What is Multilevel Modeling?
Multilevel models are known by several monikers, such as hierarchical linear models, mixed models and…
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Statistics
Random Thoughts on Marketing Research, Statistics and Data Science (July 23, 2018)
My opinions. Nothing more. In statistical modeling, it’s not only what you do but when you…
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Statistics for Funky Data
The Generalized Linear Model is a huge family of methods widely-used by statisticians. It is typically…
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Random Thoughts on Marketing Research, Statistics and Data Science (July 11, 2018)
My opinions. Nothing more. Different AI will find different patterns in the same data, as will…
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A Brief, Non Technical Description of IRT
NOTE: The following was excerpted from Review of Tenko Raykov and George Marcoulides’s A Course…
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Random Thoughts on Marketing Research, Statistics and Data Science (July 3, 2018)
My opinions. Nothing more. Why spend money on marketing research that is faster, cheaper…and cr*ppy? Wouldn’t it…
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Random Thoughts on Marketing Research, Statistics and Data Science (June 12, 2018)
My opinions. Nothing more. What real evidence do we have regarding the effectiveness our organization’s marketing?…
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Why The Book of Why?
UCLA computer scientist Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and…
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A Better Stats 101
Judging from “Stats 101” courses in which we plug numbers into simple formulas, or seminars…
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Random Thoughts for June 1, 2018
Qualitative research is often criticized by quants for being fuzzy and that different moderators/analysts would…
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The Book of Why
UCLA computer scientist Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and…
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Regression Is NOT Easy
Regression is NOT easy – to do competently. Regression is arguably the workhorse of statistics and…
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