More information about the course

  • For WHO?

    Aimed at researchers who want learn data analysis in a statistical package such as SPSS using a questionnaire as research instrument. You must have a licence copy of SPSS if you want to follow the practical hands-on lessons.

  • WHY?

    To learn how to conduct statistical analyses in the correct manner, questionnaire validation as well as the assumptions of the statistical techniques are discussed.

  • Some QUESTIONS

    Do you know how to test validity and reliability of constructs in a questionnaire in a statistical package such as SPSS? Do you know which statistical techniques to use to answer the research questions? Will you be able to test the assumptions of the statistical techniques?

  • The SOLUTION

    A comprehensive course working with a questionnaire and dataset through all the steps in the data analysis cycle. From the raw dataset through to the analyses and results. Theoretical lessons on the statistical techniques and then practical application in the statistical package SPSS.

  • OUTCOMES

    Be able to import a raw dataset into SPSS, label it and verify and clean it. Be able to test validity with Exploratory Factor Analysis and reliability with the Cronbach Alpha Coefficient. Be able to do exploratory analysis with graphs and tables. Be able to do the following statistical techniques: The Pearson Chi-square test, correlation, simple linear regression, multiple linear regression and One-way ANOVA.

  • BONUSES

    Access to the Facebook group with monthly webinars. All the output from SPSS is provided.

Advantages

  • You get a comprehensive solution from the raw data up to the analyses and results.

  • You get all the necessary information in one place

  • You will save time

  • You will be able to test the assumptions of the statistical techniques which is usually left out from courses

  • You get knowledge from a Statistician with more than 19 years of consulting experience working with students and lecturers

  • You get knowledge from workshops that was developed at various Universities

  • Questions can be asked or comments given for most video lessons to receive feedback

Course curriculum

  • 1

    Welcome to the course!

  • 2

    1 Orientation

    • Introduction and content

    • The Communication Audit study

    • The questionnaire and data set

    • The research questions

    • The data analysis cycle

    • The statistical package
  • 3

    2 Data preparation

  • 4

    3 Questionnaire validation

    • Questionnaire validation content and introduction

    • Construct validation with Exploratory Factor Analysis: theory

    • Construct validation with Exploratory Factor analysis hands-on with SPSS

    • Export results from SPSS

    • Testing reliability of the constructs with the Cronbach Alpha: theory

    • Testing the reliability of the constructs with the Cronbach Alpha hands-on with SPSS

    • Calculating construct scores in SPSS
  • 5

    4 Exploratory Data Analysis

    • Exploratory data analysis content and introduction

    • Calculating descriptive statistics with SPSS

    • Drawing graphs for single variables in SPSS

      FREE PREVIEW

    • The Box plot with SPSS: The relationship between a continuous and categorical variable

    • The Scatter plot with SPSS: The relationship between two continuous variables

    • The Clustered Bar chart with SPSS: The relationship between two categorical variables

    • Tables with SPSS
  • 6

    5 Statistical analysis

    • Statistical analysis content and introduction

    • How to do a statistical analysis

    • Choose the correct statistical technique

    • The relationship between two categorical variables: The Pearson Chi-Square test Theory

    • The relationship between two categorical variables: The Pearson Chi-Square test in SPSS

    • The relationship between two continuous variables: Correlation analysis Theory

    • The relationship between two continuous variables: Correlation analysis in SPSS

    • The influence of one independent variable on a dependent variable: Simple Linear Regression Theory

    • The influence of one independent variable on a dependent variable: Simple Linear Regression in SPSS

    • The influence of more than one independent variables on a dependent variable: Multiple Linear Regression Theory

    • The influence of more than one independent variables on a dependent variable: Multiple Linear Regression in SPSS

    • Comparing the means of groups with Analysis of Variance(ANOVA) Theory

    • Comparing the means of groups with Analysis of Variance(ANOVA) in SPSS
  • 7

    Next steps

    • Congratulations! Here's what is next...

    • More resources for you

    • Before you go...

    • Exercises and download material from time to time

Get started now!

Get one year access to the course with 33 lessons

More information about the instructor

Check out the instructor's Linkedin profile at  

The Liminal Research Consult website where the instructor is co-owner  


Instructor(s)

Statistian

Hennie Gerber

Hennie Gerber is a consulting Statistician at Liminal Research Consult and is contracted to Unisa Graduate School of Business where he serves as a consultant to the ethics committee on research methodology and quantitative analysis. Hennie has more than 20 years of consulting and lecturing experience, he also presents workshops to various Universities since 2008.