What People Want From Their Professionals: Attitudes Toward Decision‐making Strategies

Attitudes toward four types of decision‐making strategies—clinical/fully rational, clinical/heuristic, actuarial/fully rational, and actuarial/heuristic—were examined across three studies. In Study 1, undergraduate students were split randomly between legal and medical decision‐making scenarios and asked to rate each strategy in terms of the following: (i) preference; (ii) accuracy; (iii) fairness; (iv) ethicalness; and (v) its perceived similarity to the strategies used by actual legal and medical professionals to make decisions. Studies 2 and 3 extended Study 1 by using a more relevant scenario and a community sample, respectively. Across the three studies, the clinical/fully rational strategy tended to be rated the highest across all attitudinal judgments, whereas the actuarial/heuristic strategy tended to receive the lowest ratings. Considering the two strategy‐differentiating factors separately, clinically based strategies tended to be rated higher than actuarially based strategies, and fully rational strategies were always rated higher than heuristic‐based strategies. The potential implications of the results for professionals' and those affected by their decisions are discussed. Copyright © 2011 John Wiley & Sons, Ltd.     

Consumer decisions in relationships

Most research on consumer choice assumes that decisions are usually made by individuals, and that these decisions are based on an individual's personal attitudes, beliefs, and preferences. Yet, much consumer behavior—from joint decisions to individual choices—is directly or indirectly shaped by people with whom we have some relationship. In this target article, we examine how each member in a relationship can affect how consumer decisions are made. After reviewing foundational work in the area, we introduce a powerful and statistically sophisticated methodology to study decisions within relationships—a dyadic framework of decision-making. We then discuss how the study of consumer decisions in relationships can be informed by different theories in the relationships field, including attachment, interdependence, social power, communal/exchange orientations, relationship norms, and evolutionary principles. By building on the seminal foundations of prior joint-decision making research with theories and methods from contemporary relationship science, we hope to facilitate the integration of the consumer and relationships literature to better understand and generate novel hypotheses about consumer decisions in relationships.     

Bridging the gap between joint and individual decisions: Deconstructing preferences in relationships

Most choice research has studied how people make decisions within a narrowly defined choice context and has not paid sufficient attention to the role of social context. We commend Simpson, Griskevicius, and Rothman for directing the attention of choice researchers to the study of joint decision making and current theories on relationships. Building on SGR, we propose that a relationship partner's influence varies with the type of decision at hand and with situational factors. We propose four possible types of decision episodes, defined by whether the decision stage and the consumption stage each occur singly or jointly, and explore how the decision type impacts the extent to which a decision maker will take a partner's preferences into account. We further discuss how situational factors, such as the environment in which the decision is made, as well as the mindset and cognitive resources of the decision maker, are likely to influence decision outcomes.     

Israeli Students' Perspectives Concerning Determinants of Intelligence

Abstract

Students' attitudes toward the nature versus nurture controversy pertaining to a variety of critical phenomena in the intelligence domain were assessed. A student inventory was constructed, pretested, and group administered to 269 students in various academic institutions in northern Israel, and comparisons were made between various sex, social, and ethnic groups. The majority of the students maintained that environment is the main factor influencing both personality and intelligence. Environment and an Environment x Heredity interaction were the most popular categories used to explain various generalizations about differences in ability, particularly among lower-class students. Students of Western origin were more inclined to adopt an environmental perspective on differences in IQ than were their Eastern counterparts. No sex differences were observed.     

The brain's hemispheres and controlled search of the lexicon: evidence from fixated words and pseudowords

Difference between the brain's hemispheres in efficiency of intentional search of the mental lexicon with phonological, orthographic, and semantic strategies was investigated. Letter strings for lexical decision were presented at fixation, with a lateralized distractor to the LVF or RVF. Word results revealed that both hemispheres were capable of using each of the three strategies, but the right hemisphere had better baseline processing of orthography and was better at processing semantics. Pseudoword results supported the right hemisphere advantage for orthography and showed a left hemisphere advantage for phonology and assessment of possible semantic relationships. Taken together, the data support the idea that the right hemisphere uses orthography to make efficient decisions about novelty of an item, while the left engages in grapheme-to-phoneme conversion to test hypotheses about unfamiliar items. The convergence of data with previous research reveals that the procedure, as well as analyses of pseudowords, inform laterality research.     

Is the go/no-go lexical decision task preferable to the yes/no task with developing readers?

The lexical decision task is probably the most common laboratory visual word identification task together with the naming task. In the usual setup, participants need to press the “yes” button when the stimulus is a word and the “no” button when the stimulus is not a word. A number of studies have employed this task with developing readers; however, error rates and/or response times tend to be quite high. One way to make the task easier for young readers is by employing a go/no-go procedure: “If word, press ‘yes’; if not, refrain from responding.” Here we conducted a lexical decision experiment that systematically compared the yes/no and go/no-go variants of the lexical decision task with developing readers (second- and fourth-grade children). Results showed that (a) error rates for words and nonwords were much lower in the go/no-go task than in the yes/no task, (b) lexical decision times were substantially faster in the go/no-go task, and (c) there was less variability in the latency data of the go/no-go task for high-frequency words. Thus, the go/no-go lexical decision task is preferable to the “standard” yes/no task when conducting experiments with developing readers.     

Modeling the effect of reward amount on probability discounting

The present study with college students examined the effect of amount on the discounting of probabilistic monetary rewards. A hyperboloid function accurately described the discounting of hypothetical rewards ranging in amount from $20 to $10,000,000. The degree of discounting increased continuously with amount of probabilistic reward. This effect of amount was not due to changes in the rate parameter of the discounting function, but rather was due to increases in the exponent. These results stand in contrast to those observed with the discounting of delayed monetary rewards, in which the degree of discounting decreases with reward amount due to amount-dependent decreases in the rate parameter. Taken together, this pattern of results suggests that delay and probability discounting reflect different underlying mechanisms. That is, the fact that the exponent in the delay discounting function is independent of amount is consistent with a psychophysical scaling interpretation, whereas the finding that the exponent of the probability-discounting function is amount-dependent is inconsistent with such an interpretation. Instead, the present results are consistent with the idea that the probability-discounting function is itself the product of a value function and a weighting function. This idea was first suggested by Kahneman and Tversky (1979), although their prospect theory does not predict amount effects like those observed. The effect of amount on probability discounting was parsimoniously incorporated into our hyperboloid discounting function by assuming that the exponent was proportional to the amount raised to a power. The amount-dependent exponent of the probability-discounting function may be viewed as reflecting the effect of amount on the weighting of the probability with which the reward will be received.     

Rational Choice and Moral Decision Making in Research

University psychology and sociology researchers rated the likelihood they would engage in misconduct as described in 9 research scenarios, while also making moral judgments and rating the likelihood of discovery and sanctions. Multiple regression revealed significant effects across various scenarios for moral judgment as well as shame and embarrassment on reducing misconduct. The effects on misconduct of the perceived probability of sanctions were conditioned on moral judgments in some scenarios. The results have implications for how universities address the prevention, detection, and sanctioning of research misconduct.     

What a feeling! Touching sexually laden stimuli makes women seek rewards

We argue that women's previously documented unresponsiveness to sexual primes when making economic decisions may be a consequence of the specific types of primes that have been used (i.e., visual primes). In three studies we show that presenting women with tactile sexual cues does influence their decisions about economic rewards. Similar to the effect found in men, the first study demonstrates that touching a pair of boxer shorts leads to a craving for monetary rewards in women. In the second study it is shown that touching a pair of boxers makes women less loss averse for both money and food. The third study explicitly focuses on the relative effectiveness of tactile versus visual sexual cues in altering women's economic decisions, and reveals that women's willingness-to-pay for economic rewards increases only when the sexual cue is tactile. We suggest that touching (vs. seeing) sexually laden stimuli prompts pre-programmed consummatory Pavlovian responses that promote approaching economic rewards.     

A method in modeling interactive pedestrian crossing and driver yielding decisions during their interactions at intersections

Investigating pedestrian crossing and driver yielding decisions should be an important focus considering the high risks of pedestrians in exposed to motorized traffic. Limitations, however, exist in previous studies – variables considered previously have been limited; how their behavior affect each other (defined as interactive impacts) were not sufficiently considered. This paper aims to provide a methodological approach for pedestrian crossing and driver yielding decisions during their interactions, considering of different variable types including interactive impact variables, traffic condition variables, road design variables, and environment variables. A Distance-Velocity (DV) framework proposed in an earlier study is introduced for definitions and concepts in studying pedestrian-vehicle interactions. Logistic regression, support vector machines, neural networks and random forests, are introduced as candidate models. A case study involving six crosswalk locations is conducted, focusing on interactions between pedestrians and right-turn vehicles. The proposed methodological approach is applied, with the performance of the four machine learning methods compared in terms of model generalization and confusion matrix. The model with the best performance is further compared to the typical gap-based model. Results show that random forest and logistic regression models performed the best in modeling pedestrian crossing and driver yielding decisions respective, in terms of model generalization. Besides, the DV-based modeling method (average accuracy of over 90% for pedestrians and 80% for drivers) outperformed the traditional gap-based method in all test seeds. As a key finding, interactive impacts from each other (the pedestrian and the driver) act as a key contributing variable on their decisions.