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Udemy - SPSS - Essential Skills for Final-Year University Students

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Udemy - SPSS - Essential Skills for Final-Year University Students (Size: 1.8 GB)
  1 -An Introduction to Binary Logistic Regression and Entering the Data.mp4 60 MB
  1 -An Introduction to Multiple Linear Regression and Entering the Data.mp4 53.5 MB
  1 -An Introduction to One-Way Independent ANCOVAs and Entering the Data.mp4 62.2 MB
  1 -An Introduction to One-Way Independent MANOVAs and Entering the Data.mp4 80.5 MB
  1 -An Introduction to Simple Linear Regression and Entering the Data.mp4 38.5 MB
  1 -Course Introduction.mp4 18.4 MB
  1 -Data from lecture (binary logistic regression).xlsx 9.4 KB
  1 -Data from lecture (multiple linear regression).xlsx 9.5 KB
  1 -Data from lecture (one-way independent ANCOVA).xlsx 9.7 KB
  1 -Data from lecture (one-way independent MANOVA).xlsx 9.4 KB
  1 -Data from lecture (simple linear regression).xlsx 9.3 KB
  1 -Glossary.pdf 67.7 KB
  1 -Information sheet (binary logistic regression).pdf 36.7 KB
  1 -Information sheet (multiple linear regression).pdf 41.4 KB
  1 -Information sheet (one-way independent ANCOVA).pdf 41.7 KB
  1 -Information sheet (one-way independent MANOVA).pdf 41.4 KB
  1 -Information sheet (simple linear regression).pdf 40.8 KB
  2 -An Introduction to Two-Way Mixed ANOVAs and Entering the Data.mp4 78.1 MB
  2 -Check Assumptions, Create Graph, Run Analysis, Interpret Results.mp4 156.3 MB
  2 -Check Assumptions, Run Analysis, Interpret Results.mp4 136.7 MB
  2 -Check Normality, Outliers, and Linearity Between the Dependent Variables.mp4 131.8 MB
  2 -Data from lecture (two-way mixed ANOVA).xlsx 9.3 KB
  2 -Information sheet (two-way mixed ANOVA).pdf 42.6 KB
  2 -Mahalanobis Distance Critical Values.pdf 22.7 KB
  2 -Note on graphs.pdf 26.3 KB
  3 -Check Assumptions, Create Graph, Run Analysis, Interpret Results.mp4 142.5 MB
  3 -Check Other Assumptions, Run Analysis, Create Graph, Interpret Results.mp4 120.3 MB
  3 -Example results from lecture (simple linear regression).pdf 48.9 KB
  3 -Example results section from lecture (binary logistic regression).pdf 73.3 KB
  3 -Example results section from lecture (multiple linear regression).pdf 51.8 KB
  3 -Example results section from lecture (one-way independent ANCOVA).pdf 54.9 KB
  3 -Reporting the Results of the Binary Logistic Regression.mp4 65.3 MB
  3 -Reporting the Results of the Multiple Linear Regression.mp4 77.8 MB
  3 -Reporting the Results of the One-Way Independent ANCOVA.mp4 84.8 MB
  3 -Reporting the Results of the Simple Linear Regression.mp4 65.2 MB
  4 -Example results section from lecture (one-way independent MANOVA).pdf 57.3 KB
  4 -Example results section from lecture (two-way mixed ANOVA).pdf 55.4 KB
  4 -Reporting the Results of the One-Way Independent MANOVA.mp4 98.1 MB
  4 -Reporting the Results of the Two-Way Mixed ANOVA.mp4 90.6 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 43 total files

Description


SPSS: Essential Skills for Final-Year University Students

https://WebToolTip.com

Published 4/2025
Created by David Robinson
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 20 Lectures ( 1h 52m ) | Size: 1.81 GB

Learn to run analyses on SPSS, interpret outputs with confidence, and report results in APA style like a pro.

What you'll learn
SPSS: Essential Skills for Second-Year University Students
Run Analyses
Interpret Results
Reports Results in APA Style
Create Graphs
Check Assumptions
Two–Way Mixed ANOVA
One-Way Independent ANCOVA
One-Way Independent MANOVA
Simple Linear Regression
Multiple Linear Regression
Binary Logistic Regression

Requirements
Students should have access to SPSS. The course videos were created in 2025 with version 30 of SPSS. There are only minor differences between versions, so the course is also suitable for students with other versions released around the same time. The student only needs to have knowledge of basic concepts, such as means, medians, and statistical significance. A free glossary defines all of the terms used in the course.

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