Institution
University of Nebraska–Lincoln
Education•Lincoln, Nebraska, United States•
About: University of Nebraska–Lincoln is a(n) education organization based out in Lincoln, Nebraska, United States. It is known for research contribution in the topic(s): Population & Poison control. The organization has 28059 authors who have published 61544 publication(s) receiving 2139104 citation(s). The organization is also known as: Nebraska & UNL.
Topics: Population, Poison control, Large Hadron Collider, Gene, Laser
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18 Aug 2006TL;DR: This book discusses writing and Evaluating Mixed Methods Research, and the importance of knowing the structure of the writing so that it Relates to the Designs Evaluating a Mixed Methods Study Within Designs.
Abstract: List of Tables List of Figures Preface Purpose of This Book Audience for the Book Book Features Acknowledgments Chapter 1: Understanding Mixed Methods Research Purpose and Organization Clarifying Terms What Is Mixed Methods Research? The Importance of Mixed Methods Research Summary Activities Additional Resources to Examine Chapter 2: Examining Preliminary Considerations Consider Worldview Stances The Basics of Quantitative and Qualitative Research Research Problems Addressed by Mixed Methods Summary Activities Additional Resources to Examine Chapter 3: Locating and Reviewing Mixed Methods Studies Searching for and Reviewing Mixed Methods Studies A Mixed Methods Notation System and Visual Diagrams Four Examples of Mixed Methods Studies Summary Activities Additional Resources to Examine Chapter 4: Choosing a Mixed Methods Design Classifications of Mixed Methods Designs The Four Major Types of Mixed Methods Designs Selecting a Type of Mixed Methods Design Implementing the Design Decisions Writing a Paragraph to Identify a Study's Design Summary Activities Additional Resources to Examine Chapter 5: Introducing a Mixed Methods Study Writing a Mixed Methods Title Stating the Problem in the Introduction The Purpose Statement Research Questions and Hypotheses Summary Activities Additional Resources to Examine Chapter 6: Collecting Data in Mixed Methods Research Procedures in Qualitative and Quantitative Data Collection Data Collection in Mixed Methods Design Summary Activities Additional Resources to Examine Chapter 7: Analyzing Data in Mixed Methods Research Procedures in Quantitative and Qualitative Data Analysis Data Analysis With Mixed Methods Designs Summary Activities Additional Resources to Examine Chapter 8: Writing and Evaluating Mixed Methods Research General Guidelines for Writing Organize the Structure of the Writing So That It Relates to the Designs Evaluating a Mixed Methods Study Within Designs Summary Activities Additional Resources to Examine Chapter 9: Questions Often Raised About Mixed Methods Research Anticipate Mixed Methods Questions What Is Mixed Methods Research? Is Mixed Methods Research Accepted? Is Mixed Methods Research Realistic? Summary Activities Additional Resources to Examine Chapter 10: Future Directions for Mixed Methods Research Needed Developments in Mixed Methods Research Summary Activities Additional Resources to Examine Appendix A. A Triangulation Design Appendix B. An Embedded Design Appendix C. An Explanatory Design Appendix D. An Exploratory Design References Index About the Authors
21,164 citations
03 Feb 1983
11,091 citations
14 Feb 1996
8,397 citations
TL;DR: In this paper, results from searches for the standard model Higgs boson in proton-proton collisions at 7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.8 standard deviations.
Abstract: Results are presented from searches for the standard model Higgs boson in proton-proton collisions at sqrt(s)=7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.1 inverse femtobarns at 7 TeV and 5.3 inverse femtobarns at 8 TeV. The search is performed in five decay modes: gamma gamma, ZZ, WW, tau tau, and b b-bar. An excess of events is observed above the expected background, a local significance of 5.0 standard deviations, at a mass near 125 GeV, signalling the production of a new particle. The expected significance for a standard model Higgs boson of that mass is 5.8 standard deviations. The excess is most significant in the two decay modes with the best mass resolution, gamma gamma and ZZ; a fit to these signals gives a mass of 125.3 +/- 0.4 (stat.) +/- 0.5 (syst.) GeV. The decay to two photons indicates that the new particle is a boson with spin different from one.
8,357 citations
TL;DR: The recent proliferation of research on collective action frames and framing processes in relation to social movements indicates that framing processes have come to be regarded, alongside resource mobilization and political opportunity processes, as a central dynamic in understanding the character and course of social movements.
Abstract: ■ Abstract The recent proliferation of scholarship on collective action frames and framing processes in relation to social movements indicates that framing processes have come to be regarded, alongside resource mobilization and political opportunity processes, as a central dynamic in understanding the character and course of social movements. This review examines the analytic utility of the framing literature for un- derstanding social movement dynamics. We first review how collective action frames have been conceptualized, including their characteristic and variable features. We then examine the literature related to framing dynamics and processes. Next we review the literature regarding various contextual factors that constrain and facilitate framing processes. We conclude with an elaboration of the consequences of framing processes for other movement processes and outcomes. We seek throughout to provide clarifi- cation of the linkages between framing concepts/processes and other conceptual and theoretical formulations relevant to social movements, such as schemas and ideology.
7,041 citations
Authors
Showing all 28059 results
Name | H-index | Papers | Citations |
---|---|---|---|
Donald P. Schneider | 242 | 1622 | 263641 |
Suvadeep Bose | 154 | 960 | 129071 |
David D'Enterria | 150 | 1592 | 116210 |
Aaron Dominguez | 147 | 1968 | 113224 |
Gregory R Snow | 147 | 1704 | 115677 |
J. S. Keller | 144 | 981 | 98249 |
Andrew Askew | 140 | 1496 | 99635 |
Mitchell Wayne | 139 | 1810 | 108776 |
Kenneth Bloom | 138 | 1958 | 110129 |
P. de Barbaro | 137 | 1657 | 102360 |
Randy Ruchti | 137 | 1832 | 107846 |
Ia Iashvili | 135 | 1676 | 99461 |
Yuichi Kubota | 133 | 1695 | 98570 |
Ilya Kravchenko | 132 | 1366 | 93639 |
Andrea Perrotta | 131 | 1380 | 85669 |