Individual differences on speeded cognitive tasks: Comment on Chen,Hale, and Myerson (2007)

Chen, Hale, and Myerson (2007) recently reported a test of the difference engine model (Myerson, Hale, Zheng, Jenkins, & Widaman, 2003). This test evaluated whether the standard deviation (SD) is proportional to the amount of processing—that is, mean reaction time (RT)—in a speeded cognitive task. We show that this evaluation is not a test of the model because its finding is a consequence of relationships in the data. We argue any model structure that produces increasing values of RT as a function of difficulty, with different slopes for different individuals, necessarily produces a correlation between SD and mean RT. We illustrate this with a different model structure—that is, the diffusion model proposed by Ratcliff (1978)—showing that it produces a fan out between fast- and slow-group means and produces the correlation between SD and mean RT that matches the empirical result.     

Cognitive modeling with spreadsheets

Spreadsheet implementations of two different types of cognitive models—a neural network model and a statistical model—are presented. The two examples illustrate how to employ the facilities of spreadsheets, the spreadsheet data structure, array functions, the built-in function library, and the integrated optimizer, for building cognitive models. The two presented models are new extensions of existing models. They are used for simulating data from experiments illustrating that the extended versions are able to explain experimental results that could not be simulated by the original models. The whole simulation study demonstrates that spreadsheets are a handy tool, especially for researchers without programming knowledge who want to build cognitive models and for instructors teaching cognitive modeling.     

A sufficient condition for pooling data

We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an “outcome”. In particular, we present various approaches to resolve conflicts in the experimental results arising from sampling variability in the experiments. We provide a sufficient condition that allows for pooling of data from experiments with different joint distributions over the variables. Satisfaction of the condition allows for an independence test with greater sample size that may resolve some of the conflicts in the experimental results. The pooling condition has its own problems, but should—due to its generality—be informative to techniques for meta-analysis.     

Implicit sequence learning is represented by stimulus—response rules

For nearly two decades, researchers have investigated spatial sequence learning in an attempt to identify what specifically is learned during sequential tasks (e.g., stimulus order, response order, etc.). Despite extensive research, controversy remains concerning the information-processing locus of this learning effect. There are three main theories concerning the nature of spatial sequence learning, corresponding to the perceptual, motor, or response selection (i.e., central mechanisms underlying the association between stimulus and response pairs) processes required for successful task performance. The present data investigate this controversy and support the theory that stimulus—response (S—R) rules are critical for sequence learning. The results from two experiments demonstrate that sequence learning is disrupted only when the S—R rules for the task are altered. When the S—R rules remain constant or involve only a minor transformation, significant sequence learning occurs. These data implicate spatial response selection as a likely mechanism mediating spatial sequential learning.     

Mining twitter: A source for psychological wisdom of the crowds

Over the last few years, microblogging has gained prominence as a form of personal broadcasting media where information and opinion are mixed together without an established order, usually tightly linked with current reality. Location awareness and promptness provide researchers using the Internet with the opportunity to create “psychological landscapes”—that is, to detect differences and changes in voiced (twittered) emotions, cognitions, and behaviors. In our article, we present iScience Maps, a free Web service for researchers, available from and . Technologically, the service is based on Twitter’s streaming and search application programming interfaces (APIs), accessed through several PHP libraries, and a JavaScript frontend. This service allows researchers to assess via Twitter the effect of specific events in different places as they are happening and to make comparisons between cities, regions, or countries regarding psychological states and their evolution in the course of an event. In a step-by-step example, it is shown how to replicate a study on affective and personality characteristics inferred from first names (Mehrabian & Piercy, Personality and Social Psychology Bulletin, 19, 755–758 1993) by mining Twitter data with iScience Maps.Results from the original study are replicated in both world regions we tested (the western U.S. and the U.K./Ireland); we also discover base rate of names to be a confound that needs to be controlled for in future research.     

Decision noise: An explanation for observed violations of signal detection theory

In signal detection theory (SDT), responses are governed by perceptual noise and a flexible decision criterion. Recent criticisms of SDT (see, e.g., Balakrishnan, 1999) have identified violations of its assumptions, and researchers have suggested that SDT fundamentally misrepresents perceptual and decision processes. We hypothesize that, instead, these violations of SDT stem from decision noise: the inability to use deterministic response criteria. In order to investigate this hypothesis, we present a simple extension of SDT—the decision noise model—with which we demonstrate that shifts in a decision criterion can be masked by decision noise. In addition, we propose a new statistic that can help identify whether the violations of SDT stem from perceptual or from decision processes. The results of a stimulus classification experiment—together with model fits to past experiments—show that decision noise substantially affects performance. These findings suggest that decision noise is important across a wide range of tasks and needs to be better understood in order to accurately measure perceptual processes.     

Potential performance theory (PPT): Describing a methodology for analyzing task performance

Based on potential performance theory (PPT), a methodological paradigm is developed that allows for individual-level analyses. The proposed methodology distinguishes among observed performance, strategy, and consistency, with the idea that changes in observed performance can be caused by changes in strategy or consistency. Equations are presented that allow the computation of strategy and consistency scores for groups and individuals, with the goal of enabling researchers to find the reasons why performance improves or does not improve. More specifically, people may (1) develop better strategies, (2) use them more consistently, (3) both, or (4) neither. It is even possible to have strategy—consistency trade-offs, as individuals focus on one at the expense of the other. Data obtained from an experiment illustrate these possibilities.     

Social Aspects of Women’s Experiences of Sexual Harassment in Public Places in Iran

Sexual harassment in public places is a forbidden form of sex discrimination that includes both verbal and nonverbal behaviors—such as wolf whistles, leers, winks, grabs, pinches, catcalls, and street remarks—and is often overlooked by social science researchers. The present study, using mixed methods and “exploratory design-instrument development method” was conducted to investigate the aspects of Iranian women’s experiences of sexual harassment in public places using a student sample. Using the grounded theory method, the qualitative part of this study was conducted by face-to-face, in-depth interviews with 16 female students of Shiraz University, Shiraz, Iran, which resulted in seven axial categories and one core category. The results of the qualitative part of the study were used to develop the instrument of the quantitative part, the questionnaire. Using the survey technique, the quantitative phase of this study employed a sample of 369 female students of Shiraz University, selected by stratified sampling. Data analysis procedures included a theme analysis of the interviews, a statistical analysis of the survey, and an integrated consideration of the qualitative and quantitative results. We found that experiencing sexual harassment is significantly correlated with presence in public places, acceptance of gender rules, mother’s education and the kind of women’s dressing and make up.     

The Nature and Disvalue of Injury

This paper explicates a conception of injury as right-violation, which allows us to distinguish between setbacks to interests that should, and should not, be the concern of theories of justice. It begins by introducing a hybrid theory of rights, grounded in (a) the mobilisation of our moral equality to (b) protect our most important interests, and shows how violations of rights are the concern of justice, while setbacks where one of the twin grounds of rights is defeated are not. It then looks more closely at the substantive moral components of injury, namely harm—damage to one’s interests—and wrong—disrespect for one’s moral equality. It argues that, on the hybrid conception of rights, harm and wrong are individually necessary and jointly sufficient components of injury, and the disvalue of neither is reducible to the other—in particular, it is a mistake to construe the disrespect identified by wrong as another damaged interest. Finally, it distinguishes between the public and private dimensions of harm and wrong, and makes some preliminary suggestions as to whether the remedy for these different dimensions should lie in criminal, distributive, or corrective justice.     

Where creeds meet incredulity: educational research in a post-utopian age

In contrast to Jean-Francois Lyotard’s classic warning, postmodern society in the United States seems increasingly influenced by metanarratives—religious metanarratives. This article examines the implications of this religious resurgence for educational researchers. It offers a competing analysis of the postmodern that draws on Harold Bloom, Slavoj ŽiŽek and others to identify the gnostic elements in contemporary religiosity, both in Europe and the United States. This competing reading of postmodern religiosity suggests a reframing of Lyotard’s paralogy—research that searches for instabilities in the framework of knowledge. Drawing examples from recent educational research, I will argue for ways in which researchers can better engage religion in their work.The author would like to thank the anonymous reviewer who brought to his attention additional texts and debates about this highly interdisciplinary topic.     

Normative multitrial recall performance,metacognitive judgments,and retrieval latencies for Lithuanian—English paired associates

Memory researchers using paired associates have benefited greatly from the Swahili—English norms reported by Nelson and Dunlosky (1994). Given recent increases in the amount and kinds of research using paired associates, however, researchers would now benefit from an expanded set of normative measures for foreign language vocabulary words. We report data for 120 Lithuanian—English word pairs collected from 236 undergraduates. Participants completed three study-test trials and were asked to make metacognitive judgments for each item. We report normative recall performance, recall latencies, and error types for each item across trials, as well as the perceived difficulty of each item on the basis of metacognitive judgments.     

结构方程模型统计检验力分析：原理与方法

结构方程模型是心理学、管理学、社会学等学科中重要的统计工具之一。然而, 大量使用结构方程模型的研究忽视了对该方法的统计检验力进行必要的分析和报告, 在一定程度上降低了这些研究的结果的证明效力。结构方程模型的统计检验力分析方法主要有Satorra-Saris法、MacCallum法与Monte Carlo法三类。其中Satorra-Saris法适用于备择模型清晰、检验对象相对简单、检验方法基于χ²分布的情形; MacCallum法适用于基于χ²分布的模型拟合检验且备择模型不明的情形; Monte Carlo法适用于检验对象相对复杂、采用模拟或重抽样方法进行检验的情形。在实际应用中, 研究者应当首先判断检验的目的、方法以及是否有明确的备择模型, 并根据这些信息选择具体的分析方法。     

Analysis of systems influencing renal hemodynamics and sodium excretion. I. Biochemical systems theory

In this article we present a new methodology—Biochemical Systems Theory and Analysis—as an alternative to traditional parametric statistical procedures for investigating differences between risk groups in a population. We review the systems theory and how it can be used to represent a model of processes influencing renal hemodynamics and sodium (Na⁺) excretion. We also discuss the potential for new measures of the biology of common diseases that can emerge from a synergism between systems theory and population-based statistical approaches. This work was supported in part by grants from the Public Health Service, RO1-HL30428, R01-HL39107 and General Clinical Research Center Grant RR0585.     

Visual search: efficiency continuum or distinct processes?

Whether visual search involves two distinct processes—traditionally referred to as serial and parallel— or a single process operating on a continuum of efficiency or speed, is an issue with a long history in the study of attention. On the basis of the unimodality of search slope distributions in a very large data set, Wolfe (1998) argued for a continuum model. Reanalysis of this data set using statistical procedures more appropriate for adjudicating between continuous and discontinuous models supports the existence of two distinct processes.     

Phenomenal consciousness with infallible self-representation

In this paper, I argue against the claim recently defended by Josh Weisberg that a certain version of the self-representational approach to phenomenal consciousness cannot avoid a set of problems that have plagued higher-order approaches. These problems arise specifically for theories that allow for higher-order misrepresentation or—in the domain of self-representational theories—self-misrepresentation. In response to Weisberg, I articulate a self-representational theory of phenomenal consciousness according to which it is contingently impossible for self-representations tokened in the context of a conscious mental state to misrepresent their objects. This contingent infallibility allows the theory to both acknowledge the (logical) possibility of self-misrepresentation and avoid the problems of self-misrepresentation. Expanding further on Weisberg’s work, I consider and reveal the shortcomings of three other self-representational models—put forward by Kreigel, Van Gulick, and Gennaro—in order to show that each indicates the need for this sort of infallibility. I then argue that contingent infallibility is in principle acceptable on naturalistic grounds only if we attribute (1) a neo-Fregean kind of directly referring, indexical content to self-representational mental states and (2) a certain ontological structure to the complex conscious mental states of which these indexical self-representations are a part. In these sections I draw on ideas from the work of Perry and Kaplan to articulate the context-dependent semantic structure of inner-representational states.     

The Logic of ADHD: A Brief Review of Fallacious Reasoning

This paper has two central purposes: the first is to survey some of the more important examples of fallacious argument, and the second is to examine the frequent use of these fallacies in support of the psychological construct: Attention Deficit Hyperactivity Disorder (ADHD). The paper divides 12 familiar fallacies into three different categories—material, psychological and logical—and contends that advocates of ADHD often seem to employ these fallacies to support their position. It is suggested that all researchers, whether into ADHD or otherwise, need to pay much closer attention to the construction of their arguments if they are not to make truth claims unsupported by satisfactory evidence, form or logic.     

Rhesus monkeys (Macaca mulatta) adaptively monitor uncertainty while multi-tasking

As researchers explore animals’ capacity for metacognition and uncertainty monitoring, some paradigms allow the criticism that animal participants—who are always extensively trained in one stimulus domain within which they learn to avoid difficult trials—use task-specific strategies to avoid aversive stimuli instead of responding to a generalized state of uncertainty like that humans might use. We addressed this criticism with an uncertainty-monitoring task environment in which four different task domains were interleaved randomly trial by trial. Four of five macaques (Macaca mulatta) were able to make adaptive uncertainty responses while multi-tasking, suggesting the generality of the psychological signal that occasions these responses. The findings suggest that monkeys may have an uncertainty-monitoring capacity that is like that of humans in transcending task-specific cues and extending simultaneously to multiple domains.     

Modeling consensus emergence in groups using longitudinal multilevel methods

Organizational researchers have long been interested in studying bottom‐up multilevel processes where lower level units (e.g., employees) in organizations interact to jointly create characteristics of higher level units (e.g., work groups). This article contributes to the literature on bottom‐up processes by detailing a statistical approach—the consensus emergence model (CEM)—that allows researchers to study emergence of shared perceptions and feelings or climates in groups over time. The described methodological approach extends standard multilevel methodology by examining residual variances within a growth model to account for dynamic change in group consensus. The CEM provides a formal test for consensus emergence. The approach also allows researchers to test explanatory models of consensus emergence by including person‐level, group‐level, and observation‐level predictors. We illustrate the CEM by applying the method to data from two longitudinal studies of work units. The first study investigated job satisfaction in military companies. Our second study examined professional archeologists working in groups on a field excavation mission and focused on fatigue at the end of the work day. Our analyses demonstrate the CEM's ability to detect and study emergence, and suggest that the CEM may be a valuable tool to help extend the study of emergence in organizational research.     

Saving Strawson: Evil and Strawsonian Accounts of Moral Responsibility

Almost everyone allows that conditions can obtain that exempt agents from moral responsibility—that someone is not a morally responsible agent if certain conditions obtain. In his seminal “Freedom and Resentment,” Peter Strawson denies that the truth of determinism globally exempts agents from moral responsibility. As has been noted elsewhere, Strawson appears committed to the surprising thesis that being an evil person is an exempting condition. Less often noted is the fact that various Strawsonians—philosophers sympathetic with Strawson’s account of moral responsibility—at least appear to have difficulty incorporating evil persons into their accounts of moral responsibility. In what follows, I argue that Strawson is not committed to supposing that being evil is an exempting condition—at least, that he can allow that evil persons are morally responsible agents.