Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.     

Neutrality in the analysis of action-prone adolescents

An adolescent patient's action during analysis reflects both neurotic conflicts and the developmentally determined task of establishing an integrated self-representation. Concern for the consequences of the action often provokes the analyst to respond, covertly, with interventions intended to change the action through influence rather than understanding. This can lead to a distortion of the analytic process which, in itself, may be an enactment of the developmental conflict. Examination of such interventions reveals a lack of analytic neutrality and an unconscious participation in the patient's neurotic and developmental conflicts. Clinical material from the analyses of two fourteen-year-old girls and a sixteen-year-old boy is presented to illustrate and support this hypothesis.     

Philosophy and the analysis of language

Elster's understanding of Marx is reviewed in three areas: the theory of value, the theory of history, and dialectics. In each area Elster goes astray in quite superficial ways, not instructive ones. There is a simple underlying reason in almost every case, viz. that Elster fails to confront the distinction in the philosophy of science between the methods of atomism and essentialism. Since Marx was an essentialist, Elster's attempt to assimilate Marx to the atomist tradition has as much serious interest as attempts to show that Kant was a utilitarian, Hegel a classical empiricist, or whales fishes. The conclusions are that the book is an unsympathetic treatment of Marx, that it is lacking in scholarship and balance, and that the standard of argument is unusually poor.     

On the technique of analysis of the superego--an introduction

As a result of Freud's ambiguity (and that of later analysts) regarding the nature of the superego and how to treat it in clinical practice, it has taken many years and many theoreticians to move from Freud's predilection to use it for purposes of "suggestion" in overcoming resistance, toward the concept of the superego as part of the ego's hierarchically mobilized defensive activities in the analytical process. Although much ambiguity persists, an attempt is made here to reduce it so that analytical technique may move forward to allow the superego to be analyzed as an unconscious conflict solution.     

Behavior analysis and the R&D paradigm

This paper considers research and development (R&D) as a style of investigation that holds promise for the field of behavior analysis. Contrasted with academic-style research, R&D tends to be highly targeted toward achievement of specific outcomes, which are determined by a user community. R&D is typically multidisciplinary in character and is coordinated by a funding source. R&D usually includes extensive field testing and systematically addresses technology transfer. A program of R&D focused on detector dogs serves as an exemplar of this approach for behavior analysis.     

Mourning analysis: the post-termination phase

One hundred twenty-one analytic candidates who had completed training analysis responded to a survey about their post-termination experience. Seventy-six percent of respondents experienced a mourning process that lasted on average between six months and a year, while 24 per cent experienced no discernible sense of painful loss. Twenty candidates were interviewed to obtain a deeper understanding of the mourning process that follows analysis. During the post-termination phase, the analysand's self-analytic capacity is tested in the struggle to contain and understand feelings about the loss of the analyst, as well as transference reactions triggered by that loss. After a "good-enough analysis," the analysand internalizes not only the analyst's functions and attitudes toward him or her, but also a sustaining, positive internal image of the analyst. Four cases illustrate unexpected difficulties that may emerge during the post-termination phase when the loss of the analyst is experienced as a repetition of earlier, traumatic losses or as a rupture of an unanalyzed, selfobject transference.     

Economic concepts for the analysis of behavior

A review of the relationship between schedule of reinforcement, response rate, and choice suggests that certain unifying concepts from economics can contribute to a more complete science of behavior. Four points are made: 1) a behavioral experiment is an economic system and its characteristics—open or closed—can strongly determine the results; 2) reinforcers can be distinguished by a functional property called elasticity; 3) reinforcers may interact as complements as well as substitutes; 4) no simple choice rule, such as strict matching, can account for all choice behavior.     

Developing behavior analysis at the state level

Over the past fifteen years, behavior analysts in Florida have worked together to develop the discipline with a multifaceted system of contingencies. Basing their effort in the area of retardation and with the cooperation of the state's Developmental Services Program Office, they have gradually developed a regulatory manual of programming policy and procedures, a hierarchical system of responsibilities for programming approval and monitoring, a state-sponsored certification program, a professional association, and an active university community. These components are described and discussed in terms of suggested principles for developing the field of behavior analysis within a state.     

Constructing the past: An existential-phenomenological analysis

Beginning with a critical overview of more typical therapeutic assumptions regarding linear causality and the fixedness and constancy of the past, this paper argues from a perspective that emphasises 1) the distinction between the past per se and the remembered past; and 2) the fluidity of the remembered past. the author then presents an alternative argument, derived from existential-phenomenological analysis, that the principal function of the remembered past is to both reflect and validate the currently maintained and future-directed self-construct. Some initial implications for psychotherapy and counselling raised by this hypothesis are discussed both generally and via a brief case vignette.     

A note on the analysis of subjective judgment matrices

Saaty (1977–1983) presents an eigenvector (EV) procedure for analyzing matrices of subjective estimates of the utility of one entity relative to another. The procedure is an especially effective tool for analyzing hierarchical problems where the dependence of the entities at one level on the entities in adjacent levels is estimated subjectively. Despite the absence of a formal proof that the procedure has desirable qualities as an estimator of the underlying relative utilities, the process has gained an active following. This paper derives a comparable estimate, the geometric mean (GM) vector (also known as the logarithmic least squares method or LLSM), that can be applied to hierarchical problems in exactly the same way but is developed from statistical considerations. It is shown to be optimal when the judge's errors are multiplicative with a lognormal distribution. The GM shares the desirable qualities of the EV and is preferable to it in several important respects.     

Some supplementary methods for the analysis of the Delis-Kaplan Executive Function System

Supplementary methods for the analysis of the Delis-Kaplan Executive Function System (Delis, Kaplan, & Kramer, 2001) are made available, including (a) quantifying the number of abnormally low achievement scores exhibited by an individual and accompanying this with an estimate of the percentage of the normative population expected to exhibit at least this number of low scores; (b) estimating the overall abnormality of an individual's achievement score profile with the Mahalanobis distance index; (c) calculating a composite executive function index score for an individual and providing accompanying confidence limits; and (d) providing the percentile ranks for an individual's achievement scores and executive index score (in the latter case, confidence limits on scores are also expressed as percentile ranks). With the exception of the Mahalanobis distance index, all the methods can be obtained with the equations and tables provided in this article. However, for the convenience of clinicians and to reduce the possibility of clerical error, the methods have also been implemented in a computer program. More important, the program allows the methods to be applied when only a subset of scores is available. The program can be downloaded (as a zip file) from this article's supplemental materials or from www.abdn.ac.uk/~psy086/dept/DKEFS_Supplementary_Analysis.htm.     

Embodying analysis: the body and the therapeutic process

This paper considers the transfer of somatic effects from patient to analyst, which gives rise to embodied countertransference, functioning as an organ of primitive communication. By means of processes of projective identification, the analyst experiences somatic disturbances within himself or herself that are connected to the split‐off complexes of the analysand. The analysty’s own attempt at mind‐body integration ushers the patient towards a progressive understanding and acceptance of his or her inner suffering. Such experiences of psychic contagion between patient and analyst are related to Jung’s ‘psychology of the transference’ and the idea of the ‘subtle body’ as an unconscious shared area. The re‐attribution of meaning to pre‐verbal psychic experiences within the ‘embodied reverie’ of the analyst enables the analytic dyad to reach the archetypal energies and structuring power of the collective unconscious. A detailed case example is presented of how the emergence of the vitalizing connection between the psyche and the soma, severed through traumatic early relations with parents or carers, allows the instinctual impulse of the Self to manifest, thereby reactivating the process of individuation.     

Ideology and the functional analysis of cultures

Sociology can be free from appraising value judgments, but characterizing value judgments are inseparable from it. It is thus a science that deals with the same questions as ideology reckons with, although in a purely characterizing way. Part of its concern is to judge cultures and it does this by measuring properties inherent in them. A culture is an ordering of symbols for a meaningful, dignified life. The dimensions for measuring any culture are (1) the sufficiency of its symbols, (2) their attractive power through meaningful inclusion in coherent wholes, (3) their consistency through absorption into a single reference system and (4) their appositeness to human needs.     

A signal detection analysis of the recognition heuristic

The recognition heuristic uses a recognition decision to make an inference about an unknown variable in the world. Theories of recognition memory typically use a signal detection framework to predict this binary recognition decision. In this article, I integrate the recognition heuristic with signal detection theory to formally investigate how judges use their recognition memory to make inferences. The analysis reveals that false alarms and misses systematically influence the performance of the recognition heuristic. Furthermore, judges should adjust their recognition response criterion according to their experience with the environment to exploit the structure of information in it. Finally, the less-is-more effect is found to depend on the distribution of cue knowledge and judges’ sensitivity to the difference between experienced and novel items. Theoretical implications of this bridge between the recognition heuristic and models of recognition memory are discussed.     

On methods in the analysis of profile data

This paper is concerned with methods for analyzing quantitative, non-categorical profile data, e.g., a battery of tests given to individuals in one or more groups. It is assumed that the variables have a multinormal distribution with an arbitrary variance-covariance matrix. Approximate procedures based on classical analysis of variance are presented, including an adjustment to the degrees of freedom resulting in conservativeF tests. These can be applied to the case where the variance-covariance matrices differ from group to group. In addition, exact generalized multivariate analysis methods are discussed. Examples are given illustrating both techniques.We are indebted to Mrs. Norma French for performing all the calculations appearing in this paper.     

A two-state analysis of fixed-interval responding in the pigeon

The behavior of pigeons on six geometrically spaced fixed-interval schedules ranging from 16 to 512 sec is described as a two-state process. In the first state, which begins immediately after reinforcement, response rate is low and constant. At some variable time after reinforcement there is an abrupt transition to a high and approximately constant rate. The point of rapid transition occurs, on the average, at about two-thirds of the way through the interval. Response rate in the second state is an increasing, negatively accelerated function of rate of reinforcement in the second state.