$37.00 USD

Every month

Your payment information will be stored on a secure server for future purchases
Change payment method
I agree to the billing terms - Monthly Subscription
By making this purchase, I understand I am enrolling into a membership where I will be charged $37 monthly. I understand that the monthly membership fee is non-refundable and that it is my responsibility to self-cancel this membership from the homepage if I wish to discontinue it.
 
I consent to receive emails related to SPSSVideoTutor.com tutorials, offers, lost passwords, and updates. I also agree that I will not share any links, videos, or materials associated with this purchase with anyone. I also affirm that the materials and video trainings I purchase are for my sole use only and will not be shared in any group or classroom settings. I understand that any violation of this agreement and the copyright protections of this material could bring substantial penalties and fines.

Email Questions Add-on

With this $10 monthly add-on, VIP members can pose up to 10 questions per month via email. We will answer your questions about SPSS, Statistics, Research, and your doctoral dissertation.

SPSSVideoTutor VIP Membership

As a VIP Member, you'll get the following:

  • Monthly access to all my SPSS video tutorials
  • Monthly access to my SPSS level 1, level 2, and level 3 Data Analysis Workshops
  • Monthly access to all my R video tutorials
  • Monthly access to all my Statistics video tutorials
  • Access to all new SPSS, R, and Statistics videos that I create and post in the future
  • And for an additional $10/month (total $47/month), VIP members can pose up to 10 questions per month to me via email.
  • Questions can be related to SPSS, Statistics, Research, and your doctoral dissertation.

The video trainings VIP members have access to are below:

Basic SPSS Video Tutorials

1.     1a - Introduction to SPSS
2.     1b - Introduction to Syntax
3.     2a - Input Data Manually
4.     2b - Import Text
5.     2c - Import Excel
6.     3a - Recode and Compute
7.     3b - Convert String to Numeric Variables
8.     3c - Computing Z-scores
9.     4 - Descriptive Statistics
10.   5a - Histograms
11.   5b - Scatterplots
12.   5c - Boxplot
13.   5d - Bar Chart
14.   6a - One-Sample T-Test*
15.   6b - Independent Samples T-Test*
16.   6c - Dependent Samples T-Test*
17.   6d - One-Way ANOVA*
18.   6e - Two-way ANOVA
19.   6f- Repeated Measures ANOVA
20.   6g - Mixed-Design ANOVA
21.   7a - Bivariate Correlation*
22.   7b - Partial Correlation
23.   7c - Multiple Linear Regression*
24.   7d - Logistic Regression*
25.   7e - Reliability Analysis (Chronbach’s Alpha & Split-Half Reliability Test) *
26.   8a - Chi-Square Test of Goodness of Fit
27.   8b - Chi-Square Test of Independence
28.   8c - Mann-Whitney U Test
29.   8d - Kruskal-Wallis Test
30.   8e- Wilcoxon Test
31.   8f - Spearman Rank Order Correlation
32.   8g - Friedman's ANOVA

Data Analysis Workshop - Level 1

Day 1: How to select the correct statistical tests
Day 2: How to check data for errors and missing values
Day 3: How to recode variables (reverse coding and/or recoding into a new variable)
Day 4: How to compute new variables (ex. composite scores, survey scales, and sub-scales)
Day 5: How to perform descriptive statistics and reliability analysis (Cronbach's alpha)
Day 5: How to perform tests of parametric assumptions
Day 6: How to perform and interpret statistical tests – part 1
Day 7: How to perform and interpret statistical tests – part 1

Data Analysis Workshop - Level 2

Day 1: Independent Samples T-Test*
Day 2: One-way ANOVA*
Day 3: Factorial ANOVA*
Day 4: Analysis of Covariance (ANCOVA)*
Day 5: Multi-Analysis of Variance (MANOVA)*
Day 6: Dependent Samples T-Test*
Day 7: Repeated Measures ANOVA*
Day 8: Mixed Design ANOVA*
Day 9: Bivariate Correlation*
Day 10: Multiple Regression*
Day 11: Hierarchical Multiple Regression*
Day 12: Binomial Logistic Regression*
Day 13: Exploratory Factor Analysis*
Day 14: Chi-square: Goodness of Fit and Test of Independence*
Day 15: Kaplan Meier Survival Analysis*

Data Analysis Workshop - Level 3

Day 1: Hierarchical Linear Regression
Day 2: Stepwise Linear Regression
Day 1: Hierarchical Logistic Regression
Day 2: Stepwise Logistic Regression
Day 5: Moderation Analysis
Day 6: Simple Mediation Analysis
Day 7: Parallel Mediation Analysis
Day 8: Sequential Mediation Analysis
Day 9: Moderated Mediation Analysis
Day 10: Mixed Effect Regression

Crash Course in Statistics

1.     Populations and Samples
2.     Measures of Central Tendency
3.     Frequency Distributions
4.     Measures of Dispersion
5.     The Normal Distribution
6.     The Central Limit Theorem
7.     Confidence Intervals

R Statistics Tutorials

1.     How to install R
2.     One-sample t-test
3.     Independent samples t-test
4.     Dependent samples t-test
5.     One-way ANOVA
6.     2-way and 3-way ANOVA
7.     Propensity score matching

Advanced SPSS Tutorials

1.     Multinomial Logistic Regress
2.     Multi-Level Modeling
3.     Cluster Analysis
4.     Discriminant Analysis
5.     Canonical Correlation
6.     Decision Tree Analysis
7.     Artificial Neural Networks
8.     Structural Equation Modeling
9.     Conjoint Analysis