How do trainees choose their first psychotherapy training? The case of training in psychotherapy integration

Future trainees go through difficult decision-making processes when starting their first psychotherapy training. The choice of training in psychotherapy integration is a specific type of this process. In this study, qualitative data were obtained from the motivational letters, in-depth semi-structured interviews and e-mail questionnaires of 26 future trainees to answer the research question, ‘How do trainees choose their first psychotherapy training?’ We primarily employed the grounded theory approach as well as consensual qualitative research to shed light on the central category of Gaining Certainty to enter the training. This category was elaborated into a four-phase model, specifically comprised of the: (1) Critical Comparison, (2) Identification, (3) Self-Confirmation and (4) Waiting phases. The model was then discussed in connection with relevant concepts, such as the degree of complexity and flexibility within the epistemological development of trainees [Vasco, A. B., &; Dryden, W. (1994). The development of psychotherapists’ theoretical orientation and clinical practice. British Journal of Guidance &; Counselling, 22(3), 327–341].     

Choice as an Intervention to Improve Behavior: A Review of the Literature

In recent years, choice making has been evaluated as an intervention for people with disabilities. This review examines applied research during the past two decades using choice as a distinct intervention or as part of an intervention package. Fourteen studies published between 1975 and 1996 were identified that implemented choice as an intervention to increase or decrease a target behavior. These studies applied choice-making in the following three broad areas: (a) vocational or domestic activities; (b) academic activities; and (c) leisure, recreational, or social activities. All of the studies indicated that choice-making procedures resulted in behavioral improvements with some, if not all of the participants.     

Ignorance or integration: the cognitive processes underlying choice behavior

The fast‐and‐frugal heuristic framework assumes noncompensatory tools for human preferences (i.e., priority heuristic) and inferences (i.e., take the best heuristic). According to this framework, these heuristics predict choice behavior as well as model the cognitive processes underlying such behavior. The current paper presents two studies that juxtapose predictions derived from these two simple heuristics with alternative predictions derived from compensatory principles. Dependent measures that included reaction time, choice pattern, confidence level, and accuracy were better predicted by compensatory indices than by noncompensatory indices. These findings suggest that people do not rely on limited arguments only, but tend to integrate all acquired information into their choice processes. This tendency was replicated even when the experimental task facilitated the use of noncompensatory principles. We argue that the fast and frugal heuristics can predict the final outcome only under certain conditions, but even in these particular situations they are not applicable to the processes underlying choice behavior. An integrative model for choice behavior is proposed that better represents the data. Copyright © 2009 John Wiley & Sons, Ltd.     

Value-based choice: An integrative,neuroscience-informed model of health goals

Objective: Traditional models of health behaviour focus on the roles of cognitive, personality and social-cognitive constructs (e.g. executive function, grit, self-efficacy), and give less attention to the process by which these constructs interact in the moment that a health-relevant choice is made. Health psychology needs a process-focused account of how various factors are integrated to produce the decisions that determine health behaviour.

Design: I present an integrative value-based choice model of health behaviour, which characterises the mechanism by which a variety of factors come together to determine behaviour. This model imports knowledge from research on behavioural economics and neuroscience about how choices are made to the study of health behaviour, and uses that knowledge to generate novel predictions about how to change health behaviour. I describe anomalies in value-based choice that can be exploited for health promotion, and review neuroimaging evidence about the involvement of midline dopamine structures in tracking and integrating value-related information during choice. I highlight how this knowledge can bring insights to health psychology using illustrative case of healthy eating.

Conclusion: Value-based choice is a viable model for health behaviour and opens new avenues for mechanism-focused intervention.     

Matching, delay-reduction, and maximizing models for choice in concurrent-chains schedules.

Models of choice in concurrent-chains schedules are derived from melioration, generalized matching, and optimization. The resulting models are compared with those based on Fantino's (1969, 1981) delay-reduction hypothesis. It is found that all models involve the delay reduction factors (T - t2L) and (T - t2R), where T is the expected time to primary reinforcement and t2L, t2R are the durations of the terminal links. In particular, in the case of equal initial links, the model derived from melioration coincides with Fantino's original model for full (reliable) reinforcement and with the model proposed by Spetch and Dunn (1987) for percentage (unreliable) reinforcement. In the general case of unequal initial links, the model derived from melioration differs from the revised model advanced by Squires and Fantino (1971) only in the factors affecting the delay-reduction terms (T - t2L) and (T - t2R). The models of choice obtained by minimizing the expected time to reinforcement depend on the type of feedback functions used. In particular, if power feedback functions are used, the optimization model coincides with that obtained from melioration.     

REVIEW OF HEYMAN'S ADDICTION: A DISORDER OF CHOICE

Gene Heyman's Addiction: A Disorder of Choice (2009) advances the important, albeit controversial, view that addiction is not a chronic, relapsing brain disease, but instead is an example of typical everyday choice that is both voluntary and self‐destructive. This review highlights Heyman's arguments for conceptualizing addiction as choice and discusses the utility of the treatment implications that are derived from the melioration model in which Heyman frames addiction. Self‐control and behavioral economics are presented as additional complementary frameworks for understanding addiction as choice, from which pragmatic, evidence‐based treatments for addiction (e.g., contingency management) might more easily be derived.     

Logit models and logistic regressions for social networks: III. Valued relations

This paper generalizes thep* model for dichotomous social network data (Wasserman & Pattison, 1996) to the polytomous case. The generalization is achieved by transforming valued social networks into three-way binary arrays. This data transformation requires a modification of the Hammersley-Clifford theorem that underpins thep* class of models. We demonstrate that, provided that certain (non-observed) data patterns are excluded from consideration, a suitable version of the theorem can be developed. We also show that the approach amounts to a model for multiple logits derived from a pseudo-likelihood function. Estimation within this model is analogous to the separate fitting of multinomial baseline logits, except that the Hammersley-Clifford theorem requires the equating of certain parameters across logits. The paper describes how to convert a valued network into a data array suitable for fitting the model and provides some illustrative empirical examples.This research was supported by grants from the Australian Research Council, the National Science Foundation (#SBR96-30754), and the National Institute of Health (#PHS-1RO1-39829-01).     

The Ape That Thought It Was a Peacock: Does Evolutionary Psychology Exaggerate Human Sex Differences?

This article looks at the evolution of sex differences in sexuality in human beings and asks whether evolutionary psychology sometimes exaggerates these differences. According to a common understanding of sexual selection theory, females in most species invest more than males in their offspring, and as a result, males compete for as many mates as possible, whereas females choose from among the competing males. The males-compete/females-choose (MCFC) model applies to many species but is misleading when applied to human beings. This is because males in our species commonly contribute to the rearing of the young, which reduces the sex difference in parental investment. Consequently, sex differences in our species are relatively modest. Rather than males competing and females choosing, humans have a system of mutual courtship: Both sexes are choosy about long-term mates, and both sexes compete for desirable mates. We call this the mutual mate choice (MMC) model. Although much of the evolutionary psychology literature is consistent with the MMC model, the traditional MCFC model exerts a strong influence on the field, distorting the emerging picture of the evolved sexual psychology of Homo sapiens. Specifically, it has led to the exaggeration of the magnitude of human sex differences, an overemphasis on men's short-term mating inclinations, and a relative neglect of male mate choice and female mate competition. We advocate a stronger focus on the MMC model.     

The influence of popular media characters on children's object choices

Children often prefer objects and food packaging bearing images of popular media characters. However, it is unclear what factors may influence this. This study investigated whether depictions of popular media characters on high-quality (brand new) and low-quality (dirty, broken) objects influenced 3- to 4-year-old children's (N = 84) object preferences, as well as which objects children selected to help them complete a functional task (e.g., using a bucket to transport several small items). We also investigated whether children's preferences were related to inhibitory control. We found children's preferences were influenced by images of popular characters, but not their choice of objects for functional use. Instead, children relied on object quality when selecting an object to complete a task. Inhibitory control was not related to children's object choices. These results suggest children may weigh object features differently when making decisions for different purposes.     

GRADIVA: FREUD,FETISHISM, AND POMPEIAN FANTASY

This paper is a critical reconsideration of Freud's analysis (1907) of Wilhelm Jensen's novella Gradiva: A Pompeian Fantasy (1903). Freud's interest was aroused by the parallels between Jensen's presentation of dreams and Freud's model of dream formation just published in The Interpretation of Dreams (1900). Freud also acclaims Jensen's presentation of the formation and “cure” of his protagonist's delusion about a marble bas‐relief of a woman walking. This paper argues for the centrality of the phenomenon of fetishism, briefly considered but excluded from Freud's analysis. The fantasy of Gradiva as “the necessary conditions for loving” (Freud 1910, pp. 165–166) is also a key thesis of the essay, which makes use of the newly translated Freud–Jensen correspondence contained in this article's Appendix.     

A decision model for steady-state choice in concurrent chains

Grace and McLean (2006) proposed a decision model for acquisition of choice in concurrent chains which assumes that after reinforcement in a terminal link, subjects make a discrimination whether the preceding reinforcer delay was short or long relative to a criterion. Their model was subsequently extended by Christensen and Grace (2008, 2009a, 2009b) to include effects of initial- and terminal-link duration on choice. We show that an expression for steady-state responding can be derived from the decision model, which enables a model for choice that provides an account of archival data that is equal or superior to the contextual choice model (Grace, 1994) and hyperbolic value-added model (Mazur, 2001) in terms of goodness of fit, parsimony, and parameter invariance. The success of the steady-state decision model validates the strategy of understanding acquisition phenomena as a bridge toward explaining choice at the molar level.     

Perspectives of Homeschoolers Motivated by Religious and Moral Reasons

This study sought to highlight the association between motivation to homeschool and public school enrollment. Homeschooling parents (n?=?1052) across the United States responded to questions from a survey administered online. Logistic regression analysis and the chi-square test showed that homeschooling parents who chose the religious/moral answer option on the survey as the reason to homeschool, were less likely to choose to enroll into a public school program. Qualitatively, the narrative data of religious/moral homeschoolers and their reasons not to enroll in public education provided a number of themes, including quality of the environment (n?=?22) and reasons based on religion and faith (n?=?18). These findings may prove useful for public school officials who desire to know more about how some families make educational decisions.     

Attitudes and uptake of a screening test: The moderating role of ambivalence

This study examined the extent to which ambivalence moderates the relationship between attitudes and screening behaviour in a clinical setting using an objective measure of behaviour. For this study 979 pregnant women eligible for prenatal Down syndrome screening completed questionnaire measures of attitudes, ambivalence and intentions towards undergoing the test. Screening behaviour, assessed by test uptake, was determined from medical records. Attitudes predicted intentions to undergo the test and screening behaviour. The correlations between attitudes and intentions and between attitudes and behaviour were greater in women with lower levels of ambivalence (r?=?0.85 and r?=?0.58, respectively) than in those with higher levels of ambivalence (r?=?0.50 and r?=?0.27, respectively). Regression analyses revealed that ambivalence moderated the relationships between attitudes and intention and between attitude and behaviour. In addition, a three-way interaction was found between ambivalence, attitudes and intention when predicting behaviour. Given that behaving consistently with attitudes is central to making an informed choice, ambivalence appears to undermine the making of such choices.     

Bayesian Hierarchical Classes Analysis

Hierarchical classes models are models for N-way N-mode data that represent the association among the N modes and simultaneously yield, for each mode, a hierarchical classification of its elements. In this paper we present a stochastic extension of the hierarchical classes model for two-way two-mode binary data. In line with the original model, the new probabilistic extension still represents both the association among the two modes and the hierarchical classifications. A fully Bayesian method for fitting the new model is presented and evaluated in a simulation study. Furthermore, we propose tools for model selection and model checking based on Bayes factors and posterior predictive checks. We illustrate the advantages of the new approach with applications in the domain of the psychology of choice and psychiatric diagnosis. Iwin Leenen is now at the Instituto Mexicano de Investigación de Familia y Población (IMIFAP), Mexico. The research reported in this paper was partially supported by the Spanish Ministerio de Educación y Ciencia (programa Ramón y Cajal) and by the Research Council of K.U.Leuven (PDM/99/037, GOA/2000/02, and GOA/2005/04). The authors are grateful to Johannes Berkhof for fruitful discussions.     

A simple multivariate probabilistic model for preferential and triadic choices

Multidimensional probabilistic models of behavior following similarity and choice judgements have proven to be useful in representing multidimensional percepts in Euclidean and non-Euclidean spaces. With few exceptions, these models are generally computationally intense because they often require numerical work with multiple integrals. This paper focuses attention on a particularly general triad and preferential choice model previously requiring the numerical evaluation of a 2n-fold integral, wheren is the number of elements in the vectors representing the psychological magnitudes. Transforming this model to an indefinite quadratic form leads to a single integral. The significance of this form to multidimensional scaling and computational efficiency is discussed.The authors would like to thank Jean-Claude Falmagne and Norman Johnson for suggestions and advice concerning quadratic forms.     

Model fitting in (<Emphasis Type="Italic">n</Emphasis>+1) dimensions

Conventionally, fitting a mathematical model to empirically derived data is achieved by varying model parameters to minimize the deviations between expected and observed values in the dependent dimension. However, when functions to be fit are multivalued (e.g., an ellipse), conventional model fitting procedures fail. A novel (n+1)-dimensional [(n+1)-D] model fitting procedure is presented which can solve such problems by transforming then-D model and data into (n+1)-D space and then minimizing deviations in the constructed dimension. While the (n+1)-D procedure provides model fits identical to those obtained with conventional methods for single-valued functions, it also extends parameter estimation to multivalued functions.     

A dual process item response theory model for polytomous multidimensional forced-choice items

The use of multidimensional forced-choice (MFC) items to assess non-cognitive traits such as personality, interests and values in psychological tests has a long history, because MFC items show strengths in preventing response bias. Recently, there has been a surge of interest in developing item response theory (IRT) models for MFC items. However, nearly all of the existing IRT models have been developed for MFC items with binary scores. Real tests use MFC items with more than two categories; such items are more informative than their binary counterparts. This study developed a new IRT model for polytomous MFC items based on the cognitive model of choice, which describes the cognitive processes underlying humans' preferential choice behaviours. The new model is unique in its ability to account for the ipsative nature of polytomous MFC items, to assess individual psychological differentiation in interests, values and emotions, and to compare the differentiation levels of latent traits between individuals. Simulation studies were conducted to examine the parameter recovery of the new model with existing computer programs. The results showed that both statement parameters and person parameters were well recovered when the sample size was sufficient. The more complete the linking of the statements was, the more accurate the parameter estimation was. This paper provides an empirical example of a career interest test using four-category MFC items. Although some aspects of the model (e.g., the nature of the person parameters) require additional validation, our approach appears promising.     

A zero-bounded model of operant demand

Contemporary approaches for evaluating the demand for reinforcers use either the Exponential or the Exponentiated model of operant demand, both derived from the framework of Hursh and Silberberg (2008). This report summarizes the strengths and complications of this framework and proposes a novel implementation. This novel implementation incorporates earlier strengths and resolves existing shortcomings that are due to the use of a logarithmic scale for consumption. The Inverse Hyperbolic Sine (IHS) transformation is reviewed and evaluated as a replacement for the logarithmic scale in models of operant demand. Modeling consumption in the “log₁₀-like” IHS scale reflects relative changes in consumption (as with a log scale) and accommodates a true zero bound (i.e., zero consumption values). The presence of a zero bound obviates the need for a separate span parameter (i.e., k) and the span of the model may be more simply defined by maximum demand at zero price (i.e., Q₀). Further, this reformulated model serves to decouple the exponential rate constant (i.e., α) from variations in span, thus normalizing the rate constant to the span of consumption in IHS units and permitting comparisons when spans vary. This model, called the Zero-bounded Exponential (ZBE), is evaluated using simulated and real-world data. The direct reinstatement ZBE model showed strong correspondence with empirical indicators of demand and with a normalization of α (ZBEn) across empirical data that varied in reinforcing efficacy (dose, time to onset of peak effects). Future directions in demand curve analysis are discussed with recommendations for additional replication and exploration of scales beyond the logarithm when accommodating zero consumption data.