IQ stability: the relation between child and young adult intelligence test scores in low-birthweight samples

The stability of IQ from childhood to adulthood in low-birthweight subjects was measured in two independent samples with follow-up intervals of approximately 14 and 9.5 years. In both samples, intelligence was assessed with the WISC at a mean age of 9.5. Twenty-six subjects were retested with the WAIS at a mean age of 23.5, and 78 subjects with the BPP (the Danish Military Draft Board Intelligence Test) at the age of 19.1. Both samples obtained childhood and adult test scores below the expected means. For the Wechsler Verbal, Performance and Full-Scale IQs, the stability quotients were 0.86, 0.86, and 0.89 in the WAIS sample, and the retest correlations for the three IQs with the BPP score were 0.66, 0.65, and 0.74. Thus, the majority of children showed stable patterns of intellectual development from middle childhood to young adulthood.     

从智力的三元理论到成功智力:是对IQ的再次超越吗?

本文以智力的约定性为立论,把超越界定为智力的约定性的广度、深度和效度的大幅度提高。将斯腾伯格对智力的研究放到智力理论研究的历史过程中,对斯腾伯格的三元智力理论及成功智力理论对IQ的超越做了分析。指出传统IQ是学业差异约定,三元智力是多元权变约定,成功智力是人生成功约定,后者都是对前者的超越,成功智力是对IQ的再次超越。最后尝试性地提出智力约定性的“树”的隐喻。本文对智力理论的研究和教育实践有参考价值。     

创新期望差距与团队突破性创新：自我调节理论视角

本研究以自我调节理论为基础, 探讨团队领导的创新期望差距推进团队突破性创新的过程。根据实验结果以及一项多时点、多来源的问卷调查发现: 创新期望差距对领导创新投入产生U型影响; 领导创新投入中介创新期望差距与团队突破性创新之间的U型关系; 知觉资质过剩和组织晋升标准共同调节创新期望差距通过领导创新投入对团队突破性创新的影响, 具体地, 当领导知觉资质过剩高且组织实行相对晋升标准时, 创新期望差距通过领导创新投入对团队突破性创新施加更强影响。     

An examination of indexes for determining the number of clusters in binary data sets

The problem of choosing the correct number of clusters is as old as cluster analysis itself. A number of authors have suggested various indexes to facilitate this crucial decision. One of the most extensive comparative studies of indexes was conducted by Milligan and Cooper (1985). The present piece of work pursues the same goal under different conditions. In contrast to Milligan and Cooper's work, the emphasis here is on high-dimensional empirical binary data. Binary artificial data sets are constructed to reflect features typically encountered in real-world data situations in the field of marketing research. The simulation includes 162 binary data sets that are clustered by two different algorithms and lead to recommendations on the number of clusters for each index under consideration. Index results are evaluated and their performance is compared and analyzed.Author names are listed in alphabetical order.This piece of research was supported by the Austrian Science Foundation (FWF) under grant SFB#010 (Adaptive Information Systems and Modeling in Economics and Management Science).The authors would like to thank the anonymous reviewers and especially the associate editor for their helpful comments and suggestions.     

Hispanic and non-Hispanic children's performance on PASS cognitive processes and achievement

Hispanics have become the largest minority group in the United States. Hispanic children typically come from working class homes with parents who have limited English language skills and educational training. This presents challenges to psychologists who assess these children using traditional IQ tests because of the considerable verbal and academic (e.g., quantitative) content. Some researchers have suggested that intelligence conceptualized on the basis of psychological processes may have utility for assessment of children from culturally and linguistically diverse populations because verbal and quantitative skills are not included. This study examined Hispanic children's performance on the Cognitive Assessment System (CAS; [Naglieri, J.A., and Das, J.P. (1997). Cognitive Assessment System. Itasca, IL: Riverside.]) which is based on the Planning, Attention, Simultaneous, and Successive (PASS) theory of intelligence. The scores of Hispanic (N = 244) and White (N = 1956) children on the four PASS processes were obtained and the respective correlations between PASS and achievement compared. Three complementary sampling methodologies and data analysis strategies were chosen to compare the Ethnic groups. Sample size was maximized using nationally representative groups and demographic group differences were minimized using smaller matched samples. Small differences between Hispanic and non-Hispanic children were found when ability was measured with tests of basic PASS processes. In addition, the correlation between the PASS constructs and achievement were substantial for both Hispanic and non-Hispanic children and were not significantly different between the groups.     

Skull size and intelligence, and King Robert Bruce's IQ

An estimate of someone's IQ is a potentially informative personal datum. This study examines the association between external skull measurements and IQ scores, and uses the resulting regression equation to provide an estimate of the IQ of King Robert I of Scotland (Robert Bruce, 1274–1329). Participants were 48 relatively healthy Caucasian men (age 71–76 years) resident in Scotland. Using magnetic resonance imaging data, intracranial volume estimated from external skull length and width correlated greater than .5 (p < .001) with measured intracranial area, which correlates very highly with brain volume. IQ scores estimated from the National Adult Reading Test (NART) correlated .56 (p < .001) with measured intracranial area, and .49 (p < .01) with estimated intracranial volume based on external skull width and length. The partial correlation coefficient of this latter association was .25 (p = .09) after adjustment for measured intracranial area. Thus, actual intracranial area accounts for about 74% of the variance shared by NART and estimated intracranial volume. A cast of the skull of Robert Bruce was measured and its intracranial volume estimated. A regression equation between IQ and estimated intracranial volume, based on data from the 48 subjects, estimated the IQ of Robert Bruce at about 128 (95% confidence interval 106 to  130), i.e. almost two standard deviations above the mean. NART scores show a ceiling effect, so this estimated IQ might be an underestimate. Robert Bruce's estimated high IQ is congruent with his military, political and other intellectual achievements.     

检测时与智力关系的研究述评

检测时是信息加工速度的重要指标,它与一般智力测验分数之间存在着稳定的相关,两者之间的相关常被解释为智力个体差异的认知或生理学的基础。文章介绍了检测时与智商之间的相关研究。讨论了研究者对检测时和智力之间相关本质的几种理论解释。同时,总结了从生物学和发展的角度对检测时与智力之间相关的本质理解的研究。在此基础上,文章分了检测时与智力之间关系研究中存在的问题和未来的研究方向     

Chinese sex differences in intelligence: Some new evidence

Sex differences on the WISC-R in Chinese children were examined in a sample of 788 aged 12 years. Boys obtained a higher mean full scale IQ than girls of 3.75 IQ points, a higher performance IQ of 4.20 IQ points, and a higher verbal IQ of 2.40 IQ points. Boys obtained significantly higher means on the information, picture arrangement, picture completion, block design, and object assembly subtests, while girls obtained a significantly higher mean on coding. The results were in general similar to the sex differences in the United States standardisation sample of the WISC-R. Boys showed greater variability than girls.     

Moderation of Stimulus Material on the Prediction of IQ with Infants' Performance in the Visual Expectation Paradigm: Do Greebles Make the Task More Challenging?

The objective of this study was to examine the role of the stimulus material for the prediction of later IQ by early learning measures in the Visual Expectation Paradigm (VExP). The VExP was assessed at 9 months using two types of stimuli, Greebles and human faces. Greebles were assumed to be associated with a higher load on working memory in comparison to human faces. IQ was assessed at 3 years and 4 months of age. Sixty‐four children participated at both assessments in this longitudinal study. The results show a moderation of the stimulus material on the prediction of IQ. With Greebles as stimulus material, a significant relationship between infants' learning and IQ was found. There was no relation when infants' learned in the VExP using human faces. Copyright © 2015 John Wiley & Sons, Ltd.     

Is Loneliness the Same as Being Alone?

The cognitive discrepancy model predicts that loneliness occurs when individuals perceive a difference between their desired and actual levels of social involvement. Using data from a sample of high school sophomore students, the present investigation was designed to go beyond previous research that has tested this model by examining the predicted nonlinear relationships between desired and actual social contact and feelings of loneliness. Analyses indicated that support for the cognitive discrepancy model of loneliness was found only for measures of close friendships. Specifically, the discrepancy between the students' ideal number and actual number of close friends was found to be related in a nonlinear fashion to feelings of satisfaction with close friendships and loneliness after control for the number of close friends. Implications of these findings for theoretical models of loneliness are discussed.