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Un guide essentiellement pratique qui expose de façon nette et concise les règles généralement suivies dans la présentation d'un travail de recherche de langue française. L'auteur traite des différentes parties du manuscrit, des citations, notes et références ainsi que de la mise en pages.
This reference work is a resource for those needing assistance in locating Texas criminal justice statistics. R. Scott Harnsberger has compiled more than 600 entries describing statistical sources for Texas crime; criminals; law enforcement; courts and sentencing; adult and juvenile corrections; capital punishment and death row; victims of crime; driving/boating under the influence; traffic fatalities; substance abuse and treatment; polls and rankings; and fiscal topics such as appropriations, revenues, expenditures, and federal aid. The sources for these statistics originate primarily, but not exclusively, from federal and State of Texas agencies, boards, bureaus, commissions, and departments. The following types of publications are included: annual, biennial, and biannual reports; reports issued in series; analytic and research reports; statistical compilations; budgets and other fiscal documents; audits, inspections, and investigations; census publications; polls; projections; rankings; surveys; continuously updated online resources; and datasets. Harnsberger has annotated the entries to provide sufficient detail to enable users to decide whether the listed resources merit further investigation. Additional notes contain URLs and information regarding the scope of the published data; title changes; related publications; and the availability of earlier data, previous editions, online tables, and datasets. This book will prove to be a valuable resource for students, faculty, researchers, government officials, and individuals in the law enforcement, correctional, and judicial professions.
When the first edition of The Handbook of Research Synthesis was published in 1994, it quickly became the definitive reference for researchers conducting meta-analyses of existing research in both the social and biological sciences. In this fully revised second edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of the Handbook’s classic chapters, as well as entirely new sections reporting on the most recent, cutting-edge developments in the field. Research synthesis is the practice of systematically distilling and integrating data from a variety of sources in order to draw more reliable conclusions about a given question or topic. The Handbook of Research Synthesis and Meta-Analysis draws upon years of groundbreaking advances that have transformed research synthesis from a narrative craft into an important scientific process in its own right. Cooper, Hedges, and Valentine have assembled leading authorities in the field to guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook of Research Synthesis and Meta-Analysis incorporates state-of-the-art techniques from all quantitative synthesis traditions. Distilling a vast technical literature and many informal sources, the Handbook provides a portfolio of the most effective solutions to the problems of quantitative data integration. Among the statistical issues addressed by the authors are the synthesis of non-independent data sets, fixed and random effects methods, the performance of sensitivity analyses and model assessments, and the problem of missing data. The Handbook of Research Synthesis and Meta-Analysis also provides a rich treatment of the non-statistical aspects of research synthesis. Topics include searching the literature, and developing schemes for gathering information from study reports. Those engaged in research synthesis will also find useful advice on how tables, graphs, and narration can be used to provide the most meaningful communication of the results of research synthesis. In addition, the editors address the potentials and limitations of research synthesis, and its future directions. The past decade has been a period of enormous growth in the field of research synthesis. The second edition Handbook thoroughly revises original chapters to assure that the volume remains the most authoritative source of information for researchers undertaking meta-analysis today. In response to the increasing use of research synthesis in the formation of public policy, the second edition includes a new chapter on both the strengths and limitations of research synthesis in policy debates and decisions. Another new chapter looks at computing effect sizes and standard errors from clustered data, such as schools or clinics. Authors also discuss updated techniques for locating hard-to-find “fugitive” literature, ways of systematically assessing the quality of a study, and progress in statistical methods for detecting and estimating the effects of publication bias. The Handbook of Research Synthesis and Meta-Analysis is an illuminating compilation of practical instruction, theory, and problem solving. This unique volume offers the reader comprehensive instruction in the skills necessary to conduct powerful research syntheses meeting the highest standards of objectivity. The significant developments included in the second edition will ensure that the Handbook remains the premier text on research synthesis for years to come.
The Handbook of Research Synthesis is the definitive reference and how-to manual for behavioral and medical scientists applying the craft of research synthesis. It draws upon twenty years of ground-breaking advances that have transformed the practice of synthesizing research literature from an art into a scientific process in its own right. Editors Harris Cooper and Larry V. Hedges have brought together leading authorities to guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook of Research Synthesis incorporates in a single volume state-of-the-art techniques from all quantitative synthesis traditions, including Bayesian inference and the meta-analytic approaches. Distilling a vast technical literature and many informal sources, the Handbook provides a portfolio of the most effective solutions to problems of quantitative data integration. The Handbook of Research Synthesis also provides a rich treatment of the non-statistical aspects of research synthesis. Topics include searching the literature, managing reference databases and registries, and developing coding schemes. Those engaged in research synthesis will also find useful advice on how tables, graphs, and narration can be deployed to provide the most meaningful communication of the results of research synthesis. The Handbook of Research Synthesis is an illuminating compilation of practical instruction, theory, and problem solving. It provides an accumulation of knowledge about the craft of reviewing a scientific literature that can be found in no other single source. The Handbook offers the reader thorough instruction in the skills necessary to conduct powerful research syntheses meeting the highest standards of objectivity, systematicity, and rigor demanded of scientific enquiry. This definitive work will represent the state of the art in research synthesis for years to come.
The Political and Social Challenges of Census Mobilization
American democracy relies on an accurate census to fairly allocate political representation and billions of dollars in federal funds. Declining participation in previous censuses and a general waning of civic engagement in society raised the possibility that the 2000 count would miss many Americans—disproportionately ethnic and racial minorities—depriving them of their share of influence in American society and yielding an unfair distribution of federal resources. Faced with this possibility, the Census Bureau launched a massive mobilization campaign to encourage Americans to complete and return their census forms. In The Hard Count, former Census Bureau director Kenneth Prewitt, D. Sunshine Hillygus, Norman H. Nie, and Heili Pals present a rigorous evaluation of this campaign. Can a busy, mobile, disengaged public be motivatived to participate in this civic activity? Using a rich set of data and drawing on theories of civic mobilization, political persuasion, and media effects, the authors assess the factors that influenced participation in the 2000 census. The Hard Count profiles a watershed moment in the history of the American census. As the mobilization campaign was underway, political opposition to the census sprang up, citing privacy issues and seeking to limit the kind of data the census could collect. Hillygus, Nie, Prewitt, and Pals analyze the competing effects of the mobilization campaign and the privacy controversy on public attitudes and cooperation with the census. Using an internet based survey, the authors tracked a representative sample of Americans over time to gauge changes in census attitudes, privacy concerns, and their eventual decision whether or not to return their census form. The study uniquely captures the public’s exposure to census advertising, community mobilization, and news stories, and was designed so people could view video clips and photos of actual campaign advertisements on their sets in their homes. The authors find that the Census Bureau campaign did in fact raise awareness of the census and census participation. The mobilization campaign was especially effective at increasing participation among groups historically undercounted by the census. They also find that census participation would have been higher if not for the privacy controversy, which discouraged many people from cooperating with the census and led others to omit information from their census form. The findings of The Hard Count have important policy implications for future census counts and offer theoretical insights regarding the influence of mobilization campaigns on civic participation. The goal of full and equal cooperation with the decennial census and other government surveys is an important national priority. The Hard Count shows that a mobilization campaign can dramatically increase voluntary participation in the decennial headcount and identifies emerging social and political challenges that may threaten future census counts and contribute to the growing fragility of our national statistical system.
Vol. 1 (2005) through current issue
Histories of Anthropology presents diverse perspectives on the discipline’s history within a global context. Critical, comparative, analytical, and narrative studies involving all aspects and subfields of anthropology are included.
Un atout pour les campagnes sociales
Comment être efficace lorsqu'il s'agit de joindre la population pour parler de santé publique ?. C'est dans la perspective de soutenir les campagnes sociales que l'auteure démontre, à partir d'exemples concrets, comment et pourquoi la recherche scientifique devrait faire partie intégrante du processus de création et d'évaluation des campagnes sociales.
Recherche qualitative? - Familles de recherche qualitative - Raison d'être de la recherche qualitative - Choix d'une approche qualitative - Recherche qualitative : préparation et déroulement - Observation sur le terrain - Entrevues semi-structurées - Analyse des données - Rédaction du rapport de recherche - Séminaires et thèses d'inspiration ethnographique.
Evolving Analytic Approaches
Policy analysis has grown increasingly reliant on the random assignment experiment—a research method whereby participants are sorted by chance into either a program group that is subject to a government policy or program, or a control group that is not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any differences between the groups at the end of the study can be attributed solely to the influence of the program or policy. But there are many questions that randomized experiments have not been able to address. What component of a social policy made it successful? Did a given program fail because it was designed poorly or because it suffered from low participation rates? In Learning More from Social Experiments, editor Howard Bloom and a team of innovative social researchers profile advancements in the scientific underpinnings of social policy research that can improve randomized experimental studies. Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random assignment studies can be overcome by combining data from these studies with statistical methods from other research designs. Carolyn Hill, James Riccio, and Bloom profile a new statistical model that allows researchers to pool data from multiple randomized-experiments in order to determine what characteristics of a program made it successful. Lisa Gennetian, Pamela Morris, Johannes Bos, and Bloom discuss how a statistical estimation procedure can be used with experimental data to single out the effects of a program’s intermediate outcomes (e.g., how closely patients in a drug study adhere to the prescribed dosage) on its ultimate outcomes (the health effects of the drug). Sometimes, a social policy has its true effect on communities and not individuals, such as in neighborhood watch programs or public health initiatives. In these cases, researchers must randomly assign treatment to groups or clusters of individuals, but this technique raises different issues than do experiments that randomly assign individuals. Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study. Learning More from Social Experiments represents a substantial leap forward in the analysis of social policies. By supplementing theory with applied research examples, this important new book makes the case for enhancing the scope and relevance of social research by combining randomized experiments with non-experimental statistical methods, and it serves as a useful guide for researchers who wish to do so.