Measuring category intuitiveness in unconstrained categorization tasks

What makes a category seem natural or intuitive? In this paper, an unsupervised categorization task was employed to examine observer agreement concerning the categorization of nine different stimulus sets. The stimulus sets were designed to capture different intuitions about classification structure. The main empirical index of category intuitiveness was the frequency of the preferred classification, for different stimulus sets. With 169 participants, and a within participants design, with some stimulus sets the most frequent classification was produced over 50 times and with others not more than two or three times. The main empirical finding was that cluster tightness was more important in determining category intuitiveness, than cluster separation. The results were considered in relation to the following models of unsupervised categorization: DIVA, the rational model, the simplicity model, SUSTAIN, an Unsupervised version of the Generalized Context Model (UGCM), and a simple geometric model based on similarity. DIVA, the geometric approach, SUSTAIN, and the UGCM provided good, though not perfect, fits. Overall, the present work highlights several theoretical and practical issues regarding unsupervised categorization and reveals weaknesses in some of the corresponding formal models

Evaluation of Techniques for Structuring Multi-Criteria Decision Problems

This article seeks to overcome the problem of structuring multi-criteria decision problems in a scientifically valid way. For this purpose, we theoretically and empirically compare two techniques which can be used for the purpose of structuring problem domains: card sorting procedures and statistical web mining. Based on two empirical test cases we assess whether decision structuring is reliable regarding the applied structuring method and whether the resulting hierarchies are valid representations of the decision problem at hand. The results indicate that the two techniques lead to quite different goal-criteria hierarchies and that web mining does not produce useful problem representations. In contrast, card sorting seems to be a valid structuring technique. We explain these results by the fact that card sorting procedures are interpretive techniques which are able to deal with vague concepts (criteria) while web mining, as a purely statistical approach, does not work well with ambiguous concepts

Beyond subjective and objective in statistics

We argue that the words "objectivity" and "subjectivity" in statistics discourse are used in a mostly unhelpful way, and we propose to replace each of them with broader collections of attributes, with objectivity replaced by transparency, consensus, impartiality, and correspondence to observable reality, and subjectivity replaced by awareness of multiple perspectives and context dependence. The advantage of these reformulations is that the replacement terms do not oppose each other. Instead of debating over whether a given statistical method is subjective or objective (or normatively debating the relative merits of subjectivity and objectivity in statistical practice), we can recognize desirable attributes such as transparency and acknowledgment of multiple perspectives as complementary goals. We demonstrate the implications of our proposal with recent applied examples from pharmacology, election polling, and socioeconomic stratification.Comment: 35 page

Social Beliefs, Agonistic Goals, Anger, and Biased Perceptions of Outgroups: A Social Action Theory of Covert Racial Prejudice

Racial prejudice and discrimination are an important societal and public health problem. Approaches to understanding the origins of prejudice and discrimination have focused on attitudes, both overt (explicit) and covert (implicit). But attitudes correlate only modestly with implicit biases and explicit discriminatory behavior. Drawing on Social Action Theory, this study tested the hypothesis that the relationship between racial attitudes and implicit biases / overt discrimination is moderated by socially-induced personal regulatory struggles that take the form of agonistic striving, or persistently seeking to influence or control other people. The research tested the hypotheses that agonistic striving fosters implicit racial biases and discrimination by (a) inducing states of hyper-alert vigilance to social threats; and (b) fostering reactive anger when personal strivings are threatened. These reactions magnify the connection between disparaging social beliefs about subordinate groups and the perception that individuals from this group are dangerous. Participants were 150 college students (mean age = 18.8 +1.4 years); 57% female; Caucasian) enrolled in an introductory psychology course. Social beliefs were assessed with the Modern Racism Scale and the Social Dominance Orientation scale; agonistic strivings with the Social Competence Interview; covert racial biases with the Race Implicit Association Test; and explicit racial discrimination behavior with a job qualifications rating task. The social action theory taxonomy of regulatory strivings was replicated in this sample. Tests of study hypothesis indicated that implicit racial biases were associated with social dominance beliefs but not with modern racism, agonistic vigilance, or reactive anger. Overt racial discrimination was associated with agonistic reactive anger but not with agonistic vigilance or social beliefs. Findings suggest ways to improve research on racial discrimination, and point to social-structural and psycho-educational interventions to curb discrimination and enhance public health

Designing IS service strategy: an information acceleration approach

Information technology-based innovation involves considerable risk that requires insight and foresight. Yet, our understanding of how managers develop the insight to support new breakthrough applications is limited and remains obscured by high levels of technical and market uncertainty. This paper applies a new experimental method based on “discrete choice analysis” and “information acceleration” to directly examine how decisions are made in a way that is behaviourally sound. The method is highly applicable to information systems researchers because it provides relative importance measures on a common scale, greater control over alternate explanations and stronger evidence of causality. The practical implications are that information acceleration reduces the levels of uncertainty and generates a more accurate rationale for IS service strategy decisions

Cognitive heuristics in borderline personality disorder across treatment: A longitudinal non-parametric analysis.

The development of a constructive therapeutic alliance may represent an important feature of interpersonal adaptation in clients with Borderline Personality Disorder (BPD). The present study explores cognitive heuristics as dynamic features of change in relationship with the therapeutic alliance in the treatment of BPD. In total, N = 60 clients with BPD, are included in the present study. In the context of brief therapy, the therapeutic alliance (WAI) is assessed from the client and the therapist perspectives after each therapy session; cognitive heuristics are assessed three times (CERS). The data analyses are on the basis of non-parametric clusters (kml3d) linked with the therapeutic alliance. The results showed that clusters of cognitive heuristics trajectories are linked with the client's therapeutic alliance (t(55) = 2.30, p = .03), but they remained unrelated with the evolution of the therapist's alliance. These results are discussed with regard to the interpersonal adaptiveness of cognitive heuristics in the context of BPD undergoing treatment

TB STIGMA – MEASUREMENT GUIDANCE

TB is the most deadly infectious disease in the world, and stigma continues to play a significant role in worsening the epidemic. Stigma and discrimination not only stop people from seeking care but also make it more difficult for those on treatment to continue, both of which make the disease more difficult to treat in the long-term and mean those infected are more likely to transmit the disease to those around them. TB Stigma – Measurement Guidance is a manual to help generate enough information about stigma issues to design and monitor and evaluate efforts to reduce TB stigma. It can help in planning TB stigma baseline measurements and monitoring trends to capture the outcomes of TB stigma reduction efforts. This manual is designed for health workers, professional or management staff, people who advocate for those with TB, and all who need to understand and respond to TB stigma

Professional Decision-Making in Research (PDR): The validity of a new measure

In this paper, we report on the development and validity of the Professional Decision-Making in Research (PDR) measure, a vignette-based test that examines decision-making strategies used by investigators when confronted with challenging situations in the context of empirical research. The PDR was administered online with a battery of validity measures to a group of NIH-funded researchers and research trainees who were diverse in terms of age, years of experience, types of research, and race. The PDR demonstrated adequate reliability (alpha = .84) and parallel form correlation (r = .70). As hypothesized, the PDR was significantly negatively correlated with narcissism, cynicism, moral disengagement, and compliance disengagement; it was not correlated with socially desirable responding. In regression analysis, the strongest predictors of higher PDR scores were low compliance disengagement, speaking English as a native language, conducting clinical research with human subjects, and low levels of narcissism. Given that the PDR was written at an eighth grade reading level to be suitable for use with English as a second language participants and that only one-fourth of items focused on clinical research, further research into the possible roles of culture and research ethics training across specialties is warranted. This initial validity study demonstrates the potential usefulness of the PDR as an educational outcome assessment measure and a research instrument for studies on professionalism and integrity in research

Decision-making between rationality and intuition: effectiveness conditions and solutions to enhance decision efficacy

Decision-making, one process, many theories: a multidisciplinary literature review. How individual and environmental factors interact and influence the effectiveness of strategic decisions through rational and intuitive dynamics. Mentoring and the promotion of self-confidence in decision-making: the role of cognitive awareness and expertise building through the lenses of rationality and intuition

Cognitive errors assessed by observer ratings in bipolar affective disorder: relationship with symptoms and therapeutic alliance

The construct of cognitive errors is clinically relevant for cognitive therapy of mood disorders. Beck's universality hypothesis postulates the relevance of negative cognitions in all subtypes of mood disorders, as well as positive cognitions for manic states. This hypothesis has rarely been empirically addressed for patients presenting bipolar affective disorder (BD). In-patients (n = 30) presenting with BD were interviewed, as were 30 participants of a matched control group. Valid and reliable observer-rater methodology for cognitive errors was applied to the session transcripts. Overall, patients make more cognitive errors than controls. When manic and depressive patients were compared, parts of the universality hypothesis were confirmed. Manic symptoms are related to positive and negative cognitive errors. These results are discussed with regard to the main assumptions of the cognitive model for depression; thus adding an argument for extending it to the BD diagnostic group, taking into consideration specificities in terms of cognitive errors. Clinical implications for cognitive therapy of BD are suggeste