Data Management and Statistical Analysis using SPSS Training course

Module 1: Statistical Concepts

  • Introduction
  • Types of data
  • Data structures and types of variables
  • Overview of SPSS
  • Working with the SPSS software (file management editing functions viewing options etc)
  • Output management
  • Basics programming of SPSS 

Module 2: Data Entry/Management

  • Entering data in SPSS
  • Defining and labeling variables
  • Validation and sorting variables
  • Transforming recoding and computing variables
  • Restructuring data
  • Replacing missing values
  • Merging files and restructuring
  • Splitting files selecting cases  and weighing cases
  • Syntax and output

  • Graphics using SPSS

  • Introduction to graphs in SPSS
  • Graph commands in SPSS
  • Different types of Graphs in SPSS

  • Module 3: Statistical Inference and Descriptive Statistics

    Introduction

  • Types of statistical tests (Association/relationships differences causality etc)
  • Hypothesis testing

  • Basic Statistics using SPSS

  • Descriptive statistics for numeric variables
  • Frequency tables
  • Distribution and relationship of variables
  • Cross tabulations of categorical variables
  • Stub and banner tables

  • Correlation  

  • Correlation of bivariate data
  • Subgroup correlations
  • Scatterplots of data by subgroups
  • Overlay scatterplots 

  • Comparing Means

  • One sample t-tests
  • Paired sample t-tests
  • Independent samples t-tests
  • Comparing means using One-Way ANOVA 
  • MANOVA: multivariate analysis of variance
  • Repeated measures ANOVA 

  • Tests of Associations

  • Goodness of Fit Chi Square – All categories equal
  • Goodness of Fit Chi Square – Categories unequal
  • Chi Square for contingency tables
  • Pearson correlation
  • Spearman correlation

  • Nonparametric Statistics 

  • Mann-Whitney test
  • Wilcoxon’s Matched Pairs Signed-Ranks Test
  • Kruskal-Wallis One-Way ANOVA
  • Friedman’s Rank Test for k Related Samples

  • Comparing Means Using Factorial ANOVA 

  • Factorial ANOVA Using GLM Univariate
  • Simple Effects 

  • Module 4: Advanced Analysis and Modeling using SPSS

    Predictive Models using SPSS

  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Ordinal Regression

  • Longitudinal Analysis using SPSS

  • Features of Longitudinal Data
  • Exploring Longitudinal data
  • Longitudinal analysis for continuous outcomes

  • Time Series and Forecasting using SPSS

  • The basics of forecasting
  • Smoothing of time series data
  • Regression with time series data
  • ARIMA models

  • Module 5: Revision and Other Topics

    Revision

  • Data analysis using SPSS project
  • Guided revision

  • Other topics

  • Cluster Analysis
  • Factor analysis
  • Survival Analysis (Kaplan-Meier)
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