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  1. Interpretations for a class on minority assessment.J. P. Das - 1985 - Behavioral and Brain Sciences 8 (2):228-228.
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  • A cognitive scientist's view of intelligence.Allan Collins - 1980 - Behavioral and Brain Sciences 3 (4):588-589.
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  • Intelligence and g: An imaginative treatment of unimaginative data.Raymond B. Cattell - 1985 - Behavioral and Brain Sciences 8 (2):227-228.
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  • The issue of g: Some relevant questions.Jerry S. Carlson - 1985 - Behavioral and Brain Sciences 8 (2):224-225.
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  • Different approaches to individual differences.Thomas H. Carr & Janet L. McDonald - 1985 - Behavioral and Brain Sciences 8 (2):225-227.
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  • Components and factors: Complementary “units” of analysis?John B. Carrol - 1980 - Behavioral and Brain Sciences 3 (4):587-588.
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  • Event-related potentials and the biology of human information processing.Enoch Callaway - 1985 - Behavioral and Brain Sciences 8 (2):223-224.
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  • On Sternberg's translation of g into metacomponents and on questions of parsimony.Earl C. Butterfield - 1980 - Behavioral and Brain Sciences 3 (4):586-587.
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  • Components to the rescue.Nathan Brody - 1980 - Behavioral and Brain Sciences 3 (4):586-586.
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  • Jensen's compromise with componentialism.Christopher Brand - 1985 - Behavioral and Brain Sciences 8 (2):222-223.
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  • On the nature and measurement of metacomponents.John G. Borkowski - 1980 - Behavioral and Brain Sciences 3 (4):585-586.
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  • Looking for Mr. Good- g: General intelligence and processing speed.John G. Borkowski & Scott E. Maxwell - 1985 - Behavioral and Brain Sciences 8 (2):221-222.
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  • Cognitive complexity of suppositional reasoning: An application of the relational complexity metric to the Knight-knave task.Damian P. Birney & Graeme S. Halford - 2002 - Thinking and Reasoning 8 (2):109 – 134.
    An application of the Method of Analysis of Relational Complexity (MARC) to suppositional reasoning in the knight-knave task is outlined. The task requires testing suppositions derived from statements made by individuals who either always tell the truth or always lie. Relational complexity (RC) is defined as the number of unique entities that need to be processed in parallel to arrive at a solution. A selection of five ternary and five quaternary items were presented to 53 psychology students using a pencil (...)
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  • Cultural universality of any theory of human intelligence remains an open question.J. W. Berry - 1980 - Behavioral and Brain Sciences 3 (4):584-585.
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  • Reliability and g.Jonathan Baron - 1985 - Behavioral and Brain Sciences 8 (2):220-221.
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  • Jensen, Spearman's g, and Ghazali's dates: A commentary on interracial peace.Panos D. Bardis - 1985 - Behavioral and Brain Sciences 8 (2):219-220.
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  • Fluid Intelligence as a Mediator of the Relationship between Executive Control and Balanced Time Perspective.Marcin Zajenkowski, Maciej Stolarski, Joanna Witowska, Oliwia Maciantowicz & Paweł Łowicki - 2016 - Frontiers in Psychology 7.
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  • Involvement of the Right Dorsolateral Prefrontal Cortex in Numerical Rule Induction: A Transcranial Direct Current Stimulation Study.Yuzhao Yao, Xiuqin Jia, Jun Luo, Feiyan Chen & Peipeng Liang - 2020 - Frontiers in Human Neuroscience 14.
    Numerical inductive reasoning has been considered as one of the most important higher cognitive functions of the human brain. Importantly, previous behavioral studies have consistently reported that one critical component of numerical inductive reasoning is checking, which often occurs when a discrepant element is discovered, and reprocessing is needed to determine whether the discrepancy is an error of the original series. However, less is known about the neural mechanism underlying the checking process. Given that the checking effect involves cognitive control (...)
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  • Jensen's support for Spearman's hypothesis is support for a circular argument.James R. Wilson - 1985 - Behavioral and Brain Sciences 8 (2):246-246.
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  • Focusing on trainable g.Arthur Whimbey - 1985 - Behavioral and Brain Sciences 8 (2):245-246.
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  • Interpretation of black–white differences in g.Philip E. Vernon - 1985 - Behavioral and Brain Sciences 8 (2):244-245.
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  • The black–white differences and Spearman's g: Old wine in new bottles that still doesn't taste good.Robert J. Sternberg - 1985 - Behavioral and Brain Sciences 8 (2):244-244.
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  • Sketch of a componential subtheory of human intelligence.Robert J. Sternberg - 1980 - Behavioral and Brain Sciences 3 (4):573-584.
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  • Claims, counterclaims, and components: A countercritique of componential analysis.Robert J. Sternberg - 1980 - Behavioral and Brain Sciences 3 (4):599-614.
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  • The black–white differences are real: Where do we go from here?Keith E. Stanovich - 1985 - Behavioral and Brain Sciences 8 (2):242-243.
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  • On artificial intelligence.Peter H. Schönemann - 1985 - Behavioral and Brain Sciences 8 (2):241-242.
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  • Neural adaptability: A biological determinant of g factor intelligence.Edward W. P. Schafer - 1985 - Behavioral and Brain Sciences 8 (2):240-241.
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  • Differential K theory and group differences in intelligence.J. Philippe Rushton - 1985 - Behavioral and Brain Sciences 8 (2):239-240.
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  • On theory and metatheory, and normal and revolutionary science.Joseph R. Royce - 1980 - Behavioral and Brain Sciences 3 (4):599-599.
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  • Oh g Dr. Jensen! or, g-ing up cognitive psychology?P. M. A. Rabbitt - 1985 - Behavioral and Brain Sciences 8 (2):238-239.
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  • Chronometric measures of g.Michael I. Posner - 1985 - Behavioral and Brain Sciences 8 (2):237-238.
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  • Empirical evidence of bias in choice reaction time experiments.Ype H. Poortinga - 1985 - Behavioral and Brain Sciences 8 (2):236-237.
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  • Three perspectives on intelligence.James W. Pellegrino - 1980 - Behavioral and Brain Sciences 3 (4):598-599.
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  • Epidemical spread of scientific objects: An attempt of empirical approach to some problems of meta-science.Maria Nowakowska - 1973 - Theory and Decision 3 (3):262-297.
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  • Intelligence and its biological subtrate.Robert C. Nichols - 1985 - Behavioral and Brain Sciences 8 (2):236-236.
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  • What reaction times time.T. Nettelbeck - 1985 - Behavioral and Brain Sciences 8 (2):235-235.
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  • The fashionable scientific fraud: Collingwood’s critique of psychometrics.Joel Michell - 2020 - History of the Human Sciences 33 (2):3-21.
    In his review of Charles Spearman’s The Nature of ‘Intelligence’, R. G. Collingwood launched an attack upon psychometrics that was expanded in his Essay on Metaphysics. Although underrated by friend and foe alike, Collingwood’s critique identified a number of defects in the thinking of psychometricians that subsequently became entrenched. However, his main complaint was that psychology generally was a ‘fashionable scientific fraud’. This charge was inspired by his more general views on logic and metaphysics, which, however, as I argue, are (...)
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  • Discovering and training the components of intelligence.Colin M. MacLeod - 1980 - Behavioral and Brain Sciences 3 (4):597-598.
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  • Comparative studies of animal intelligence: Is Spearman's g really Hull's D?Euan M. Macphail - 1985 - Behavioral and Brain Sciences 8 (2):234-235.
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  • Intelligence in taiwan: Progressive matrices means and sex differences in means and variances for 6- to 17-year-Olds.Richard Lynn, Hsin-yi Chen & Yung-hua Chen - 2011 - Journal of Biosocial Science 43 (4):469-474.
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  • Intelligence: Toward a modern sketch of a good g.Herbert Lansdell - 1980 - Behavioral and Brain Sciences 3 (4):597-597.
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  • The nature of psychometric g.Paul Kline - 1985 - Behavioral and Brain Sciences 8 (2):234-234.
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  • Factors or processes in intelligence.Paul Kline - 1980 - Behavioral and Brain Sciences 3 (4):596-597.
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  • Sternberg's sketchy theory: Defining details desired.Daniel P. Keating - 1980 - Behavioral and Brain Sciences 3 (4):595-596.
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  • Theory knitting: An integrative approach to theory development.David A. Kalmar & Robert J. Sternberg - 1988 - Philosophical Psychology 1 (2):153 – 170.
    A close scrutiny of the psychological literature reveals that many psychologists favor a 'segregative' approach to theory development. One theory is pitted against another, and the one that accounts for the data most successfully is deemed the theory of choice. However, an examination of the theoretical debates in which the segregative approach has been pursued reveals a variety of weaknesses to the approach, namely, masking an underlying theoretical indistinguishability of theoretical predictions, causing psychologists to focus unknowingly on different aspects of (...)
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  • Golly g: Interpreting Spearman's general factor.Lyle V. Jones - 1985 - Behavioral and Brain Sciences 8 (2):233-233.
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  • Do we know enough about g to be able to speak of black–white differences?Ronald C. Johnson & Craig T. Nagoshi - 1985 - Behavioral and Brain Sciences 8 (2):232-233.
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  • The nature of the black–white difference on various psychometric tests: Spearman's hypothesis.Arthur R. Jensen - 1985 - Behavioral and Brain Sciences 8 (2):193-219.
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  • The black–white difference in g: A phenomenon in search of a theory.Arthur R. Jensen - 1985 - Behavioral and Brain Sciences 8 (2):246-263.
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  • The language of componential analysis.Earl Hunt - 1980 - Behavioral and Brain Sciences 3 (4):592-595.
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