Distinguishing among models and goals in personality science: comment on Ashton and Lee (2005)

This comment notes a misrepresentation of work by Caprara and Cervone (2000) contained in a recent contribution to this journal (Ashton & Lee, 2005 ). This occurrence is taken as an opportunity to highlight a positive development in personality science: investigators' increasing awareness of distinctions among alternative conceptual models that address qualitatively distinct scientific goals that each fall within the confines of the professional field. Copyright © 2005 John Wiley & Sons, Ltd.     

Single-system models and interference in category learning: Commentary on Waldron and Ashby (2001)

In a recent article, Waldron and Ashby (2001) observed that performing a concurrent task caused greater interference in learning a simple one-dimensional categorization rule than in learning a complex three-dimensional one. They argued that this result was incompatible with all existing single-system models of category learning but was as predicted by the multiple-system COVIS model (Ashby, Alfonso-Reese, Turken, & Waldron, 1998). In contrast to Waldron and Ashby’s argument, we demonstrate that the single-system ALCOVE model (Kruschke, 1992) naturally predicts the result by assuming that its selectiveattention learning process is disrupted by the concurrent task.     

Using generalized additive (mixed) models to analyze single case designs

This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data. These models excel at detecting the functional form between two variables (often called trend), that is, whether trend exists, and if it does, what its shape is (e.g., linear and nonlinear). In many respects, however, these models are also an ideal vehicle for analyzing single-case designs because they can consider level, trend, variability, overlap, immediacy of effect, and phase consistency that single-case design researchers examine when interpreting a functional relation. We show how these models can be implemented in a wide variety of ways to test whether treatment is effective, whether cases differ from each other, whether treatment effects vary over cases, and whether trend varies over cases. We illustrate diagnostic statistics and graphs, and we discuss overdispersion of data in detail, with examples of quasibinomial models for overdispersed data, including how to compute dispersion and quasi-AIC fit indices in generalized additive models. We show how generalized additive mixed models can be used to estimate autoregressive models and random effects and discuss the limitations of the mixed models compared to generalized additive models. We provide extensive annotated syntax for doing all these analyses in the free computer program R.     

ADPROCLUS: a graphical user interface for fitting additive profile clustering models to object by variable data matrices

In many areas of psychology, one is interested in disclosing the underlying structural mechanisms that generated an object by variable data set. Often, based on theoretical or empirical arguments, it may be expected that these underlying mechanisms imply that the objects are grouped into clusters that are allowed to overlap (i.e., an object may belong to more than one cluster). In such cases, analyzing the data with Mirkin’s additive profile clustering model may be appropriate. In this model: (1) each object may belong to no, one or several clusters, (2) there is a specific variable profile associated with each cluster, and (3) the scores of the objects on the variables can be reconstructed by adding the cluster-specific variable profiles of the clusters the object in question belongs to. Until now, however, no software program has been publicly available to perform an additive profile clustering analysis. For this purpose, in this article, the ADPROCLUS program, steered by a graphical user interface, is presented. We further illustrate its use by means of the analysis of a patient by symptom data matrix.     

Further clarifying proximal withdrawal states and the turnover criterion space: Comment on Hom, Mitchell, Lee, and Griffeth (2012)

In "Reviewing Employee Turnover: Focusing on Proximal Withdrawal States and an Expanded Criterion," Hom, Mitchell, Lee, and Griffeth (2012) brought together many of the most important content and process factors in the employee turnover literature. In this paper, I attempt to clarify the true contributions of this framework for the turnover area and at the same time explain why improved prediction is not among these contributions. I then enumerate 3 theoretically problematic aspects of the proposed framework, which limit its contribution. Finally, I suggest 3 directions that researchers should pursue in order to test and extend the framework. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

The applicability of deadline models: Comment on Glickman,Gray, and Morales (2005)

Glickman, Gray, and Morales (this issue) propose a statistical model for measuring the unobserved latency of stimulus-controlled processes. The model accounts for both speed and accuracy and does so by assuming participants set an internal deadline. If a stimulus-controlled response is not produced by the deadline, the participant then guesses. The applicability the model is discussed in this comment. The deadline model yields specific predictions for the case in which stimulus difficulty is manipulated in a within-block manner. In this case, it is reasonable to assume that stimulus difficulty does not affect the deadline. It is shown that in common perceptual and cognitive domains, extant data do not fully meet these predictions. Hence, practitioners need be aware of the possibility and consequences of model misspecification. This research is supported by NSF grant SES - 0095919 to J. Rouder, D. Sun, and P. Speckman.     

Learning from implicit learning literature: Comment on Shea, Wulf, Whitacre, and Park (2001)

In their analysis of complex motor skill learning, Shea, Wulf, Whitacre, and Park (2001) have overlooked one of the most robust conclusions of the experimental studies on implicit learning conducted during the last decade--namely that participants usually learn things that are different from those that the experimenter expected them to learn. Weshow that the available literature on implicit learning strongly suggests that the improved performance in Shea et al.'s Experiments 1 and 2 (and similar earlier experiments, e.g., Wulf & Schmidt, 1997) was due to the exploitation of regularities in the target pattern different from those on which the postexperimental interview focused. This rules out the conclusions drawn from the failure of this interview to reveal any explicit knowledge about the task structure on the part of the participants. Similarly, because the information about the task structure provided to an instructed group of participants in Shea et al.'s Experiment 2 did not concern the regularities presumably exploited by the standard, so-called implicit, group, Shea et al.'s claim that explicit knowledge may be less effective than implicit knowledge is misleading.     

Sometimes pursuits don't pan out: Anticipated destinations and other caveats: Comment on Hom, Mitchell, Lee, and Griffeth (2012)

Hom, Mitchell, Lee, and Griffeth (2012) presented an extensive review of employee turnover research, reconceptualized the turnover criterion to include multiple destinations, and proposed to expand the predictor domain. They illuminated the multiple destinations employees pursue following turnover. By crossing desire to remain and volitional control dimensions, Hom et al. defined and described 4 withdrawal states (or predeparture mind-sets). This commentary begins by introducing the issue that people do not know precisely where they will turn over to until they have actually gone. This suggests that researchers should consider anticipated destinations when conducting research on withdrawal states. We note the limitations of measuring withdrawal states as taxonomic categories; instead, we advocate for measuring the underlying continuous dimensions of desire and control or the weight associated with the pressures to leave or stay. Finally, we highlight some temporal considerations, as withdrawal states are temporary and there is much to be learned from studying changes in such states. We conclude with some directions for future turnover research based on Hom et al.'s contribution. (PsycINFO Database Record (c) 2012 APA, all rights reserved).     

The intelligence of the moral intuitions: comment on Haidt (2001)

The social intuitionist model (J. Haidt, 2001) posits that fast and automatic intuitions are the primary source of moral judgments. Conscious deliberations play little causal role; they are used mostly to construct post hoc justifications for judgments that have already occurred. In this article, the authors present evidence that fast and automatic moral intuitions are actually shaped and informed by prior reasoning. More generally, there is considerable evidence from outside the laboratory that people actively engage in reasoning when faced with real-world moral dilemmas. Together, these facts limit the strong claims of the social intuitionist model concerning the irrelevance of conscious deliberation.     

Measuring Feeling of Knowing: Comment on Schraw (1995)

Schraw compares two coefficients for the 2×2 contingency tables resulting from many feeling of knowing (FOK) studies: Hamann's coefficient and Goodman and Kruskal's γ. He favours Hamann's coefficient and gives examples where Hamann's coefficient produces what might be considered the more intuitive result. Further scrutiny reveals that these examples are not as convincing as Schraw makes them out to be. Because Hamann's coefficient depends on the row and column marginals, it does not map onto FOK ability as well as Goodman and Kruskal's γ, which is a direct measure of the diagnostic worth of FOK ratings.     

Theoretical and methodological issues with testing the SCCT and RIASEC models: Comment on Lent, Sheu, and Brown (2010) and Lubinski (2010)

The current article replies to comments made by Lent, Sheu, and Brown (2010) and Lubinski (2010) regarding the study "Interpreting the Interest-Efficacy Association From a RIASEC Perspective" (Armstrong & Vogel, 2009). The comments made by Lent et al. and Lubinski highlight a number of important theoretical and methodological issues, including the process of defining and differentiating between constructs, the assumptions underlying Holland's (1959, 1997) RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional types) model and interrelations among constructs specified in social cognitive career theory (SCCT), the importance of incremental validity for evaluating constructs, and methodological considerations when quantifying interest-efficacy correlations and for comparing models using multivariate statistical methods. On the basis of these comments and previous research on the SCCT and Holland models, we highlight the importance of considering multiple theoretical perspectives in vocational research and practice. Alternative structural models are outlined for examining the role of interests, self-efficacy, learning experiences, outcome expectations, personality, and cognitive abilities in the career choice and development process.     

Selective migration among southern blacks: A reinterpretation of Lee (1951)

Comparisons of the mean IQs of Northern and Southern blacks have consistently shown a 7–12 point difference favoring the former group. Explanations of this difference have been highly polarized. Hereditarians have generally favored an hypothesis of selective migration; environmentalists have tended to ascribe the difference to such environmental causes as education, discrimination and cultural deprivation. Two studies (Klineberg, 1935; Lee, 1951) have been interpreted by many commentators as decisively vindicating the environmentalist position. In this paper this interpretation is questioned and certain neglected features of Lee's (1951) data are construed as providing strong evidence for selective migration.     

Non-monotonicity and Informal Reasoning: Comment on Ferguson (2003)

In this paper, it is argued that Ferguson’s (2003, Argumentation 17, 335–346) recent proposal to reconcile monotonic logic with defeasibility has three counterintuitive consequences. First, the conclusions that can be derived from his new rule of inference are vacuous, a point that as already made against default logics when there are conflicting defaults. Second, his proposal requires a procedural “hack” to the break the symmetry between the disjuncts of the tautological conclusions to which his proposal leads. Third, Ferguson’s proposal amounts to arguing that all everyday inferences are sound by definition. It is concluded that the informal logic response to defeasibility, that an account of the context in which inferences are sound or unsound is required, still stands. It is also observed that another possible response is given by Bayesian probability theory (Oaksford and Chater, in press, Bayesian Rationality: The Probabilistic Approach to Human Reasoning, Oxford University Press, Oxford, UK; Hahn and Oaksford, in press, Synthese).     

Structuring temporal sequences: Comparison of models and factors of complexity

Two stages for structuring tone sequences have been distinguished by Povel and Essens (1985). In the first, a mental clock segments a sequence into equal time units (clock model); in the second, intervals are specified in terms of subdivisions of these units. The present findings support the clock model in that it predicts human performance better than three other algorithmic models. Two further experiments in which clock and subdivision characteristics were varied did not support the hypothesized effect of the nature of the subdivisions on complexity. A model focusing on the variations in the beat-anchored envelopes of the tone clusters was proposed. Errors in reproduction suggest a dual-code representation comprising temporaland figural characteristics. The temporal part of the representation is based on the clock model but specifies, in addition, the metric of the level below the clock. The beat-tone-cluster envelope concept was proposed to specify the figural part.     

Comment on Anderson and Ones (2008)

The ‘erratum and addendum’ by Anderson and Ones ( 2008 ) does not state unambiguously that participants' Hogan Personality Inventory (HPI) scale scores were incorrectly matched with their scores on the other inventories' scales, nor does it mention the existence of other errors in the scoring of the Occupational Personality Questionnaire (OPQ) and Business Personality Indicator (BPI) scales. We demonstrate these errors and we recommend the retraction of the articles by Anderson and Ones ( 2003 ) and Ones and Anderson ( 2002 ). Copyright © 2007 John Wiley & Sons, Ltd.