One Way ANOVA (Analysis of Variance) w/ GLM in SPSS (SPSS Tutorial Video #17); General Linear Model
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- Опубликовано: 3 июл 2024
- In this video, I cover the details of how how to conduct and interpret the results of a One Way ANOVA (Analysis of Variance) using the General Linear Model (GLM) tool in SPSS. I compare this tool to the standard One-Way ANOVA tool and explain why GLM is more robust. An ANOVA allows you to compare the mean of a single variable across N (or many) groups. I show you how to do all this and include a discussion on multiple comparisons, bonferroni corrections, how to quickly plot results with error bars, and give you a chance to try it yourself.
This SPSS tutorial series is designed to teach you the basics of how to analyze and interpret the results of data using SPSS. I will cover everything from the very basics of the main windows within SPSS, to manipulating data, to running and interpreting meaningful analyses like t-tests, ANOVA, regression, and many more, and visualizing results.
Video about One-way ANOVA: • One Way ANOVA (Analysi...
Video about One-way ANCOVA: • One Way ANCOVA (Analys...
Video about Planned Contrasts with One Way ANOVA: • Planned Contrasts and ...
Video about Two-way ANOVA: • Two Way Anova in SPSS ...
Video about Planned Contrasts with Two Way ANOVA: • Contrasts with Two Way...
Video about Multivariate Analysis of Variance (MANOVA): • Multivariate Analysis ...
Video about Repeated Measures ANOVA: • Repeated Measures ANOV...
Video about selecting cases: • Select Cases and Split...
The data file used in this video can be found here: drive.google.com/file/d/1-Bbn...
Video tutorial and walkthrough of the data file used in this video: • Introduction to Data F...
Playlist of video covering INTUITION for statistics and data science: • Data Intuition
All the SPSS tutorial videos are in this playlist: • SPSS Tutorials
Learn more about who I am and why I'm doing this here: • Data Demystified - Who...
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Patreon: / datademystified
Website: www.jeffgalak.com/datademystified
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a true problem solver.....solved my problem I have been trying to solve for 6 months
wow, this video was so well made I was surprised the views weren't higher! Thank you for this, valuable in my dissertation.
Thank you! It's a pretty new video, but hopefully others will find it and get use from it! Good luck with your dissertation.
truly appreciate the way you explain things... you made stat easy
Hi Jeff--I recently discovered you and your Data Demystified series. Excellent!! One critical comment I have is your speed of delivery. You talk much faster than I think you should if your goal is teaching. It's almost as if RUclips is requiring you to run through your videos as if there was literally a strict time limit on your sessions. In your introduction to your series, you talk about how your goal is to teach statistics in a better way than you (and others) have done in the past. As a former statistics professor, as well as a student, I think fast talking is yet another factor that impedes learning, especially for students who are new to the subject.
Thanks, you have made video very clear and positive thing is that you also showed how to interpret and write the results.
Please make video on Generalized Linear Mixed Models.
I am going to subscribe. I hope your video will help me lot in my research analysis.
Firstly, I found this video, and then I watched all your SPSS contents. They are so well made. Most of the other SPSS videos are so old and not that well made. Thank you so much. I do have a question: don’t we need to do homogeneity tests (Levee’s Test) all the time in ANOVA?
Awesome Video! Well explained! Quick question..
How could you manipulate the design of an experiment to reduce teh amount of error resulting in data?
Thanks! That's a REALLY big question. I actually have two videos on internal validity coming up in my Data Intuition data series. The first one releases next Thursday (12/17/2020), so keep an eye out for that. It'll speak to a number of ways in which you can avoid issues related to internal validity, which will absolutely help reduce noise in data. Beyond that, there are 100s of approaches you can take. If you have a specific research design in mind, feel free to post another comment here and I'd be happy to provide some feedback.
What if we have 3.level of DV and 3.level of IV. Like normal difficult very difficult and low moderate high ?
ANOVA compares the average of sets of data.
What statistical analysis do you recommend to compare the distribution between sets of data?
How about checking the normality of the data?
Is ample size important? for instance, are 6 samples in a group adequate?
Can we implement ANOVA when the sample size is different in different groups?
Thanks
Hello. I noticed you didn't do any normality tests but this is an important condition for ANOVA. Why didn't you do that please?