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Analyzing Repeated Measures Data: ANOVA and Mixed Model Approaches - The Analysis Institute
http://theanalysisinstitute.com/repeated-measures
Analyzing Repeated Measures Data: ANOVA and Mixed Model Approaches. There are three main approaches to analyzing repeated measures data–the multivariate GLM approach, the marginal model approach, and the mixed model approach. You’ve probably heard of at least two of these, and actually used one or two. Maybe all three. Each one has advantages and disadvantages. Each one has certain repeated measures designs that it works well for, and certain designs it does not. But that’s hard–really hard. The math get...
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Measures of Predictive Models: Sensitivity and Specificity
http://www.theanalysisfactor.com/sensitivity-and-specificity
Statistically Speaking Membership Program. Measures of Predictive Models: Sensitivity and Specificity. Not too long ago, I was in Syracuse for a family trip to the zoo. Syracuse is about 60 miles from where I live and it has a very nice little zoo. This year was particularly exciting because a Trader Joe’s just opened in Syracuse. We don’t have one where we live (sadly! So we always stock up on our favorite specialty groceries when we’re near a Trader Joe’s. Measuring Accuracy of Model Predictions. Accur...
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Regression Models for Count Data
http://www.theanalysisfactor.com/regression-models-for-count-data
Statistically Speaking Membership Program. Regression Models for Count Data. A negative binomial model proved to fit well for the domestic violence data described above. Because the majority of individuals in the data set perpetrated 0 times, but a few individuals perpetrated many times, the variance was over 6 times larger than the mean. Therefore, the negative binomial model was clearly more appropriate than the Poisson. Tagged as: Count data. Comments… read them below or add one. Davies, South Africa.
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Ebooks - The Analysis Institute
http://theanalysisinstitute.com/ebooks
If you find you learn better by reading, or want a searchable reference in which you can easily look up an answer, Ebooks are for you. Interpreting Linear Regression Coefficients Workshop Transcript. How to Use Full Information Maximum Likelihood in AMOS to Analyze Regression Models with Missing Data. Statistically Speaking (Online Membership Program). The Craft of Statistical Analysis Webinars. Audio and Video Recordings. Contact-form-7 404 "Not Found"].
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On Demand Workshops - The Analysis Institute
http://theanalysisinstitute.com/on-demand-workshops
Workshops have the added convenience of being able to do them whenever you want. Each On Demand workshop includes the full content of an online workshop (e.g., data, coding examples, readings, and other downloadable files) with Karen’s online instruction delivered as streaming videos that you can watch at your convenience. All enrollments are for one year. The Bundle Package: All 6 workshops for $497. That’s a savings of $285! Assumptions of Linear Models. SPSS, SAS, Stata, R. Upon completing this worksh...
theanalysisinstitute.com
On Demand Workshop: Interpreting (Even Tricky) Regression Coeffcients - The Analysis Institute
http://theanalysisinstitute.com/on-demand-workshop-irc
On Demand Workshop: Interpreting (Even Tricky) Regression Coeffcients. When you understand Linear Regression Coefficients for all types of Predictor Variables Dummy Variables, Interactions, Quadratic, Centered and Standardized Variables you can build more sophisticated and accurate models and easily translate your findings into meaningful results. Have you ever gotten frustrated trying to build a model that answers your research question? Or just felt uncomfortable writing up regression or ANCOVA results?
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Join Our Advance Discount List & Save 20% or More on Live Workshops & New Offerings - The Analysis Institute
http://theanalysisinstitute.com/advance-discount
Join Our Advance Discount List & Save 20% or More on Live Workshops & New Offerings. Whenever we open a new workshop or offer a new ebook or webinar video recording, we’ll send an announcement to the Advance Discount List a few days before it’s open to the public. You’ll get first dibs and for a limited time, a discount. As you may have noticed, we love creating new statistical training programs. And we want to make them accessible to people who are really interested. So this is how it works. Most of our...
theanalysisinstitute.com
The Analysis Institute Workshop Center
http://www.theanalysisinstitute.com/workshopcenter
The Analysis Institute Workshop Center. Welcome to The Analysis Institute workshops. You should see the list of workshops in which you are currently enrolled in the right hand sidebar. Just click on the name of each workshop to get started. Everything you need is there. Note: The Statistically Speaking (formerly Data Analysis Brown Bag) website. If anything doesn’t work or make sense at any point, just let us know using the Customer Support form. It’s the best way to get an answer quickly.
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Online Membership: The Data Analysis Brown Bag - The Analysis Institute
http://theanalysisinstitute.com/data-analysis-brown-bag
Online Membership: The Data Analysis Brown Bag. Do you ever feel stuck with some statistical issue and feel like you have no place to turn? Try searching the internet, but it can be hard to tell if the information is good. Spend a few days in the library, and hopefully you can piece together what you find in such a way that it applies to your analysis. Or you can join The Data Analysis Brown Bag. This Month’s Live Topic Webinar (August 24, 2016):. Small Sample Statistics with Audrey Schnell. August 2015:...
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Live Online Workshops - The Analysis Institute
http://theanalysisinstitute.com/online-workshops
Analyzing Repeated Measures Data: ANOVA and Mixed Model Approaches. SPSS, SAS, R, Stata. Now Enrolling (begins September 15, 2016). Introduction to Data Analysis with Stata. Now Enrolling (begins October 4, 2016). Logistic Regression for Binary, Ordinal, and Multinomial Outcomes. SPSS, SAS, Stata. Linear Models in Stata. Managing Data and Optimizing Output in Stata: Taking Your Stata Skills to a Higher Level. Linear Models in R: Regression, ANOVA, and Extensions. E Manolo Romero Escobar.