The moderator role of followers’ personality traits in the relations between leadership styles,two types of task performance and work result satisfaction

Authentic leadership is changing our understanding of what makes good leadership. However, few studies have explored how followers’ individual differences and the nature of the task they perform affect its relation to followers’ work outcomes. We examine the moderator role of two core task types (intellective vs. generative) and two personality traits (conscientiousness and emotional stability) in the relationship between two leadership feedback styles (authentic vs. transactional) and task performance or work result satisfaction in a two-wave experiment. The sample consisted of 228 participants enrolled in an organizational psychology course, 34% of whom had work experience. Our results show that over time the effect of an authentic feedback style on task performance became stronger for those participants who previously scored very low on intellective tasks or very high on generative tasks. Furthermore, a significant three-way interaction between these two traits and our leadership feedback styles indicates that the effect of authentic feedback conforms different patterns depending on the followers’ personality traits and the type of task they perform. Moreover, authentic feedback had a stronger effect on participants’ work result satisfaction. Participants with low levels of either conscientiousness or emotional stability displayed higher levels of satisfaction in the authentic feedback condition.     

Verbalization of Decision Strategies in Multiple‐Cue Probabilistic Inference

In multiple‐cue probabilistic inference, people choose between alternatives based on several cues, each of which is differentially associated with an alternative's overall value. Various strategies have been proposed for probabilistic inference (e.g., weighted additive, tally, and take‐the‐best). These strategies differ in how many cue values they require to enact and in how they weight each cue. Do decision makers actually use any of these strategies? Ways to investigate this question include analyzing people's choices and the cues that they reveal. However, different strategies often predict the same decisions, and search behavior says nothing about whether or how people use the information that they acquire. In this research, we attempt to elucidate which strategies participants use in a multiple‐cue probabilistic inference task by examining verbal protocols, a high‐density source of process data. The promise of verbal data is in their utility for testing detailed information processing models. To that end, we apply protocol analysis in conjunction with computational simulations. We find converging evidence across outcome measures, search measures, and verbal reports that most participants use simplifying heuristics, namely take‐the‐best. Copyright © 2015 John Wiley & Sons, Ltd.     

Achieving what cannot be done: coping with the time constants in a dynamic decision task by doing something else

This study examines how people handle the time constants in dynamic decision tasks, using a microworld called NEWFIRE which simulates forest fire fighting. The results showed that the participants did not adapt to the time constants, as shown by the fact that they did not discriminate between fires requiring different number of fire fighting units when varying the number of fire fighting units was a means of compensating for the time constants. If they were allowed to move units before the fire started their performance improved, suggesting that they could compensate for their problems with the time constants by restructuring the task in such a way that they did not need to consider them. It is suggested that such restructuring may well be how people handle dynamic tasks also in other circumstances, and that more effort should be put into studying what people actually do in dynamic tasks, rather than into only assessing whether or not they perform optimally.     

A comparison of disconfirmatory, confirmatory and control strategies on Wason's 2-4-6 task

Attempts to instruct subjects to falsify on inference tasks designed to model scientific problem-solving have indicated that, in most cases, falsification does not lead to improved performance. The only study in which instructions to falsify did improve performance was done with groups, using a novel inference task. The present study is an attempt to replicate the success of falsification in the group study with subjects run individually on an inference task that has been used extensively in the literature: Wason's 2-4-6 problem. Each subject was run in one of three strategy conditions: confirmatory, disconfirmatory or control (no-strategy).

Results indicated that subjects in the disconfirmatory condition solved the 2-4-6 problem significantly more often than subjects in other conditions. The superior performance of disconfirmatory subjects was explained by the fact that they deliberately sought and obtained significantly more falsificatory information than subjects in other conditions.

The critical difference between this study and previous attempts to instruct individual subjects to falsify on the 2-4-6 task is that subjects in the present study were given no feedback as to whether their guesses were right or wrong until the experiment was over. The implications of this result for scientific problem-solving are discussed.     

Preliminaries to a psychology of inference

This paper presents a general pretheoretical framework for the study of inference. The framework is that of Social Judgment Theory which has been developed from Brunswik's probabilistic functionalism. The first section discusses the fundamental theoretical ideas and methodological principles. Important among these is the stress on the need to study the relation between the cognitive system and the inference task using parallel concepts for describing the cognitive system and the task, the theory of cognitive tasks, and the methodology of formal representative sampling. The second section describes a series of experimental paradigms developed from the basic ideas discussed in the first section. The third, and final section gives some examples of actual empirical research, mainly research concerned with the hypothesis testing process by means of which subjects learn inference tasks, studies on cognitive skills in using various rules for making inferences, new conceptions of feedback, research on the effects of feedforward, and interpersonal learning.     

Children's numerical skill and judgments of confidence in estimation

This study investigated how children's fluent use of a basic numerical skill is related to their perceptions of confidence on a task of quantitative estimation. One hundred four 10th graders (age 15.7 years) were categorized according to level of numerical fluency as assessed by timed tasks of counting in various nonunity increments. They then made estimates of large numbers of dots and rated how confident they were on each trial. The estimation task varied according to two within-subject factors of task difficulty. It was found that counting skill was related not only to accuracy in estimating, but also to the appropriateness of the children's confidence in their responses. Skillful children made judgments that corresponded with actual task difficulty. A derived calibration score corroborated ANOVA findings of the interaction of skill level and task difficulty on confidence ratings. It also revealed that while girls were less confident than boys, they were actually more realistic in their judgments. Findings are discussed in terms of (a) the effect of stimulus knowledge on awareness of task difficulty and (b) sex differences in achievement-related expectancies.     

A note on cue probability learning: what conditioning data reveal about cue contrast

In a probabilistic learning task with two complementary cues (C₁ and C₂) and two events (E₁ and E₂) the subject has a tendency to infer that E₂ will occur when C₂ occurs after he/she has observed that E₁ frequently goes with C₁. This phenomenon was termed cue contrast because it reflects the belief that C₂ contrasts with C₁ and should indicate E₂. Two kinds of predictions following from the notion of cue contrast were tested on response proportions from the first block of trials in four previously published experiments on cue probability learning. Of a total of 15 independent observations (eight within-group comparisons; seven between-group comparisons) 13 confirmed the predictions (sign test, p<0.005). It was concluded that cue utilization is both an inductive process based on association between cues and events and an inferential process based on contrast.     

The probabilistic approach to human reasoning

A recent development in the cognitive science of reasoning has been the emergence of a probabilistic approach to the behaviour observed on ostensibly logical tasks. According to this approach the errors and biases documented on these tasks occur because people import their everyday uncertain reasoning strategies into the laboratory. Consequently participants' apparently irrational behaviour is the result of comparing it with an inappropriate logical standard. In this article, we contrast the probabilistic approach with other approaches to explaining rationality, and then show how it has been applied to three main areas of logical reasoning: conditional inference, Wason's selection task and syllogistic reasoning.     

Dividing Attention Between Tasks: Testing Whether Explicit Payoff Functions Elicit Optimal Dual‐Task Performance

We test people's ability to optimize performance across two concurrent tasks. Participants performed a number entry task while controlling a randomly moving cursor with a joystick. Participants received explicit feedback on their performance on these tasks in the form of a single combined score. This payoff function was varied between conditions to change the value of one task relative to the other. We found that participants adapted their strategy for interleaving the two tasks, by varying how long they spent on one task before switching to the other, in order to achieve the near maximum payoff available in each condition. In a second experiment, we show that this behavior is learned quickly (within 2–3 min over several discrete trials) and remained stable for as long as the payoff function did not change. The results of this work show that people are adaptive and flexible in how they prioritize and allocate attention in a dual‐task setting. However, it also demonstrates some of the limits regarding people's ability to optimize payoff functions.     

Effects of information-presentation mode and task complexity on the learning of probabilistic inference tasks

Learning of two-cue probabilistic inference tasks was studied in a 2 level of information-presentation mode (visual access to an ordered array of cue values vs. no such access) by 2 levels of task complexity (linear vs. nonlinear cue-criterion relations). The results replicated earlier findings in that performance was better in the linear tasks than in the nonlinear ones, and also showed that visual access to an ordered array of cue values facilitated performance, viz. there were no interactions. The results were interpreted as evidence that at least part of the suboptimal performance in ordinary experiments of this kind is due to cognitive strain introduced by the lack of control of the sequence of instances of cue-criterion pairs.     

Learning to use functional rules in inference tasks

Abstract.— Earlier studies have established that subjects perform less well in inference tasks with nonlinear rules than in tasks with linear rules, and that one source of the lower level of performance in nonlinear tasks is that the subjects cannot utilize a nonlinear rule as well as they utilize a linear rule. The three experiments in this paper investigate whether utilization of a nonlinear rule can be improved by training. The results show that there is some improvement with training, but the improvement could not be attributed to feedback, or to the learning of specific cue and criterion values. Cognitive feedback did not produce higher performance than ordinary outcome feedback.     

The importance of gesture in children's spatial reasoning

On average, men outperform women on mental rotation tasks. Even boys as young as 4 1/2 perform better than girls on simplified spatial transformation tasks. The goal of our study was to explore ways of improving 5-year-olds' performance on a spatial transformation task and to examine the strategies children use to solve this task. We found that boys performed better than girls before training and that both boys and girls improved with training, whether they were given explicit instruction or just practice. Regardless of training condition, the more children gestured about moving the pieces when asked to explain how they solved the spatial transformation task, the better they performed on the task, with boys gesturing about movement significantly more (and performing better) than girls. Gesture thus provides useful information about children's spatial strategies, raising the possibility that gesture training may be particularly effective in improving children's mental rotation skills.     

Feedback and the rationing of time and effort among competing tasks

The study described here tested a model of how characteristics of the feedback environment influence the allocation of resources (time and effort) among competing tasks. Results demonstrated that performers invest more resources on tasks for which higher quality (more timely and more specific) feedback is available; this effect was partially mediated by task salience and task expectancies. Feedback timing and feedback specificity demonstrated both main and interaction effects on resource allocations. Results also demonstrated that performers do better on tasks for which higher quality feedback is available; this effect was mediated by resources allocated to tasks. The practical and theoretical implications of the role of the feedback environment in managing performance are discussed.     

Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task?

We report the results of an experiment in which human subjects were trained to perform a perceptual matching task. Subjects were asked to manipulate comparison objects until they matched target objects using the fewest manipulations possible. An unusual feature of the experimental task is that efficient performance requires an understanding of the hidden or latent causal structure governing the relationships between actions and perceptual outcomes. We use two benchmarks to evaluate the quality of subjects' learning. One benchmark is based on optimal performance as calculated by a dynamic programming procedure. The other is based on an adaptive computational agent that uses a reinforcement-learning method known as Q-learning to learn to perform the task. Our analyses suggest that subjects were successful learners. In particular, they learned to perform the perceptual matching task in a near-optimal manner (i.e., using a small number of manipulations) at the end of training. Subjects were able to achieve near-optimal performance because they learned, at least partially, the causal structure underlying the task. In addition, subjects' performances were broadly consistent with those of model-based reinforcement-learning agents that built and used internal models of how their actions influenced the external environment. We hypothesize that people will achieve near-optimal performances on tasks requiring sequences of action-especially sensorimotor tasks with underlying latent causal structures-when they can detect the effects of their actions on the environment, and when they can represent and reason about these effects using an internal mental model.     

Attentional demands following perceptual skill training

Practicing simple visual tasks induces substantial improvement. We investigated whether increased efficiency is accompanied by automaticity and immunity to across-task interference. We found that although practice speeds orientation feature detection, it does not abolish susceptibility to interference from introduction of concurrent central-letter identification, which takes priority. Yet following training with each task, observers successfully managed to perform the tasks concurrently. The effectiveness of separate training implies that the role of improved intertask coordination in achieving concurrent performance was minor. Indeed, even when initial training was concurrent, improvement on the two tasks was sequential, and the higher-priority (central) task was learned first. However, automatic processing was not accomplished either, because increasing the difficulty of the higher-priority task interfered with performance of both tasks. What appears to be orchestrated posttraining performance is actually mainly an emergent property of speeded initial processes rather than either eliminated bottlenecks or improved central executive management.     

Strategies of rule discovery in an inference task

It has long been known that subjects in certain inference tasks will seek evidence which can confirm their present hypotheses, even in situations where disconfirmatory evidence could be more informative. We sought to alter this tendency in a series of experiments which employed a rule discovery task, the 2-4-6 problem first described by Wason. The first experiment instructionally modified subjects confirmatory tendencies. While a disconfirmatory strategy was easily induced, it did not lead to greater efficiency in discovering the rule. The second experiment introduced subjects to the possibility of disconfirmation only after they had developed a strongly held hypothesis through the use of confirmatory evidence. This manipulation also failed to alter the efficiency of rule discovery. In the third experiment, subjects were taught to use multiple hypotheses at each step, in the manner of Platt's “Strong Inference”. This operation actually worsened performance. Finally, in the fourth experiment, the structure of the problem was altered slightly by asking subjects to seek two interrelated rules. A dramatic increase in performance resulted, perhaps because information which in previous tasks was seen as merely erroneous could now be related to an alternative rule. The four studies have broad implications for the psychological study of inference processes in general, and for the study of scientific inference in particular.     

The domain specificity and generality of overconfidence: Individual differences in performance estimation bias

One hundred twenty-three college students performed a knowledge assessment task and a game of motor skill in which they had to predict their performance before each block of trials. There was a bias in the direction of overconfidence on both tasks, even though the latter involved the motor domain, did not require the use of numeric probabilities, and allowed predictions to be made by using an aggregate judgment made in a frequentist mode. An analysis of individual differences indicated that there was considerable domain specificity in confidence judgments. However, participants who persevered in showing overconfidence in the motor task—despite previous feedback revealing their overconfident performance predictions—were significantly more overconfident in the knowledge calibration task than were participants who moderated their motor performance predictions so as to remove their bias toward overconfidence. The latter finding is consistent with explanations of overconfidence effects that implicate mechanisms with some degree of domain generality.     

The task-specific nature of domain-general reasoning

This paper develops a theory of how interpretative processes constrain inferential performance on conditional reasoning tasks. Experiment 1 investigated the hypothesis that performance on common reasoning tasks is mediated by different interpretive variables. Necessity and sufficiency relations predicted performance on the conditional arguments task, whereas on the Wason task, performance was predicted by whether the conditional statement instantiated a deontic or a factual relation. Performance on the truth-table task was predicted by both sets of variables. Experiment 2 explored the mapping relation between interpretation, representation, and inference. It was observed that conditional responses to the Wason and arguments tasks were based on different representations of the conditional relationship. These data rule out a simple model of the interplay between interpretation and reasoning in which the interpretation of a statement is driven solely by its content, and instead, indicate that the interpretation of conditional relations is task-specific.     

Potential performance theory (PPT): a general theory of task performance applied to morality

People can use a variety of different strategies to perform tasks and these strategies all have two characteristics in common. First, they can be evaluated in comparison with either an absolute or a relative standard. Second, they can be used at varying levels of consistency. In the present article, the authors develop a general theory of task performance called potential performance theory (PPT) that distinguishes between observed scores and true scores that are corrected for inconsistency (i.e., potential scores). In addition, they argue that any kind of improvement to task performance, whatever it may be, works by influencing either task strategies, which comprise all nonrandom components that are relevant to the task, or the consistency with which strategies are used. In the current study, PPT is used to demonstrate how task strategies and the consistencies with which they are used impact actual performance in the domain of morality. These conclusions are extended to other domains of task performance.     

Once a boring task always a boring task? Interest as a self-regulatory mechanism.

A process was proposed through which individuals regulate their motivation to perform necessary but uninteresting activities over time. If committed to continuing, individuals may engage in interest-enhancing strategies that can change the activity into something more positive to perform. In Study 1 Ss performed novel tasks and generated strategies to make regular performance interesting. In Study 2 Ss actually used these strategies primarily in conditions indicating a self-regulatory attempt: The task was currently boring, there was a perceived reason to continue (alleged health benefit), and a relevant strategy was available. Strategy use was associated with a change in activity definition and greater likelihood of subsequently performing the activity. In Study 3 Ss beliefs about how to maintain motivation to perform more everyday activities emphasized the importance of regulating interest relative to other self-regulatory strategies.