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Module 7: The Data Menu
8 Lessons -
Module 8: The Transform Menu
8 Lessons-
StartLecture 1A: Computing a Subscale Total Score
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StartLecture 1B: Computing a Measure Total Score
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StartLecture 2: Re-coding into Same Variable
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StartLecture 3: Re-coding into Different Variables
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StartLecture 4: Automatic Re-coding (Reverse Scoring Items)
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PreviewLecture 5: Designating Missing Values
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StartLecture 6: Replacing Missing Values
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StartModule 8 Quiz (15 Questions)
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Module 9: The Analyze Menu
26 Lessons-
StartLecture 1: Reports
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PreviewLecture 2A: Descriptive Statistics - Frequency Counts and Tables
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StartLecture 2B: Descriptive Statistics - Descriptives
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StartLecture 2C: Descriptive Statistics - Crosstabs
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StartLecture 2D: Descriptive Statistics - Data Normality (PP and QQ Plots)
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StartLecture 3A: Compare Means - Means
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StartLecture 3B: Compare Means - One Sample t-Test
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StartLecture 3C: Independent Samples t-test
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StartLecture 3D: Paired Samples T-test
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StartLecture 3E: One-Way ANOVA
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StartLecture 4A: Univariate ANOVA
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StartLecture 4B: Multivariate ANOVA
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StartLecture 4C: Repeated Measures ANOVA
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StartLecture 5A: Bivariate Correlation
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StartLecture 5B: Partial Correlation
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StartLecture 6A: Linear Regression
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StartLecture 6B: Binary Logistic Regression
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StartLecture 6C: Multiple (Stepwise) Regression [Part 1]
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StartLecture 6C: Multiple (Stepwise) Regression [Part 2]
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StartLecture 7A: K-Means Cluster Analysis
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StartLecture 7B: Hierarchical Cluster Analysis
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StartLecture 7C: ROC Curve
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StartLecture 8: Principal Components Analysis (Factor Analysis)
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StartLecture 9: Reliability - Cronbach's Alpha
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StartLecture 10: Missing Values Analysis
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StartLecture 11: Multiple Imputation for Missing Data
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SPSS Advanced Course
Analyzing Data, Checking Assumptions, Writing Results
Do your data violate the assumption of normal distributions or equal variances?
Can you show and explain how much variance is explained by your model?
In this 13-hour course, you will learn much more than simply what to click to run your analyses.
We use a full data file with over 200 participants and 100 items, and the content progresses from a basic understanding for new learners to understanding and reporting complex analyses such as cluster analysis and repeated measures ANOVA.
Tired of trying to learn on your own how to properly conduct and write up your analyses ?
13 Hours of Instruction
Plus Bonus 45-Minute Bonus Lecture
Downloadable Data Files and Course Materials
Exclusive Members-Only Community
t-tests
One-Sample
Independent Samples
Paired Samples
ANovas
One-Way
Univariate
Multivariate
Repeated Measures
correlations
Bivariate
Partial
regressions
Linear
Binary Logistic
Multiple (Stepwise)
cluster
K-Means
Hierarchical
reliability
Cronbach's Alpha
- If you are new to conducting analyses with SPSS, the early modules will be a great learning resource as you prepare for and conduct more simple and preliminary analyses such as descriptive statistics, correlations, and checking for assumptions regarding the quality of your data.
- If you are somewhat familiar with SPSS but don’t have a lot of experience, this course will guide you through the most important aspects of completely and accurately running your analyses, whether you’re conducting t-tests, regressions, ANOVAs, or more sophisticated analyses such as cluster analysis or factor analysis. Along the way you will learn the differences between several types of (for example) regressions and t-tests, when to use a repeated measures analysis, and whether your data meet appropriate assumptions such as normal distribution of data.
- If you have been familiar with SPSS for some time, the course will give you the benefit of having lifetime access that you can return to months or years later as a refresher. Have you ever learned information that you needed to know for just a short time and then forgotten much of it? When you purchase this course, you will never need to hunt down your old colleagues for help or to relearn everything needed to run statistical analyses because you will always have access to this library of step-by-step instructions and interpretations.
Sort cases and variables to understand your data better.
Compute subscale summed scores and total measure scores.
How and why to recode into different and same variables.
Determine the quality of your data for reporting.
How and why to reverse score items before conducting analyses.
Dealing with missing data and replacing missing values
Identifying unusual cases and outliers before conducting analyses.
Understanding the correct time to weight cases.
Why this course?
This 13-hour course includes all you will ever need to analyze data with SPSS, to understand the outputs, and to produce quality work so you can finish your work sooner.
Analyses
Learn how to do many analyses including several t-tests, regressions, ANOVAs, factor analysis, correlations and more.
Assumptions
Learn how to check assumptions such as homogeneity of variance, skewness and kurtosis, and more.
Writing results
Learn to write up your results formally and properly, including regressions, ANOVAs and more.
Course files
Dozens of data and output files are included with the course, in addition to many other downloadable resources to help with your learning.
save time
You will have all content in one easy-to-access location. No need to search many places to get information quickly. And learn how to do it correctly the first time.
Bonus materials
Students receive several of my most popular research guides. See below for details.
Dr. Todd Bottom
My mission is to save you days and weeks of wasted time trying to navigate the complexities of academia and academic research.
By academic training I am a Community Psychologist, earning my Ph.D. from DePaul University in Chicago in 2014. I published several peer-reviewed research articles during my doctoral studies, and one even before beginning graduate school.
I have worked in research and academics since 2007 and taught university psychology and statistics courses at DePaul University for three years. More recently I worked in college institutional research and for a pharma research consulting firm. In 2018 I founded Research Learning Center, where I offer my knowledge and skills to help people just like you to produce better research and writing so that they can graduate sooner.
As of January 2021 my students include over 2,000 ambitious learners just like you from over 100 countries who speak 28 native languages. I am thrilled to offer you these high-quality courses and look forward to having you as a student and being part of your research success. Have questions before you get started? Email me at todd@ResearchLearning.Center.
Bonus Material
All students who enroll in the SPSS Advanced Course will also receive four or my most popular guides.
It includes over 100 pages of information to help you be the best researcher possible.
Integrating theory and statistics is extremely difficult for most graduate students. With this guide you will not have that problem.
Learn the most common academic writing mistakes that students make. this guide will show you what they are, and how to correct them so you can write like a professional.
This 60+ page guide will inform you about the entire dissertation manuscript from Chapter 1 through the conclusion. Also includes information about the defense process.
This guide walks students through the entire dissertation research process, from selecting a topic to preparing the proposal, and even selecting participants and collecting data.