The NUDIST qualitative data analysis system

Most computer approaches to qualitative data analysis have concentrated on coding and retrieval of text. This paper describes a research project which set out to support a range of methods for the analysis of unstructured data, with emphasis on the building and testing of grounded theory. It resulted in software whose innovations include: a) No limit to the number of coding categories and sub-categories, and no limit to the number of times a given text passage can be coded; b) The use of separate document and indexing databases, interrelated and of unlimited flexibility; c) Comprehensive hypermedia-like browsing tools for both document and indexing databases; d) Ability to search for words and lexical patterns occurring in text and to combine this with indexing of the text; e) Ability to handle off-line textual and non-textual data as well as on-line data; f) Ability to record textual comments in indexing categories — a memoing facility for emerging ideas and categories; g) Support and exploitation of hierarchical indexing systems; h) Mechanisms for creating new indexing categories out of existing ones, relating them to the data documents, and using them for further analyses. New goals of the project are to provide a number of artificial intelligence based information structuring and reasoning facilities which can be used to aid the organization and retrieval of qualitative data, and to extend the present capabilities of the software to express and test new ideas, concepts, generalizations and hypotheses about the data.     

Peer influence groups: identifying dense clusters in large networks

Sociologists have seen a dramatic increase in the size and availability of social network data. This represents a poverty of riches, however, since many of our analysis techniques cannot handle the resulting large (tens to hundreds of thousands of nodes) networks. In this paper, I provide a method for identifying dense regions within large networks based on a peer influence model. Using software familiar to most sociologists, the method reduces the network to a set of m position variables that can then be used in fast cluster analysis programs. The method is tested against simulated networks with a known small-world structure showing that the underlying clusters can be accurately recovered. I then compare the performance of the procedure with other subgroup detection algorithms on the MacRea and Gagnon prison friendship data and a larger adolescent friendship network, showing that the algorithm replicates other procedures for small networks and outperforms them on the larger friendship network.     

Using logic programming to facilitate qualitative data analysis

Conventional word-processing programs and LOGLISP, a system which integrates logic programming with LISP, form the basis for QUALOG, a set of computer programs which facilitates the qualitative data analysis process. These programs aid the researcher's conceptual work in data analysis in four areas: 1) formatting the data as text files; 2) creating, organizing, and storing a knowledge base of information about the data; 3) testing knowledge-base queries relevant to working hypotheses for confirming and for disconfirming information; and 4) creating, organizing, and storing files for the researcher's memoranda.     

Further Thoughts on Female Perversions

Dialogues with colleagues inspired rethinking of the fetishistic strategy that informs Female Perversions, Susan Streitfeld's film interpretation of the text was a crucial inspiration. As the theory of fetishism shifts from metaphors of Eros to metaphors of Death, it resolves into a shifting dynamic relationship between the two. The other major aspect of the author's rethinking concerns the heterosexual bias that infiltrates her text and a corresponding tendency for the text to regress to the dichotomous views of gender and sex that the book set out to amend. One outcome of the rethinking is a recasting of gender/sex, biological essence/social constructionism debates in the more dynamic language commensurate with the complexities of psychoanalytic thinking.     

From Drama Text to Stage Text: Transitions of Text Understanding in a Student Theatre Production

Exploring how text understanding evolves through interaction in a drama-text-based student theatre production, the present study takes its theoretical point of departure in sociocultural and dialogical approaches to meaning making and creativity. Video data from a Swedish upper secondary school allowed us to follow transitions of text understanding in the artistic shaping of characters from drama text to stage text. We analyze a special kind of communicative side project: short, recurrent student-initiated role-plays, embedded in teacher-led activities. The joint text understanding that was established in these side projects proved productive in the emergent shaping of the stage text.     

Towards a design of consumer durables

In the context of developing future technology options, a method is outlined to identify the mixes of attributes that consumers would be prepared to acquire and their relative importance. A way of assessing distance between consumers is proposed in terms of the importances of attributes, to cluster the consumers in terms of these distances, and to determine the attribute mixes that correspond to these clusters. The output is a consumer-oriented set of product options. An application to telecommunication services for a sample of organisations is used to illustrate the real-world relevance of the approach.     

Application of diffusion maps to identify human factors of self-reported anomalies in aviation

A study investigating what factors are present leading to pilots submitting voluntary anomaly reports regarding their flight performance was conducted. Diffusion Maps (DM) were selected as the method of choice for performing dimensionality reduction on text records for this study. Diffusion Maps have seen successful use in other domains such as image classification and pattern recognition. High-dimensionality data in the form of narrative text reports from the NASA Aviation Safety Reporting System (ASRS) were clustered and categorized by way of dimensionality reduction. Supervised analyses were performed to create a baseline document clustering system. Dimensionality reduction techniques identified concepts or keywords within records, and allowed the creation of a framework for an unsupervised document classification system. Results from the unsupervised clustering algorithm performed similarly to the supervised methods outlined in the study. The dimensionality reduction was performed on 100 of the most commonly occurring words within 126,000 text records describing commercial aviation incidents. This study demonstrates that unsupervised machine clustering and organization of incident reports is possible based on unbiased inputs. Findings from this study reinforced traditional views on what factors contribute to civil aviation anomalies, however, new associations between previously unrelated factors and conditions were also found.     

The use of population‐level data to advance interdisciplinary methodology: a cell‐through‐society sampling framework for child development research

The authors argue that population‐level data should be used to advance interdisciplinary research about community effects on early development. These data permit the identification of neighborhoods in which development patterns deviate from predictions based on local socioeconomic status (SES). So‐called ‘off‐diagonal’ places signal where researchers are likely to discover processes that either deflect the risks of low SES or dampen the salutary impact of favorable SES. Since such neighborhoods will be best understood relative to nearby ‘on‐diagonal’ neighborhoods where macro‐economic and/or public policy factors are constant, the authors present a methodology for illuminating these regional clusters. The method is deployed in British Columbia, Canada, where a team has collected developmental observations from two censuses of kindergarten children (n = 82,632). The article discusses how these clusters can be used to coordinate sampling decisions among academics representing the range of disciplines needed to study child development from cell‐through‐society, as is recommended in the literature.     

Capturing Complexity: An Empirical Typology of Nonagentic Sexual Interactions

ABSTRACT

Using cluster analysis and a data set of 227 sexual incidents experienced by college women as unwilled, we articulate and assess the validity of an empirically derived, multivariate typology of “nonagentic sexual interactions.” Five homogeneous clusters, or types, are identified based on four characteristics of the events (physical intrusiveness, force, relationship closeness, and women's alcohol use): (1) Sober Intimate Intrusion; (2) Sober Acquaintance Intrusion; (3) Forced Intrusion; (4) Touch; and (5) Alcohol Impaired Intrusion. Analyses demonstrate the clusters to be significantly associated with contextual and psychological consequence variables, providing validation for the derived typology. Findings indicate that a multidimensional typology of nonagentic sexual interactions shows promise for investigating the implications of these events for women's well-being and sexuality development.     

Internet and mobile phone text messaging intervention for college smokers

OBJECTIVE: The authors developed a smoking cessation program using mobile phone text messaging to provide tailored and stage-specific messages to college smokers. PARTICIPANTS AND METHODS: The authors recruited 31 daily smokers who desired to quit from a college campus and asked them to use an Internet and mobile phone text messaging program to quit smoking. RESULTS: Six weeks after program initiation, 45% reported abstinence with 42% abstinent based on cotinine verification. Continued smokers reported significantly reduced smoking rates and dependence. Overall, participants accepted the text messages. CONCLUSIONS: These results replicate findings from an earlier study and indicate that mobile phone text messaging is a potentially efficacious and easily disseminated method for providing cessation interventions to young adult smokers.     

A Comparison of Infants' Categorization in Paired and Successive Presentation Familiarization Tasks

Three experiments directly compared infants' categorization in variations of the visual familiarization task. In each experiment, 4‐ or 6‐month‐old infants were familiarized with a collection of dogs or cats and then their response to novel dogs and cats was assessed. In Experiment 1, 4‐month‐old infants responded to the exclusive distinction of dogs or cats when tested in a paired‐comparison task. In Experiments 2 and 3, 6‐month‐old infants, but not 4‐month‐old infants, responded to this same distinction in a successive presentation task, even when the amount of familiarization was equated to that of the paired comparison task. Therefore, familiarization with a particular set of stimuli does not induce infants to respond to a single category but rather they respond to different categories depending on features of the task.     

Fitting blockmodels to data

Whether the important conceptual advantages of blockmodelling can be practically utilized depends crucially upon the development of a satisfactory method for fitting blockmodes to data. Existing procedures suffer from several important limitations, principal among which is the lack of consensus on a measure of the goodness of fit of a blockmodel to the data it represents. In this paper I present a measure of goodness of fit, and an algorithm for finding blockmodels with maximal fit to data, that together render blockmodeling mathematically equivalent to regression analysis. To facilitate more detailed analyses, I also present measures of the degree to which individuals and their relations deviate from the overall pattern of the blockmodel of the sharpness with which each cluster is defined, and of the distances between clusters. The algorithm and measures are applied to data concerning international trade in the Western Hemisphere in two different decades.     

Object Function and Categorization in Infancy: Two Mechanisms of Facilitation

Does function facilitate categorization by focusing infants' attention generally on all commonalities among objects or specifically on functionally relevant properties? After familiarization to a novel category, 18‐month‐olds selected another category member from a pair of previously unseen test objects. In Experiments 1 and 2, infants chose globally similar over functionally similar and novel test objects. Functionally similar and novel test objects were chosen equally. These data suggest that function facilitates categorization through a general attention‐enhancing mechanism. However, when functions were more uniquely and transparently tied to object properties in Experiments 3 and 4, infants chose functionally similar over novel test objects. Globally and functionally similar test objects were chosen equally. Therefore, a specific attention‐enhancing mechanism also sometimes supports categorization.     

Internet Gamblers Differ on Social Variables: A Latent Class Analysis

Online gambling has gained popularity in the last decade, leading to an important shift in how consumers engage in gambling and in the factors related to problem gambling and prevention. Indebtedness and loneliness have previously been associated with problem gambling. The current study aimed to characterize online gamblers in relation to indebtedness, loneliness, and several in-game social behaviors. The data set was obtained from 584 Internet gamblers recruited online through gambling websites and forums. Of these gamblers, 372 participants completed all study assessments and were included in the analyses. Questionnaires included those on sociodemographics and social variables (indebtedness, loneliness, in-game social behaviors), as well as the Gambling Motives Questionnaire, Gambling Related Cognitions Scale, Internet Addiction Test, Problem Gambling Severity Index, Short Depression–Happiness Scale, and UPPS-P Impulsive Behavior Scale. Social variables were explored with a latent class model. The clusters obtained were compared for psychological measures and three clusters were found: lonely indebted gamblers (cluster 1: 6.5%), not lonely not indebted gamblers (cluster 2: 75.4%), and not lonely indebted gamblers (cluster 3: 18%). Participants in clusters 1 and 3 (particularly in cluster 1) were at higher risk of problem gambling than were those in cluster 2. The three groups differed on most assessed variables, including the Problem Gambling Severity Index, the Short Depression–Happiness Scale, and the UPPS-P subscales (except the sensation seeking subscore). Results highlight significant between-group differences, suggesting that Internet gamblers are not a homogeneous group. Specific intervention strategies could be implemented for groups at risk.     

Random-Effects Modeling of Categorical Response Data

In many applications observations have some type of clustering, with observations within clusters tending to be correlated. A common instance of this occurs when each subject in the sample undergoes repeated measurement, in which case a cluster consists of the set of observations for the subject. One approach to modeling clustered data introduces cluster-level random effects into the model. The use of random effects in linear models for normal responses is well established. By contrast, random effects have only recently seen much use in models for categorical data. This chapter surveys a variety of potential social science applications of random effects modeling of categorical data. Applications discussed include repeated measurement for binary or ordinal responses, shrinkage to improve multiparameter estimation of a set of proportions or rates, multivariate latent variable modeling, hierarchically structured modeling, and cluster sampling. The models discussed belong to the class of generalized linear mixed models (GLMMs), an extension of ordinary linear models that permits nonnormal response variables and both fixed and random effects in the predictor term. The models are GLMMs for either binomial or Poisson response variables, although we also present extensions to multicategory (nominal or ordinal) responses. We also summarize some of the technical issues of model-fitting that complicate the fitting of GLMMs even with existing software.     

Syntactic Categorization in French‐Learning Infants

Recent work showed that infants recognize and store function words starting from the age of 6–8 months. Using a visual fixation procedure, the present study tested whether French‐learning 14‐month‐olds have the knowledge of syntactic categories of determiners and pronouns, respectively, and whether they can use these function words for categorizing novel words to nouns and verbs. The prosodic characteristics of novel words stimuli for noun versus verb uses were balanced. The only distinguishing cue was the preceding determiners versus subject pronouns, the former being the most common for nouns and the latter the most common for verbs, i.e., Det + Noun, Pron + Verb. We expected that noun categorization may be easier than verb categorization because the co‐occurrence of determiners with nouns is more consistent than that of subject pronouns with verbs in French. The results showed that infants grouped the individual determiners as one common class, and that they appeared to use the determiners to categorize novel words into nouns. However, we found no evidence of verb categorization. Unlike determiners, pronouns were not perceived as a common syntactic class.     

粤东传统制造业专业镇发展研究——以潮州市庵埠镇为例

选取广东省潮州市庵埠镇为典型案例区,通过对现有文献资料的梳理、实地调查,结合GIS的可视化表达方法,分析该镇主导产业——食品业和印刷包装产业的形成和发展历程。在此基础上,剖析目前庵埠专业镇发展中存在的企业规模小、人才吸引力不足、产品档次低和基础设施落后等问题,指出未来发展中既要推进食品、印刷两大传统产业,也要大力发展新兴产业,同时更要重视交通网络的构建和专业市场的建设。     

Internet and Mobile Phone Text Messaging Intervention for College Smokers

Objective: The authors developed a smoking cessation program using mobile phone text messaging to provide tailored and stage-specific messages to college smokers. Participants and Methods: The authors recruited 31 daily smokers who desired to quit from a college campus and asked them to use an Internet and mobile phone text messaging program to quit smoking. Results: Six weeks after program initiation, 45% reported abstinence with 42% abstinent based on cotinine verification. Continued smokers reported significantly reduced smoking rates and dependence. Overall, participants accepted the text messages. Conclusions: These results replicate findings from an earlier study and indicate that mobile phone text messaging is a potentially efficacious and easily disseminated method for providing cessation interventions to young adult smokers.