SPSS for Newbies Part 1
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SPSS for Newbies Part 1 covers material mostly to the level of a first course in statistics taught at university. The course is based on one that I have delivered to organizations, as a day course for the public in the UK, and parts have been taught to postgrad social science students picking up tools quickly to undertake dissertations. Because people taking my course have little to no background in stats, I take the gentle approach, explaining concepts in a non-mathematical way. And because of my experience, I am able to share with you in the videos, things to watch out for - the kind of things students slip up on.
You have access to video tutorials, course notes with screen shots, and tasks to reinforce your learning. Should you get stuck on any task, don't worry, as you can get help from me through the online help forum. (It really is kind of being in a class!).
The introductory course comprises two parts, and each part has material for a one day course. This first part sets out by presenting a mini questionnaire used in a survey. Whether you have collected the data from a survey of a clinical trial, how does one go about entering data into SPSS, and when the data is in SPSS, how do you go about analyzing it? I show you how to enter data into SPSS, and in Part 1 of this course, I show you two basic tools - plots, and the popular crosstabs (chi-square test) analysis. The coverage of crosstabs is about what you'd see on a masters course with pretty much everything you'd need for a project.
SPSS newbies often think they have to study and entire stats book before they can do a project. That's not the case. Once you have the basics you can study the method that's applicable to your study. This course gives you the basic tools to do that.
Don't have SPSS on your machine?
Don't let that stop you signing up. I show you how to download a free trial version.
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Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Welcome|
SPSS - your first sessionPreview
|Section 2: Resources|
Course book (with screenshots)
Solutions to selected Tasks
|Section 3: Data Entry|
Recognizing your variables: nominal, ordinal, and scalePreview
Data entry - Variable View and the Data Editor
Task 1: Recognizing data types (up to 15 mins)
Data entry - how to code your data
Data entry- missing values
Task 2: creating a SPSS file (30mins)
|Section 4: Importing and Managing Data|
How to undo a mistake, delete, insert and move variables
Task 3: Managing variables (15mins)
How to import Excel files
Task 4: Importing Excel Data (15mins)
|Section 5: Descriptive Statistics|
Measures of location: do I report the mean, median, or mode?
Measures of variability
Task 4.1: Summary Statistics
|Section 6: Basic charts|
Basic charts - a picture is worth a thousand words
Descriptive stats using the Frequency command
Formatting your chart
Exporting charts and tables to Word / Power point
Task 5: Descriptive stats using the Frequency command
|Section 7: Comparing Groups|
The Split file command
Task 6: Comparing two groups (15mins)
Clustered bar chart
Using Chart Builder
Task 7: Clustered Bar Charts (10mins)
|Section 8: Crosstabs|
The P-value: how to use it, remember it
Example: the crosstabs table
Running the chi-squared test
Task 8: Basic crosstabs (20mins)
Reporting the strength of association
Beyond the basics: When to collapse groups
Beyond basics: How to collapse groups
Task 9: Collapsing Groups in Crosstabs
Beyond the basics: controlling for a third variable
Task 10: Crosstabs with a third variable
|Section 9: Looking Ahead|
Phil has over 10 years experience teaching math and statistics to college students, and run computing courses for organizations. He is experienced in teaching students with a low math background, and getting resit students through an exam. He has tutored private students taking courses from all over England face-face and online. He has a teaching prize awarded by a top university, and has over 6000 subscribers on Youtube on his statistics channel. He teaches quantitative methods, calculus, linear algebra, core undergrad statistics, econometrics, and more advanced courses in regression, and statistical computing packages SPSS, R, Stata, Eviews, Gretl, Oxmetrics. He speaks with a northern British accent, and delivers his content over video clearly and audibly. Before taking a course with him check out his Youtube channel and blog.