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Introduction Getting Started Theoretical Sensitivity The Uses of Literature Open Coding Techniques for Enhancing Theoretical Sensitivity Axial Coding Selective Coding Process The Conditional Matrix Theoretical Sampling Memos and Diagrams Writing Theses and Monographs, and Giving Talks about Your Research Criteria for Judging a Grounded Theory Study

The teaching of qualitative analysis in the social sciences is rarely undertaken in a structured way. This handbook is designed to remedy that and to present students and researchers with a systematic method for interpreting qualitative data', whether derived from interviews, field notes, or documentary materials. The special emphasis of the book is on how to develop theory through qualitative analysis. The reader is provided with the tools for doing qualitative analysis, such as codes, memos, memo sequences, theoretical sampling and comparative analysis, and diagrams, all of which are abundantly illustrated by actual examples drawn from the author's own varied qualitative research and research consultations, as well as from his research seminars. Many of the procedural discussions are concluded with rules of thumb that can usefully guide the researchers' analytic operations. The difficulties that beginners encounter when doing qualitative analysis and the kinds of persistent questions they raise are also discussed, as is the problem of how to integrate analyses. In addition, there is a chapter on the teaching of qualitative analysis and the giving of useful advice during research consultations, and there is a discussion of the preparation of material for publication. The book has been written not only for sociologists but for all researchers in the social sciences and in such fields as education, public health, nursing, and administration who employ qualitative methods in their work.

This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution. The effect of violating assumptions of asymptotic robustness theory also was ex-amined. Standardized root-mean-square residual (SRMR) was the most sensitive index to models with misspecified factor covariance(s), and Tucker-Lewis Index (1973; TLI), Bollen's fit index (1989; BL89), relative noncentrality index (RNI), comparative fit index (CFI), and the ML- and GLS-based gamma hat, McDonald's centrality index (1989; Me), and root-mean-square error of approximation (RMSEA) were the most sensitive indices to models with misspecified factor loadings. With ML and GLS methods, we recommend the use of SRMR, supple-mented by TLI, BL89, RNI, CFI, gamma hat, Me, or RMSEA (TLI, Me, and RMSEA are less preferable at small sample sizes). With the ADF method, we recommend the use of SRMR, supplemented by TLI, BL89, RNI, or CFI. Finally, most of the ML-based fit indices outperformed those obtained from GLS and ADF

The Psychophysics Toolbox is a software package that supports visual psychophysics. Its routines provide an interface between a high-level interpreted language (MATLAB on the Macintosh) and the video display hardware. A set of example programs is included with the Toolbox distribution.

Edwin Hutchins combines his background as an anthropologist and an open ocean racing sailor and navigator in this account of how anthropological methods can be combined with cognitive theory to produce a new reading of cognitive science. His theoretical insights are grounded in an extended analysis of ship navigation—its computational basis, its historical roots, its social organization, and the details of its implementation in actual practice aboard large ships. The result is an unusual interdisciplinary approach to cognition in culturally constituted activities outside the laboratory—"in the wild." Hutchins examines a set of phenomena that have fallen in the cracks between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition. The standard view is that culture affects the cognition of individuals. Hutchins argues instead that cultural activity systems have cognitive properties of their own that are different from the cognitive properties of the individuals who participate in them. Each action for bringing a large naval vessel into port, for example, is informed by culture: the navigation team can be seen as a cognitive and computational system. Introducing Navy life and work on the bridge, Hutchins makes a clear distinction between the cognitive properties of an individual and the cognitive properties of a system. In striking contrast to the usual laboratory tasks of research in cognitive science, he applies the principal metaphor of cognitive science—cognition as computation (adopting David Marr's paradigm)—to the navigation task. After comparing modern Western navigation with the method practiced in Micronesia, Hutchins explores the computational and cognitive properties of systems that are larger than an individual. He then turns to an analysis of learning or change in the organization of cognitive systems at several scales. Hutchins's conclusion illustrates the costs of ignoring the cultural nature of cognition, pointing to the ways in which contemporary cognitive science can be transformed by new meanings and interpretations. Bradford Books imprint

Abstract We examine the controversial practice of using parcels of items as manifest variables in structural equation modeling (SEM) procedures. After detailing arguments pro and con, we conclude that the unconsidered use of parcels is never warranted, while, at the same time, the considered use of parcels cannot be dismissed out of hand. In large part, the decision to parcel or not depends on one's philosophical stance regarding scientific inquiry (e.g., empiricist vs. pragmatist) and the substantive goal of a study (e.g., to understand the structure of a set of items or to examine the nature of a set of constructs). Prior to creating parcels, however, we recommend strongly that investigators acquire a thorough understanding of the nature and dimensionality of the items to be parceled. With this knowledge in hand, various techniques for creating parcels can be utilized to minimize potential pitfalls and to optimize the measurement structure of constructs in SEM procedures. A number of parceling techniques are described, noting their strengths and weaknesses.

Abstract : A study is reported of the variations in organizational commitment and job satisfaction, as related to subsequent turnover in a sample of recently-employed psychiatric technician trainees. A longitudinal study was made across a 10 1/2 month period, with attitude measures collected at four points in time. For this sample, job satisfaction measures appeared better able to differentiate future stayers from leavers in the earliest phase of the study. With the passage of time, organizational commitment measures proved to be a better predictor of turnover, and job satisfaction failed to predict turnover. The findings are discussed in the light of other related studies, and possible explanations are examined. (Modified author abstract)

Even a casual reading of the extensive literature on student development in higher education can create confusion and perplexity. One finds not only that the problems being studied are highly diverse but also that investigators who claim to be studying the same problem frequently do not look at the same variables or employ the same methodologies. And even when they are investigating the same variables, different investigators may use completely different terms to describe and discuss these variables. My own interest in articulating a theory of student development is partly practical—I would like to bring some order into the chaos of the literature—and partly self-protective. I and increasingly bewildered by the muddle of f indings that have emerged from my own research in student development, research that I have been engaged in for more than 20 years. The theory of student involvement that I describe in this article appeals to me for several reasons. First, it is simple: I have not needed to draw a maze consisting of dozens of boxes interconnected by two-headed arrows to explain the basic elements of the theory to others. Second, the theory can explain most of the empirical knowledge about environmental influences on student development that researchers have gained over the years. Third, it is capable of embracing principles from such widely divergent sources as psychoanalysis and classical learning theory. Finally, this theory of student involvement can be used both by researchers to guide their investigation of student development—and by college administrators and

Monte Carlo computer simulations were used to investigate the performance of three X 2 test statistics in confirmatory factor analysis (CFA). Normal theory maximum likelihood)~2 (ML), Browne's asymptotic distribution free X 2 (ADF), and the Satorra-Bentler rescaled X 2 (SB) were examined under varying conditions of sample size, model specification, and multivariate distribution. For properly specified models, ML and SB showed no evidence of bias under normal distributions across all sample sizes, whereas ADF was biased at all but the largest sample sizes. ML was increasingly overestimated with increasing nonnormality, but both SB (at all sample sizes) and ADF (only at large sample sizes) showed no evidence of bias. For misspecified models, ML was again inflated with increasing nonnormality, but both SB and ADF were underestimated with increasing nonnormality. It appears that the power of the SB and ADF test statistics to detect a model misspecification is attenuated given nonnormally distributed data. Confirmatory factor analysis (CFA) has become an increasingly popular method of investigating the structure of data sets in psychology. In contrast to traditional exploratory factor analysis that does not place strong a priori restrictions on the structure of the model being tested, CFA requires the investigator to specify both the number of factors

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(1992). Design Experiments: Theoretical and Methodological Challenges in Creating Complex Interventions in Classroom Settings. Journal of the Learning Sciences: Vol. 2, No. 2, pp. 141-178.

El estudio se propuso determinar si la motivación al logro y el autoconcepto social permitían identificar conglomerados en estudiantes de bachillerato intelectualmente sobresalientes. Se realizó un diseño clasificatorio con una metodología cuantitativa para lo cual, mediante un muestreo aleatorio simple, se seleccionaron 133 estudiantes sobresalientes. Se identificaron dos conglomerados de estudiantes: el primero se denominó 'Altamente orientado al logro', y el segundo como 'Poco orientado al logro', respectivamente. Los estudiantes del primer conglomerado se caracterizaron por una mayor motivación al logro académico, menor autoconcepto social y mejor promedio académico. Se concluyó que en los aspectos motivacionales y emocionales los estudiantes sobresalientes presentan diferencias importantes, lo que sugiere tener cuidado con las generalizaciones realizadas sin sustento empírico. Asimismo, evidenció la importancia de la identificación de las diferencias individuales como parte de las estrategias de orientación y tutoría a estos alumnos.

A disturbingly cautionary tale, Is Anyone Responsible? anchors with powerful evidence suspicions about the way in which television has impoverished political discourse in the United States and at the same time molds political consciousness. It is essential reading for media critics, psychologists, political analysts, and all the citizens who want to be sure that their political opinions are their own. Not only does it provide convincing evidence for particular effects of media fragmentation, but it also explores some of the specific mechanisms by which television works its damage. . . . Here is powerful additional evidence for those of us who like to flay television for its contributions to the trivialization of public discourse and the erosion of democratic accountability. William A. Gamson, Contemporary Sociology book has substantial merit. . . . [His] experimental methods offer a precision of measurement that media effects research seldom attains. I believe, moreover, that Iyengar's notion of framing effects is one of the truly important theoretical concepts to appear in recent years. Thomas E. Patterson, American Political Science Review

Abstract Disciplines such as astronomy, chemistry, physics, geology, and biology have developed a robust combination of logical coherence, causal description, explanatory power, and testability, and have become examples of how reliable and deeply satisfying human knowledge can become. Their extraordinary florescence throughout this century has resulted in far more than just individual progress within each field. These disciplines are becoming integrated into an increasingly seamless system of interconnected knowledge and remain nominally separated more out of educational convenience and institutional inertia than because of any genuine ruptures in the underlying unity of the achieved knowledge. In fact, this development is only an acceleration of the process of conceptual unification that has been building in science since the Renaissance. For example, Galileo and Newton broke down the then rigid (and now forgotten) division between the celestial and the terrestrial-two domains that formerly had been considered metaphysically separate-showing that the same processes and principles applied to both. Lyell broke down the distinction between the static present and the formative past, between the creative processes operating in the present and the geological processes that had operated across deep time to sculpt the earth. Maxwell uncovered the elegant principles that unified the many disparate electrical and magnetic phenomena into a single system.

The effect of a grateful outlook on psychological and physical well-being was examined. In Studies 1 and 2, participants were randomly assigned to 1 of 3 experimental conditions (hassles, gratitude listing, and either neutral life events or social comparison); they then kept weekly (Study 1) or daily (Study 2) records of their moods, coping behaviors, health behaviors, physical symptoms, and overall life appraisals. In a 3rd study, persons with neuromuscular disease were randomly assigned to either the gratitude condition or to a control condition. The gratitude-outlook groups exhibited heightened well-being across several, though not all, of the outcome measures across the 3 studies, relative to the comparison groups. The effect on positive affect appeared to be the most robust finding. Results suggest that a conscious focus on blessings may have emotional and interpersonal benefits.

Four studies examined the construct validity of two global self-esteem measures. In Studies 1 through 3, the Single-Item Self-Esteem Scale (SISE) and the Rosenberg Self-Esteem Scale (RSE) showed strong convergent validity for men and women, for different ethnic groups, and for both college students and community members. The SISE and the RSE had nearly identical correlations with a wide range of criterion measures, including domain-specific self-evaluations, self-evaluative biases, social desirability, personality, psychological and physical health, peer ratings of group behavior, academic outcomes, and demographic variables. Study 4 showed that the SISE had only moderate convergent validity in a sample of children. Overall, the findings support the reliability and validity of the SISE and suggest it can provide a practical alternative to the RSE in adult samples. More generally, the findings contribute to the research literature by further elaborating the nomological network of global self-esteem.

Risky families are characterized by conflict and aggression and by relationships that are cold, unsupportive, and neglectful. These family characteristics create vulnerabilities and/or interact with genetically based vulnerabilities in offspring that produce disruptions in psychosocial functioning (specifically emotion processing and social competence), disruptions in stress-responsive biological regulatory systems, including sympathetic-adrenomedullary and hypothalamic-pituitary-adrenocortical functioning, and poor health behaviors, especially substance abuse. This integrated biobehavioral profile leads to consequent accumulating risk for mental health disorders, major chronic diseases, and early mortality. We conclude that childhood family environments represent vital links for understanding mental and physical health across the life span.

Although much has been learned from cross-sectional research on marriage, an understanding of how marriages develop, succeed, and fail is best achieved with longitudinal data. In view of growing interest in longitudinal research on marriage, the authors reviewed and evaluated the literature on how the quality and stability of marriages change over time. First, prevailing theoretical perspectives are examined for their ability to explain change in marital quality and stability. Second, the methods and findings of 115 longitudinal studies--representing over 45,000 marriages--are summarized and evaluated, yielding specific suggestions for improving this research, Finally, a model is outlined that integrates the strengths of previous theories of marriage, accounts for established findings, and indicates new directions for research on how marriages change.

From insects to humans, Charles Gallistel explores the sophisticated computations performed in these ubiquitous but neglected domains of animal learning. How do animals represent space, time, number and rate? From insects to humans, Charles Gallistel explores the sophisticated computations performed in these ubiquitous yet neglected domains of animal learning. He proposes new and imaginative hypotheses about brain and mental processes and provides original insights about animal behavior using a computational-representational framework that is an exciting alternative to traditional associative theories of learning. Gallistel argues compellingly that experimental psychologists should begin to view the phenomena of learning within a framework that utilizes as the proper unit of analysis the computation and storage of a quantity, rather than the formation of an association that has been the basis of traditional learning theory. His approach reveals the formal structure of the environmental relationships that animals master to time and orient their behavior. It clarifies what representations different animals can and cannot compute and the nature of the computations by which animals derive these representations.The author backs up this thesis with studies that encompass a vast range of animal learning: animal navigation (the use of dead reckoning and cognitive maps); the mechanisms of timekeeping in the nervous system; the registration and utilization of time of occurrence (circadian phase) in learned behavior; the learning and use of temporal intervals and of numerosity; the computation of rates of occurrence; modern findings and theories of classical conditioning. Gallistel surveys the experimental literature in zoology, biology, neuroscience, and psychology that bears on those aspects of their environment that animals represent and the computations they perform in constructing and utilizing those representations. He reveals the fundamental role these representations play in learning and memory, and the implications of these findings in the search for the cellular basis of memory. The Organization of Learning is included in the series Learning, Development, and Conceptual Change, edited by Lila Gleitman, Susan Carey, Elissa Newport, and Elizabeth Spelke. A Bradford Book

Abstract The human mind is the most complex natural phenomenon humans have yet encountered, and Darwin ’s gift to those who wish to understand it is a knowledge of the process that created it and gave it its distinctive organization: evolution. Because we know that the human mind is the product of the evolutionary process, we know something vitally illuminating: that, aside from those properties acquired by chance, the mind consists of a set of adaptations, designed to solve the long-standing adaptive problems humans encountered as hunter-gatherers. Such a view is uncontroversial to most behavioral scientists when applied to topics such as vision or balance. Yet adaptationist approaches to human psychology are considered radical-or even transparently false-when applied to most other areas of human thought and action, especially social behavior. Nevertheless, the logic of the adaptationist postion is completely general, and a dispassionate evaluation of its implications leads to the expectation that humans should have evolved a constellation of cognitive adaptations to social life. Our ancestors have been members of social groups and engaging in social interactions for millions and probably tens of millions of years. To behave adaptively, they not only needed to construct a spatial map of the objects disclosed to them by their retinas, but a social map of the persons, relationships, motives, interactions, emotions, and intentions that made up their social world.