The stability of aspect-based career preferences and of the recommended list of occupations derived from them

Career-related preferences (e.g., team work, independence, length of training, income), which are an elaboration and extension of vocational interests, are one of the cornerstones that guide individuals to promising occupations recommended for further exploration. These preferences are informative and can serve individuals and their career counselors only if they are reliable and stable. Study 1 tested the two-week reliability of 31 career-related preferences of 213 freshman students and the two-year stability of the preferences of 132 of these students. Both the within-aspect preferred levels (e.g., only indoors most preferred, but mostly indoors also acceptable) and the importance of the aspects were elicited. The median within-participant two-week reliability was .85 for preferred levels and .64 for aspect importance; the median two-year stabilities were .75 and .51, respectively. In Study 2, the preferences elicited in Study 1 were used to derive a list of recommended occupations compatible with each participant's preferences at Time 1, Time 2 (2 weeks later), and Time 3 (2 years later), using a compensatory-model-based fit index. The percentage of identical occupations in the lists of the top ten recommended occupations was quite high — 62% for Time 1 and Time 2, and 54% for Time 1 and Time 3. The theoretical and practical implications of the reliability and stability of recommendations based on aspect-based career preferences are discussed.     

Development and Initial Validation of a Scale Measuring the Beliefs of Educators Regarding Response to Intervention

This article presents information on the development and initial validation of the 16-item Response to Intervention (RTI) Beliefs Scale. The scale is designed to measure the extent to which educators working in schools hold beliefs consistent with the tenets of RTI. The authors administered the instrument to 2,430 educators in 62 elementary schools in the fall of 2007 and 2,443 educators in 68 elementary schools in the spring of 2008. Exploratory, single-level confirmatory, and multilevel confirmatory factor analysis procedures were used to examine construct validity. Results supported a correlated 3-factor model (Academic Abilities and Performance of Students with Disabilities, Data-Based Decision Making, and Functions of Core and Supplemental Instruction) at both the school and educator levels of analysis. Furthermore, the factor scores derived from the model demonstrated significant, positive relations to RTI implementation. Reliability estimates for two of the three factor scores exceeded.70. Implications for research on educator beliefs and implementation of RTI as well as implications for school psychologists supporting RTI implementation are discussed.     

The interference effect of men's handling of muscular action figures on a lexical decision task

It has been shown in previous work [Action figures and men. Sex Roles 53, 877–885] that male participants who handled extremely muscular action figures had lower body esteem than those who did not handle action figures or a Ken doll. However, the internal mechanisms that dictated this effect are unclear. Therefore, the current study extended this previous work by having male participants handle action figures of varying muscularity and completing a lexical decision task with target words that consisted of both positive and negative body words and feeling words in order to determine if males would be primed to think negatively about their bodies and self or if positive thoughts about their bodies and self would be interfered with. The results show that those participants who handled the extremely muscular action figures responded significantly more slowly to feeling positive words (e.g., content, confident) and marginally more slowly to body positive words (e.g., muscle, bicep) than those who did not handle any action figures. Overall, this suggests that the interference of positive words, not the priming of negative words, is the internal mechanism that produces the decreased body image satisfaction after exposure to muscular stimuli. Implications and future research are discussed.     

Episodic chasing in pathological gamblers using the Iowa gambling task

"Chasing ones losses" is a key symptom among pathological gamblers (PGs). This study focuses on quantitative differences in episodic chasing (i.e., sequences of disadvantageous decisions within a single gambling session) between PGs and non-pathological gamblers (NPGs). We compared 61 PGs and 39 NPGs on the Iowa Gambling Task (IGT) and the Zuckerman Sensation Seeking Scale (SSS). The PGs showed significantly more chasing and had significantly poorer decision-making strategies than NPGs, particularly among males (F = 4.52, p < 0.05). Random players were significantly less sensation seeking than advantageous and disadvantageous (i.e., chasing) players, but there was no interaction with group or gender. The results suggest that quantifiable within-session gambling behavior holds important implications for detecting underlying vulnerabilities to gambling pathology.     

Optimism as modifier of escalation of commitment

To study whether optimism-pessimism modifies escalation of commitment, 52 undergraduates were told that they had made an unsuccessful investment, then they chose to continue or discontinue this investment. Optimism about future returns was induced in one group by varying the probability of a successful outcome from an initial low to medium, pessimism was induced in another group by varying this probability from an initial high to medium. Supporting the assumption of the manipulation, the results showed that optimistic participants preferred to continue investments whereas pessimistic participants preferred not to. As predicted, when the sunk cost increased, optimism led to escalation of commitment, whereas pessimism led to de-escalation of commitment. These effects were strengthened when probability of a successful outcome was ambiguous.     

Do Investment Risk Tolerance Attitudes Predict Portfolio Risk?

We investigated a new instrument designed to assess investment risk tolerance, the Risk Tolerance Questionnaire (RTQ). RTQ scores were positively correlated with scores on two other investment risk measures, but were not correlated with a measure of sensation-seeking (Zuckerman, 1994), suggesting that investment risk tolerance is not explainable by a general cross-domain appetite for risk. Importantly, RTQ scores were positively correlated with the riskiness of respondents’ actual investment portfolios, meaning that investors with high risk-tolerance score tend to have higher-risk portfolios. Finally, respondents with relatively more investment experience had more risk-tolerant responses and higher-risk portfolios than less experienced investors.

Beta-MPT: Multinomial processing tree models for addressing individual differences

Traditionally, multinomial processing tree (MPT) models are applied to groups of homogeneous participants, where all participants within a group are assumed to have identical MPT model parameter values. This assumption is unreasonable when MPT models are used for clinical assessment, and it often may be suspect for applications to ordinary psychological experiments. One method for dealing with parameter variability is to incorporate random effects assumptions into a model. This is achieved by assuming that participants’ parameters are drawn independently from some specified multivariate hyperdistribution. In this paper we explore the assumption that the hyperdistribution consists of independent beta distributions, one for each MPT model parameter. These beta-MPT models are ‘hierarchical models’, and their statistical inference is different from the usual approaches based on data aggregated over participants. The paper provides both classical (frequentist) and hierarchical Bayesian approaches to statistical inference for beta-MPT models. In simple cases the likelihood function can be obtained analytically; however, for more complex cases, Markov Chain Monte Carlo algorithms are constructed to assist both approaches to inference. Examples based on clinical assessment studies are provided to demonstrate the advantages of hierarchical MPT models over aggregate analysis in the presence of individual differences.     

A Bayesian-optimal principle for learner-friendly adaptation in learning games

Adaptive learning games should provide opportunities for the student to learn as well as motivate playing until goals have been reached. In this paper, we give a mathematically rigorous treatment of the problem in the framework of Bayesian decision theory. To quantify the opportunities for learning, we assume that the learning tasks that yield the most information about the current skills of the student, while being desirable for measurement in their own right, would also be among those that are efficient for learning. Indeed, optimization of the expected information gain appears to naturally avoid tasks that are exceedingly demanding or exceedingly easy as their results are predictable and thus uninformative. Still, tasks that are efficient for learning may be experienced as too challenging, and the resulting failures can lower motivation. Therefore, in addition to quantifying the expected informational benefit for learning of any prospective task to be presented next, we also model the expected motivational cost of its presentation, measured simply as the estimated probability of failure in our example model. We propose a “learner-friendly” adaptation algorithm that chooses the learning tasks by optimizing the expected benefit divided by the expected cost. We apply this algorithm to a Rasch-like student model implemented within a real-world application and present initial results of a pilot experiment.