SPSS for NonStatisticians- Analysis, Interpretation, Writeup

Course Curriculum

Chapter 1: Introduction and getting started

Lecture 1: What is SPSS

Lecture 2: Downloading and installing SPSS

Lecture 3: The SPSS Interface

Chapter 2: Statistics basics

Lecture 1: Understanding Data

Lecture 2: Understanding variables

Lecture 3: Measurement levels – the key to choosing analyses

Lecture 4: Branches of statistics

Chapter 3: Getting data into SPSS

Lecture 1: Creating variables

Lecture 2: Creating variables II

Lecture 3: Entering data in SPSS

Lecture 4: Importing data from Excel

Chapter 4: Exploring data using descriptive statistics

Lecture 1: Frequencies

Lecture 2: Interpreting and reporting frequencies

Lecture 3: Summary statistics

Lecture 4: Summary statistics II

Lecture 5: Interpreting and reporting summary statistics

Chapter 5: Exploring relationships between variables

Lecture 1: Introduction to variable relationships

Lecture 2: Mean comparisons – Relationship between categorical and continuous variables

Lecture 3: Interpreting and reporting mean comparisons

Lecture 4: Crosstabulation – relationships between 2 categorical variables

Lecture 5: Interpreting and reporting crosstabulations

Lecture 6: Correlation – relationship between 2 continuous variables

Lecture 7: Interpreting and reporting correlations

Lecture 8: Using custom tables

Lecture 9: Univariate variable multiple response analysis

Lecture 10: Multiple response crosstabulation

Chapter 6: Charts

Lecture 1: Introduction to charts in SPSS

Lecture 2: Charts for single categorical variables – Pie chart and bar chart

Lecture 3: Charts for single continuous variables – Histogram and boxplot

Lecture 4: Charts for relationships between categorical and continuous variables

Lecture 5: Charts for relationships between categorical variables

Lecture 6: Charts for relationships between continuous variables – Scatter plots

Lecture 7: Charts for exploring trends – Line charts

Lecture 8: Customizing charts

Chapter 7: Transforming variables

Lecture 1: Introduction to variable transformation

Lecture 2: Ranking

Lecture 3: Binning

Lecture 4: Recoding

Lecture 5: Calculating new variables

Chapter 8: Data management

Lecture 1: Introduction to data management in SPSS

Lecture 2: Filtering using Select-cases

Lecture 3: Disaggregating using Split file

Lecture 4: Merging files by adding cases

Lecture 5: Merging files by adding variables

Chapter 9: Getting started with inferential statistics and hypothesis testing

Lecture 1: Fundamentals of inferential statistics and hypothesis testing

Lecture 2: Producing, interpreting and reporting correlations

Chapter 10: Inferential statistics – Mean Comparisons

Lecture 1: One sample t-test

Lecture 2: Interpreting and reporting one sample t-test

Lecture 3: Paired samples t-test

Lecture 4: Interpreting and reporting paired samples t-test

Lecture 5: Independent samples t-test

Lecture 6: Interpreting independent samples t-test: The Levene's test

Lecture 7: Interpreting and reporting independent samples t-test: The t-test

Lecture 8: Analysis of Variance (ANOVA)

Lecture 9: Interpreting the ANOVA – Levene's test

Lecture 10: Interpreting the ANOVA – Post Hoc Tests

Lecture 11: Reporting ANOVA

Chapter 11: Inferential Statistics – Linear Regressions

Lecture 1: Introduction to linear regression

Lecture 2: Running and interpreting simple linear regression

Lecture 3: Running a multiple linear regression

Lecture 4: Interpreting multiple linear regression

Lecture 5: Basic options for regressions

Lecture 6: Reporting regressions

Chapter 12: Inferential statistics – Nonparametric tests

Lecture 1: Chi square of independence

Lecture 2: Interpreting and reporting chi-square