国内外交通影响分析比较研究

总结国内外交通影响评价方法。通过对美国交通影响评价的分析，从分析目的、作用、方法、基础理论四方面提出适合我国交通影响分析一般方法的特点，并对交通影响评价在协调城市交通和土地利用关系的定位进行研究：     

The use of canonical analysis

The first part of this non-technical review of canonical analysis is concerned with the principle, the data requirements, the interpretation, the evaluation and the application in consumer research of canonical analysis. In this context, concepts as canonical correlation, weights, loadings and scores are explained. Their interrelationships are discussed. Then the characteristics of specific forms of canonical analysis: canonical correlation, canonical regression, redundancy analysis and partial canonical analysis are discussed. Their different application properties are emphasized. The last part consists of an application of canonical correlation analysis for brand positioning. Here the relationship with discriminant analysis is illustrated. Furthermore the usage of canonical analysis for optimal scaling purposes is illustrated for the same example.     

Ideal types,stereotypes and classes

Several recent articles seeking to validate the Goldthorpe class schema have implicitly raised some interesting questions about the relation between analytical techniques and theory. The favoured technique of latent class analysis actually brings this variety of class analysis close to the much older tradition of ideal-type analysis. In doing so, it helps to illustrate a much wider problem that arises in any conceptualization in terms of classes. The paper seeks to show how, just as in popular discourse around 'class', stereotypes are used to simplify and summarize a complex set of related characteristics, so similarly ideal types, as used in class analysis, are an over-simplification. As elsewhere in social science, the danger of using them is that they serve to protect a theoretical concept from empirical refutation. An alternative 'research programme' to that of class analysis is presented, based on measures of stratification arrangements that are more closely linked to the reproducing structure of inequalities.     

Constructs and Events in Verbal Behavior

Skinner''s (1957) analysis of verbal behavior has been the subject of much controversy in recent years. While criticism has historically come from outside the field of behavior analysis, there are now well-articulated arguments against Skinner''s analysis of verbal behavior from within the field as well. Recently, advocates of Skinner''s analysis have attempted to respond to the critiques, particularly to those regarding Skinner''s definition of verbal behavior articulated by proponents of relational frame theory. Specifically, it has been suggested that talk about definitions equates to making the essentialist error. This paper provides an overview of these issues in the context of understanding the role of constructs in science more generally. It will be argued that definitions are central to scientific progress, and are not only relevant to a functional analysis, but a central prerequisite to the pursuit of such an analysis.     

Using benefit-cost analysis to assess child abuse prevention and intervention programs.

Benefits and costs are discussed when child abuse prevention and intervention programs are proposed and evaluated, but systemic benefit-cost analysis as developed by economists has not been applied to such programs. This article presents the case for using benefit-cost analysis to structure evaluations of child abuse prevention and intervention programs. It presents the basic concept of benefit-cost analysis, its application in the context of assessing these types of child welfare programs, and limitations on its application to social service programs.     

Computer software and qualitative analysis: Trends,issues and resources

Developments during the 1990s in the use of computer software for qualitative data analysis are surveyed. Salient trends are identified as are wider issues associated with software use. Also listed are some of the resources now available to potential and actual users of computer-assisted qualitative data analysis software (CAQDAS).     

Applications of social area analysis to program planning and evaluation

The development of social area analysis as a research technique is highlighted, and two illustrative applications are presented. The first example applies social area analysis to the study of an urban region's demography and the distribution of social problems found there. The second example illustrates how social area analysis can be integrated within a larger evaluation effort. Suggestions for undertaking social area analyses and related demographic studies are presented.     

Unwanted personal contact and risky situations in ten disney animated feature films

The relationships between child maltreatment and the media have been examined in several recent papers. In the authors' previous work representations of neglect, and physical and emotional (but not sexual) child abuse were found in a content analysis of 45 Disney films released from 1937–2006. (Two additional Disney films, released in 2007, are included in the present analysis.) While conducting the content analysis the authors noted unexpected content in ten films. This paper presents an exploratory analysis of depictions of unwanted personal contact and situations that suggest risk due to unsupervised contact with malevolent or questionable strangers. These depictions are described and analyzed, their potential influences on child audiences are discussed, and implications for new research directions are suggested. Copyright © 2009 John Wiley & Sons, Ltd.     

Why are mediation effects so small?

Identifying mediators in variable chains as part of a causal mediation analysis can shed light on issues of causation, assessment, and intervention. However, coefficients and effect sizes in a causal mediation analysis are nearly always small. This can lead those less familiar with the approach to reject the results of causal mediation analysis. The current paper highlights five factors that contribute to small path coefficients in mediation research: loss of information when measuring relationships across time, controlling for prior levels of a predicted variable, adding control variables to the analysis, ignoring measurement error in one’s variables, and using multiple mediators. It is argued that these issues are best handled by increasing the statistical power of the analysis, identifying the optimal temporal interval between variables, using bootstrapped confidence intervals to analyze the results, and finding alternate ways of assessing the meaningfulness of the indirect effect.     

Mobility closure in the upper class: assessing time and forms of capital

Most understandings of the ways classes become social groupings centre on processes of mobility closure whereby mutual appreciation and recognition within classes arise from homogenous experiences over time. The mapping of such structured biographies, however, remains understudied. This paper explores intra‐ and intergenerational mobility patterns in the upper strata of the Norwegian class structure and aims to include temporal processes and multiple forms of capital in the quantification of class trajectories. By combining multiple correspondence analysis and social sequence analysis, two important but often neglected aspects of recruitment to the upper class are emphasized: first, by introducing multiple forms of capital, different ways of maintaining mobility closure are demonstrated; second, different pathways to power are highlighted by distinguishing between divergent class careers. A key aim of the analysis is to explore internal divisions within the upper class in forms of parental capital (an ‘origin space’) and link these divisions to a typology of ‘destination careers’ in adulthood. The analysis suggests that individuals from modest origins are more likely to have careers that feature a biographically late arrival and/or short‐term affiliations to upper‐class positions whereas individuals from families rich in capital are more likely to have stable careers in the upper‐class fractions from which they originate. The analysis thus reveals important divisions in the trajectories of Norwegians who reach the upper class; not only are there differences in their upbringing in terms of the availability of different amounts and types of capital but such divisions also seem linked to their own class careers later in adulthood.     

Concept maps as network data: Analysis of a concept map using the methods of social network analysis

Concept mapping is a method that creates a visual representation that illustrates the thoughts, ideas, or planned actions that arise from a group of stakeholders on a particular issue. Social network analysis is a method that likewise creates a visual representation of data; a network map typically represents people and the connections, or lack thereof, between these people regarding a particular issue. While the goals of these two methods differ, the underlying data structures are similar; a network of relationships between data elements. Social network analysis is explored here as a supplement to concept mapping. A secondary analysis of a concept map to define to leadership needs was conducted using social network analysis. The methods and the implications for supplementing the analysis of concept maps and debriefing results with stakeholders are discussed.     

Income Allocation in Marital and Cohabiting Unions: The Case of Mainland Puerto Ricans

The rise of cohabitation and the growing share of births to cohabiting couples have led to speculation that the boundary between marriage and cohabitation is blurring. We examine this issue with an analysis of the financial arrangements of fathers of mainland Puerto Rican children. The analysis shows that married fathers are more likely than cohabiting fathers to pool their income, but this difference does not result from socioeconomic and demographic factors that foster uncertainty. The analysis also demonstrates that income allocation methods are generally stable over time after differences in union dissolution by allocation method are considered. The discussion emphasizes the need for research on the ways that financial ties reflect and reinforce the bonds between partners.     

Centering or not centering in multilevel models? The role of the group mean and the assessment of group effects

In multilevel regression, centering the model variables produces effects that are different and sometimes unexpected compared with those in traditional regression analysis. In this article, the main contributions in terms of meaning, assumptions, and effects underlying a multilevel centering solution are reviewed, emphasizing advantages and critiques of this approach. In addition, in the spirit of Manski, contextual and correlated effects in a multilevel framework are defined to detect group effects. It is shown that the decision of centering in a multilevel analysis depends on the way the variables are centered, on whether the model has been specified with or without cross-level terms and group means, and on the purposes of the specific analysis.     

Discursive Methodologies for Couple and Family Therapy Research: Editorial to Special Section

In this article, we aim to introduce the special JMFT section on discursive research methodologies for couple and family therapy research. These are qualitative research methodologies which resonate with the systemic emphasis on the semantics and the pragmatics of therapy discourse. First, we provide a brief overview of such methodologies and their use in the family therapy field. We then introduce the context and the content of the special section, where four approaches, including conversation analysis, discursive psychology type of discourse analysis, poststructurally informed discourse analysis (subject positioning analysis), and semantic analysis, are introduced by means of analyzed extracts from a Tom Andersen consultation session with a couple in distress and their therapist. We conclude with implications for the field. For Tom and Michael     

OUTLIERS, LEVERAGE OBSERVATIONS, AND INFLUENTIAL CASES IN FACTOR ANALYSIS: USING ROBUST PROCEDURES TO MINIMIZE THEIR EFFECT

Parallel to the development in regression diagnosis, this paper defines good and bad leverage observations in factor analysis. Outliers are observations that deviate from the factor model, not from the center of the data cloud. The effects of each kind of outlying observations on the normal distribution-based maximum likelihood estimator and the associated likelihood ratio statistic are studied through analysis. The distinction between outliers and leverage observations also clarifies the roles of three robust procedures based on different Mahalanobis distances. All the robust procedures are designed to minimize the effect of certain outlying observations. Only the robust procedure with a residual-based distance properly controls the effect of outliers. Empirical results illustrate the strength or weakness of each procedure and support those obtained in analysis. The relevance of the results to general structural equation models is discussed and formulas are provided.     

Addition and Subtraction

ABSTRACT

This paper introduces the use of cost-benefit analysis as a teaching tool for addressing diversity content within social policy courses and advocacy work. Two case examples, the Rockefeller drug laws and the Permanent Partners Immigration Act, are provided to illustrate the methodology. Teaching strategies that utilize cost-benefit analysis to develop student understanding of current policies affecting diverse populations and its usefulness as an advocacy strategy are introduced. In addition, the potential for cost-benefit analysis to foster greater understanding of whose voices seem to be heard in social policy development and whose appear to be silent is discussed.     

Triangulation as a research strategy for identifying invisible colleges among biomedical scientists

A triangulation strategy, employing a number of network analysis techniques, was implemented in the study of a single social network of biomedical scientists specializing in lipid metabolism research. Here we present the results of co-word analysis of grants awarded to these scientist by the National Institutes of Health, network analysis (NEGOPY) and factor analysis of the scientists' responses on a sociometric roster instrument, preliminary results of a co-citation analysis of their publications, and qualitative analysis of their responses to interviews and questionnaires. The findings are discussed in light of the relative information that the various techniques contribute to the understanding of the social relationships among the members of this scientific speciality.     

The Politics of Representation: Wire Agencies and Local News Organizations in the Coverage of Darfur

Sociologists are not at the forefront of studying African news organizations’ coverage of atrocity despite having the tools to do so. This article works to remedy that. I investigate how a media field in Africa frames and represents an atrocity unfolding in Darfur. The article relies on content analysis of news reports published in Kenya between 2003 and 2008. To provide more nuanced analysis, I also rely my own interviews with journalists who had covered and traveled to Darfur. The content analysis delineates the article through the use of by‐line accreditation to allow for an analysis between different journalists working for either local news organizations or wire agencies with offices in Nairobi. I find that Kenyan journalists are not central actors in the process of “meaning making” when it comes to the atrocities in Darfur for the Kenyan audience. They are, effectively, silenced from the knowledge‐construction process in Kenya. Consequently, being Kenyan conspires to produce a condition of invisibility and erasure of Kenyan journalists in the global narrative construction.