Memory for numbers: Nominal vs. magnitude information

Across three paired associate learning experiments, the recall of four-digit number responses to word stimuli favored the most significant digit over the least significant (magnitude encoding rather than exhibiting typical bowed serial position functions (nominal encoding). Only with instructions emphasizing exact recall of each individual digit did recall functions revert to bowed curves. The results are interpreted as evidence for two kinds of number coding in semantic memory.     

Statistics as psychometrics

In this paper, modern statistics is considered as a branch of psychometrics and the question of how the central problems of statistics can be resolved using psychometric methods is investigated. Theories and methods developed in the fields of test theory, scaling, and factor analysis are related to the principle problems of modern statistical theory and method. Topics surveyed include assessment of probabilities, assessment of utilities, assessment of exchangeability, preposterior analysis, adversary analysis, multiple comparisons, the selection of predictor variables, and full-rank ANOVA. Reference is made to some literature from the field of cognitive psychology to indicate some of the difficulties encountered in probability and utility assessment. Some methods for resolving these difficulties using the Computer-Assisted Data Analysis (CADA) Monitor are described, as is some recent experimental work on utility assessment.1980 Psychometric Society presidential address.I am indebted to Paul Slovic and David Libby for valuable consultation on the issues discussed in this paper and to Nancy Turner and Laura Novick for assistance in preparation.Research reported herein was supported under contract number N00014-77-C-0428 from the Office of Naval Research to The University of Iowa, Melvin R. Novick, principal investigator. Opinions expressed herein reflect those of the author and not those of sponsoring agencies.     

Bayesian inference and the classical test theory model: Reliability and true scores

A general one-way analysis of variance components with unequal replication numbers is used to provide unbiased estimates of the true and error score variance of classical test theory. The inadequacy of the ANOVA theory is noted and the foundations for a Bayesian approach are detailed. The choice of prior distribution is discussed and a justification for the Tiao-Tan prior is found in the particular context of the “n-split” technique. The posterior distributions of reliability, error score variance, observed score variance and true score variance are presented with some extensions of the original work of Tiao and Tan. Special attention is given to simple approximations that are available in important cases and also to the problems that arise when the ANOVA estimate of true score variance is negative. Bayesian methods derived by Box and Tiao and by Lindley are studied numerically in relation to the problem of estimating true score. Each is found to be useful and the advantages and disadvantages of each are discussed and related to the classical test-theoretic methods. Finally, some general relationships between Bayesian inference and classical test theory are discussed. Supported in part by the National Institute of Child Health and Human Development under Research Grant 1 PO1 HDO1762. Reproduction, translation, use or disposal by or for the United States Government is permitted.     

Some comments on masochism and the delusion of omnipotence from a developmental perspective.

This paper explores the relation of the delusion of omnipotence to masochism and suggests that this fantasy constitutes a major component of the resistance so prominent in work with masochistic patients. The connections among masochism, omnipotence, negative therapeutic reaction, and clinging to pain are discussed. The classical view has been that the failure of infantile omnipotence forces the child to turn to reality. Our experience with masochistic patients suggests that it is the real failure to achieve competent interactions with others that forces the child to turn to omnipotent solutions. The distinction is made between fantasies that enhance the real capacities of the self and those aimed at denying and transforming the pain and inadequacy of the mother-child relationship. The epigenetic transformations of omnipotent fantasies through all levels of development are described. The patient's need to protect the omnipotent fantasy is discussed in relation to resistance at each phase of analysis.     

Cognitive control and parsing: Reexamining the role of Broca’s area in sentence comprehension

A century of investigation into the role of the human frontal lobes in complex cognition, including language processing, has revealed several interesting but apparently contradictory findings. In particular, the results of numerous studies suggest that left inferior frontal gyrus (LIFG), which includes Broca’s area, plays a direct role in sentence-level syntactic processing. In contrast, other brain-imaging and neuropsychological data indicate that LIFG is crucial for cognitive control—specifically, for overriding highly regularized, automatic processes, even when a task involves syntactically undemanding material (e.g., single words, a list of letters). We provide a unifying account of these findings, which emphasizes the importance of general cognitive control mechanisms for the syntactic processing of sentences. On the basis of a review of the neurocognitive and sentence-processing literatures, we defend the following three hypotheses: (1) LIFG is part of a network of frontal lobe subsystems that are generally responsible for the detection and resolution of incompatible stimulus representations; (2) the role of LIFG in sentence comprehension is to implement reanalysis in the face of misinterpretation; and (3) individual differences in cognitive control abilities in nonsyntactic tasks predict correlated variation in sentence-processing abilities pertaining to the recovery from misinterpretation.     

Psychoanalysis and Child Rearing

In this article we suggest that current controversies around the psychoanalytic concepts of narcissism, omnipotence, specialness, and so forth derive from reliance on a single-track developmental model. A single-track model, used implicitly or explicitly by almost all psychoanalytic theorists, posits that normal infants and children function in ways that would be considered pathological in later life. This way of thinking is contradicted by modern infant and developmental research. Additionally, it contradicts common-sense experience and is, therefore, not a useful model for parenting. On the other hand, Freud and many other writers also posited a dual-track model, which simultaneously allows for both healthy and pathological choices throughout life. In this article, we describe some of the ways in which a dual-track model, which we have elaborated as two systems of self-regulation, can be usefully applied to theory, technique, and applications with all those involved with children.     

Brief Communications

Abstract

Evidence-based psychotherapy is typically based on treatment outcome for the “average” patient in aggregate designs; reports on individual non-responders are rarely published. In this observational study, we explored factors that might have contributed to non-response in long-term dynamic group psychotherapy. Eight patients (14%) who did not change were compared with 48 treatment responders on clinical variables, and their case stories were retrospectively scrutinized for explanatory factors. The non-responders had less initial distress, stayed for shorter durations in therapy, and were more dissatisfied with their group and therapists. Based on detailed case stories, attempts are made to tease out idiographic hypotheses why each patient did not change during group analysis.     

Causes versus enabling conditions.

People distinguish between a cause (e.g., a malfunctioning component in an airplane causing it to crash) and a condition (e.g., gravity) that merely enables the cause to yield its effect. This distinction cannot be explained by accounts of reasoning formulated purely in terms of necessity and sufficiency, because causes and enabling conditions hold the same logical relationship to the effect in those terms. Proposals to account for this apparent deviation from accounts based on necessity and sufficiency may be classified into three types. One approach explains the distinction in terms of an inferential rule based on the normality of the potential causal factors. Another approach explains the distinction in terms of the conversational principle of being informative to the inquirer given assumptions about his or her state of knowledge. The present paper evaluates variants of these two approaches, and presents our probabilistic contrast model, which takes a third approach. This approach explains the distinction between causes and enabling conditions by the covariation between potential causes and the effect in question over a focal set--a set of events implied by the context. Covariation is defined probabilistically, with necessity and sufficiency as extreme cases of the components defining contrasts. We report two experiments testing our model against variants of the normality and conversational views.     

A probabilistic contrast model of causal induction

Deviations from the predictions of covariational models of causal attribution have often been reported in the literature. These include a bias against using consensus information, a bias toward attributing effects to a person, and a tendency to make a variety of unpredicted conjunctive attributions. It is contended that these deviations, rather than representing irrational biases, could be due to (a) unspecified information over which causal inferences are computed and (b) the questionable normativeness of the models against which these deviations have been measured. A probabilistic extension of Kelley's analysis-of-variance analogy is proposed. An experiment was performed to assess the above biases and evaluate the proposed model against competing ones. The results indicate that the inference process is unbiased.