A CAUSAL COMPARATIVE STUDY ON THE EFFECT OF PROFICIENCY-BASED EDUCATION ON SCHOOL CLIMATE by Kay B. York A Dissertation Presented in Partial Fulfillment Of the Requirements for the Degree Doctor of Education Liberty University, Lynchburg, VA APPROVED BY: Michelle J. Barthlow, Ed.D., Committee Chair Vance Pickard, Ed.D., Committee Member A COMPARATIVE STUDY OF COGNITIVE AND NON -COGNITIVE FACTORS RELATIONSHIP TO ACADEMIC SUCCESS FOR FOREIGN MASTER’S STUDENTS By Lisa A. Stephenson Dissertation submitted to the Faculty of the Graduate School of the University of Maryland, College Park, in partial fulfillment of the requirements for the degree of Doctor of Philosophy Harvard’s Department of Comparative Literature is one of the most dynamic and diverse in the country. With a faculty that has included such scholars as Irving Babbitt, Albert Lord, Harry Levin, Claudio Guillén, and Barbara Johnson, the department has played a crucial
What is a comparative case study design
The Comparative Study of Electoral Systems CSES is a collaborative research project among national election studies around the world. Participating countries and polities include a common module of survey questions in their national post-election studies.
The resulting data are collated together along with voting, demographic, district and macro variables into one dataset allowing comparative analysis of voting behavior from a multilevel perspective. The CSES is published as a free, public dataset. The project is administered by the CSES Secretariat, a joint effort between the Institute for Social Research at the University of Michigan and the GESIS - Leibniz Institute for the Social Sciences in Germany.
The CSES project was founded in with two major aims. The first was to promote international collaboration between national election studies. The second was to allow researchers to study variations in political institutions, especially electoral systems, dissertation comparative study their effects on individual attitudes and behaviors, especially turnout and vote choice. CSES datasets contain variables at three levels, dissertation comparative study.
The first is micro-level variables which are answered by respondents during post-election surveys in each included country. The second is district-level variables that contain election results from the electoral districts that survey respondents are situated in.
The third is macro-level variables containing information about the country context and electoral system, as well as aggregate data such as economic indicators and democracy indices. Dissertation comparative study nested data structure, as depicted in Figure 1, allows for multilevel analysis. A new thematic module is devised by the CSES Planning Committee every five years. Between the dissertation comparative study releases of the complete modules, CSES also disseminates advance releases of datasets periodically, which include partial data for modules that have not been fully released yet.
Survey data collection for module 1 was conducted between and and focuses on system performance. Module 1 includes 39 election studies conducted in 33 countries. Survey data collection for module 2 was conducted between and and focuses on accountability and representation. Module 2 includes 41 election studies conducted in 38 countries. Survey data collection for module 3 was conducted between and The module allows investigating the meaningfulness of electoral choices and, accordingly, focuses on a major aspect of electoral dissertation comparative study the contingency in choice of available options.
Module 3 includes 50 election studies conducted in 41 countries. Survey data collection dissertation comparative study module 4 was conducted between and and focuses on distributional politics and social protection.
Survey data collection for module 5 is conducted between and and focuses on the electorate's attitudes towards political elites, on the one hand, and towards "out groups", on the other hand. It thus enables research on attitudes and voting behavior in the context of a rise of parties campaigning on anti-establishment messages and in opposition to "out groups". CSES also has an Integrated Module Dataset IMD which brings together the existing Standalone CSES Modules CSES Modules 1—4 inclusive into one longitudinal and harmonized dataset.
Variables that appear in at least three Standalone CSES Modules, up to and including CSES Module 5, are eligible for inclusion in IMD with all polities participating in CSES included in the dataset. CSES IMD includes overdissertation comparative study, individual-level observations across elections in 55 polities, with voter evaluations of over political parties.
Highlights of the IMD file is party and coalition numerical codes are synchronized across CSES Modules and the incorporation of data bridging variables allowing CSES data to be easily merged with other common datasets in the social sciences. Dissertation comparative study IMD launched in December and is being rolled out on a phased basis with the latest release, Phase 3 released in December CSES data are available publicly and are free of charge.
Data releases are non-proprietary — in other words the data are made available to the public without preferential or advance access to anyone. Data is available in multiple formats including for common statistical packages like STATA, SPSS, SAS and R. The data can be downloaded from the CSES website as well as via the GESIS data catalogue.
The GESIS online analysis tool ZACAT can furthermore be used to browse and explore the dataset. In conjunction with national election study collaborators, the CSES Secretariat administers the CSES project. It consists of staff from the GESIS - Leibniz Institute for the Social Sciences in Germany and the University of Michigan, Ann-Arbor in the United States.
Dissertation comparative study Secretariat is responsible for compiling the final CSES dissertation comparative study by harmonizing the single country studies into a cross-national dataset.
It is also responsible for collecting the district and macro data, for data documentation, and for ensuring data quality. The Secretariat, furthermore, maintains the CSES website, promotes the project, provides support to the user community, and organizes conferences and project meetings. The CSES research agenda, study design, and questionnaires are developed by an international committee of leading scholars in political science, sociology, dissertation comparative study, and survey methodology.
This committee is known as the CSES Planning Committee. At the beginning of each new module, a new Planning Committee is established. Nominations for the Planning Committee come from the user community, with membership of the Committee then being approved by the CSES Plenary Meeting. The Plenary Meeting is made up of national collaborators from each national election study involved in the CSES. Ideas for new modules can be submitted by anyone.
More information on the current planning committee, its members, and subcommittee reports, as well as on past Planning Committees can be found on the CSES website. A list of country collaborators who participate in CSES can also be found on the CSES website. Each year, the CSES awards the GESIS Klingemann Prize for the best CSES scholarship paper, book, dissertation, or other scholarly work, broadly defined. The award is sponsored by the GESIS - Leibniz Institute for the Social Sciences and is named in honor of Professor Dr.
Hans-Dieter Klingemannco-founder of the CSES, an internationally renowned political scientist who made significant contributions to cross-national electoral research, dissertation comparative study. Nominated works must make extensive use of CSES and have a publication date in the calendar year prior to the award, either in print or online. Electoral Studies, dissertation comparative study, 69 1dissertation comparative study, British Journal of Political Science, 49 3 American Journal of Political Science, dissertation comparative study, 62 2dissertation comparative study, Political Science Research and Methods, 5 2— ECPR Press.
Explaining Turnout Inequality across the World". American Journal of Political Science, 59 3 Political Behavior, 37 2 Lau Rutgers UniversityParina Patel Georgetown UniversityDalia F. Fahmy Long Island University and Robert R. Kaufman Rutgers University British Journal of Political Science, 44 02 American Political Science Review, 03dissertation comparative study, Dalton University dissertation comparative study California, Irvine David M.
Farrell University College Dublin and Ian McAllister Australian National University How Parties Organize Democracy". Oxford University Press.
American Journal of Dissertation comparative study Science, 54 1 More information about the CSES can be obtained from the CSES website. CSES also maintains an active social media presence on Twitter csestweets and on Facebook.
The project maintains a blog which provides a glimpse into the work of the CSES project and its associated scholars and user community. The CSES Blog presents research using CSES data, introduces election study collaborators from around the world, offers updates on data collection from the field and provides updates about the CSES and comparative political science research more generally. The CSES Bibliography cites scholarly publications and presentations known to utilize the CSES.
From Wikipedia, dissertation comparative study, the free encyclopedia, dissertation comparative study. Collaborative research project. This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed. Find sources: "Comparative Study of Electoral Systems" — news · newspapers · books · scholar · JSTOR May Learn how and when to remove this template message.
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