate and doctoral students The course consists of three sessions of 2 hours each.ĭownload the IBM SPSS: Intermediate courseware. The only essential prerequisite is knowledge of the content covered in the IBM SPSS: Introduction course.
Course participants will learn how to perform simple and advanced tests on data using IBM SPSS. The main aim is to teach participants more advanced statistical analyses, and how IBM SPSS can help in analysing data efficiently. This course is aimed at staff and UM students who already have a background of statistics and the use of IBM SPSS as a statistical tool.
Registration fee: €37.27 Learning outcomes and structure Liberato Camilleri - Department of Statistics & Operations Researchĭuration of course: 6 hours (3 sessions of 2 hours each) Further exercises will be available for the user who wants further practice.ĭownload the IBM SPSS: Introduction courseware. The course is intended to be a hands-on course, where a technique learnt will be applied to a case study.
Inter-rater, Intra-rater and Test retest reliability.Define measure of peakedness - coefficient of kurtosis.Define measure of symmetry - coefficient of skewness.Define measures of dispersion - range, variance and standard deviation.Define measures of location - mean, median and mode.Generate clustered bar graphs to relate two categorical variables.Produce scatter plots to relate two continuous variables.Generate bar graphs and pie charts for categorical variables.Produce histograms to display distribution of continuous variables.Analyse multiple responses by stacking the data.Analyse multiple responses by using the multiple response option.Transform continuous to categorical variables.Use of the Recode and the Select options.
The only essential prerequisite is familiarity with MS Windows and the basic concepts of MS Excel. Course participants will learn how to input data into IBM SPSS, how to create variables, how to illustrate data graphically, how to get simple statistics such as mean, variance etc., and reliability analysis, which is essential to validate results obtained from a questionnaire. The main aim is to teach participants basic statistics, and how IBM SPSS can help in analysing data efficiently. The course is intended for beginner IBM SPSS users. This course is aimed at staff and UM students who want to use IBM SPSS to complement or enhance their statistical analysis, but who do not have the time to study the associated techniques from scratch.