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The 16-hour SPSS Pro: Analysis, Interpretation, and Write-Up

The 16-hour SPSS Pro: Analysis, Interpretation, and Write-Up
Link : The 16-hour SPSS Pro: Analysis, Interpretation, and Write-Up
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Your complete guide for importing and setting up your data, checking assumptions, running analyses, and reporting.by Todd L. Bottom, Ph.D.

What you'll learn
  • How and were to download SPSS, including the free trial
  • How to import data from Excel files
  • How to do quick descriptive analyses
  • How (and why) to completely fill in all variable information
  • How export data into Excel, SAS, CSV, Stata and Lotus
  • The importance of version control and not overwriting data files
  • How to identify duplicate and unusual cases
  • How to weight cases
  • How to compute subscale and total measure scores
  • How to recode into same or different variables
  • How to replace and label missing data
  • How and when to reverse score items
  • How to run descriptive statistics including frequencies and crosstabs
  • How to check and interpret data normality with PP and QQ plots
  • How to conduct, interpret, and write results for comparing means with three types of t-test
  • How to conduct, interpret, and write results for two types of correlation analysis
  • How to conduct, interpret, and write results for three types of regression
  • How to conduct and interpret general linear models in the form of ANOVA/ANCOVA
  • How to conduct and interpret two types of cluster analysis
  • How to classify cases with ROC curve
  • How to conduct and interpret principle components factor analysis
  • How to conduct, interpret and write reliability analysis
  • How to analyze and impute missing data (and why this may not be a good idea for most researchers)
Description
Even after completing 8 years of college and taking 6-7 stats classes, conducting analyses and reporting results is without a doubt the most dreadful aspect of research for graduate students and many early career professionals. Are you wondering whether (or how) to check for normally distributed data? Can you use some help understanding how to interpret the amount of variance that is explained by your model and what to do with that information relative to your results? Are you wondering how to even set up your SPSS data file and checking for missing or outlying data before running your analyses?

Most of these skills (and many others that you will need for your graduate-level research) are not taught in classrooms, so it’s no wonder that so many graduate students struggle when it comes to the very important task of properly analyzing and reporting their research data. That’s why we designed this course….to fill those gaps that no one has showed you before.

Your instructor is Dr. Todd Bottom, a veteran researcher for 12 years who has worked in education, pharma research, consulting and dissertation coaching. Specific to this course, Todd also taught psychology classes at DePaul University in Chicago, including undergraduate statistics.

In this 16-hour extensive and comprehensive course on using SPSS, you will learn much more than simply what to click to run your analyses. Not only do we use a full data set with over 200 participants and 100 variables, the content runs from a basic understanding for newbies to understanding and reporting complex analyses such as cluster analysis and repeated measures ANOVA.

Link : SPSS Linear Regression Complete Tutorial with PhD Professor
SPSS Linear Regression Complete Tutorial with PhD Professor
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Link : IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced
IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced
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Learn Structural Equation Modelling, Path Analysis and Confirmatory Analysis using IBM SPSS AMOS from Scratch
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Link : IBM SPSS Statistics: Getting Started
IBM SPSS Statistics: Getting Started
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IBM SPSS Statistics is leading statistical software that helps you quickly and ... Take this tutorial to discover the capabilities of SPSS Statistics using financial data ...by Sandy Midili

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