Measuring automatic retrieval: a comparison of implicit memory, process dissociation, and speeded response procedures

Using the stem completion task, we compared estimates of automatic retrieval from an implicit memory task, the process dissociation procedure, and the speeded response procedure. Two standard manipulations were employed. In Experiment 1, a depth of processing effect was found on automatic retrieval using the speeded response procedure although this effect was substantially reduced in Experiment 2 when lexical processing was required of all words. In Experiment 3, the speeded response procedure showed an advantage of full versus divided attention at study on automatic retrieval. An implicit condition showed parallel effects in each study, suggesting that implicit stem completion may normally provide a good estimate of automatic retrieval. Also, we replicated earlier findings from the process dissociation procedure, but estimates of automatic retrieval from this procedure were consistently lower than those from the speeded response procedure, except when conscious retrieval was relatively low. We discuss several factors that may contribute to the conflicting outcomes, including the evidence for theoretical assumptions and criterial task differences between implicit and explicit tests.     

The relationship between age, verbal working memory, and language comprehension

A structural modeling approach was used to examine the relationships between age, verbal working memory (vWM), and 3 types of language measures: online syntactic processing, sentence comprehension, and text comprehension. The best-fit model for the online-processing measure revealed a direct effect of age on online sentence processing, but no effect mediated through vWM. The best-fit models for sentence and text comprehension included an effect of age mediated through vWM and no direct effect of age. These results indicate that the relationship among age, vWM, and comprehension differs depending on the measure of language processing and support the view that individual differences in vWM do not affect individuals' online syntactic processing.     

Assessing worry in older adults: confirmatory factor analysis of the Penn State Worry Questionnaire and psychometric properties of an abbreviated model

The assessment of worry among older adults typically has involved measures designed with younger cohorts. Because of special concerns in assessing older adults, modifications to existing instruments may be necessary. Addressing equivocal factor analytic data on the Penn State Worry Questionnaire (PSWQ) among younger adults, the authors conducted confirmatory factor analyses to evaluate the generalizability of previous models to older adults with generalized anxiety disorder. Data fit poorly with established single- and two-factor models. The single-factor model was modified, resulting in the elimination of 8 items, strong fit indices, high internal consistency, adequate test-retest reliability, and good convergent and divergent validity. Further psychometric work is required to assess whether the revised model is a more parsimonious method to assess late-life anxiety.     

Exploring the influence of personality on depressive symptoms and self-esteem across a significant life transition

This study investigates the influence of personality on adjustment to a particular life transition, community relocation. Participants were 285 women (average age=69.5) who were interviewed once before they moved, and then multiple times after the move. Within the context of this multiwave design, personality traits were used to predict changes in depressive symptoms (DS) and self-esteem (SE) across the move. Neuroticism and Openness to Experience predicted increases in DS over time, whereas Extraversion and Openness predicted increases in SE. Stressful reactions to the move and sense of mastery about the move partially mediated these effects. The study documents the dynamic influence of personality on positive and negative aspects of adjustment and investigates differing routes through which such effects occur.     

The Limits Of Human Nature

It has become increasingly common recently to construe human natureas setting some pretty stringent limits to moral endeavour. Many consequentialists, in particular, take considerations concerning human nature to defeat certain demanding norms that would otherwise follow from their theory.One argument is that certain commitments ground psychological incapacitiesthat prevent us from doing what would maximize the good. Another is that we would be likely to suffer some kind of psychological demoralization if we tried to become significantly more selfless. I argue that influential versions of both of these arguments underestimate our deliberative resources, and also fail to examine the kind of moral sources that may be able to sustain rigorous moral endeavour. Pessimism about our capacities for such endeavour results from the neglect of these factors, rather than from uncovering any significant limitations in human nature.     

Disciplinary roots and branches of evaluation: Some lessons from agricultural research

Since its origins in North America in the 1960s, the field of program evaluation has grown considerably, and its concerns have broadened from accountability to program improvement, decision support, and institutional learning. Program evaluation is now commonly practiced in governmental organizations not only in North America but also in many countries of Western Europe and Oceania. Although program evaluation is a relatively new field with many controversies and lively debates, a unifying body of evaluation theory, methods, and standards is gradually emerging. Evaluation has recently been described as a “transdiscipline,” as are statistics and measurement. This article is based largely on my personal experiences working in agricultural research organizations in developing regions. Here, a number of different types of evaluation are carried out, but program evaluation as defined by Patton (1997) and as practiced by social scientists to assess public programs is largely unknown. Distinct branches of agricultural research evaluation can be identified, with disciplinary roots in the natural sciences and in agricultural economics. The most rigorous agricultural research evaluations are economic studies. Systematic internal evaluation is notably lacking. Current pressures to improve performance, transparency, and accountability are creating demands for more systematic evaluation, and many program evaluation concepts and methods would seem to be of value in agricultural research organizations. However, in the current scenario of declining funding for agricultural research, managers are yet to be convinced to expand their evaluation activities and explore unfamiliar paradigms and methods. Moreover, they are not yet convinced that social-science-based program evaluation would produce useful results. Natural scientists and economists tend to view program evaluation as “soft-science” or no science at all. Douglas Horton works at the International Service for National Agricultural Research (ISNAR) in The Netherlands. Since joining ISNAR in early 1990, he has done research, training, and advisory work on agricultural research management, with an emphasis on evaluation. Previously, for fifteen years, Horton was head of the social science department of the International Potato Center (CIP) in Peru. With colleagues at CIP and in national agricultural research organizations, he documented patterns and trends in world potato production and use, engaged in participatory technology development and assessed the impact of CIP programs. Horton received B.S. and M.S. degrees in agricultural economics from the University of Illinois, and a Ph.D. in economics from Cornell University. While at Cornell, Horton worked with W.F. Whyte, pioneer in the fields of participant observation and participatory action research.     

Professional Development in Social Justice: Analysis of American Counseling Association Conference Programming

This study was designed as a content analysis of 2012–2017 American Counseling Association conference sessions to examine how social justice was presented. Four findings emerged from the qualitative content analysis: (a) rates of social justice sessions varied over time; (b) there were more multicultural sessions than social justice sessions; (c) populations that were addressed least often and most often were identified; and (d) there was a decline in the number of social justice content sessions. Implications are presented.     

Comparing predictive validity in a community sample: High-dimensionality and traditional domain-and-facet structures of personality variation

Prediction of outcomes is an important way of distinguishing, among personality models, the best from the rest. Prominent previous models have tended to emphasize multiple internally consistent “facet” scales subordinate to a few broad domains. But such an organization of measurement may not be optimal for prediction. Here, we compare the predictive capacity and efficiency of assessments across two types of personality-structure model: conventional structures of facets as found in multiple platforms, and new high-dimensionality structures emphasizing those based on natural-language adjectives, in particular lexicon-based structures of 20, 23, and 28 dimensions. Predictions targeted 12 criterion variables related to health and psychopathology, in a sizeable American community sample. Results tended to favor personality-assessment platforms with (at least) a dozen or two well-selected variables having minimal intercorrelations, without sculpting of these to make them function as indicators of a few broad domains. Unsurprisingly, shorter scales, especially when derived from factor analyses of the personality lexicon, were shown to take a more efficient route to given levels of predictive capacity. Popular 20^th-century personality-assessment models set out influential but suboptimal templates, including one that first identifies domains and then facets, which compromise the efficiency of measurement models, at least from a comparative-prediction standpoint. © 2020 European Association of Personality Psychology     

Understanding the attraction process

A comprehensive model of interpersonal attraction is presented in which attraction is an emotion expressed to regulate interpersonal relationships. The model proposes that cognitive appraisals, the subjective experience, and the expression of affiliative behavior are fundamental to understanding how attraction operates. Specifically, we discuss how (a) cognitive appraisals (willingness and ability) are fundamental to the subjective experience of attraction, (b) social dilemma considerations affect when and why the subjective experience aligns with the expression of affiliative behavior, (c) the interplay of the components of attraction explain the panoply of extant attraction phenomena, and (d) the attraction process operates in both initial interactions and enduring relationships. We conclude with a discussion of methodological and theoretical directions to fuel future growth.