Geographic variation in empathy: A state-level analysis

Empathy is often studied at the individual level, but little is known about variation in empathy across geographic regions and how this variation is associated with important regional-level outcomes. The present study examined associations between state-level empathy, prosocial behavior, and antisocial behavior in the United States. Participants were 79,563 U.S. residential adults who completed measures of cognitive and emotional empathy (i.e., perspective taking and empathic concern). Information on prosocial and antisocial behavior was retrieved from publicly available government databases. All indices of empathy were related to lower rates of violent crime, aggravated assault, and robbery. Total empathy was associated with higher well-being and higher volunteer rates. Implications for geographic variation in empathy, prosocial behavior, and antisocial behavior are discussed.     

A reassessment of psychoanalytic education: Controversies and changes2

To understand the many controversies surrounding psychoanalytic education, it is necessary first to understand the unique role played by education in our field where control of educational structures remains the most important measure of professional success for the majority of psychoanalysts. To keep debate about educational policy focused on the task of strengthening the intellectual basis of psychoanalysis, it is also necessary to understand that forces affecting education arise from at least three different domains which can too easily become confused with one another: 1) the domain of knowledge‐ intellectual, scientific and clinical; 2) the domain of the organized professional community; and 3) the domain of local institutional politics. The authors explore controversy arising within and among each of these domains. They also explore the major alternatives proposed to the Eitingon model of psychoanalytic education, arguing that excessive authoritarianism in education arises not from the existence of hierarchical structures per se (as suggested by the ‘French model’), but from two other factors: the condensation of all important professional functions into the single ‘monolithic’ position of the training analyst, and the lack of agreed upon methodology for determining the validity of theoretical propositions. The solution lies not in obliterating all gaps in expertise and status by doing away with hierarchical structures altogether, but rather in strengthening the intellectual, scholarly and research context within which psychoanalytic education takes place. We must attempt to relocate our experience of a gap where it belongs: not between those who are training analysts and those who are not, but between what we feel we already know about mental life and what we do not yet know.     

Motivation to manage among college business students: A reassessment

The present study reassesses trends in motivation to manage among college business students (N = 216). Motivation to manage scores are compared with J. B. Miner's (Personnel Psychology, 1974, 27, 605–613) results for three periods since the early 1960s, across two types of universities—public and private, and between males and females. Results indicate that the downward trend in motivation to manage scores appears to be reversing; business students at the private university scored higher on motivation to manage than those at the public university, and males scored higher than females. Implications for vocational research are discussed.     

A reassessment of cultural deviance theory: The use of underclass measures

This paper reassesses Miller's version of cultural deviance theory utilizing underclass measures to define the subculture. Previous research has ignored the potential of underclass measures such as unemployment and welfare status, despite evidence suggesting that such measures are strongly correlated with delinquency. The results in this paper are for the most part consistent with Miller's theory. We find that a number of indicators of subcultural focal concerns are significantly associated with underclass membership. Further, these indicators of focal concerns are also significantly associated with delinquent behavior. However, tests of the socialization process notions implicit in delinquency theories yield results more consistent with social control theory than with cultural deviance theory.     

Happy States of America: A state-level analysis of psychological, economic, and social well-being

Cross-national research indicates that well-being is comparatively high in wealthy nations where importance is placed on freedom, self-expression, and independence. The present research aimed to replicate and extend previous work by examining the geographic distribution and correlates of well-being within the US. Links between the Gallup Organization’s Well-being Index and state-level indicators of wealth, class structure, education, social diversity, and personality were examined. Results suggested that residents of states with high levels of well-being were wealthier, better educated, more tolerant, and emotionally stable compared to residents of states with comparatively low levels of well-being. Analyses indicated that connections between well-being and class structure, diversity, and personality remained after controlling income. Causes and consequences of regional differences in well-being are discussed.     

Effects of the use of percentage agreement on behavioral observation reliabilities: A reassessment

The percentage agreement index has been and continues to be a popular measure of interobserver reliability in applied behavior analysis and child development, as well as in other fields in which behavioral observation techniques are used. An algebraic method and a linear programming method were used to assess chance-corrected reliabilities for a sample of past observations in which the percentage agreement index was used. The results indicated that, had kappa been used instead of percentage agreement, between one-fourth and three-fourth of the reported observations could be judged as unreliable against a lenient criterion and between one-half and three-fourths could be judged as unreliable against a more stringent criterion. It is suggested that the continued use of the percentage agreement index has seriously undermined the reliabilities of past observations and can no longer be justified in future studies.     

Pure experience revisited: A critical reassessment of Nishida Kitaro's radicalization of William James' empiricism

In this paper, we will revisit the relation between the respective conceptions of pure experience of Nishida Kitaro and William James. As various authors have previously shown, comparing Nishida and James can not only help us better understand both of their specific understandings of pure experience, and consequently its position within their respective enterprises, but also give a platform with which to see how these two authors could contribute to contemporary discussions on philosophical methodology. However, despite the long history of comparative research on these two thinkers, there is still no consensus about the extent to which Nishida's philosophy actually resembles James' work at all. Was Nishida's interest in James' work found only in superficial similarities between two authors interested in overcoming the subject–object distinction? Or did Nishida attempt to somehow develop or radicalize James' work, taking his notion of pure experience into the realm of religion and metaphysics? In this contribution, we will agree with previous authors who have argued that Nishida is best understood as trying to go beyond or develop James' work. However, we will make this claim with the caveat that James had good reason not to take the avenues Nishida pursued, and that Nishida's attempt to radicalize some ideas in James may have led to some difficult points within his early philosophy.     

Libet's temporal anomalies: a reassessment of the data

Benjamin Libet compared the perceived time of direct brain stimulation to the perceived time of skin stimulation. His results are among the most controversial experiments at the interface between psychology and philosophy. The new element that I bring to this discussion is a reanalysis of Libet's raw data. Libet's original data were difficult to interpret because of the manner in which they were presented in tables. Plotting the data as psychometric functions shows that the observers have great uncertainty about the relative timing of events, as seen the shallow psychometric slopes. A second indication of uncertainty comes from Libet's use of three response categories, A first; B first; and A and B simultaneous. The large number of "perceptually simultaneous" responses provides a further measure of the difficulty of the judgment. There are thus a very broad range of stimulus delays in which the subject is unable to make an accurate ordering response. These points provide evidence that there is no compelling reason to invent exotic or ad hoc mechanisms to account for Libet's data since the uncertainty window is large enough to allow simple mechanism such as memory shifts. Libet argued that his data provide evidence for a backward referral in time. I argue that even though Libet's own data are weak, there are good arguments for a backward referral mechanism to help the subject make sense out of the tangled chaos of asynchronous information associated with experienced events.     

Anatomy of posterior pathways in reading: a reassessment

Contemporary accounts of the neurology of reading stem from Dejerine's original visual-verbal disconnection hypothesis of pure alexia. Reassessment of Dejerine's traditional formulations for posterior left hemisphere pathways in reading suggests that the occipital cortex-left angular gyrus-Wernicke's area scheme is undoubtedly oversimplified. The role of left angular gyrus cortex in reading is unsettled, and although clinically undefined, more inferior portions of the left temporal lobe may also contribute to the reading process. Nevertheless, to a surprising extent, the neuroanatomic edifice erected by Dejerine remains largely intact.     

The deontological conception of epistemic justification: a reassessment

This paper undertakes two projects: Firstly, it offers a new account of the so-called deontological conception of epistemic justification (DCEJ). Secondly, it brings out the basic weaknesses of DCEJ, thus accounted for. It concludes that strong reasons speak against its acceptance. The new account takes it departure from William Alston’s influential work. Section 1 argues that a fair account of DCEJ is only achieved by modifying Alston’s account and brings out the crucial difference between DCEJ and the less radical position of epistemic deontologism. Section 2 starts by setting up two fundamental problems for proponents of DCEJ to solve. It argues further that proponents of DCEJ may not convincingly solve those problems by appeal to a notion of permissible belief. Section 3 investigates, whether an appeal to the notion of blameless belief may help DCEJ overcome its central problems. It argues that, even if an appeal to the notion of blameless belief has advantages over an appeal to the notion of permissible belief, DCEJ cannot convincingly overcome the problems set up for it. Further, it is brought out that DCEJ commits its proponents to a problematic non-standard view regarding the intrinsic value of epistemic justification. Section 4 concludes that DCEJ is not the natural conception of epistemic justification, that Alston takes it to be. However, its problems do not leave a scratch on epistemic deontologism, properly conceived.     

Model comparison of nonlinear structural equation models with fixed covariates

Recently, it has been recognized that the commonly used linear structural equation model is inadequate to deal with some complicated substantive theory. A new nonlinear structural equation model with fixed covariates is proposed in this article. A procedure, which utilizes the powerful path sampling for computing the Bayes factor, is developed for model comparison. In the implementation, the required random observations are simulated via a hybrid algorithm that combines the Gibbs sampler and the Metropolis-Hastings algorithm. It is shown that the proposed procedure is efficient and flexible; and it produces Bayesian estimates of the parameters, latent variables, and their highest posterior density intervals as by-products. Empirical performances of the proposed procedure such as sensitivity to prior inputs are illustrated by a simulation study and a real example.This research is fully supported by a grant from the Research Grant Council of the Hong Kong Special Administrative Region, China (Project No. CUHK 4346/01H). The authors are thankful to the Editor, the Associate Editor, and anonymous reviewers for valuable comments which improve the paper significantly, and grateful to ICPSR and the relevant funding agency for allowing use of the data in the example. The assistance of Michael K.H. Leung and Esther L.S. Tam is gratefully acknowledged.     

Using analysis of covariance (ANCOVA) with fallible covariates

Analysis of covariance (ANCOVA) is used widely in psychological research implementing nonexperimental designs. However, when covariates are fallible (i.e., measured with error), which is the norm, researchers must choose from among 3 inadequate courses of action: (a) know that the assumption that covariates are perfectly reliable is violated but use ANCOVA anyway (and, most likely, report misleading results); (b) attempt to employ 1 of several measurement error models with the understanding that no research has examined their relative performance and with the added practical difficulty that several of these models are not available in commonly used statistical software; or (c) not use ANCOVA at all. First, we discuss analytic evidence to explain why using ANCOVA with fallible covariates produces bias and a systematic inflation of Type I error rates that may lead to the incorrect conclusion that treatment effects exist. Second, to provide a solution for this problem, we conduct 2 Monte Carlo studies to compare 4 existing approaches for adjusting treatment effects in the presence of covariate measurement error: errors-in-variables (EIV; Warren, White, & Fuller, 1974), Lord's (1960) method, Raaijmakers and Pieters's (1987) method (R&P), and structural equation modeling methods proposed by S?rbom (1978) and Hayduk (1996). Results show that EIV models are superior in terms of parameter accuracy, statistical power, and keeping Type I error close to the nominal value. Finally, we offer a program written in R that performs all needed computations for implementing EIV models so that ANCOVA can be used to obtain accurate results even when covariates are measured with error.     

A measure of interrelationship for overlapping groups

A coefficient of interrelationship between overlapping groups that avoids indeterminacies inherent in the construction of fourfold tables for such purposes and, at the same time, is relatively insensitive to the absolute magnitude of marginal totals of fourfold tables, is developed. Under assumptions that are consistent with the objectives of organizational analysis, this coefficient is shown to be equivalent to a product-moment correlation coefficient. The advantages and limitations of this coefficient are pointed out. A numerical example giving computational procedures is presented.This measure was developed in connection with a study made by Dorothy C. Adkins (1). Her influence in the development was felt in many ways. The article was prepared while the author was employed at The University of North Carolina.     

Balint groups. A psychoanalytic critique

The author refers to two examples taken from the work of Balint groups in arguing that the social environment of the several participants is an integral component of what the group must reflect on. The notion of a group process dealing with "pure" cases is ideology. The author relates his argument to Parin's comments about "social critique in the interpretive process".     

Revisiting Case IV: A reassessment of bias and standard errors of Case IV under range restriction

In 2004, Hunter and Schmidt proposed a correction (called Case IV) that seeks to estimate disattenuated correlations when selection is made on an unmeasured variable. Although Case IV is an important theoretical development in the range restriction literature, it makes an untestable assumption, namely that the partial correlation between the unobserved selection variable and the performance measure is zero. We show in this paper why this assumption may be difficult to meet and why previous simulations have failed to detect the full extent of bias. We use meta‐analytic literature to investigate the plausible range of bias. We also show how Case IV performs in terms of standard errors. Finally, we give practical recommendations about how the contributions of Hunter and Schmidt (2004) can be extended without making such stringent assumptions.     

Extending exploratory diagnostic classification models: Inferring the effect of covariates

Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine-grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods for incorporating student covariates into diagnostic models. Including covariates may provide researchers and practitioners with the ability to evaluate novel interventions or understand the role of background knowledge in attribute mastery. Existing research is designed to include covariates in confirmatory diagnostic models, which are also known as restricted latent class models. We propose new methods for including covariates in exploratory RLCMs that jointly infer the latent structure and evaluate the role of covariates on performance and skill mastery. We present a novel Bayesian formulation and report a Markov chain Monte Carlo algorithm using a Metropolis-within-Gibbs algorithm for approximating the model parameter posterior distribution. We report Monte Carlo simulation evidence regarding the accuracy of our new methods and present results from an application that examines the role of student background knowledge on the mastery of a probability data set.     

Frequency,complexity, and clarity as covariates of observer reliability

Factors affecting interobserver agreement (reliability) with a comprehensive coding system in the naturalistic observation of children were examined. Data from 117 pairs of observations on 35 children and their families were examined with respect to reliability and three possible covariates: response frequency, observation complexity, and code definition clarity. Analysis of results strongly supported response frequency as a positive covariate of interobserver agreement. Complexity was found to negatively covary with interobserver agreement. The relationship between code clarity and reliability was in the predicted direction but failed to obtain statistical significance. Implications for observer training and data collection in observational studies are discussed.An earlier version of this article was prepared for presentation at The Association for the Advancement of Behavior Therapy, Atlanta, Georgia, December 1977.