DESCRIPTION

Multiple linear regression is perhaps the most popular analysis in a wide variety of fields.

In this video I’ll slowly walk you through each step for running a correct and complete analysis in SPSS.

Some main points I’ll cover are

-basic data screening with histograms
-more data screening with scatterplots for which I’ll show a nice tool
-a quick inspection of Pearson correlations
-interpreting the actual regression output and finally
-the four main regression assumptions.

I’ll also explain some basic theory -such as the b and beta coefficients- but I’ll do so with simple language and examples instead of mathematical formulas.

Hope it helps!


TIMESTAMPS:

03:34 overview main steps
04:39 data screening I - histograms
11:28 data screening II - scatterplots
15:02 data screening III - Pearson correlations
20:23 SPSS regression dialogs
24:59 regression output I - coefficients table
26:10 b-coefficients (unstandardized)
36:55 beta coefficients (standardized)
46:49 regression output II - model summary
49:07 r-square
50:15 Cohen's rules of thumb for small, medium, large r-square
51:00 adjusted r-square
54:22 APA style multiple regression table
55:50 evaluating multiple regression assumptions


RESOURCES:

Written version: [ Ссылка ]

Download example data file from: [ Ссылка ]

Download final syntax file from: [ Ссылка ]

Download scatterplots tool from: [ Ссылка ]

SPSS syntax introduction: [ Ссылка ]


FOLLOW US!

Official website: [ Ссылка ]
LinkedIn: [ Ссылка ]
Facebook: [ Ссылка ]

#SPSS #Statistics #Dataanalysis

свернуть