Rethinking deprivations of liberty: possible contributions from therapeutic and ecological jurisprudence

In place of the police and parens patriae powers, this article proposes three distinct justifactory models for government-sponsored deprivations of liberty. The punishment model authorizes deprivation of liberty as a sanction for blameworthy behavior. The prevention model authorizes deprivation of liberty to prevent harm, either through deterrence or restraint. The protection model authorizes liberty deprivation to ensure autonomous decisionmaking. The article compares these models to the purposes traditionally advanced as justification for punishment, and explores their strengths and weaknesses. Using therapeutic jurisprudence and ecological jurisprudence as organizing frameworks, it then describes a range of empirical issues raised by each of the models.     

Evaluating models of remember-know judgments: Complexity, mimicry, and discriminability

Remember-know judgments provide additional information in recognition memory tests, but the nature of this information and the attendant decision process are in dispute. Competing models have proposed that remember judgments reflect a sum of familiarity and recollective information (the one-dimensional model), are based on a difference between these strengths (STREAK), or are purely recollective (the dual-process model). A choice among these accounts is sometimes made by comparing the precision of their fits to data, but this strategy may be muddied by differences in model complexity: Some models that appear to provide good fits may simply be better able to mimic the data produced by other models. To evaluate this possibility, we simulated data with each of the models in each of three popular remember-know paradigms, then fit those data to each of the models. We found that the one-dimensional model is generally less complex than the others, but despite this handicap, it dominates the others as the best-fitting model. For both reasons, the one-dimensional model should be preferred. In addition, we found that some empirical paradigms are ill-suited for distinguishing among models. For example, data collected by soliciting remember/know/new judgments--that is, the trinary task--provide a particularly weak ground for distinguishing models. Additional tables and figures may be downloaded from the Psychonomic Society's Archive of Norms, Stimuli, and Data, at www.psychonomic.org/archive.     

Modeling individual differences in cognition

Many evaluations of cognitive models rely on data that have been averaged or aggregated across all experimental subjects, and so fail to consider the possibility of important individual differences between subjects. Other evaluations are done at the single-subject level, and so fail to benefit from the reduction of noise that data averaging or aggregation potentially provides. To overcome these weaknesses, we have developed a general approach to modeling individual differences using families of cognitive models in which different groups of subjects are identified as having different psychological behavior. Separate models with separate parameterizations are applied to each group of subjects, and Bayesian model selection is used to determine the appropriate number of groups. We evaluate this individual differences approach in a simulation study and show that it is superior in terms of the key modeling goals of prediction and understanding. We also provide two practical demonstrations of the approach, one using the ALCOVE model of category learning with data from four previously analyzed category learning experiments, the other using multidimensional scaling representational models with previously analyzed similarity data for colors. In both demonstrations, meaningful individual differences are found and the psychological models are able to account for this variation through interpretable differences in parameterization. The results highlight the potential of extending cognitive models to consider individual differences.     

Toward a comprehensive model of physical activity

Background and purpose. Despite the widely acknowledged public health burden and years of individually based intervention approaches, physical inactivity remains a growing concern among industrialized nations. Interventions aimed at changing individual dispositions that increase physical activity generally result in small changes in behavior that dissipate within weeks. Correlational research testing theories and models focusing on these same individual dispositions explain, at best, 20–40% of the variance in physical activity. As a result, recent calls have been made for consideration of broader, multilevel, ecological approaches to physical activity promotion. The purpose of this article is to define a comprehensive model for understanding physical activity and consider future directions for research.Methods. Relevant literature is reviewed within each of the areas being discussed.Results and conclusions. Ecological models incorporate both intra- and extra-individual influences that may impact on individual physical activity. However, the role of extra-individual factors has not been clearly defined in current ecological models of physical activity. We present the theoretical background of ecological models of health behavior, and define an ecological model for physical activity promotion. This model portrays physical activity behavior as being influenced by interplay between environmental settings and biological and psychological factors. Further testing of this and existing ecological models of physical activity is recommended.     

Curriculum-based measurement: Conceptual underpinnings and integration into problem-solving assessment

This article presents a case study exemplifying the use of curriculum-based measurement (CBM) in educational decision making. CBM is portrayed as more than just a set of brief fluency tests with strong conceptual ties to three related assessment models, viz., behavioral, ecological, and problem-solving assessment. The key elements of each of these models are delineated. A case study is presented to show how CBM is integrated into problem-solving educational assessment and decision-making practices.     

A Comparison of Inverse-Wishart Prior Specifications for Covariance Matrices in Multilevel Autoregressive Models

Multilevel autoregressive models are especially suited for modeling between-person differences in within-person processes. Fitting these models with Bayesian techniques requires the specification of prior distributions for all parameters. Often it is desirable to specify prior distributions that have negligible effects on the resulting parameter estimates. However, the conjugate prior distribution for covariance matrices—the Inverse-Wishart distribution—tends to be informative when variances are close to zero. This is problematic for multilevel autoregressive models, because autoregressive parameters are usually small for each individual, so that the variance of these parameters will be small. We performed a simulation study to compare the performance of three Inverse-Wishart prior specifications suggested in the literature, when one or more variances for the random effects in the multilevel autoregressive model are small. Our results show that the prior specification that uses plug-in ML estimates of the variances performs best. We advise to always include a sensitivity analysis for the prior specification for covariance matrices of random parameters, especially in autoregressive models, and to include a data-based prior specification in this analysis. We illustrate such an analysis by means of an empirical application on repeated measures data on worrying and positive affect.     

Models of consultation: Preferences of educational professionals at five stages of service

Three professional education groups (elementary school principals, special education teachers, and second-grade teachers from two school systems) were asked to rate their preference for four models of consultation as offered by school psychologists at each of five stages of the consultation process. Results indicate that there were no differences among the three professional education groups in their ratings of the models. However, there was a significant difference in the ratings given to each model, with the collaboration model receiving the highest rating. A model by stage interaction also was noted, a finding which suggests that consultation preference should not be considered a unidimensional concept. The implications of these results for the training and practice of school psychologists in the consultation role are discussed.     

Personality and conditioning: a test of four models

Four experiments were conducted to test hypotheses derived from 4 alternative models of individual differences in instrumental conditioning. A standard go--no-go discrimination learning task was used in each of the 4 experiments. The results indicate that individual differences in performance of this discrimination are more consistently and strongly associated with impulsivity and anxiety than with extraversion and neuroticism. In each of the experiments, high anxiety hindered the learning of a go--no-go discrimination more among high impulsive Ss than among low impulsive Ss, and in 2 of the experiments high anxiety actually facilitated learning among low impulsive Ss. These findings are incompatible with Eysenck's and Gray's hypotheses regarding extraversion but are not inconsistent with Newman's. Aspects of these results do support Spence's and Gray's models of anxiety and instrumental conditioning. However, both of these models were contradicted by other trends in the data. A modification of Gray's model of impulsivity and anxiety that emphasizes the role of expectancies was proposed to fit these data.     

Measuring Religious Commitment Among Catholics and Protestants: A New Approach

Researchers using survey data to study religious commitment often create additive indices in which respondents receive a "point" on the scale for each behavior in which they engage, implicitly assuming that each activity is equally normative in each religious tradition. This has led some scholars to suggest that these scales can be "biased" in favor of evangelicals. In this paper, we introduce a unique series of survey questions asking respondents how important various activities are "for people of your religion". We use these new measures to generate tradition-specific weights for each component of a religious commitment scale according to the activity's perceived importance. We then present a method for constructing scales when such "importance" items are not available, using the frequency of behavior within each religious tradition as a surrogate for importance. We find that constructing religious commitment scales that take into account the normative differences across religious traditions produces statistically significant differences in the levels of commitment by religious tradition, especially among Roman Catholics. However, the substantive significance is less evident. When various measures of religious commitment are included as independent variables in multivariate models of political attitudes, their performance is remarkably similar. It appears that the standard additive indices of religious commitment commonly utilized by scholars of religion and politics are adequate for most analyses of social and political attitudes.     

Individual differences in reading aloud: A mega-study,item effects,and some models

Normal individual differences are rarely considered in the modelling of visual word recognition – with item response time effects and neuropsychological disorders being given more emphasis – but such individual differences can inform and test accounts of the processes of reading. We thus had 100 participants read aloud words selected to assess theoretically important item response time effects on an individual basis. Using two major models of reading aloud – DRC and CDP+ – we estimated numerical parameters to best model each individual’s response times to see if this would allow the models to capture the effects, individual differences in them and the correlations among these individual differences. It did not. We therefore created an alternative model, the DRC-FC, which successfully captured more of the correlations among individual differences, by modifying the locus of the frequency effect. Overall, our analyses indicate that (i) even after accounting for individual differences in general speed, several other individual difference in reading remain significant; and (ii) these individual differences provide critical tests of models of reading aloud. The database thus offers a set of important constraints for future modelling of visual word recognition, and is a step towards integrating such models with other knowledge about individual differences in reading.     

Mixture Modeling Methods for the Assessment of Normal and Abnormal Personality,Part II: Longitudinal Models

Studying personality and its pathology as it changes, develops, or remains stable over time offers exciting insight into the nature of individual differences. Researchers interested in examining personal characteristics over time have a number of time-honored analytic approaches at their disposal. In recent years there have also been considerable advances in person-oriented analytic approaches, particularly longitudinal mixture models. In this methodological primer we focus on mixture modeling approaches to the study of normative and individual change in the form of growth mixture models and ipsative change in the form of latent transition analysis. We describe the conceptual underpinnings of each of these models, outline approaches for their implementation, and provide accessible examples for researchers studying personality and its assessment.     

Tracing the Path from Personality — via Cooperativeness — to Conservation

Ecological behaviour is often conceptualized as an instance of cooperating in a social dilemma situation. Thus, it has been argued to relate to dispositional tendencies of moral virtue and pro‐social orientation. To embed such notions in models of basic personality, we herein predicted that the recently proposed sixth basic personality factor, Honesty–Humility — which specifically pertains to individual differences in cooperativeness — is linked to environmental attitudes and ecological behaviour. Results from two studies (N = 137 and N = 531, respectively) supported these hypotheses and showed that Honesty–Humility explains incremental variance beyond the remaining, more classical five factors of personality. In addition, mediation analyses revealed that Honesty–Humility exerts part of its influence via individual differences in pro‐social value orientations. Individual tendencies to cooperate in social dilemma situations could thus be shown to form a bridge between basic personality dimensions and ecological behaviour. Copyright © 2012 John Wiley & Sons, Ltd.     

Latent Growth Curve and Repeated Measures ANOVA Contrasts: What the Models are Telling You

The relationship between the latent growth curve and repeated measures ANOVA models is often misunderstood. Although a number of investigators have looked into the similarities and differences among these models, a cursory reading of the literature can give the impression that they are very different models. Here we show that each model represents a set of contrasts on the occasion means. We demonstrate that the fixed effects parameters of the estimated basis vector latent growth curve model are merely a transformation of the repeated measures ANOVA fixed effects parameters. We further show that differences in fit in models that estimate the same means structure can be due to the different error covariance structures implied by the model. We show these relationships both algebraically and through using data from a simulation.     

Direct Perception Requires an Animal-Dependent Concept of Specificity and of Information

Specificity and information are at center stage in ecological psychology. Nevertheless, the usual theorizing on these concepts may have made the problem of accounting for perception and action more difficult by so far underestimating the role of animals as both meaning-detectors and meaning-determiners. The usual understanding of information and specificity in ecological psychology seems neither necessary nor even compatible with ecological premises and empirical findings. I argue that a reframing of these concepts to fully take animals into account is necessary to explain perception of action-specific meanings. The reframing proposed converges on ideas from developmental systems theory and in no way concedes to inputs-followed-by-processing-followed-by-representation models. Fully acknowledging the animal for properly defining information over the animal-environment system poses no threat lawfulness, realism, or direct perception. It also invites serious consideration of self-organization and interactivism as sources for further development of ecological science.     

Dynamic search and working memory in social recall

What are the mechanisms underlying search in social memory (e.g., remembering the people one knows)? Do the search mechanisms involve dynamic local-to-global transitions similar to semantic search, and are these transitions governed by the general control of attention, associated with working memory span? To find out, we asked participants to recall individuals from their personal social networks and measured each participant's working memory capacity. Additionally, participants provided social-category and contact-frequency information about the recalled individuals as well as information about the social proximity among the recalled individuals. On the basis of these data, we tested various computational models of memory search regarding their ability to account for the patterns in which participants recalled from social memory. Although recall patterns showed clustering based on social categories, models assuming dynamic transitions between representations cued by social proximity and frequency information predicted participants' recall patterns best-no additional explanatory power was gained from social-category information. Moreover, individual differences in the time between transitions were positively correlated with differences in working memory capacity. These results highlight the role of social proximity in structuring social memory and elucidate the role of working memory for maintaining search criteria during search within that structure.     

A Comparison of Work Motivation in Bulgaria, Hungary, and the Netherlands: Test of a Model

This article describes a study into the antecedents and consequences of job involvement and organisational commitment of workers in Bulgaria, Hungary, and the Netherlands. On the basis of the literature a general model of work motivation is developed which depicts job characteristics, opportunities to satisfy needs, and extrinsic work factors as determinants of job involvement and organisational commitment, and considers effort expenditure, performance, job satisfaction, turnover, and work stress as outcomes. Data from worker samples in the three countries obtained with equivalent instruments are used to test the validity of the model. Path analysis shows that the model has a modest fit when applied to the three samples simultaneously. A better fit and more meaningful results are obtained by developing optimal models for each country. The peculiarities of these models can be largely explained from cultural and economic factors. Since the differences between Bulgaria and Hungary are as great as the differences with the Netherlands, there seems to be little evidence for a motivational after-effect of communism.     

Models of Service Delivery for Cancer Genetic Risk Assessment and Counseling

Increasing awareness of and the potentially concomitant increasing demand for cancer genetic services is driving the need to explore more efficient models of service delivery. The aims of this study were to determine which service delivery models are most commonly used by genetic counselors, assess how often they are used, compare the efficiency of each model as well as impact on access to services, and investigate the perceived benefits and barriers of each. Full members of the NSGC Familial Cancer Special Interest Group who subscribe to its listserv were invited to participate in a web-based survey. Eligible respondents were asked which of ten defined service delivery models they use and specific questions related to aspects of model use. One-hundred ninety-two of the approximately 450 members of the listserv responded (42.7 %); 177 (92.2 %) had provided clinical service in the last year and were eligible to complete all sections of the survey. The four direct care models most commonly used were the (traditional) face-to-face pre- and post-test model (92.2 %), the face-to-face pretest without face-to-face post-test model (86.5 %), the post-test counseling only for complex results model (36.2 %), and the post test counseling for all results model (18.3 %). Those using the face-to-face pretest only, post-test all, and post-test complex models reported seeing more new patients than when they used the traditional model and these differences were statistically significantly. There were no significant differences in appointment wait times or distances traveled by patients when comparing use of the traditional model to the other three models. Respondents recognize that a benefit of using alternative service delivery models is increased access to services; however, some are concerned that this may affect quality of care.     

Community Counselling in African Contexts

This article explores community counselling as a form of professional practice for psychologists, with a particular focus on practices that are relevant in African contexts. The discussion identifies and discusses various models of practice identified in community psychology, including an ecological perspective, a public health and community mental health framework, interventions that focus on promoting a sense of community, indigenous approaches to community counselling and a critical or social action framework. Examples relating to each of these models of practice are drawn from various African settings, providing practitioners with some insights into how theory can be operationalised into practices that are relevant to African contexts. The article concludes with a discussion on community research, with a particular focus on ethical considerations relevant to a community approach in African contexts. The latter discussion emphasises the importance of working with the community as partners, and suggests the possibility of developing a Code of Ethics aimed specifically at guiding community counselling practice in African contexts.     

Correspondence analysis used complementary to loglinear analysis

Loglinear analysis and correspondence analysis provide us with two different methods for the decomposition of contingency tables. In this paper we will show that there are cases in which these two techniques can be used complementary to each other. More specifically, we will show that often correspondence analysis can be viewed as providing a decomposition of the difference between two matrices, each following a specific loglinear model. Therefore, in these cases the correspondence analysis solution can be interpreted in terms of the difference between these loglinear models. A generalization of correspondence analysis, recently proposed by Escofier, will also be discussed. With this decomposition, which includes classical correspondence analysis as a special case, it is possible to use correspondence analysis complementary to loglinear analysis in more instances than those described for classical correspondence analysis. In this context correspondence analysis is used for the decomposition of the residuals of specific restricted loglinear models.