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Ned Kock
About Me
I am a researcher, software developer, consultant, and college professor. Two of my main areas of research are nonlinear variance-based structural equation modeling, and evolutionary biology as it applies to the study of human-technology interaction. My degrees are in engineering (B.E.E.), computer science (M.S.), and business (Ph.D.). I am interested in the application of science, statistics, and technology to the understanding of human health and behavior. Here I blog about statistics, and more specifically about nonlinear variance-based structural equation modeling and WarpPLS, the first software to enable this type of analysis. My personal web site contains my contact information and freely available articles related to the topic of this blog: nedkock.com.
Ned Kock on the Web
Copyright
The contents of this blog may be used with proper attribution. Most of the issues covered here are also covered in the latest version of the WarpPLS User Manual. Therefore, you can cite the Manual to refer to issues covered here in this blog.
Acknowledgement
Ned Kock gratefully acknowledges that he regularly consults with the most interesting man in the world, especially in connection with complex mathematical problems.
Interesting Links
- Armin Monecke
- Bradley Efron
- Correlation & Causality - Blog
- Factor Analysis by R.J. Rummel
- Gaston Sanchez
- James E. Gaskin
- Judea Pearl - Publications
- Jörg Henseler - Research
- Overfitting - Wikipedia
- PLS Path Modeling with R (Gaston Sanchez)
- PLS Regression - Wikipedia
- PLS Regression by D. Garson
- PLS-Graph
- PLS-SEM.com
- PLS-School.com
- Ross Ihaka
- SEM - Wikipedia
- SEM by D. Garson
- Sewall Wright - Wikipedia
- SmartPLS
- StatWiki (James E. Gaskin)
- T.K. (Theo) Dijkstra - Research
- VisualPLS
- WarpPLS
- Wolfram Alpha
- Wynne W. Chin
- semPLS: SEM using PLS in R (Armin Monecke)
Labels
- 2D graph (3)
- 3D graph (2)
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- AFVIF (1)
- analytic composite (2)
- ANCOVA (1)
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- Baron and Kenny (2)
- Bayes' theorem (1)
- bitcoin (1)
- bootstrapping (7)
- categorical variable (3)
- categorical-to-numeric conversion (1)
- causality (1)
- causality assessment (2)
- collinearity (8)
- comma-delimited file (1)
- common method bias (7)
- common structural variation reduction (1)
- comparison of means (3)
- composites (6)
- conditional probabilistic queries (3)
- conditional probabilities (1)
- conference (12)
- confidence interval (1)
- consistent PLS (1)
- constrained latent growth (1)
- control variable (5)
- convergent validity (1)
- correlation (4)
- covariance-SEM (2)
- Cronbach’s alpha (1)
- cross-loadings (3)
- data imputation (1)
- data label (2)
- data segmentation (2)
- descriptive statistics (3)
- dichotomous variables (4)
- difference-in-differences (1)
- Dijkstra's consistent PLS (1)
- Dijkstra's PLSc reliability (1)
- Dijkstra's rho_a (2)
- discriminant validity (3)
- distinct observations (3)
- distinct values (1)
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- effect size (1)
- endogeneity (9)
- endogenous dichotomous variables (3)
- endogenous variables (1)
- Excel (2)
- exploratory analysis (1)
- factor reliability (2)
- factor-based PLS (10)
- Factor-based SEM (8)
- factors (6)
- FCVIF (1)
- field research (1)
- field study (1)
- FIMIX-PLS (1)
- fit index (5)
- formative (7)
- formative latent variable (1)
- fractional split (2)
- free questionnaires (1)
- full collinearity variance inflation factors (1)
- full latent growth (6)
- full latent growth coefficients (2)
- gamma-exponential method (1)
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- inverse square root method (1)
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- Nicholas Danks (1)
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- number punctuation (1)
- numeric variable (2)
- numeric-to-categorical conversion (1)
- one group and one condition (1)
- one group and two conditions (1)
- one-tailed (2)
- online training (2)
- outer model (1)
- P value (8)
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- PLS Applications Symposium (17)
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- Preacher and Hayes (1)
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- rho_a (2)
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- SEM (2)
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- structural equation modeling (18)
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- training (29)
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- warppls (104)
- warppls 2.0 (3)
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- XLSTAT incompatibility (1)
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