Article: Why expert performance is special and cannot be extrapolated from studies of performance in the general population: A response to criticisms

Why expert performance is special and cannot be extrapolated from studies of performance in the general population: A response to criticisms
http://www.sciencedirect.com/science/article/pii/S0160289613001736

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Sharing EXAMINER ERRORS ON THE REYNOLDS INTELLECTUAL ASSESSMENT SCALES COMMITTED BY GRADUATE STUDENT EXAMINERS via BrowZine

EXAMINER ERRORS ON THE REYNOLDS INTELLECTUAL ASSESSMENT SCALES COMMITTED BY GRADUATE STUDENT EXAMINERS
Loe, Scott A.
Psychology in the Schools, Vol. 51 Issue 1 – 2014: 97 - 106

10.1002/pits.21738

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Sharing JOINT CONFIRMATORY FACTOR ANALYSIS OF THE WOODCOCK-JOHNSON TESTS OF COGNITIVE ABILITIES, THIRD EDITION, AND THE STANFORD-BINET INTELLIGENCE SCALES, FIFTH EDITION, WITH A PRESCHOOL POPULATION via BrowZine

JOINT CONFIRMATORY FACTOR ANALYSIS OF THE WOODCOCK-JOHNSON TESTS OF COGNITIVE ABILITIES, THIRD EDITION, AND THE STANFORD-BINET INTELLIGENCE SCALES, FIFTH EDITION, WITH A PRESCHOOL POPULATION
Chang, Mei; Paulson, Sharon E.; Finch, W. Holmes; Mcintosh, David E.; Rothlisberg, Barbara A.
Psychology in the Schools, Vol. 51 Issue 1 – 2014: 32 - 57

10.1002/pits.21734

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Sharing Combining Decision Trees and Stochastic Curtailment for Assessment Length Reduction of Test Batteries Used for Classification via BrowZine

Combining Decision Trees and Stochastic Curtailment for Assessment Length Reduction of Test Batteries Used for Classification
Fokkema, M.; Smits, N.; Kelderman, H.; Carlier, I. V. E.; van Hemert, A. M.
Applied Psychological Measurement, Vol. 38 Issue 1 – 2014: 3 - 17

10.1177/0146621613494466

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Sharing Dynamic mutualism versus g factor theory: An empirical test via BrowZine

Dynamic mutualism versus g factor theory: An empirical test
Gignac, Gilles E.
Intelligence, Vol. 42 – 2014: 89 - 97

10.1016/j.intell.2013.11.004

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Sharing State IQ, well-being and racial composition as predictors of U.S. presidential election outcomes via BrowZine

State IQ, well-being and racial composition as predictors of U.S. presidential election outcomes
Pesta, Bryan J.; McDaniel, Michael A.
Intelligence, Vol. 42 – 2014: 107 - 114

10.1016/j.intell.2013.11.006

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Sharing Cognitive enhancement via BrowZine

Cognitive enhancement
Farah, Martha J.; Smith, M. Elizabeth; Ilieva, Irena; Hamilton, Roy H.
Wiley Interdisciplinary Reviews: Cognitive Science, Vol. 5 Issue 1 – 2014: 95 - 103

10.1002/wcs.1250

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Research byte: Restless mind--restless body. More on mind wandering

Click on image to enlarge

 

 

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Notes from “The Filter Bubble” by Eli Pariser---impotance of serendipity

December 24, 2013

3 - The Adderall Society

The word serendipity originates with the fairy tale "The Three Princes of Serendip," who are continually setting out in search of one thing and finding another. In what researchers call the evolutionary view of innovation, this element of random chance isn't just fortuitous, it's necessary. Innovation requires serendipity.

All Excerpts From

The Filter Bubble Eli Pariser Category: Engineering 30 Ratings

******************************************************

Kevin McGrew, PhD

Educational Psychologist

Director, Institute for Applied Psychometrics

IAP

www.themindhub.com

******************************************************

Notes from “The Filter Bubble” by Eli Pariser

December 24, 2013

3 - The Adderall Society

Why? Experts have a lot invested in the theories they've developed to explain the world. And after a few years of working on them, they tend to see them everywhere. For example, bullish stock analysts banking on rosy financial scenarios were unable to identify the housing bubble that nearly bankrupted the economy—even though the trends that drove it were pretty clear to anyone looking. It's not just that experts are vulnerable to confirmation bias—it's that they're especially vulnerable to it.

All Excerpts From

The Filter Bubble Eli Pariser Category: Engineering 30 Ratings

******************************************************

Kevin McGrew, PhD

Educational Psychologist

Director, Institute for Applied Psychometrics

IAP

www.themindhub.com

******************************************************

Happy Holidays from the blogmaster

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SCOTUS Hall v Florida Atkins ID update: Petitioners and Amicus Briefs--major focus on IQ "bright line" and SEM

The Atkins MR/ID case of Hall v Florida, which is to be heard by SCOTUS this spring, had two mportant briefs posted within the last week.

The Hall v Florida petition was filed Dec 16. Today, an Amicus Brief was filed by a number of organizations, led by the American Psychological Association.
Click here for a variety of posts re: Atkins cases in Flordia, which have been problematic due to the Florida "Cherry court" establishment of a "bright line" score of 70, with no consiseration of the standard error of measurement (SEM)

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Sharing Working memory and musical competence of musicians and non-musicians via BrowZine

Working memory and musical competence of musicians and non-musicians
Hansen, M.; Wallentin, M.; Vuust, P.
Psychology of Music, Vol. 41 Issue 6 – 2013: 779 - 793

10.1177/0305735612452186

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Sharing Non-parametric estimation of data dimensionality prior to data compression: the case of the human development index via BrowZine

Non-parametric estimation of data dimensionality prior to data compression: the case of the human development index
Canning, David; French, Declan; Moore, Michael
Journal of Applied Statistics, Vol. 40 Issue 9 – 2013: 1853 - 1863

10.1080/02664763.2013.798629

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Sharing The cognitive structure of time estimation impairments in adults with attention deficit hyperactivity disorder via BrowZine

The cognitive structure of time estimation impairments in adults with attention deficit hyperactivity disorder
Suarez, Isabel; Lopera, Francisco; Pineda, David; Casini, Laurence
Cognitive Neuropsychology, Vol. 30 Issue 4 – 2013: 195 - 207

10.1080/02643294.2013.842548

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Sharing Children's attitudes towards ADHD, depression and learning disabilities via BrowZine

Children's attitudes towards ADHD, depression and learning disabilities
Bellanca, Faye Francesca; Pote, Helen
Journal of Research in Special Educational Needs, Vol. 13 Issue 4 – 2013: 234 - 241

10.1111/j.1471-3802.2012.01263.x

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Sharing Obtaining Diagnostic Classification Model Estimates Using Mplus via BrowZine

Obtaining Diagnostic Classification Model Estimates Using Mplus
Templin, Jonathan; Hoffman, Lesa
Educational Measurement: Issues and Practice, Vol. 32 Issue 2 – 2013: 37 - 50

10.1111/emip.12010

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Gv Gallery Hall of Fame: Bootstrap resampling

Here is my simplified Gv explanation of the statistical procedure called bootstrap resampling. You can read the text about it in a special ASB for the WJ III NU. Click on image to enlarge.

 

 

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Gv Gallery Hall of Fame: Biopsychosocial model

I love great visual figures/schamatics that explain constructs, models, phenomena, etc., in one image. I have posted many over the years and will continue to do so. I am now going to label them "Gv Gallery Hall of Fame" posts. For those unfamiliar with the CHC model of intelligence, Gv stands for the broad domain of visual-spatial cognitive ability. Here is another gem I found will skimming an article

 

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Standardized Achievement Tests: What Are They Good For? Hint: Not Cognitive Ability. [feedly]

 
 

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Standardized Achievement Tests: What Are They Good For? Hint: Not Cognitive Ability.

It's well known that good standardized test takers also tend to have high cognitive ability . That's not a shocker. [More]

-- Read more on ScientificAmerican.com

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Brain Fitness with Alvaro Fernandez (BSP 100) brainsciencepodcast.com  •  Alvaro Fernandez of SharpBrainsI have been using the SharpBrains website as a source of information and ideas since the early days of my Brain Science Podcast, so it seemed fitting to invite SharpBrains co-founder Alvaro Fernandez... Sent from Flipboard, your personal magazine—a single place to discover and share the news you care about. On Mobile and have a Flipboard account? Open this in the app

Scientific data lost at alarming rate ubc.ca  •  Eighty per cent of sci­en­tif­ic data are lost with­in two decades, accord­ing to a new UBC study that tracks the acces­si­bil­i­ty of data over time. Sent from Flipboard, your personal magazine—a single place to discover and share the news you care about. On Mobile and have a Flipboard account? Open this in the app

"Sentencing Juveniles: Eliminate the Bright-Line Rule of Majority" [feedly]

 
 

Shared via feedly // published on Sentencing Law and Policy // visit site

"Sentencing Juveniles: Eliminate the Bright-Line Rule of Majority"

The title of this post is the title of this new article by Katie Ryan Van Camp just now appearing on SSRN. Here is the abstract:

The United States Supreme Court's often stated view that "death is different" has led to a line of decisions in which the Court carved out categorical Eighth Amendment exceptions for certain groups.  These cases hold that courts should not give the death penalty to individuals within those groups.  In Atkins v. Virginia, for example, the leading case within the "death is different" line, the Court held that the death penalty was not an appropriate punishment for mentally retarded offenders because it constituted cruel and unusual punishment in violation of the Eighth Amendment.  The Court continued to carve out exceptions for certain groups including juveniles.

Then the Court's view regarding the Eighth Amendment's prohibition against cruel and unusual punishment evolved.  No longer was "death" the only "different;" now, juveniles could be considered "different."  Following Roper, in which the Court held that sentencing juveniles — those under the age of eighteen — to death constituted cruel and unusual punishment in violation of the Eighth Amendment, a line of cases emerged in which the Court continued to carve out more exceptions for juveniles.

In each of these landmark decisions, the Court has found that to be considered a juvenile, the individual must be under the age of majority.  As found in Roper, and consistently followed in the other decisions within this line of cases, the age of majority is eighteen. Although the Court acknowledged that there are some juveniles under the age of majority who have attained a level of maturity "some adults will never reach" and "the qualities that distinguish juveniles from adults do not disappear when an individual turns 18," the Court drew a line.  Thus, the age of majority is a bright-line rule.

Heeding the Court's own words, it should recognize that juveniles who are aged seventeen and those aged eighteen arguably are no different.  Research also suggests this to be true. This article argues, therefore, that because of the uncertainty surrounding "juvenile" brain development and because the bright-line rule of majority prevents courts from determining if an individual under the age of eighteen, the age of majority, has the requisite culpability deserving of the categorically excluded punishments, the Court should eliminate the bright-line rule of majority.  Further, although the majority of juveniles should not receive certain categorically excluded harsh punishments, a few should still receive those punishments, and it should be an option for all.

Part I of this article serves as background on the bright-line rule of majority and its application in "juveniles are different" cases.  Part II of this article argues that the Court should eliminate the bright-line rule of majority.  Part III of this article proposes a solution to the bright-line rule problem; that is, a case-by-case analysis should decide cases involving juveniles with age being another sentencing factor considered.  Age will thus act as an aggravating or mitigating factor in the sentencing phase of the criminal proceeding. Finally, Part IV of this article explains why a case-by-case analysis considering age as a sentencing factor is better than a bright-line rule of majority and addresses the potential counter-arguments to this proposal.

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Title Correction: Determining Intellectual Disability in the Courts: Focus on Capital Cases

12-20-13 Correction note:  The title listed at the AAIDD web page differs from the official title for this guide as submitted by the editor of this volume, and agree upon by the contributors.  The current title, and expected publication title, is:

 Determining Intellectual Disability in the Courts:  Focus on Capital Cases


The Death Penalty and Intellectual Disability: A Guide is now listed as a forthcomming publication at the AAIDD publications web page. A brief description from that page follows below

In the 2002 landmark decision Atkins v. Virginia 536 U.S. 304, the Supreme Court of the United States ruled that executing a person with intellectual disability is a violation of the Eighth Amendment of the U.S. Constitution, which prohibits “cruel and unusual punishment,” but left states to determine their own criteria for intellectual disability. AAIDD has always advocated against the death penalty for people with intellectual disability and has long provided amicus curiae briefs in Supreme Court cases. Thus, in this comprehensive new book published by AAIDD, notable authors in the field of intellectual disability discuss all aspects of the issues, with a particular focus on foundational considerations, assessment factors and issues, and professional concerns in Atkins assessments.

The projected publication is sometime this spring.

Conflict of interest statement: I am the author of two of the chapters:

-Intellectual Functioning: Conceptual Issues
-Norm Obsolescence: The Flynn Effect


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Brain Jump with Ned the Neuron for iPhone, iPad, and iPod to...

Brain Jump with Ned the Neuron for iPhone, iPad, and iPod touch on the iTunes App Store Sent from Flipboard, your personal magazine—a single place to discover and share the news you care about. On Mobile and have a Flipboard account? Open this in the app

Journal Intelligence--Special Issue on the Flynn Effect

Web of Knowledge Table of Contents Alert

Journal Name: INTELLIGENCE (ISSN: 0160-2896)
Issue: Vol. 41 No. 6, 2013
IDS#: 263KK
Alert Expires: 10 JAN 2014
Number of Articles in Issue: 13 (13 included in this e-mail)
Organization ID: c4f3d919329a46768459d3e35b8102e6
========================================================================
Note: Instructions on how to purchase the full text of an article and Thomson Reuters Science Contact information are at the end of the e-mail.
========================================================================


*Pages: 751-752 (Editorial Material)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300001
*Order Full Text [ ]

Title:
Special Issue The Flynn Effect Re-Evaluated

Authors:
Thompson, J

Source:
*INTELLIGENCE*, 41 (6):751-752; SI NOV-DEC 2013 

========================================================================


*Pages: 753-764 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300002
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Title:
Overview of the Flynn effect

Authors:
Williams, RL

Source:
*INTELLIGENCE*, 41 (6):753-764; SI NOV-DEC 2013 

Abstract:
Following WW2, various researchers found and reported secular gains in
IQ but it was not until additional reports appeared in the 1980s that
researchers began to look for the cause or causes. It was quickly
apparent that the gains were not limited to any group or nation, but the
manifestation of the gains was different depending on time and place.
For every discovery, there was a different or opposite result in a
different data set. Gains have been large, small, variable, and even
negative. Some researchers have found that the gains were on g, while
more have found no g loading. Abstract test formats, such as the Raven
have often shown the greatest gains, but gains have also appeared in
tests of crystallized intelligence. Some data has shown greater gains
for the lower half of the intelligence distribution, while others have
shown greater gains in the top half, and others have shown equal gains
at all levels. Hypotheses for the causes have included environmental
factors, genetic effects, reduced fertility, and methodological
dependence. Two models are discussed. (C) 2013 Elsevier Inc. All rights
reserved.

========================================================================


*Pages: 765-769 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300003
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Title:
Who discovered the Flynn effect? A review of early studies of the secular increase of intelligence

Authors:
Lynn, R

Source:
*INTELLIGENCE*, 41 (6):765-769; SI NOV-DEC 2013 

Abstract:
Flynn has been credited with having discovered the increase in IQs that
has been reported in a number of countries during most of the twentieth
century and that has come to be known as "the Flynn effect". This paper
documents and discusses a number of reports of increases in IQs that
were published from 1936 onwards before the phenomenon was rediscovered
by Flynn (1984, 1987). These early reports showed that the Flynn effect
is fully present in pre-school children, does not increase during the
school age years, and is greater for non-verbal abilities than for
verbal abilities. (C) 2013 Elsevier Inc. All rights reserved.

========================================================================


*Pages: 770-779 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300004
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Title:
An item-level examination of the Flynn effect on the National Intelligence Test in Estonia

Authors:
Shiu, W; Beaujean, AA; Must, O; te Nijenhuis, J; Must, A

Source:
*INTELLIGENCE*, 41 (6):770-779; SI NOV-DEC 2013 

Abstract:
This study examined the Flynn effect (FE; i.e., the rise in IQ scores
over time) in Estonia using the Estonian version of the National
Intelligence Tests (NIT; Haggerty, Terman, Thorndike, Whipple & Yerkes,
1919; National Research Council, 1920). Using secondary data from two
cohorts (1934, n = 890 and 2006, n = 913) of students, we analyzed the
NIT's subtests using item response theory (IRT). For each subtest, we
first examined invariance in all the items and then linked the latent
variable (theta) scores between the two cohorts using the invariant
items. The results showed that there was a FE in theta for all subtests
except one, although there was much variability in the FE magnitude,
ranging from an effect size of 0.24 (3.60 IQ points) to 1.05 (15.75 IQ
points). In addition, this study showed there was a decrease in the
variability of theta for all the subtests, although only two of the
subtests showed large decreases (approximately .50 standard deviations).
Last, the subtests' precision of measuring theta was very similar at
both time points. (C) 2013 Elsevier Inc. All rights reserved.

========================================================================


*Pages: 780-790 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300005
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Title:
Changes in test-taking patterns over time

Authors:
Must, O; Must, A

Source:
*INTELLIGENCE*, 41 (6):780-790; SI NOV-DEC 2013 

Abstract:
The current study aims to investigate the relationship between right,
wrong and missing answers to cognitive test items (test-taking patterns)
in the context of the Flynn Effect (FE). We compare two cohorts of
Estonian students (1933/36, n = 890; 2006, n = 913) using an Estonian
adaptation of the National Intelligence Tests and document three
simultaneous trends: fewer missing answers (-1 Cohen's d averaged over
subtests), and a rise in the number of right and wrong answers to the
subtests (average ds of .86 and .30, respectively). In the Arithmetical
Reasoning and Vocabulary subtests, adjustments for false-positive
answers (the number of right minus the number of wrong answers) reduced
the size of the Flynn Effect by half. These subtests were supposed to be
high g-loading subtests. Our conclusion is that rapid guessing has risen
over time and influenced tests scores more strongly over the years. The
FE is partly explained by changes in test-taking behavior over time. (C)
2013 Elsevier Inc. All rights reserved.

========================================================================


*Pages: 791-801 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300006
*Order Full Text [ ]

Title:
Item-response theory modeling of IQ gains (the Flynn effect) on crystallized intelligence: Rodgers' hypothesis yes, Brand's hypothesis perhaps

Authors:
Pietschnig, J; Tran, US; Voracek, M

Source:
*INTELLIGENCE*, 41 (6):791-801; SI NOV-DEC 2013 

Abstract:
Potential explanations for generational intelligence test score gains
continue to be subject to intense debate and scrutiny in the scientific
community. However, the explanatory value of some of the proposed causes
remains difficult to determine, since only little empirical evidence is
available. To clarify the role of two scarcely investigated theories
accounting for the Flynn effect, this study set out to examine the role
of changing test-taking behavior (Brand's hypothesis) and of a narrowing
of the IQ ability distribution (Rodgers' hypothesis). Archival records
of crystallized intelligence test performance over a time-span of 17
years of a large number of psychiatric inpatients and outpatients in
Austria were investigated (N = 5445; 1978-94). This sample was
particularly suitable to investigate our hypotheses since participants
were under no pressure to perform which makes observed changes in test
taking behavior attributable to personal style and ability rather than
differential performance in pressure situations. Analytical approaches
of both classical test theory and item response theory (IRT) yielded
gains of 1.0 to 2.4 IQ points per decade. Test-taking behavior
indicative of guessing and decreasing population IQ variability appeared
to contribute both to IQ test score gains. IRT-based analyses showed
that gains were largely preserved when controlling for highest
educational qualification, while the test instrument showed measurement
invariance between cohorts. However, IRT-based results also suggested
that changes in test-taking behavior might not necessarily reflect
increased guessing, but item drift instead. In all, this evidence
emphasizes better performance of individuals of the lower tail of the IQ
ability distribution in more recent years as one important contributing
factor for generational IQ test score gains. (C) 2013 Elsevier Inc. All
rights reserved.

========================================================================


*Pages: 802-807 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300007
*Order Full Text [ ]

Title:
Is the Flynn effect on g?: A meta-analysis

Authors:
te Nijenhuis, J; van der Flier, H

Source:
*INTELLIGENCE*, 41 (6):802-807; SI NOV-DEC 2013 

Abstract:
Black/White differences in mean IQ have been clearly shown to strongly
correlate with g loadings, so large group differences on subtests of
high cognitive complexity and small group differences on subtests of low
cognitive complexity. IQ scores have been increasing over the last half
century, a phenomenon known as the Flynn effect. Flynn effect gains are
predominantly driven by environmental factors. Might these factors also
be responsible for group differences in intelligence? The empirical
studies on whether the pattern of Flynn effect gains is the same as the
pattern of group differences yield conflicting findings. A psychometric
meta-analysis on all studies with seven or more subtests reporting
correlations between g loadings and standardized score gains was carried
out, based on 5 papers, yielding 11 data points (total N = 16,663). It
yielded a true correlation of -.38, and none of the variance between the
studies could be attributed to moderators. It appears that the Flynn
effect and group differences have different causes. Suggestions for
future research are discussed. (C) 2013 Elsevier Inc. All rights
reserved.

========================================================================


*Pages: 808-816 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300008
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Title:
Are cognitive differences between countries diminishing? Evidence from TIMSS and PISA

Authors:
Meisenberg, G; Woodley, MA

Source:
*INTELLIGENCE*, 41 (6):808-816; SI NOV-DEC 2013 

Abstract:
Cognitive ability differences between countries can be large, with
average IQs ranging from approximately 70 in sub-Saharan Africa to 105
in the countries of north-east Asia. A likely reason for the great
magnitude of these differences is the Flynn effect, which massively
raised average IQs in economically advanced countries during the 20th
century. The present study tests the prediction that international IQ
differences are diminishing again because substantial Flynn effects are
now under way in the less developed "low-IQ countries" while
intelligence is stagnating in the economically advanced "high-IQ
countries." The hypothesis is examined with two periodically
administered scholastic assessment programs. TIMSS has tested 8th-grade
students periodically between 1995 and 2011 in mathematics and science,
and PISA has administered tests of mathematics, science and reading
between 2000 and 2009. In both TIMSS and PISA, low-scoring countries
tend to show a rising trend relative to higher-scoring countries.
Despite the short time series of only 9 and 16 years, the results
indicate that differences between high-scoring and low-scoring countries
are diminishing on these scholastic achievement tests. The results
support the prediction that through a combination of substantial Flynn
effects in low-scoring countries and diminished (or even negative) Flynn
effects in high-scoring countries, cognitive differences between
countries are getting smaller on a worldwide scale. (C) 2013 Elsevier
Inc. All rights reserved.

========================================================================


*Pages: 817-820 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300009
*Order Full Text [ ]

Title:
A negative Flynn effect in Finland, 1997-2009

Authors:
Dutton, E; Lynn, R

Source:
*INTELLIGENCE*, 41 (6):817-820; SI NOV-DEC 2013 

Abstract:
The average IQs of approximately 25,000 18-20 year old male military
conscripts in Finland per year are reported for the years 1988 to 2009.
The results showed increases in the scores on tests of Shapes, Number
and Words over the years 1988 to 1997 averaging 4.0 IQ points a decade.
From 1997 to 2009 there were declines in all three tests averaging 2.0
IQ points a decade. (C) 2013 Elsevier Inc. All rights reserved.

========================================================================


*Pages: 821-831 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300010
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Title:
Ability rise in NAEP and narrowing ethnic gaps?

Authors:
Rindermann, H; Thompson, J

Source:
*INTELLIGENCE*, 41 (6):821-831; SI NOV-DEC 2013 

Abstract:
US National Assessment of Educational Progress (NAEP) results from 1971
to 2008 enable four different effects to be distinguished: Cohort rise
effects, gap-narrowing between ethnic groups, trends due to demographic
changes in by NAEP listed or not listed ethnic groups. NAEP means and
percentiles in reading and mathematics were transformed to conventional
IQs and SDs. The total increase from 1971 to 2008 was in the scale of
4.34 IQ points (dec = 1.17 IQ per decade). The ability distribution
became more homogenous (down from SD = 15.00 in 1971 to SD = 13.56 in
2008). Increases were larger for younger students (9-year olds: 2.02 IQ
per decade; 13-year olds: 1.20; 17-year olds: 0.30); larger at the lower
ability level (10th percentile dec = 1.79 vs. 90th percentile dec =
1.03). The largest increase was for Blacks (Whites dec = 1.29 IQ
Hispanics 2.27, Blacks 3.04). White-Hispanic-differences were reduced
from 11.59 to 8.46 IQ White-Black from 16.33 to 9.94 IQ If the racial
composition of the population had not changed, the mean gain for the
17-year-old group would have been 2.47 IQ points higher. Had the gap
between Whites and the two other groups not narrowed, the mean gain
would have been 1.70 IQ points lower. Demographic change has accounted
for a loss of 2.47 IQ points and according to cognitive human capital
theory $2001 GDP per capita per year, but total ethnic gap-narrowing has
provided a gain of $1377. (C) 2013 Elsevier Inc. All rights reserved.

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*Pages: 832-842 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300011
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Title:
Four successful tests of the Cognitive Differentiation-Integration Effort hypothesis

Authors:
Woodley, MA; Figueredo, J; Brown, SD; Ross, KC

Source:
*INTELLIGENCE*, 41 (6):832-842; SI NOV-DEC 2013 

Abstract:
The Cognitive Differentiation-Integration Effort (CD-IE) hypothesis
predicts that the dimension of life history speed (K) regulates the
strength of the correlation among cognitive abilities, such that
individuals with higher K exhibit more weakly integrated abilities than
those with lower K. It is predicted that this effect takes place
independently of the level of g owing to the absence of an individual
differences level correlation between K and g. CD-IE was examined using
two student samples: (I) an all female sample (N = 121), using the ALHB
as a measure of,K and the two SILS subtests of g; and (2) a combined
male and female sample (N = 346), using a shorter three-indicator
("Trifecta") measure of K. a general creativity measure comprised of two
subscales (writing and drawing "creative performance"), and the APM-18
measure of fluid cognition. A third, population-representative sample
was obtained from the NLSY (N = 11,907). A K-Factor was constructed from
convergent measures of subjective well-being, sociability, interpersonal
trust, internal locus of control, and delay of gratification, and a
g-factor was constructed from the 10 subscales of the ASVAB. A fourth
sample, addressing the question of ethnic differences was collected
encompassing eight different ethnic groups with a combined 107 specific
ability correlations with g. An aggregate K-Factor was constructed for
this sample based on convergent population-level indicators of
longevity, total fertility rates and infant mortality. Utilizing the
Continuous Parameter Estimation Model, in student sample I a significant
CD-1E effect was found on the SILS Abstract subtest (beta=-.215), but
not on the SILS Verbal subtest (beta=.069). In student sample 2, CD-IE
was observed on the general creativity measure (beta=-.127), but not on
the fluid cognitive ability measure (beta=-.057). Significant effects
were also observed on both the written and drawing creative output
subscales (beta=-.189 and -.183 respectively). In sample 3 (the NLSY),
generally statistically significant but small-magnitude CD-1E effects
were observed among all 10 ASVAB subtests (mean effect size beta=-.032).
In sample four, a near-significant CD-IE effect was detected
(beta=-.167). Controlling for subtest skew reduces the mean effect sizes
across individual differences samples (beta=-.071 in the student
samples, -.027 in the NLSY), but boosted it to significance in the
ethnic differences sample (beta=-.179). Controlling for the skew of
residuals reversed the signs of the CD-IE effects on the ASVAB Words and
Comprehension subscales, and also on the SILS Verbal subscale, but
amplified the magnitudes of the mean effects in the student and NLSY
samples (beta=-.036 and -.131), while reducing the effect size slightly
in the ethnic-differences sample (beta=-.172). In the individual
differences samples, these effects were demonstrated to be unconfounded
with sex of respondent and also unrelated to the Jensen effect. The
apparent independence of the effect from both level of g and
subtestg-loading suggests intriguing commonalities with the Lynn-Flynn
effect (C) 2013 Elsevier Inc. All rights reserved.

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*Pages: 843-850 (Article)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300012
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Title:
Were the Victorians cleverer than us? The decline in general intelligence estimated from a meta-analysis of the slowing of simple reaction time

Authors:
Woodley, MA; te Nijenhuis, J; Murphy, R

Source:
*INTELLIGENCE*, 41 (6):843-850; SI NOV-DEC 2013 

Abstract:
The Victorian era was marked by an explosion of innovation and genius,
per capita rates of which appear to have declined subsequently. The
presence of dysgenic fertility for IQ amongst Western nations, starting
in the 19th century, suggests that these trends might be related to
declining IQ. This is because high-IQ people are more productive and
more creative. We tested the hypothesis that the Victorians were
cleverer than modern populations, using high-quality instruments, namely
measures of simple visual reaction time in a meta-analytic study. Simple
reaction time measures correlate substantially with measures of general
intelligence (g) and are considered elementary measures of cognition. In
this study we used the data on the secular slowing of simple reaction
time described in a meta-analysis of 14 age-matched studies from Western
countries conducted between 1889 and 2004 to estimate the decline in g
that may have resulted from the presence of dysgenic fertility. Using
psychometric meta-analysis we computed the true correlation between
simple reaction time and g, yielding a decline of -1.16 IQ points per
decade or -13.35 IQ points since Victorian times. These findings
strongly indicate that with respect to g the Victorians were
substantially cleverer than modern Western populations. (C) 2013
Elsevier Inc. All rights reserved.

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*Pages: 851-857 (Editorial Material)
*View Full Record: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=CCC&DestLinkType=FullRecord;KeyUT=CCC:000327807300013
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Title:
The "Flynn Effect" and Flynn's paradox

Authors:
Flynn, JR

Source:
*INTELLIGENCE*, 41 (6):851-857; SI NOV-DEC 2013 

BRAIN Initiative Funding Opportunites at NIH [feedly]

 
 

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BRAIN Initiative Funding Opportunites at NIH

National Institutes of Health (NIH) has finally released detailed descriptions for six separate funding opportunities in support of the BRAIN Initiative. If you're big on cells, circuits, and/or technologies, one of these programs could be for you. NIH hopes to award $40 million by the end of the fiscal year (September 30, 2014). The application deadlines are all in March 2014.

In October, Defense Advanced Research Projects Agency (DARPA) announced that it would spend $70 million over the next five years to develop and improve deep brain stimulation (DBS) techniques. The approaches of the two agencies are quite different, as outlined in this post.

The NIH Director's BRAIN Advisory Committee issued its Interim Report (PDF) on September 16. The report focused on animal models, including improvement of technologies for recording neuronal activity and manipulating circuit function. The new Requests for Applications (RFAs) reflect the high-priority research areas for FY 2014. Here are concise summaries of the new funding opportunities from the White House:

• Generate an inventory of the different types of cell types in the brain
• Develop new tools to analyze the complex circuits that are responsible for brain function by delivering  genes, proteins and chemicals to particular cells
• Develop new approaches to record the activity of large numbers of neurons in any location in the brain, and improve existing technologies so they can be widely adopted by neuroscientists
• Understand large-scale neural circuits by integrating experimental, analytical, and theoretical approaches
• Form teams to develop the next generation of non-invasive imaging technologies

As you can see, Cellular/Molecular and Systems/Circuits neuroscience researchers will benefit the most, along with engineers, physicists, and other technology-development types.

Here are the RFA summaries from NIH:

• Transformative Approaches for Cell-Type Classification in the Brain (RFA-MH-14-215) – aims to pilot classification strategies to generate a systematic inventory/cell census of cell types in the brain, integrating molecular identity of cell types with connectivity, morphology, and location. These pilot projects and methodologies should be designed to demonstrate their utility and scalability to ultimately complete a comprehensive cell census of the human brain.
  
  
• Development and Validation of Novel Tools to Analyze Cell-Specific and Circuit-Specific Processes in the Brain (RFA-MH-14-216) – aims to develop and validate novel tools that possess a high degree of cell-type and/or circuit-level specificity to facilitate the detailed analysis of complex circuits and provide insights into cellular interactions that underlie brain function. A particular emphasis is the development of new genetic and non-genetic tools for delivering genes, proteins and chemicals to cells of interest; new approaches are also expected to target specific cell types and or circuits in the nervous system with greater precision and sensitivity than currently established methods.
  
  
• New Technologies and Novel Approaches for Large-Scale Recording and Modulation in the Nervous System (RFA-NS-14-007) – focuses on development and proof-of-concept testing of new technologies and novel approaches for large scale recording and manipulation of neural activity, with cellular resolution, at multiple spatial and/or temporal scales, in any region and throughout the entire depth of the brain. The proposed research may be high risk, but if successful could profoundly change the course of neuroscience research.
  
  
• Optimization of Transformative Technologies for Large Scale Recording and Modulation in the Nervous System (RFA-NS-14-008) – aims to optimize existing and emerging technologies and approaches that have the potential to address major challenges associated with recording and manipulating neural activity. This FOA is intended for the iterative refinement of emergent technologies and approaches that have already demonstrated their transformative potential through initial proof-of-concept testing, and are appropriate for accelerated engineering development with an end-goal of broad dissemination and incorporation into regular neuroscience research.
  
  
• Integrated Approaches to Understanding Circuit Function in the Nervous System (RFA-NS-14-009) – focuses on exploratory studies that use new and emerging methods for large scale recording and manipulation to elucidate the contributions of dynamic circuit activity to a specific behavioral or neural system. Applications should propose teams of investigators that seek to cross boundaries of interdisciplinary collaboration, for integrated development of experimental, analytic and theoretical capabilities in preparation for a future competition for large-scale awards.
  
  
• Planning for Next Generation Human Brain Imaging (RFA-MH-14-217) – aims to create teams of imaging scientist together with other experts from a range of disciplines such as engineering, material sciences, nanotechnology and computer science, to plan for a new generation of non-invasive imaging techniques that would be used to understand human brain function. Incremental improvements to existing technologies will not be funded under this announcement.

Is this a call for DARPA-lite projects? Or for proposals as far-fetched as calcium imaging in humans? As the RFA explains...

The long-term objective is to develop tools for the precise imaging of molecules, cells, and circuits in the human brain.  Applications submitted in response to this R24 FOA should support the formation and development of interdisciplinary teams that will plan innovative approaches to substantively expand the ways by which brain structure and function can be imaged in humans.  These R24 awards will support planning activities such as meetings, prototype development projects and small scale pilot studies in mammals or humans that would provide proof of principle for transformative approaches to assessing human brain structure and function.  The proposed concepts are expected to be high-risk, high-impact, and disruptive (c.f. C. Christensen "The Innovator's Dilemma", 1997; http://en.wikipedia.org/wiki/Disruptive_innovation).

What might these [post-]BOLD new BRAIN scanners of the future look like? This question was addressed by practiCal fMRI in September:

This week's interim report from the BRAIN Initiative's working group is an opportunity for all of us involved in fMRI to think seriously about our tools. We've come a long way with BOLD contrast to be sure, even though we don't fully understand its origins or its complexities. ...

I can't help but wonder what my fMRI scanner might look like if it was designed specifically for task. Would the polarizing magnet be horizontal or would a subject sit on a chair in a vertical bore? How large would the polarizing magnet be, and what would be its field strength? The gradient set specifications? And finally, if I'm not totally sold on BOLD contrast as my reporting mechanism for neural activity, what sort of signal do I really want? In all cases I am especially interested in why I should prefer one particular answer over the other alternatives.

Note that I'm not suggesting we all dream of voltage-sensitive contrast agents. That's the point of the BRAIN Initiative according to my reading of it. All I'm suggesting is that we spend a few moments considering what we are currently doing, and whether there might be a better way...

Further Reading

DARPA allocates $70 million for improving deep brain stimulation technology

A Tale of Two BRAINS: #BRAINI and DARPA's SUBNETS

New Deep Brain Stimulation System Measures Neurotransmitter Release


Anyone who is awarded one of these #BRAINI grants is free to use this nifty badge on all their promotional materials and publications.

The BRAIN Initiative badge is awarded by President Obama to research supported by his $100 million #BRAINI. This bold new research effort will include advances in nanotechnology and purely exploratory efforts to record from thousands of neurons simultaneously.

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