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#Ibm spss statistics data editor how to
#Ibm spss statistics data editor manuals
#Ibm spss statistics data editor pdf
#Ibm spss statistics data editor registration

Course manuals and additional training materials will be provided to the participants upon completion of the training. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields.

Overview of decision tree based methods (CRT Decision Trees CRT Regression Trees Quest Analysis).

Longitudinal analysis for continuous outcomes.

Interpret the results of several types of nonparametric tests.

Describe the options in the Nonparametric Tests procedure dialog box and tabs.

Describe when non-parametric tests should and can be used.

Bivariate Plots and Correlations for Scale Variables.

Cross tabulations of categorical variables.

Distribution and relationship of variables.

Descriptive statistics for numeric variables.

Data manipulation: merge files, spit files, sorting files, missing values.

Views: Variable, Data views, Syntax editor.

Introduction to SPSS statistical software

Explain differences between independent and dependent variables.

Explain differences between experimental and non-experimental research designs.

Explain differences between populations and samples.Explain the basic steps of the research process.

Those working in the corporate world, public sector, research institution and NGOs. The course targets project staff, researchers, managers, decision makers, and development practitioners who are responsible for projects and programs in an organization. O Performing the tests of association: Pearson and Spearman correlation, partial correlation, chi square test for association, loglinear analysis O Performing the main one-sample analyses: one-sample t test, binomial test, chi square for goodness of fit O Detecting the outliers in a data series O Performing the basic data analysis procedures: Frequencies, Descriptive, Explore, Means, Crosstabs O Building charts in SPSS: column charts, line charts, scatterplot charts, boxplot diagrams O Performing operations with data: define variables, recode variables, create dummy variables, select and weight cases, split files O Perform simple to complex data management tasks using SPSS

#Ibm spss statistics data editor how to

Participants will review several statistical techniques, gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results. This course provides the participants with a practical application of the statistical component of IBM® SPSS® Statistics. Statistical Package for Social Sciences (SPSS) is one of the most user friendly statistical software for researchers providing visualization and data analytical tools. Additionally, the training will also focus on developing skills that are crucial to the transformation of data using SPSS. It will provide the participants with a general idea of computer assisted data analysis. The training is essential in the development of better understanding of the concepts of statistics. Thank you Online/ On-site (Nairobi, Kenya) Training Dates

#Ibm spss statistics data editor registration

This course uses the IBM SPSS Statistics Base one section presents an add-on module, IBM SPSS Custom Tables.NOTE: To view the training dates and registration button clearly put your mobile phone, tablet on landscape layout. In addition to the fundamentals, students will learn shortcuts that will help them save time. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis.

#Ibm spss statistics data editor pdf

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.