The Impact of Question and Respondent Characteristics on Comprehension and Mapping Difficulties

Behavior coding is one technique researchers use to detect problemsin survey questions, but it has been primarily explored as apractical tool rather than a source of insight into the theoreticalunderstanding of the cognitive processes by which respondentsanswer survey questions. The latter is the focus of the currentinvestigation. Using data from a large study in which face-to-faceinterviews were taped and extensive behavior coding was done,we tested whether sets of respondent behavior codes could beused to distinguish respondent difficulties with comprehensionof the question from difficulties associated with mapping ajudgment onto the response format provided, and whether characteristicsof the survey questions and respondents could be used to predictwhen and for whom such difficulties would occur. Sets of behaviorcodes were identified that reflected comprehension and mappingdifficulties, and these two types of difficulties were associatedwith different question and respondent characteristics. Thisevidence suggests that behavior coding shows promise as a toolfor researchers studying the cognitive processes involved inanswering survey questions.     

Goal Ambiguity and Organizational Performance in U.S. Federal Agencies

In spite of numerous observations that government organizationshave high levels of organizational goal ambiguity that exertmajor influences on their other characteristics, few researchershave measured goal ambiguity and tested these frequent assertions.In previous research, we developed measures of four dimensionsof goal ambiguity: mission comprehension ambiguity, directivegoal ambiguity, evaluative goal ambiguity, and priority goalambiguity. Confirming hypotheses developed from the literatureon public organizations, the latter three variables showed relationsto such organizational characteristics as organizational age,financial publicness (proportion of funding from governmentallocations), and regulatory status. This article reports asecond analytical step of examining the relations between thegoal ambiguity dimensions and indicators of organizational performancebased on responses to the 2000 National Partnership for ReinventingGovernment Survey of federal employees. The performance variablesincluded managerial effectiveness, customer service orientation,productivity, and work quality. Regression analyses with numerouscontrol variables found that directive, evaluative, and prioritygoal ambiguity related negatively to managerial effectiveness.All four performance indicators showed significant negativerelationships with evaluative goal ambiguity and directive goalambiguity. The results provide further evidence of the viabilityof the new measures of goal ambiguity, support theory-basedbut previously untested hypotheses, and further indicate thefeasibility and value of analyzing goal ambiguity of governmentorganizations.     

A (macro) sociology of fear?

A proper sociological approach to fear is of both empirical and theoretical significance in understanding late modern society. Normally fear has been explored psychologically, as one of the emotions, but recently a sociology of emotions has begun to emerge. Furthermore, there have also been attempts to examine fear macro‐scopically, arguing for the existence of a distinctive ‘culture of fear’ in contemporary societies. Furedi's argument to this effect is explored here, suggesting the need for a more systematic theorising of fear in its social contexts. Via an analysis of the elementary characteristics of fear, a model is constructed of the ‘parameters of fear’. This model serves as a guide to the classes of phenomena within which fear is constituted and negotiated. It is also used to further examine the virtues and failings of ‘culture of fear’ approaches to fearfulness in modern societies.     

Regulating Land Development: Local Market Structures and Structured Markets

Current rounds of economic restructuring together with the changing priorities accorded to agricultural production are leading to significant shifts in rural property and tenure relations. This paper analyzes these processes with reference to rural Britain; it reports on empirical evidence collected in the county of Buckinghamshire in southeast England. Two significant types of new rural land development are considered—small-scale industrial units arising out of the conversion of agricultural buildings and golf course developments and their ancillary leisure-based activities. Post-war productionist forms of regulation and particularly established types of agricultural tenure are now being modified by farmers and nonagricultural interests committed to the development of rural land. New demands and market structures are requiring more diversity and flexibility by which land is owned, occupied, and used. These emergent, more flexible macro tenures are based on new sets of social and political alliances between farmers, developers, and local planning systems. Agricultural land is increasingly being viewed as a capital rather than as a productive asset associated with more volatile and regionally defined markets whose regulation is formative.     

Native American drinking: a neglected subject of study and research

Although Native Americans are plagued by high rates of alcoholism, violence, suicide and early death, these social and clinical problems are usually given little more than cursory treatment in textbooks. A content analysis of twenty-six textbooks on alcoholism and substance misuse revealed that only four provided a detailed discussion of Native American drinking. Greater attention needs to be given to the cultural, psychological, and biological issues of drinking and drunkenness among this special population.     

Mapping water quality by local scoring

The mean density of bacteria in a water body is commonly monitored using quantal assay. This paper describes the use of local scoring in estimating the spatial distribution of mean density from quantal assay results at a set of point locations. An application to estimating the mean density of fecal conform bacteria in a coastal pond is presented. Model diagnostics based on a parametric bootstrap are also presented.     

Socially Responsible Roles of Professional Ethics: Inclusivity,Psychotherapy and ‘the Protection of the Public’

The remit of the apparatus of professional ethics in the field of psychotherapy can be appropriately expanded so as to make the profession more socially responsible and thereby contribute to the ‘protection of the public’ that is said to be the main purpose of statutory regulation. Using ideas culled from the sociology of the professions, political theory and ethical discourse, it is proposed that ethical psychotherapy cannot take place if its overall social framework is itself profoundly unethical. Inclusivity and diversity are reframed as ethical professional practices. Questions of wealth, gender, sexuality and ethnicity are not only ‘social’ or ‘political’—they are also part of a morally imaginative expansion of what we mean by professional ethics. Attention is paid to the dangers of self-righteousness and moral tyranny.     

Analytical approximations for iterated bootstrap confidence intervals

Standard algorithms for the construction of iterated bootstrap confidence intervals are computationally very demanding, requiring nested levels of bootstrap resampling. We propose an alternative approach to constructing double bootstrap confidence intervals that involves replacing the inner level of resampling by an analytical approximation. This approximation is based on saddlepoint methods and a tail probability approximation of DiCiccio and Martin (1991). Our technique significantly reduces the computational expense of iterated bootstrap calculations. A formal algorithm for the construction of our approximate iterated bootstrap confidence intervals is presented, and some crucial practical issues arising in its implementation are discussed. Our procedure is illustrated in the case of constructing confidence intervals for ratios of means using both real and simulated data. We repeat an experiment of Schenker (1985) involving the construction of bootstrap confidence intervals for a variance and demonstrate that our technique makes feasible the construction of accurate bootstrap confidence intervals in that context. Finally, we investigate the use of our technique in a more complex setting, that of constructing confidence intervals for a correlation coefficient.