Tuesday, December 06, 2016

Big data in psychology: Special issue of Psychological Methods

I just learned of this special issue in Psychological Methods.  I am looking forward to reading many of the articles as the idea of "big data" analysis in psychology is important.  I am particularly looking forward to reading the article co-authored by Jack McArdle on SEM trees.  I am not sure I will understand it, but I know Jack does tremendous work.  He was the first person to introduce me to SEM methods many years ago (during the WJ-R project; he taught me SEM, very gently, with a program called COSAN..and then I graduated to LISREL), and he was an awesome teacher---he could make complex stat methods conceptually clear.  I also then learned of decision-tree methods (CART, MAR) from Jack, and believe they should be used more in psychological research.  This PM issue should be well received by the quantoid readers of this blog.

 

Update -- Psychological Methods - Volume 21, Issue 4

A new issue is available for the following APA journal:


Big data in psychology: Introduction to the special issue.
Page 447-457
Harlow, Lisa L.; Oswald, Frederick L.

A practical guide to big data research in psychology.
Page 458-474
Chen, Eric Evan; Wojcik, Sean P.

A primer on theory-driven web scraping: Automatic extraction of big data from the Internet for use in psychological research.
Page 475-492
Landers, Richard N.; Brusso, Robert C.; Cavanaugh, Katelyn J.; Collmus, Andrew B.

Mining big data to extract patterns and predict real-life outcomes.
Page 493-506
Kosinski, Michal; Wang, Yilun; Lakkaraju, Himabindu; Leskovec, Jure

Gaining insights from social media language: Methodologies and challenges.
Page 507-525
Kern, Margaret L.; Park, Gregory; Eichstaedt, Johannes C.; Schwartz, H. Andrew; Sap, Maarten; Smith, Laura K.; Ungar, Lyle H.

Tweeting negative emotion: An investigation of Twitter data in the aftermath of violence on college campuses.
Page 526-541
Jones, Nickolas M.; Wojcik, Sean P.; Sweeting, Josiah; Silver, Roxane Cohen


Theory-guided exploration with structural equation model forests.
Page 566-582
Brandmaier, Andreas M.; Prindle, John J.; McArdle, John J.; Lindenberger, Ulman

Finding structure in data using multivariate tree boosting.
Page 583-602
Miller, Patrick J.; Lubke, Gitta H.; McArtor, Daniel B.; Bergeman, C. S.

Statistical learning theory for high dimensional prediction: Application to criterion-keyed scale development.
Page 603-620
Chapman, Benjamin P.; Weiss, Alexander; Duberstein, Paul R.

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Monday, December 05, 2016

Human intelligence research four-levels of explanation: Connecting the dots - an Oldie-But-Goodie (OBG) post

Click on image to enlarge.

Research that falls under the breadth of the topic of human intelligence is extensive.

For decades I have attempted to keep abreast with intelligence-related research, particularly research that would help with the development, analysis, and interpretation of applied intelligence tests.   I frequently struggled with integrating research that focused on brain-behavior relations or networks, neural efficiency, etc.  I then rediscovered a simple three-level categorization of intelligence research by Earl Hunt.  I modified it into a four-level model, and the model is represented in the figure above.

In this "intelligent" testing series, primary emphasis will be on harnessing information from the top "psychometric level" of research to aid in test interpretation.  However, given the increased impact of cognitive neuropsychological research on test development, often one must turn to level 2 (information processing) to understand how to interpret specific tests.

This series will draw primarily from the first two levels, although there may be times were I import knowledge from the two brain-related levels.

To better understand this framework, and put the forthcoming information in this series in proper perspective, I would urge you to view the "connecting the dots" video PPT that I previously posted at this blog.

Here it is.  The next post will start into the psychometric level information that serves as the primary foundation of "intelligent" intelligence testing.



Saturday, December 03, 2016

Research Byte: Expertise and individual differences: the search for the structure and acquisition of experts’ superior performance via BrowZine

Expertise and individual differences: the search for the structure and acquisition of experts' superior performance
Ericsson, K. Anders
Wiley Interdisciplinary Reviews: Cognitive Science: Articles in press



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Research Bytes: Individual differences in human brain development via BrowZine

Individual differences in human brain development
Brown, Timothy T.
Wiley Interdisciplinary Reviews: Cognitive Science: Articles in press



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Research Bytes: What is the Flynn Effect, and how does it change our understanding of IQ? via BrowZine

What is the Flynn Effect, and how does it change our understanding of IQ?
Shenk, David
Wiley Interdisciplinary Reviews: Cognitive Science: Articles in press



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Princeton-led team finds new method to improve predictions

For my quant readers.

Princeton-led team finds new method to improve predictions

Researchers at Princeton, Columbia and Harvard have created a new method to analyze big data that better predicts outcomes in health care,…

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Wednesday, November 30, 2016

Special issue of brain-based mental timing: Current Opinion in Behavioral Sciences

All I can say is WOW!!! I stumbled across this treasure chest of diverse state-of-the art research that clearly demonstrates the rich multi-disciplinary focus of research on the human brain clock or temporal processing. Over 40 articles by many of the top notch scholars in this historically old and ever increasing area of active research.

I would be fooling myself if I said I will find time to read all of these articles..let alone just a handful. Instead, I have provided a table of contents so readers can review the various topics covered. I have stashed it away on my hard drive for ready reference when needed.

Also, given my love for good visual-graphic representation of models and processes, I have selected a handful of some of the more understandable figures from across the articles....trust me, there are MANY figures scattered across this issue and many are very complex and detailed. I have only selected those that might inform readers of some ideas via relatively "simple" figures (they belong in my "Gv hall of fame gallery").

So much to read, so little "time"

Click on images to enlarge






















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Tuesday, November 29, 2016

Research Bytes: The Relation Between Intellectual Functioning and Adaptive Behavior in the Diagnosis of Intellectual Disability via BrowZine

The Relation Between Intellectual Functioning and Adaptive Behavior in the Diagnosis of Intellectual Disability
Tassé, Marc J.; Luckasson, Ruth; Schalock, Robert L.
Intellectual and Developmental Disabilities: Vol. 54 Issue 6 – 2016: 381 - 390

10.1352/1934-9556-54.6.381

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Monday, November 28, 2016

Video: James Kaufman - What Can Neuroscience Offer the Study of Creativity?


James Kaufman - What Can Neuroscience Offer the Study of Creativity?
https://www.youtube.com/watch?v=0QJS5qSbT9Q

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Texas Death Case Tests Standards For Defining Intellectual Disability

The case of Moore is getting lots of media attention

Texas Death Case Tests Standards For Defining Intellectual Disability

From NPR on Flipboard

Enlarge this image The U.S. Supreme Court on Tuesday hears a case that questions intellectual disabilities and the death penalty —…

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#whatWM? A digital event celebrating the 9 lives of working...

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