Response Generalization in Behavioral Safety

Abstract

This paper details concerns with the potential misuse of the term “response generalization” in the behavioral safety literature. Stokes and Baer's (1977) technologies of generalization and the basic literature on response induction are used to make the claim. Ludwig and Geller's (2000) Journal of Organizational Behavior Management special issue describing their work with pizza delivery drivers is used as an example. The potential problems of non-technical use of language in a technological behavioral science are briefly discussed. Finally, Baer, Wolf, and Risley's (1968, 1987) criteria of applied behavior analysis are re-visited in this context in hopes of calling researchers of organizational behavior management to more closely align their work with the tradition of applied behavior analysis.     

The importance of self-efficacy in the moderating effects of social support on stressor–strain relationships

Abstract

Occupational stress research offers inconsistent findings on the moderating effects of social support on the stressor–strain relationship. This study contributes to the research literature by examining how social support's moderating effect is dependent on one's self-efficacy. Ninety-six US military police soldiers completed two surveys 3 months apart. The results showed that three out of four regression equations had significant three-way interactions. Organizational constraints×supervisor support×self-efficacy had statistically significant interactions in the prediction of job satisfaction and psychological well-being. Organizational constraints×co-worker support×self-efficacy had a significant interaction in the predicted of psychological well-being. These interactions explained between 5% and 10% of the variance in the dependent variables. Social support buffered the stressor–strain relationship when self-efficacy was high and reverse buffered the relationship when self-efficacy was low. These results indicate that interventions aimed at reducing strains by increasing social support should consider an individual's self-efficacy. Future research should consider incorporating content of communication to determine if high and low self-efficacy individuals receive or react differently to different types of communication content.     

Organizational interventions: A research-based framework for the evaluation of both process and effects

Abstract

Organizational interventions are often recommended when organizations want to improve employee psychological health and well-being. Research, however, has revealed inconsistent results and reviewers have called for research on why interventions either bring about desired change or fail to do so. Answering the “how” and “why” of intervention outcomes requires a close examination of the elements that hinder or facilitate desired outcomes, thus moving beyond evaluation of only the overall effects. In this paper, we present an evaluation framework based on recent intervention research and process-oriented organization theory. The framework offers suggestions for which elements to include when evaluating organizational interventions. Within the framework, elements crucial to intervention evaluation are grouped into four overarching categories that we argue are crucial to evaluation over the five phases of an intervention programme. These categories are: the organizational “actors”; the mental models of those actors; the context of the intervention; and intervention design and process. Evaluation during the process as well as of the overall effects, as recommended by this framework, should throw light on what works for whom, why, how and under which circumstances.     

Discrepancies between chronological age and personal age as a reflection of unrelieved worker stress

Abstract

The general proposition that stress-related variables will be associated with discrepancies between chronological age and perceived personal age of working adults was examined. Responses from a field survey of day, afternoon, and night fixed-shift workers in a large manufacturing organization (n = 1674) were used to explore the relationships between a variety of reported stress-related variables and personal age constructs. Discrepancies between perceived personal age and chronological age were reported by a large proportion of the workers surveyed. Three categories of stress-related variables each accounted for a significant proportion of the variance in discrepancies. As hypothesized, the reported presence of stressors and the frequency/extent of strains (stress-related outcomes) were positively correlated with feeling older than one's chronological age. In addition, the reported presence of support mechanisms for coping with stressors was negatively correlated with feeling older than one's chronological age. The manner in which work and non-work stress may impinge upon personal age perceptions is discussed, and appropriate avenues for future research in this domain are considered.     

Dining with the Devil

Abstract

The Potential for Organizational Behavior Management Consultation in Education: A Review of Erchul and Martens' “School Consultation” Reviewed by Stacey Small, Mark R. Dixon, James Soldner, Scott Sanders, Kara Hartman, Jonah Martin, Eric Manzano and Kim Zlomke.     

THE TIMING OF LABOR TRANSFERS IN DUAL RESOURCE-CONSTRAINED SYSTEMS: “PUSH” VS. “PULL” RULES*

Altough the dual resource-constrained (DRC) system has been studied, the decision rule used to determine when workers are eligible for transfer largely has been ignored. Some earlier studies examined the impact of this rule [5] [12] [15] but did not include labor-transfer times in their models. Gunther [6] incorporated labour-transfer times into his model, but the model involved only one worker and two machines. No previous study has examined decision rules that initiate labor transfers based on labor needs (“pull” rules). Labor transfers always have been initiated based on lack of need (“push” rules). This study examines three “pull” variations of the “When” labor-assignment decision rule. It compares their performances to the performances of two “push” rules and a comparable machine-limited system. A nonparametric statistical test, Jonckheere's S statistic, is used to test for significance of the rankings of the rules: a robust parametric multiple-comparison statistical test, Tukey's B statistic, is used to test the differences. One “pull” and one “push” decision rule provide similar performances and top the rankings consistently. Decision rules for determining when labor should be transferred from one work area to another are valuable aids for managers. This especially is true for the ever-increasing number of managers operating in organizations that recognize the benefits of a cross-trained work force. Recently there has been much interest in cross-training workers, perhaps because one of the mechanisms used in just-in-time systems to handle unbalanced work loads is to have cross-trained workers who can be shifted as demand dictates [8]. If management is to take full advantage of a cross-trained work force, it need to know when to transfer workers.     

Measuring exposure to bullying at work: The validity and advantages of the latent class cluster approach

Abstract

This paper addresses the construct and predictive validity of two methods for classifying respondents as victims of workplace bullying. Although bullying is conceived as a complex phenomenon, the dominant method used in bullying surveys, the operational classification method, only distinguishes two groups: victims versus non-victims. Hence, the complex nature of workplace bullying may not be accounted for. Therefore a latent class cluster approach is suggested to model the data, which was obtained by using the Negative Acts Questionnaire (NAQ) administered to employees in Belgium (n=6,175). Latent class modelling is a method of analysis that does not appear to have been used in occupational health psychology before. In this study, six latent classes emerged: “not bullied,” “limited work criticism,” “limited negative encounters,” “sometimes bullied,” “work related bullied,” and “victims.” The results show that compared to the traditional operational classification method, the latent class cluster approach shows higher construct and higher predictive validity with respect to self-assessments and indicators of strain and well-being at work. The consequences of these results for theory, future research, and practice are discussed.     

History in Organization and Management Theory: More Than Meets the Eye

Abstract

There has been a growing debate about the role of history in management research with several authors making suggestions on how to bring the two (back) together and others even highlighting the need for a “historic turn”. What we argue in this paper is that, while history was indeed sidelined by the scientization of management since the late 1950s, it started to make a comeback from the 1980s onwards and is increasingly employed in a number of research programs. We stress that the crucial question for management scholars engaging with history (or wanting to do so) is how it relates to theory. First of all, we present a systematic overview of the way history has been used—both at the micro (organizational) and macro-levels of analysis—distinguishing between what we refer to as “history to theory” and “history in theory”. In the former, we consider those research programs, such as (neo-)institutionalism, where history serves as evidence to develop, modify or test theories. In the case of “history in theory” we identify research programs where history or the past are part of the theoretical model itself as a driver or moderator, with “imprinting” as a prime example. Second, we also identify a growing number of studies that go further by displaying what we call “historical cognizance” in the sense of incorporating period effects or historical contingencies into their theorizing efforts. Finally, drawing on our broad overview, we make more specific suggestions for increasing the visibility and influence of history in organization and management theory.     

Level‐k Auctions: Can a Nonequilibrium Model of Strategic Thinking Explain the Winner's Curse and Overbidding in Private‐Value Auctions?

This paper proposes a structural nonequilibrium model of initial responses to incomplete‐information games based on “level‐k” thinking, which describes behavior in many experiments with complete‐information games. We derive the model's implications in first‐ and second‐price auctions with general information structures, compare them to equilibrium and Eyster and Rabin's (2005) “cursed equilibrium,” and evaluate the model's potential to explain nonequilibrium bidding in auction experiments. The level‐k model generalizes many insights from equilibrium auction theory. It allows a unified explanation of the winner's curse in common‐value auctions and overbidding in those independent‐private‐value auctions without the uniform value distributions used in most experiments.     

Estimation of Nonlinear Models with Measurement Error

This paper presents a solution to an important econometric problem, namely the root n consistent estimation of nonlinear models with measurement errors in the explanatory variables, when one repeated observation of each mismeasured regressor is available. While a root n consistent estimator has been derived for polynomial specifications (see Hausman, Ichimura, Newey, and Powell (1991)), such an estimator for general nonlinear specifications has so far not been available. Using the additional information provided by the repeated observation, the suggested estimator separates the measurement error from the “true” value of the regressors thanks to a useful property of the Fourier transform: The Fourier transform converts the integral equations that relate the distribution of the unobserved “true” variables to the observed variables measured with error into algebraic equations. The solution to these equations yields enough information to identify arbitrary moments of the “true,” unobserved variables. The value of these moments can then be used to construct any estimator that can be written in terms of moments, including traditional linear and nonlinear least squares estimators, or general extremum estimators. The proposed estimator is shown to admit a representation in terms of an influence function, thus establishing its root n consistency and asymptotic normality. Monte Carlo evidence and an application to Engel curve estimation illustrate the usefulness of this new approach.     

Robust Predictions for Bilateral Contracting with Externalities

The paper studies bilateral contracting between one principal and N agents when each agent's utility depends on the principal's unobservable contracts with other agents. We show that allowing deviations to menu contracts from which the principal chooses bounds equilibrium outcomes in a wide class of bilateral contracting games without imposing ad hoc restrictions on the agents' beliefs. This bound yields, for example, competitive convergence as N →∞ in environments in which an appropriately‐defined notion of competitive equilibrium exists. We also examine the additional restrictions arising in two common bilateral contracting games: the “offer game” in which the principal makes simultaneous offers to the agents, and the “bidding game” in which the agents make simultaneous offers to the principal.     

Regression Versus Causation,Revisited

I recently discussed pitfalls in attempted causal inference based on reduced‐form regression models. I used as motivation a real‐world example from a paper by Dr. Sneeringer, which interpreted a reduced‐form regression analysis as implying the startling causal conclusion that “doubling of [livestock] production leads to a 7.4% increase in infant mortality.” This conclusion is based on: (A) fitting a reduced‐form regression model to aggregate (e.g., county‐level) data; and (B) (mis)interpreting a regression coefficient in this model as a causal coefficient, without performing any formal statistical tests for potential causation (such as conditional independence, Granger‐Sims, or path analysis tests). Dr. Sneeringer now adds comments that confirm and augment these deficiencies, while advocating methodological errors that, I believe, risk analysts should avoid if they want to reach logically sound, empirically valid, conclusions about cause and effect. She explains that, in addition to (A) and (B) above, she also performed other steps such as (C) manually selecting specific models and variables and (D) assuming (again, without testing) that hand‐picked surrogate variables are valid (e.g., that log‐transformed income is an adequate surrogate for poverty). In her view, these added steps imply that “critiques of A and B are not applicable” to her analysis and that therefore “a causal argument can be made” for “such a strong, robust correlation” as she believes her regression coefficient indicates. However, multiple wrongs do not create a right. Steps (C) and (D) exacerbate the problem of unjustified causal interpretation of regression coefficients, without rendering irrelevant the fact that (A) and (B) do not provide evidence of causality. This reply focuses on whether any statistical techniques can produce the silk purse of a valid causal inference from the sow's ear of a reduced‐form regression analysis of ecological data. We conclude that Dr. Sneeringer's analysis provides no valid indication that air pollution from livestock operations causes any increase in infant mortality rates. More generally, reduced‐form regression modeling of aggregate population data—no matter how it is augmented by fitting multiple models and hand‐selecting variables and transformations—is not adequate for valid causal inference about health effects caused by specific, but unmeasured, exposures.     

Lay and Expert Interpretations of Cancer Cluster Evidence

Conflict frequently occurs between community members and environmental/public health officials when an unusual number of cancer cases is reported. This conflict may result from different ways in which laypeople and experts interpret facts to judge whether there is an environmental cause of the cancer cases, but little is known about this issue. Volunteer laypeople (N= 551) and epidemiologists (N= 105) read a hypothetical scenario about cases of cancer on one neighborhood block. Participants judged whether each of the 23 facts about the situation made it “much more likely” to “much less likely” that something in town was causing the cancer cases (7‐point scale). The facts were designed to be “alarming,”“reassuring,” or “neutral” (i.e., according to epidemiological principles, should increase, decrease, or have no impact on the likelihood of an environmental cause). The laypeople were alarmed by most of the facts (mean response significantly greater than the scale midpoint), including all of the neutral facts and over half of the reassuring facts. The experts were more balanced: they were alarmed by none of the neutral or reassuring facts. Their responses showed significantly less alarm than the laypeople's responses (p < 0.0001 for all comparisons). This study reveals that laypeople are not reassured by information that substantially lowers the chance of an environmental cause for cancer cases. Lay responses differ significantly and systematically from experts who are far less alarmed by relevant facts. These findings may help explain the conflicts between the two groups in situations where concern about cases of cancer arises in a community.     

Putting the “psychic” Back in Psychic Distance: Awareness,Perceptions, and Understanding as Dimensions of Psychic Distance

Unlike the IB literature whose emphasis within the term ‘psychic distance’ has been more on “distance” and less on “psychic,” our starting point is all “psychic” and no “distance,” assuming distance is defined as the difference between two countries. We propose that psychic distance be centered on the firm's managers and explain how their cognitive limitations, perceptions, heuristics, and experiences interact with a foreign environment to influence their decision making. We replace the conventional definition of distance with the cognitive dimensions of managerial awareness, perceptions, and understanding. Awareness captures the manager's consciousness of foreign context elements relevant to the firm's decision, perception is the manager's interpretation of the extent of these relevant environmental elements, and a manager's understanding captures the relationships among these context elements and the firm's decision. We argue that a multidimensional psychic distance construct is necessary as many of distance's problems are due to the illusion it promises of capturing a manager's perception of a complex foreign environment in a single number. Our approach eliminates distance's problems of symmetry and linearity. It also eliminates the constraint that distance is only associated with negative outcomes. After explaining the theoretical value of awareness, perception, and understanding by developing propositions predicting context traps, we present our operationalization of psychic distance.     

Job insecurity,perceived employability and targets' and perpetrators' experiences of workplace bullying

Abstract

We aimed to investigate (1) the association between job insecurity and workplace bullying from the perspective of both targets and perpetrators and (2) perceived employability as a moderator of these relationships. We argue that job insecurity is associated with social or interpersonal strain as in the case of workplace bullying. Furthermore, workers who feel that they have alternative opportunities for employment may find it easier to cope with insecurity. Stated differently, we aimed to investigate whether the relationship between job insecurity and workplace bullying depended on the level of perceived employability. Hypotheses were tested among 693 workers who participated in a survey on the quality of working life. They were employed at establishments of two Belgian organizations from the textile industry (N=189) and financial services (N=505). We found that that job insecurity was associated with targets' and perpetrators' reports of workplace bullying. The interaction between job insecurity and perceived employability did not contribute to targets' reports of workplace bullying. However, it was related to perpetrators' reports of workplace bullying. Interestingly, the relationship between job insecurity and workplace bullying was stronger under the condition of high versus low employability. This hints at the idea that there could be a “dark side” to employability.     

IMES: A System for Identifying and Evaluating Computer Models for Exposure Assessment2

Although IMES is apparently a marriage of independently developed modules, the blend is nearly seamless-there are only minor differences in “feel” between the three modules. IMES is well organized and easy to use. There are help screens at every stage in each module. Selection is efficient-queries rarely take more than a few seconds on a 386 machine before a report can be generated. There are a few pitfalls in model selection which are difficult to avoid. Improper classification is one of them. For example, IMES lists MINTEQ as a multimedia model. It would be more appropriate from this reviewer's perspective to classify MINTEQ as a geo-chemical model (for which this version of IMES has no classification category.)One minor concern is that in two modules (Selection and Validation)IMES queries the operator “Do you really want to exit?” or “Exit?” when one simply wants to go back one level in the screening process. It would be less disconcerting to be consistently presented (as is done in the Uncertainty module)with a pop-up menu selection like “Do you want to return to the previous screen?” IMES was an ambitious undertaking that resulted in a useful and important contribution to Exposure Assessment Model community.     

The Several Meanings of “Positive”

Abstract

Wiegand and Geller propose that the salient role of positive reinforcement in behavior analysis should enable a melding of behavior analysis with developments and concepts that have appeared under the banner of “positive psychology.” However, as is true of many words, the term positive has more than one meaning, and the positive of positive reinforcement is not the same as the positive of “positive psychology.” The latter is parasitic upon the vernacular, as “nice” or “desirable,” whereas the former is analogous to the algebraic “add” as when an action produces the appearance (as contrasted with the removal) of some event. The distinct meanings become clear with recognition that addictive and criminal behavior often are maintained through positive reinforcement, and that negative reinforcement of behavior often is benign and beneficial to the persons involved. In addition, most of the phenomena identified with positive psychology that Wiegand and Geller propose to embrace entail more subtle and complex combinations of behavioral principles than these authors acknowledge. Wiegand and Geller also propose to accommodate vernacular assumptions in ways that separate their approach from its conceptual base; this risks impairing the effectiveness of their work whether or not its marketability would be improved.     

Public Perceptions of the Risks and Benefits of Technology1

This study attempted to verify and extend previous research on people's perceptions of the risks and benefits of technology and their judgments concerning the acceptability of technology safety regulations. The study addressed several limitations of prior work, in that: (1) it was the first “expressed-preference” study to collect data from large, representative samples of Americans; (2) the research design made “person,” rather than “technology,” the unit of statistical analysis; and (3) the study employed an expanded set of independent variables, including three qualitative benefit characteristics. The results confirmed several major conclusions of prior expressed-preference research, the most important being that members of the public tend to define “risks,”“benefits,” and “acceptability” in a complex, multidimensional manner; and that their definitions differ significantly from those used by professional risk-managers and other technical experts in quantitative assessments of risk and acceptability. The results also indicated that people's stances toward technology regulation tend to cut across traditional sociodemographic lines.     

DEFINING THE ROLE AND ESTIMATION OF THE DISCOUNT FACTOR IN A SECURITY VALUATION MODEL

In this paper we show that a striking improvement in the explanatory power of a “dividend type” of security valuation model can be obtained by classifying companies into equivalent risk categories, estimating the discount factor for a category, and then constructing a cross-sectional model for it. The increased homogenity of the data base improves the model's sensitivity to systematic forces, but does not sacrifice the heterogeneity of the independent variables. Assuming that the difference between the intrinsic value of a security and its market value should be zero, the authors demonstrate a method for estimating k_jt, the market discount rate for the j^th risk category in the t^th period. The results of the estimation procedure appear to be reasonable and when used in our security valuation model they produce higher coefficients of determination (R²) than those previously published for similar models.