Administering Quantitative Instruments With Qualitative Interviews: A Mixed Research Approach

The authors demonstrate how collecting quantitative data via psychometrically sound quantitative instruments during the qualitative interview process enhances interpretations by helping researchers better contextualize qualitative findings, specifically through qualitative dominant crossover mixed analyses. They provide an example of this strategy, whereby a baseline was established using a quantitative scale and normative data to help interpret qualitative interviews, resulting in what they call a mixed methods interview. Philosophical and practical implications are discussed.     

Data Collection in a Flat World: The Strengths and Weaknesses of Mechanical Turk Samples

Mechanical Turk (MTurk), an online labor system run by Amazon.com, provides quick, easy, and inexpensive access to online research participants. As use of MTurk has grown, so have questions from behavioral researchers about its participants, reliability, and low compensation. In this article, we review recent research about MTurk and compare MTurk participants with community and student samples on a set of personality dimensions and classic decision‐making biases. Across two studies, we find many similarities between MTurk participants and traditional samples, but we also find important differences. For instance, MTurk participants are less likely to pay attention to experimental materials, reducing statistical power. They are more likely to use the Internet to find answers, even with no incentive for correct responses. MTurk participants have attitudes about money that are different from a community sample's attitudes but similar to students' attitudes. Finally, MTurk participants are less extraverted and have lower self‐esteem than other participants, presenting challenges for some research domains. Despite these differences, MTurk participants produce reliable results consistent with standard decision‐making biases: they are present biased, risk‐averse for gains, risk‐seeking for losses, show delay/expedite asymmetries, and show the certainty effect—with almost no significant differences in effect sizes from other samples. We conclude that MTurk offers a highly valuable opportunity for data collection and recommend that researchers using MTurk (1) include screening questions that gauge attention and language comprehension; (2) avoid questions with factual answers; and (3) consider how individual differences in financial and social domains may influence results. Copyright © 2012 John Wiley & Sons, Ltd.     

Why religious nationalists are not fundamentalists

J. W. Nicholas, Psience—a general theory of existence, Reality revealed—the theory of multidimensional reality Call Adonoi—manual of practical cabalah and gestalt mysticism The Expanding Force in Newton's Cosmos D. Vogt &; G. Sultan, Vector Associates, San Jose (California), 1977, 460 pp;

A. L. Schutz, Quantal, Goleta (California), 1980, 100 pp; D. Castillejo, Ediciones de Arte y Bibliofilia, Madrid, 1981, 125 pp     

Neglecting neglect: some thoughts about children who have lacked good input,and are ‘undrawn’ and ‘unenjoyed’

This paper looks at emotional neglect in the early years of life, and postulates some probable long-term sequelae of such neglect. It argues that there is a continuum of neglect; ranging from the severest form, as seen in institutional orphanages, to milder variations. A range of theoretical and research traditions, including developmental psychology, attachment theory and neuroscience are used, alongside psychoanalytic ideas, to attempt to delineate some of the key features and patterns that arise. A question is raised as to whether we have sufficient diagnostic categories or theoretical ideas to make sense of neglected children. Thought is given to the very specific clinical challenges of working with children who are neglected, and how the clinical task might differ from working with children who have suffered other forms of early damage, such as physical abuse. It is argued that these children suffer a multiple, overdetermined form of neglect; their initial neglect because of the form of caretaking they did (or did not) receive being compounded by their inability to use help and then also the tendency of professionals to similarly neglect these children, who can be difficult to relate to and hard to ‘warm’ to.     

Trait anxiety and trait anger measured by ecological momentary assessment and their correspondence with traditional trait questionnaires

Ecological momentary assessments (EMA) of anxiety and anger/hostility were obtained every 25–30 min over two 24-h periods, separated by a median of 6 months, from 165 employees at a university in the Northeast. We used a multilevel trait-state-error structural equation model to estimate: (1) the proportion of variance in EMA anxiety and anger/hostility attributable to stable trait-like individual differences; (2) the correspondence between these trait-like components of EMA anxiety and anger/hostility and traditional questionnaire measures of each construct; and (3) the test–retest correlation between two 24-h averages obtained several months apart. After adjustment for measurement error, more than half the total variance in EMA reports of anxiety and anger/hostility is attributable to stable trait-like individual differences; however, the trait-like component of each construct is only modestly correlated with questionnaire measures of that construct. The 6-month “test–retest” correlations of latent variables representing the true 24-h EMA average anxiety and average anger are quite high (r ? 0.83). This study represents the longest follow-up period over which EMA-based estimates of traits have been examined. The results suggest that although the trait component (individual differences) of EMA momentary ratings of anxiety and anger is larger than the state component, traditional self-report questionnaires of trait anxiety and anger correspond only weakly with EMA-defined traits.     

Psychobiography in psychology: Past,present, and future

The present article reviews the history and emerging trends in the field of psychobiography. Five historical periods are highlighted: hagiography and pre-19th century study of lives; Freud and applied psychoanalysis; psychodynamic extensions and personology; modern multi-theoretical models; and psychobiography as interdisciplinary science. The author advocates for a science of psychobiography manifested in expanded and empirically validated theoretical models anchoring research. Further, attention is drawn to the need for more rigorous historiographic research methods weighting first-person sources and incorporating mixed methods designs. Increased attention to ethical and legal issues in the conduct and reporting of psychobiographical studies is also highlighted. Finally, emerging trends in psychobiography related to research production, academic training, and organisational initiatives are presented.     

Multicriteria Classification with Unknown Categories: A Clustering–Sorting Approach and an Application to Conflict Management

This work proposes an approach to cluster and sort a set of alternatives considering multi‐criteria categories with a partial order structure. It can be considered a heuristic approach because it does not attempt to derive an optimal partial order among all conceivable clusters of alternatives. Rather than this, it intends to be a simple approach that is transparent to the Decision Maker (DM) whose assistance is sought to help shaping the results. The approach proposed arises from the conjugation of traditional Clustering analysis and Multi‐criteria sorting tools. At the outset, the number of categories and their characteristics is unknown. First, we need to detect only the clusters themselves on the basis of a similarity measure independent of the preferences of the DM. Next, we detect potential partial order relations that might exist between them, according to the subjective preferences of the DM. Such preferences are elicited only after the DM has examined the clusters detected and deemed that these categories made sense. The new approach performs very well in a real‐world problem of management of intragroup conflicts and conflict handling strategies. Copyright © 2012 John Wiley & Sons, Ltd.     

The Inner Game of Sport: is Everything in the Brain?

The article deals with the following: (1) Three brain imaging studies on athletes are evaluated. What do these neuroscientific studies tell us about the brain and mind of the athlete? (2) Empirical investigations will need a neuro-theory of mind if they are to make the leap from neural activity to the mental. The article looks at such a theory, Gerald Edelman's ‘Neural Darwinism’. What are the implications of such a theory for sport science and philosophy of sport? (3) The article appreciates some of the neurosciences applications, but questions the hope of giving a complete theory of mind.     

Heterogeneous factor analysis models: A bayesian approach

Multilevel factor analysis models are widely used in the social sciences to account for heterogeneity in mean structures. In this paper we extend previous work on multilevel models to account for general forms of heterogeneity in confirmatory factor analysis models. We specify various models of mean and covariance heterogeneity in confirmatory factor analysis and develop Markov Chain Monte Carlo (MCMC) procedures to perform Bayesian inference, model checking, and model comparison.We test our methodology using synthetic data and data from a consumption emotion study. The results from synthetic data show that our Bayesian model perform well in recovering the true parameters and selecting the appropriate model. More importantly, the results clearly illustrate the consequences of ignoring heterogeneity. Specifically, we find that ignoring heterogeneity can lead to sign reversals of the factor covariances, inflation of factor variances and underappreciation of uncertainty in parameter estimates. The results from the emotion study show that subjects vary both in means and covariances. Thus traditional psychometric methods cannot fully capture the heterogeneity in our data.     

Is Political Cognition Like Riding a Bicycle? How Cognitive Neuroscience Can Inform Research on Political Thinking

Our understanding of political phenomena, including political attitudes and sophistication, can be enriched by incorporating the theories and tools of cognitive neuroscience—in particular, the cognitive neuroscience of nonconscious habitual cognition (akin to bicycle riding). From this perspective, different types of informational "building blocks" can be construed from which different types of political attitudes may arise. A reflection-reflexion model is presented that describes how these blocks combine to produce a given political attitude as a function of goals, primes, expertise, and inherent conflict in considerations relevant to the attitude. The ways in which neuroimaging methods can be used to test hypotheses of political cognition are reviewed.