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How do you feel about statistics? Are you afraid you will pick the wrong test? Or make a mistake in your calculations and misinterpret your data? In short: are you afraid of stats?
If so, you've come to the right place! I'm here to demonstrate that your fear of statistics is unfounded.
Despite what many people think, you don't need to learn complex mathematical formulae to perform statistical analyses. You just need to learn two things.
It's that easy!
This course will show you how to pick the right statistical test by answering four simple questions about your data and your research methodology. I call these the building blocks of statistical analysis, and it involves no maths at all.
Then you'll learn how to use SPSS to do the hard work for you. Even if you've never used SPSS, I'll help you get comfortable with the program. You'll learn how to open SPSS, enter data into the program and save it. Next you'll learn how to use SPSS to obtain descriptive statistics such as the mean, median, mode and frequencies. Then you'll discover how to use SPSS to calculate inferential statistics such as the t-test, correlation, Chi-square, ANOVA and regression.
The ability to perform quantitative data analysis is becoming an increasingly important skill for researchers to possess. Adding these skills to your CV will make you more employable and give you the confidence you need to start analysing your data today.
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|Section 1: Introduction|
Below is a folder that contains all the SPSS data files that we will be using later on during the course. You need SPSS to be able to open these files. Once you have unzipped the folder and downloaded the files you can then use them during the approprate lecture.
One of the requirements for this course is that you have a licensed version of SPSS on your own computer. Before taking part in this lecture, you need to make sure that you do have SPSS open on your desktop or laptop. If you don't currently have a licensed version of SPSS, you can download a trial version here: http://www-03.ibm.com/software/products/en/spss-stats-base
|Section 2: Building blocks|
The building blocks of choosing a statistical test
Building Block 1: Variables
Building Block 2: Levels of Measurement
Building Block 3: Study DesignPreview
Building Block 4: Research Methodology
Quiz: Test your knowledge of the building blocks
|Section 3: Coding data in SPSS|
How to code data in SPSS
You can download the attached file in order to see the data for the data entry exercises. The document also shows you SPSS images of the completed Data View and Variable View pages for each data entry exercise.
You can also download the attached SPSS data files, to see for yourself how I coded the data and play around with the options.
Quiz: Test your knowledge of data coding in SPSS
|Section 4: Descriptive Statistics|
Who are you calling average? Calculating the meanPreview
There's more than one average: Calculating mean, median and mode
Counting on your data: Frequency analysis
Quiz: Test your knowledge of descriptive statistics
|Section 5: Inferential Statistics|
T-test: One Sample T-test
T-test: Independent Samples T-test
T-test: Paired Samples T-test
Quiz: Test your knowledge of the t-test
Correlations - Pearson’s R
Correlations - Non-Parametric: Kendalls Tau & Spearmans Rho
Quiz: Test your knowledge of correlations
Chi-Square - Single Variable (Goodness of Fit)
Chi-Square - Cross-Tabulation (Multi-Dimensional)
Quiz: Test your knowledge of Chi-Square
Analysis of Variance - One Way ANOVA (Between Participants)
Analysis of Variance - Repeated Measures ANOVA (Within Participants)
Quiz: Test your knowledge of ANOVA
Quiz: Test your knowledge of regression analysis
Cheat sheet: Which statistical test should you use?
|Section 6: Summary and wrap up|
Best of luck with your statistical analysis and don't forget to ask questions!
Dr Tendayi Viki wears many hats as an academic, author, consultant and entrepreneur. He holds a PhD in Psychology and an MBA. He teaches Statistics and Research Methods at the University of Kent (UK). He has also been a Research Assistant at Harvard University (USA) and a Research Fellow at Stanford University (USA). He has published over 30 scientific papers and several book chapters.