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Genre: Business / Data & Analytics | Language: English | +Project Files
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.
First, you need to know how to choose the right statistical test.Then, you need to know how to do the analysis in computer software like SPSS so you can draw conclusions from your data.
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.
What are the requirements?
Over 24 lectures and 2.5 hours of content!By the end of the course you will be able to:Decide on the right analysis to perform on your dataUnderstand how the SPSS program works.Input data into SPSS and save it.Select the appropriate data entry method for the type of data you have.Select the appropriate descriptive analysis technique for the type of data you have and the questions you are trying to answer.Select the appropriate inferential analysis technique for the type of data you have and the questions you are trying to answerPerform the analyses using SPSS.Interpret the data output.
What is the target audience?
This course is for you if you are a student that is struggling with learning statistics, or if you are a student finding it difficult to analyse your dissertation data.This course is also for you if you are a researcher involved in analysing data within your organisation. If you are already involved in quantitative research, you will benefit by learning new quantitative data analysis skills. If you are involved in qualitative research, you will expand your skills portfolio to include quantitative techniques.The material will also be valuable for consultants involved in assignments that produce quantitative data (e.g. usability tests, surveys and focus groups).
Section 1: Introduction
Lecture 1 Why take this course? 02:05
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.
Lecture 2 Let's goof around with SPSS 06:51
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:
Section 2: Building blocks
Lecture 3 The building blocks of choosing a statistical test 04:53
Lecture 4 Building Block 1: Variables 06:02
Lecture 5 Building Block 2: Levels of Measurement 07:52
Lecture 6 Building Block 3: Study Design 05:19
Lecture 7 Building Block 4: Research Methodology 03:38
Quiz 1 Quiz: Test your knowledge of the building blocks 8 questions
Section 3: Coding data in SPSS
Lecture 8 How to code data in SPSS 15:26
Lecture 9 Data coding activity 02:44
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 2 Quiz: Test your knowledge of data coding in SPSS 5 questions
Section 4: Descriptive Statistics
Lecture 10 Who are you calling average? Calculating the mean 04:38
Lecture 11 There's more than one average: Calculating mean, median and mode 03:48
Lecture 12 Counting on your data: Frequency analysis 03:12
Quiz 3 Quiz: Test your knowledge of descriptive statistics 5 questions
Section 5: Inferential Statistics
Lecture 13 T-test: One Sample T-test 07:06
Lecture 14 T-test: Independent Samples T-test 07:32
Lecture 15 T-test: Paired Samples T-test 05:12
Quiz 4 Quiz: Test your knowledge of the t-test 5 questions
Lecture 16 Correlations - Pearson’s R 10:33
Lecture 17 Correlations - Non-Parametric: Kendalls Tau & Spearmans Rho 03:50
Quiz 5 Quiz: Test your knowledge of correlations 5 questions
Lecture 18 Chi-Square - Single Variable (Goodness of Fit) 10:58
Lecture 19 Chi-Square - Cross-Tabulation (Multi-Dimensional) 09:14
Quiz 6 Quiz: Test your knowledge of Chi-Square 5 questions
Lecture 20 Analysis of Variance - One Way ANOVA (Between Participants) 11:59
Lecture 21 Analysis of Variance - Repeated Measures ANOVA (Within Participants) 10:04
Quiz 7 Quiz: Test your knowledge of ANOVA 6 questions
Lecture 22 Regression Analysis 07:22
Quiz 8 Quiz: Test your knowledge of regression analysis 3 questions
Lecture 23 Cheat sheet: Which statistical test should you use? 1 page
Section 6: Summary and wrap up
Lecture 24 Wrap-Up 00:44
Best of luck with your statistical analysis and don't forget to ask questions!