Tuesday, February 09, 2010

Stephen Greenspan on "60 Minutes" to discuss gullibility

Stephen Greenspan (ANNALS OF GULLIBILITY, Praeger, 2009) is scheduled to appear on a  60 Minute segment scheduled to air on Sun, 2/14 @ 7 pm ET/PT; 6PM Central/ Mtn.  Greenspan has written extensively re: the critical importance of the concept of gullibility as it relates to the definition and identification of individuals with intellectual disabilities/mental retardation (ID/MR).

According to Greenspan, the segment will focus mainly on Ponzi scheme implications, and will not get much or all into other implications, such as criminal justice, cognitive disabilities, Atkins MR death penalty cases, etc.

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Sunday, February 07, 2010

AP101 Brief # 6b supplement: Summaries of Wechsler CHC test classifications

I should have included the following tables in my original AP101 Brief # 6 report re: my analysis of the CHC content of the FS IQ scores for the various editions of the WISC--WIS-IV/WAIS--WAIS-IV intelligence batteries.  Here they are: [double click on images to enlarge]



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Saturday, February 06, 2010

iAbstract: Taste and Go (olfactory) abilities may help diagnose Alzheimers

Silke SteinbachContact Information, Walter Hundt2, Andreas Vaitl3, Petra Heinrich4, Stefan Förster3, Katharina Bürger5 and Thomas Zahnert1

(1) Smell and Taste Clinic, Department of Otorhinolaryngology, Technical University, Fetscherstr. 74, 01307 Dresden, Germany
(2) Department of Clinical Radiology, Ludwig-Maximilians-University, Munich, Germany
(3) Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
(4) Department of Medical Statistics and Epidemiology, Institut für medizinische Statistik und Epidemiologie, Klinikum rechts der Isar, Technische Universitaet Muenchen, Munich, Germany
(5) Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany

Received: 15 February 2009  Revised:27 July 2009  Accepted: 14 August 2009  Published online: 1 September 2009

Abstract  In this prospective study we investigated the quantitative and qualitative taste function of patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD). 29 healthy, elderly subjects, 29 MCI and 30 AD patients were tested using a validated taste test, the "taste strips". Additionally, odor identification, odor discrimination, odor threshold, the mini-mental state examination (MMSE) and Apo E epsilon 4 status were examined. Regarding taste, there was a significant reduction of total taste scores and also the score for individual tastes on either side of the tongue between controls and MCI/AD patients. There was no significant difference in the taste scores between MCI and AD patients. A taste test may be a useful procedure for differentiating between healthy subjects and patients with MCI/AD in a clinical context. For diagnosing MCI versus AD, further tests such as smell test, MMSE, Apo E epsilon 4 status, FDG-PET and MRI appear to be useful.

Keywords  Mild cognitive impairment - Alzheimer's disease - Taste

S. Steinbach and W. Hundt have contributed equally to this work.

Contact InformationSilke Steinbach
Email: Silkesteinbach@hotmail.com

Friday, February 05, 2010

AP101 Brief #6: Understanding Wechsler IQ score differences--the CHC evolution of the Wechsler FS IQ score

[Note.  A typo in the original tables used to construct the WAIS figure below has been fixed.  Visual Puzzles on the WAIS-IV had been incorrectly designated as a measure of Gf----it should have been classified Gv.  This has now been changed and the corresponding text also modified.  Sorry for this error.  Changes in the text are so designated below via the strikeover]

Why do the IQ scores for the same individual often differ?

This question often perplexes both users and recipients of psychological reports. In a previous IAP Applied Psychometrics 101 report (AP101 #1:  Understanding IQ score differences) I discussed general statistical information related to the magnitude and frequency of expected IQ score differences for different tests (as a function of the correlation between tests).  In that report I mentioned the following general categories of possible reasons for IQ score differences/discrepancies.
Factors contributing to significant IQ differences are many, and include: (a) procedural or test administration issues (e.g., scoring errors; improper test administration; malingering; age vs grade norms), (b) test norm or standardization differences (e.g., possible errors in the norms; sampling plan for selecting subjects for developing the test norms; publication date of test), (c) content differences, and/or, (d) in the case of group research, research methodology issues (e.g., sample pre-selection effects on reported mean IQs) (McGrew, 1994).
At this time I  return to one of these factors--content differences. This brief report does not focus on content differences between different IQ tests but, instead, focuses on the changing content across the various editions of the two primary Wechsler intelligence batteries (WISC/WAIS). This information should be useful when individuals are comparing IQ scores (for the same person) based on different versions of the Wechsler's .

Of course, content differences will not be the only reason for possible IQ score differences across editions of the Wechsler's for an individual. Other possible reasons may include real changes in intelligence, serious scoring errors present in either one of the two test administration's, the Flynn effect, and other possible factors.   This post focuses only on the changing CHC content of the WISC and WAIS series of intelligence batteries.

As discussed previously in numerous posts, contemporary CHC theory is currently considered the consensus psychometric taxonomy of human cognitive abilities (click here for prior posts and information regarding the theory).  For this current brief report, I reviewed the extant CHC-organized factor analysis literature of the variousWechsler intelligence batteries. I then used this information as per the following steps:

1.  I identified the individual subtests in all editions of the WISC and WAIS batteries that contributed to the respective Full Scale (FS) IQ score for each battery.

2.  Using the accepted authoritative sources re: the CHC analysis of the Wechsler intelligence batteries (Flanagan, McGrew and Ortiz, 2000; Flanagan, Ortiz, and Alfonso, 2007; McGrew and Flanagan, 1998; Woodcock, 1990), I classified each of the above identified subtests as per the broad CHC ability (or abilities) measured by each subtest.  For readers who want a very brief CHC overview (and ability definition cheat-sheet), click here.

3.  I calculated the percentage of each broad CHC ability represented in each batteries respective FS IQ. For example, for the 1974 WISC-R, the FS IQ is calculated by summing the WISC-R scaled scores from 10 of the individual subtests. Four of these 10 subtests (Information, Comprehension, Similarities, and Vocabulary) have all been consistently classified as indicators of broad Gc. Since each of the individual subtests contribute equally to the FS IQ score, Gc represents at least 40%  (4 of 10) of the WISC-R FS IQ. 
  • However, the extant CHC Wechsler research has consistently identified a few tests with dual CHC factor loadings. In particular, both Picture Completion and Picture Arrangement have been consistently reported to load on both the Gv (performance scale) and Gc (verbal scale) on the WISC-R. For tests that demonstrated consistent dual CHC factor loadings, I assigned each broad CHC ability measured as representing 1/2 (0.5) of the test. More precise proportional calculation might have been possible (via the calculation of the average factor loadings across all studies), but for the current purpose I used this  simple and (IMHO) reasonably approximate method.
  • As a result, both the Picture Completion and Picture Arrangement subtests were each assigned a 1/2 (0.5) Gc and 1/2 (0.5) ability classifications. When added together these two 0.5 Gc test classifications sum to 1.0. When combined with the other four clear Gc tests mentioned above, the final Gc test indicator total is 5.  As a result, the total Gc proportional percentage of the WISC-R FS IQ was calculated as 50%.
4.  Although the Wechsler CHC classifications were based on the primary source sources noted above, I did revise some commonly accepted classifications based upon my professional opinion (when supported by empirical research). For example, the Arithmetic subtest has frequently been classified as a measure of Gf, Gsm, and sometimes Gs.   However, when valid factor indicators of Quantitative Knowledge (Gq) have been included in analyses, the Arithmetic subtest consistently displays a robust loading on the Gq factor and only minor loadings on other CHC abilities. I placed greater stock in these studies (e.g., Phelps at al, 2005: Woodcock, 1990) as I deem these to be better designed CHC studies (they included a broader array of CHC ability indicators).  My final determination for Arithmetic was that it is a test that measures both Gq and Gsm.
  • In addition, where appropriate and consistent with published research, I modified a few other commonly accepted CHC Wechsler test classifications to reflect recent research (e.g.., Kaufman et al., 2001; Keith et al., 2006; Keith & Reynolds (in press--CHC abilities and cognitive tests: What we've learned from 20 years of research;  Psychology in the Schools); Lichtenberger & Kaufman, 2001; McGrew, 2009; Tulsky & Price, 2003; plus the factor studies reported in the respective technical manuals of each battery). Referring to the mixed measures of Picture Completion and Picture Arrangement mentioned above, research with the WISC-IV  has suggested that Picture Completion is primarily a measure Gv (Gc factor loading minimal or nonexistent) while Picture Arrangement continues to show significant loadings on both Gv and Gc. Thus, Picture Arrangement was classified as a mixed measure of Gc and Gv for all editions of the WISC. In contrast, in the case of the WISC-IV  Picture Completion was classified as a measure Gv.  
  • It is not possible to describe in detail all of the minor "fine tunings" I did for select Wechsler CHC test classifications. The basis for all are included in the various reference sources cited above. In the final analysis the Wechsler CHC test classifications used in this brief report are those made by myself (Kevin McGrew) based on my integration and understanding of the extant empirical research regarding the CHC abilities measured by individual tests in both the WISC and WAIS series of intelligence batteries.
5.  Finally, I calculated the proportion of CHC abilities represented in the FS IQ scores for all editions of the WISC and WAIS.  These value were tabled and plotted on graphs.  The summary graphs are presented below. [Double click on images to enlarge]





Conclusions/observations:  A review of all information presented (in and across both graphs) produces a number of interesting conclusions and hypotheses. I only present a few at this time. I encourage others to review the documents and provide additional insights or commentary via the comment feature of the blog or on various listserv's where I have posted and FYI message regarding this set of analysis.

1.  Historically, the FS IQ score from the Wechsler batteries, which is typically interpreted as a measure of general intelligence (g), has been heavily weighted towards the measurement of Gc and Gv abilities. This should not be surprising given the original design blueprint specified by David Wechsler (the measurement of intelligence vis-a-vis two different modes of expression).

2.  The WISC series remained constant in the CHC FS IQ composition from 1949 to 1991. Although tests may have been revised or replaced, the differential CHC proportional contribution to the FS IQ was relatively equal across all three editions. Following the 80% combined contribution of Gc and Gv, much smaller contributions to the FS IQ came from measures of Gs (10%) and Gq and Gsm (5% respectively).

3.  The WISC-IV represents a significant change in the general intelligence FS IQ score provided. Gc representation has decreased approximately 20%, Gv representation was cut in half (30 % to 15 %) ,  Gs abilities increased slightly (5 %), and Gq was eliminated. More importantly, there was a fourfold increase in the contribution of the Gsm (from 5% to 20%) and a 20% increase in Gf representation (from 0 to 20%)! Clearly different FS IQ scores may be obtained by the same individual when comparing WISC-IV FS IQ to either WISC-R/WISC-III scores.  More importantly,the difference may be a function of the different mixture of CHC abilities represented in the different editions of the WISC series. 

4.  The first two editions of the WAIS (WAIS and WAIS-R) were identical in differential CHC ability contribution to the FS IQ score. However, starting with the WAIS-III significant changes in the adult Wechsler battery commenced and were later amplified in the WAIS-IV. Both the WAIS-III and WAIS-IV FS IQs reduced the amount of Gc representation by approximately 14% to 15%. The contribution of Gv decreased only slightly (27.3% to 22.7%) from the WAIS-R to WAIS-III, but there was a dramatic reduction (by one half) and then another 2% from the WAIS-III to the WAIS-IV (22.7% to 10% 20%). Offsetting reductions in Gc and Gv over these two editions was a trend towards greater measurement of Gs (has doubled from around 9% from the early two editions to approximately 18% to 20% in the last two editions). Gq FS IQ contribution has remained relatively similar throughout all editions. The most dramatic change, which is also consistent with the WISC series, is an approximate tenfold increase (0 % to 9.1%) in Gf from the WAIS-R to the WAIS-III, which was again doubled in magnitude with the publication of the and WAIS-IV (10% 20%). In general, similar to the WISC series, the adult WAIS series FS IQ has slowly evolved in the CHC abilities represented by the FS IQ. Both Gc and Gv abilities have been systematically reduced concurrently with a significant increases in the contribution of Gs and Gf.

Implications of the CHC evolution of the WISC and WAIS FS IQ scores are many if one attempts to compare a current IQ score from one battery to an older score from a earlier edition of the same battery (or compare an older score from the childrens version to the latest edition of the adult version). Before one can assume that significant changes from a childhood WISC-based IQ to a WAIS-III or WAIS-IV  are due to certain factors (neurological insult; malingering, the Flynn effect, etc.), one should review the above graphs and consider the possibility that the different FS IQ scores may both be valid indicators of functioning but may represent differ CHC mixes (flavors) of general intelligence.

The potential implications and  hypotheses that can be generated with the aid of the above graphs are numerous. For example, Flynn (2006) has suggested that there are problems with the WAIS-III standardization norms given that studies comparing the WAIS-R/WAIS-III scores are not consistent with Flynn effect expectations.  According to Weiss (2007), Flynn is ignoring data that does not fit his theory and instead is using theory to question data (and the integrity of a tests norms). According to Weiss (2007), "the only evidence Flynn provides for this statement is that WAIS-III scores do not fit expectations made based on the Flynn effect. However, the progress of science demands that theories be modified based on new data. Adjusting data to fit theory is an inappropriate scientific method, regardless of how well supported the theory may have been in previous studies." (p.1 from abstract).

I tend to concur with Weiss's arguments that the mere finding that the WAIS-III results were inconsistent with  Flynn effect expectations is insufficient evidence to claim that the a test norms are wrong. If the data don't fit--one may need to retrofit (your theory or hypothesis).  By inspecting the second graph above, one can see that a  viable explanation for the apparent lack of the WAIS-R-to-WAIS-III Flynn effect is that the WAIS-III FS IQ score represents a different proportional composite of CHC abilities. More specifically, the WAIS-III reduced the proportional representation of Gc from 45.5% to 31.8%, decreased the Gv representation by approximately 5%, doubled the impact of Gs, and for the first time ever introduced close to 10% Gf representation. CHC content changes of the FS IQ scores between batteries may be at play.   Can anyone say "comparing apples to apples+oranges?"

And so on.................more comments may be forthcoming.

PS - additional information not included in this original post has now been posted.  Click here.



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Thursday, February 04, 2010

Testing mobile post

This is a test post to see if new mobile blogging software will allow me to make nicer looking mobile posts that include shortened links and uploaded pictures. I love technology

http://tinyurl.com/yackbvk




- Posted using BlogPress from Kevin's iPhone (mobile blogging)

RIAS and JCCES relationship research

Info at link below

http://cogniqblog.blogspot.com/2010/02/on-relationship-between-jcces-and.html


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Cognitive fluency hot topic---Emailing tweet from: PsychScience (APS)

Easy = True - fascinating article on cognitive fluency "one of the
hottest topics in psychology today" http://ow.ly/13pcW
Original Tweet: http://twitter.com/PsychScience/status/8591179370

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Wednesday, February 03, 2010

iAbstract: Modeling of traits in test construction

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Some guidelines concerning the modeling of traits and abilities in test construction.
By Schweizer, Karl
European Journal of Psychological Assessment. Vol 26(1),2010, 1-2.
Abstract
Over the last few years the majority of authors who submitted manuscripts for publication in European Journal of Psychological Assessment selected confirmatory factor analysis as their method for test construction. This is a very agreeable development. Confirmatory factor analysis is based on a well-developed model of measurement that is closely linked to the corresponding model of the covariance matrix. As a consequence, parameter estimation occurs in close agreement with the model of measurement as well as with the model of the covariance matrix. One very useful property of this method is that the model must provide a complete account for the variances and covariances of the items. This way, structural deviations from the basic assumptions of a model become apparent if the items of a prospective measure show other properties than the expected ones. Unfortunately, many submissions reporting the results of confirmatory factor analysis are deficient in one way or the other, so that some guidelines in modeling traits and abilities in test construction may prove helpful for future submissions. 

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Monday, February 01, 2010

Race and IQ: Rushton and Jensen review and respond to Richard Nisbett's "Intelligence and How to Get It"

Rushton, J. P., & Jensen, A. R. (2010). Race and IQ: A Theory-Based Review of the Research in Richard Nisbett’s Intelligence and How to Get It. The Open Psychology Journal, 3, 9-35.

Rushton and Jenson's respone to Richard Nisbett's "Intelligence and how to get it" has now been printed and can be accessed by clicking on title link above

Abstract: We provide a detailed review of data from psychology, genetics, and neuroscience in a point-counterpoint format to enable readers to identify the merits and demerits of each side of the debate over whether the culture-only (0% genetic- 100% environmental) or nature + nurture model (50% genetic-50% environmental) best explains mean ethnic group differences in intelligence test scores: Jewish (mean IQ = 113), East Asian (106), White (100), Hispanic (90), South Asian
(87), African American (85), and sub-Saharan African (70). We juxtapose Richard Nisbett’s position, expressed in his book Intelligence and How to Get It, with our own, to examine his thesis that cultural factors alone are sufficient to explain the differences and that the nature + nurture model we have presented over the last 40 years is unnecessary. We review the evidence in 14 topics of contention: (1) data to be explained; (2) malleability of IQ test scores; (3) culture loaded
versus g-loaded tests; (4) stereotype threat, caste, and “X” factors; (5) reaction-time measures; (6) within-race heritability; (7) between-race heritability; (8) sub-Saharan African IQ scores; (9) race differences in brain size; (10) sex differences in brain size; (11) trans-racial adoption studies; (12) racial admixture studies; (13) regression to the mean effects; and (14) human origins research and life-history traits. We conclude that the preponderance of evidence demonstrates that in intelligence, brain size, and other life history traits, East Asians average higher than do Europeans who average higher do South Asians, African Americans, or sub-Saharan Africans. The group differences are between 50 and 80% heritable.



Sunday, January 31, 2010

Intellectual heterogeneity of MR/ID as evidence against AAIDD "stuck on g" green manual: Even in cleary genetic-based syndromes (Williams Syndrome)

In the last in my series of posts re: concerns I have with the AAIDD 11th Edition ID definition and classification manual, one  point I raised (re: my concern for the AAIDD "stuck on g" position) was the fact that individuals with ID/MR should not be stereotyped as having a single type of cognitive disability (simply poor g---which also implies, for many, a "flat profile" of cognitive abilities). 

Although not so stated in the AAIDD manual, the elevation of general intelligence to such high status, combined with statements that current intelligence measures are not available to reliably and validly assess multiple cognitive abilities (a statement that is simply wrong--see PPT show link in last post in series), implicitly has the potential to convey this stereotype.  I argued that individuals with ID/MR show just as much heterogeneity in profiles of cognitive abilities as individuals without ID/MR.

This past week a colleague reminded me of one article that makes my point clear.  Within the field of ID/MR, there are a number of rare genetic-based disorders.  Such genetically-based disorders typically result in a greater degree of similarity (homogeneity) among individuals with the condition.  Williams syndrome (WS) is one such ID/MR disorder.  Of course, individuals with WS are not those being evaluated in typical Atkins death penalty cases, but the common assumption and lore is that WS individuals show a "syndrome-specific pattern of cognitive strengths/weaknesses"----high verbal abilities and much lower visual-spatial abilities.

I would argue, as have others, that this WS syndrome-specific cognitive stereotype is largely due to the fact that historically MR/ID researchers only had the V/P organized Wechsler batteries as their primary IQ battery...and that the "profile" may be due to this research being constrained by batteries that did not validly measure a greater breadth of cognitive functioning.  This is not a criticism of the past research, as researchers had limited theories of intelligence and measures of constructs from which to work.  However, now that CHC theory has emerged as the consensus psychometric model of cognitive abilities and, more importantly, there are a significant number of well-standardized and psychometrically sound IQ batteries of multiple cognitive abilities, I'm not surprised that a syndrome with a strong genetic core, which typically results in more within-group similarity, when measured by more contemporary CHC-based IQ batteries display considerable variability/heterogeneity in patterns of cognitive abilities. 

Below is the abstract for  2005 study that reported that WS individuals do NOT display the classic and historical syndrome-specific pattern of cognitive strengths and weaknesses when measured with a more contemporary CHC-based cognitive battery (WJ-R:  conflict of interest note--I am a coauthor of the next edition..the WJ III).

This study clearly suggests that even a population of individuals with a shared genetic causal mechanism display significant individual differences in patterns of cognitive abilities.  If this is found in ID/MR populations with a strong shared genetic causal mechanism, one would be hard-pressed to argue that such variability does not exist for more milder forms of ID/MR and the general population.

My point (again)---I'm very concerned that the AAIDD 11th Edition ID manual's "stuck on g" position is out of synch with contemporary intelligence theory and measurement and has the potential to cause serious harm when potentially life-altering decisions are made on the basis of a single g-based composite IQ scores that ignores the heterogeneity of human cognitive abilities across the ability spectrum and different disorders.

Porter, M. A. & Coltheart, M.  Cognitive Heterogeneity in Williams Syndrome.  Developmental Neuropsychology, 27 (2), 275-306. (click here to view article)


Abstract
This study used the Woodcock-Johnson Tests of Cognitive Ability-Revised to investigate a wide range of cognitive abilities in people with Williams syndrome (WS). It involved a comparatively large sample of 31 people with WS, but took a case-series approach. The study addressed the widespread claims of a characteristic "WS cognitive profile" by looking for heterogeneity rather than homogeneity. People with WS showed a variety of preserved (significantly above mental age [MA]), expected (at MA), and significantly impaired (significantly below MA) levels of functioning. Such results provide clear evidence for heterogeneity in cognitive functions within WS. We found the most homogeneity on a test of phonological processing and a test of phonological short-term memory, with half of the WS sample performing at MA levels on these tests. Interestingly, no WS individual showed a weakness on a test of nonverbal reasoning, and only one WS individual showed a weakness on a test of verbal comprehension. In addition, we found that strengths on analysis-synthesis and verbal analogies occurred only for WS individuals with an MA less than 5.5 years (our sample median MA); people with an MA greater than 5.5 years performed at MA level on these 2 tests. Results also provided preliminary evidence for distinct subgroups of WS people based on their cognitive strengths and weaknesses on a broad range of cognitive functions. On the basis of the findings, caution should be made in declaring a single cognitive profile that is characteristic of all individuals with WS. Just as there is heterogeneity in genetic and physical anomalies within WS, not all WS individuals share the same cognitive strengths and weaknesses. Also, not all WS individuals show the profile of a strength in verbal abilities and a weakness in spatial functions.

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Welcome to the blogosphere: PsychFeeder

PsychFeeder has been added to the blogroll.  A nice blog for keeping up to date on the latest in peer review related to school psychology.

IQs Corner Recent Literature of Interest 01-30-10

This weeks "recent literature of interest" is now available. Click here to view or download.

Information regarding this feature, its basis, and the reasons for type of references included in each weekly installment can be found in a prior post.

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iHumor break: Multi-tasking

Friday, January 29, 2010

iPost: Caution urged in admin of neuropsych tests to Spanish speaking individuals

More info at BRAIN INJURY blog link below

http://braininjury.blogs.com/braininjury/2010/01/caution-in-administering-traditional-neuropsychological-tests-to-individuals-whose-native-language-i.html


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Quantoids corner: Methodology: European Journal of Research Methods for the Behavioral and Social Sciences - Volume 6, Issue 1



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A new issue is available for the following Hogrefe & Huber journal:

Methodology: European Journal of Research Methods for the Behavioral and Social Sciences

Volume 6, Issue 1

New developments in missing data analysis.
Page 1-2
van der Ark, L. Andries; Vermunt, Jeroen K.
Incidence of missing item scores in personality measurement, and simple item-score imputation.
Page 17-30
van Ginkel, Joost R.; Sijtsma, Klaas; van der Ark, L. Andries; Vermunt, Jeroen K.
Analysis of incomplete data using inverse probability weighting and doubly robust estimators.
Page 37-48
Vansteelandt, Stijn; Carpenter, James; Kenward, Michael G.


Thursday, January 28, 2010

iAbstract: New Flynn Effect book

  • PsycCRITIQUES:
  •  
  • Citation and Abstract
How to make the world smarter.
Mayer, Richard E.
PsycCRITIQUES. Vol 55(4),2010, No Pagination Specified.
Reviews the book, Human intelligence and medical illness: Assessing the Flynn effect by R. Grant Steen (see record2009-19252-000). The Flynn effect is the empirical finding—first reported by James R. Flynn in 1984 (Flynn, 1984, 1987, 2009)—that average IQ scores have been rising at a substantial rate throughout most of the 20th century in every country for which adequate data are available. Is the Flynn effect real? What is the cause of the Flynn effect? What are the implications of the Flynn effect for improving human intelligence? These are the kinds of questions addressed in this book. The 218-page volume is divided into 13 chapters on topics ranging from whether people are getting smarter, what are the causes of the increase in intelligence test scores, and what are some ways to foster further increases in human intelligence. The author's thesis is that human intelligence is really increasing, that the main cause is an improvement in public health—what can be called the "medical environment" (p. 99)—and that countries that seek to improve the intelligence of their citizenry should invest in improving health care, particularly for children. Steen seeks to back up his conclusions with considerable amounts of research evidence, often grounded in rigorous scientific experiments and quantitative analyses. The book is concise, timely, and generally well written. The author offers a balance between facts and opinions, or between scientific research studies and compassionate analyses of their implications. Looking up a cited reference at the end of the book is a tedious process, and the title of the book may not provide a clear indication of the book's contents. Overall, Human Intelligence and Medical Illness is a thought-provoking book that is well worth reading. (PsycINFO Database Record (c) 2009 APA, all rights reserved)
  • Digital Object Identifier:
  •  
  • 10.1037/a0018609
Note: Your library may have purchased access to this information through another service provider.


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New Cognitive Science journal

Check it out at link below

http://wires.wiley.com/WileyCDA/WiresJournal/wisId-WCS.html


Kevin McGrew PhD
Educational/School Psych.
IAP (www.iapsych.com)

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