Introduction to Primary Research: Observations, Surveys, and Interviews by Dana Lynn Driscoll
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
D-Lab Scale-Ups User Research Framework Table of Contents
User Research Framework Rebecca Smith Kendra Leith D-LAB SCALE-UPS USER RESEARCH FRAMEWORK Table of Contents ACKNOWLEDGEMENTS 4 INTRODUCTION 5 WHAT IS USER RESEARCH? 5 USERS AND CUSTOMERS 6 WHY USER RESEARCH? 6 CASE STUDY 6 QUICK-START GUIDE 8 PREPARATION 8 IMPLEMENTATION 8 PROCESSING 9 GETTING STARTED: CREATING A USER RESEARCH PLAN 10 WHAT: DETERMINING RESEARCH SCOPE AND CONDUCTING SECONDARY RESEARCH 10 DEFINING YOUR RESEARCH GOALS AND DESIGN CHALLENGE 10 SECONDARY RESEARCH 10 WHO: STAKEHOLDERS AND RESEARCH PARTICIPANTS 11 STAKEHOLDER ANALYSIS 11 DETERMINING NUMBER OF PARTICIPANTS 12 SELECTING PARTICIPANTS 12 HOW: METHODS, TEAM, LOCATION, TIMING, AND BUDGET 14 SELECTING RESEARCH METHODS 14 BUILDING THE TEAM 15 WHERE: SELECTING LOCATION(S) 16 WHEN: DETERMINING RESEARCH TIMELINE 17 BUDGETING RESOURCES 18 COMMUNICATING THE PLAN 19 OBSERVATION 20 WHY IT IS IMPORTANT AND WHEN TO USE 20 CHALLENGES 20 PLANNING AND CARRYING OUT 21 INTERVIEWING 22 WHY IT IS IMPORTANT AND WHEN TO USE 22 TYPES OF INTERVIEWS 22 INDIVIDUAL INTERVIEWS 23 EXPERT INTERVIEWS 23 GROUP INTERVIEWS 23 D-LAB SCALE-UPS USER RESEARCH FRAMEWORK FOCUS GROUPS 24 PLANNING AND CARRYING OUT 25 DEVELOPING AN INTERVIEW GUIDE 25 SCHEDULING INTERVIEWS (TIME AND LOCATION) 27 INTERVIEWING APPROACH 29 WORKING WITH INTERPRETERS 29 FOCUS GROUPS 30 IMMERSION 32 WHY IT IS IMPORTANT AND WHEN TO USE 32 CHALLENGES 32 PLANNING AND CARRYING OUT 32 CO-DESIGN 33 WHY IT IS IMPORTANT AND WHEN TO USE 34 CHALLENGES 34 PLANNING AND CARRYING OUT 34 RECORDING INFORMATION 36 DOCUMENTATION METHODS 36 WRITTEN -
Outline of Science
Outline of science The following outline is provided as a topical overview of • Empirical method – science: • Experimental method – The steps involved in order Science – systematic effort of acquiring knowledge— to produce a reliable and logical conclusion include: through observation and experimentation coupled with logic and reasoning to find out what can be proved or 1. Asking a question about a natural phenomenon not proved—and the knowledge thus acquired. The word 2. Making observations of the phenomenon “science” comes from the Latin word “scientia” mean- 3. Forming a hypothesis – proposed explanation ing knowledge. A practitioner of science is called a for a phenomenon. For a hypothesis to be a "scientist". Modern science respects objective logical rea- scientific hypothesis, the scientific method re- soning, and follows a set of core procedures or rules in or- quires that one can test it. Scientists generally der to determine the nature and underlying natural laws of base scientific hypotheses on previous obser- the universe and everything in it. Some scientists do not vations that cannot satisfactorily be explained know of the rules themselves, but follow them through with the available scientific theories. research policies. These procedures are known as the 4. Predicting a logical consequence of the hy- scientific method. pothesis 5. Testing the hypothesis through an experiment – methodical procedure carried out with the 1 Essence of science goal of verifying, falsifying, or establishing the validity of a hypothesis. The 3 types of -
Integrating Traditional and Scientific Knowledge Through Collaborative Natural Science Field Research: Identifying Elements for Success Author(S): HENRY P
Integrating Traditional and Scientific Knowledge through Collaborative Natural Science Field Research: Identifying Elements for Success Author(s): HENRY P. HUNTINGTON, SHARI GEARHEARD, ANDREW R. MAHONEY and ANNE K. SALOMON Source: Arctic, Vol. 64, No. 4 (DECEMBER 2011), pp. 437-445 Published by: Arctic Institute of North America Stable URL: http://www.jstor.org/stable/41319238 . Accessed: 19/04/2013 19:36 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Arctic Institute of North America is collaborating with JSTOR to digitize, preserve and extend access to Arctic. http://www.jstor.org This content downloaded from 142.104.194.93 on Fri, 19 Apr 2013 19:36:47 PM All use subject to JSTOR Terms and Conditions ARCTIC VOL.64, NO. 4(DECEMBER 2011)P. 437-445 Integrating Traditional and Scientific Knowledge through Collaborative Natural Science Field Research: Identifying Elements for Success HENRY P. HUNTINGTON,1SHARI GEARHEARD,2ANDREW R. MAHONEY3 and ANNE K. SALOMON4 ( Received23 December 2010; accepted in revised form 21 April 2011) ABSTRACT.We discuss two recent projects to examine the role of collaborative environmental fieldwork both in research and inthe interactions between academically trained researchers and experienced local residents. -
Triangulation in Social Research: Qualitative and Quantitative Methods Can Really Be Mixed
Triangulation in Social Research: Qualitative and Quantitative Methods Can Really Be Mixed FINAL VERSION. Forthcoming as a chapter in Developments in Sociology, 2004, ed. M. Holborn, Ormskirk: Causeway Press. By Wendy Olsen Abstract For those who teach methodology within social science departments, notably sociology, the mixing of quantitative and qualitative methods presents an ongoing problem. Recent developments in the philosophy of science have argued that the two traditions should not have a separate-but-equal status, and should instead interact. By reviewing three positions about this issue ('empiricist', constructionist, and realist) the chapter offers a review of the sociological approach now known as triangulation. The chapter refers to several empirical examples that illustrate the realist position and its strengths. The conclusion of the chapter is a more abstract review of the debate over pluralism in methodology. Triangulation, I argue, is not aimed merely at validation but at deepening and widening one's understanding. As a research aim, this one can be achieved either by a person or by a research team or group. Triangulation and pluralism both tend to support interdisciplinary research rather than a strongly bounded discipline of sociology. (For a copy of this book, you may contact Causeway Press on 01695 576048, email [email protected], ISBN 1902796829.) 1 Biographical Note Wendy Olsen Wendy Olsen grew up in Indiana and moved at age 18 to Beloit College in Wisconsin, where she studied economics and politics in a liberal arts degree. She moved to Britain in 1981 to study at Oxford University, where she received a masters and doctoral degree in economics. -
Methodological Fit in Management Field Research
Academy of Management Review 2007, Vol. 32, No. 4, 1155–1179. METHODOLOGICAL FIT IN MANAGEMENT FIELD RESEARCH AMY C. EDMONDSON Harvard Business School STACY E. MCMANUS Monitor Executive Development Methodological fit, an implicitly valued attribute of high-quality field research in organizations, has received little attention in the management literature. Fit refers to internal consistency among elements of a research project—research question, prior work, research design, and theoretical contribution. We introduce a contingency framework that relates prior work to the design of a research project, paying particular attention to the question of when to mix qualitative and quantitative data in a single research paper. We discuss implications of the framework for educating new field researchers. To advance management theory, a growing This article introduces a framework for as- number of scholars are engaging in field re- sessing and promoting methodological fit as an search, studying real people, real problems, and overarching criterion for ensuring quality field real organizations. Although the potential rele- research. We define methodological fit as inter- vance of field research is motivating, the re- nal consistency among elements of a research search journey can be messy and inefficient, project (see Table 1 for four key elements of field fraught with logistical hurdles and unexpected research). Although articles based on field re- events. Researchers manage complex relation- search in leading academic journals usually ex- ships with sites, cope with constraints on sam- hibit a high degree of methodological fit, guide- ple selection and timing of data collection, and lines for ensuring it are not readily available. often confront mid-project changes to planned Beyond the observation that qualitative data are research designs. -
A General Survey of Qualitative Research Methodology. PUB DATE 88 NOTE 60P
DOCUMENT RESUME ED 304 448 TM 012 671 AUTHOR Cary, Rick TITLE A General Survey of Qualitative Research Methodology. PUB DATE 88 NOTE 60p. PUB TYPE Information Analyses (070) EDRS PRICE MF01/PC03 Plus Postage. DESCRIPTORS *Educational Research; Literature Reviews; Naturalism; *Qualitative Research; *Research Methodology; Social Influences IDENTIFIERS Positivism ABSTRACT Current definitions and philosophical foundations of qualitative research are presented; and designs, evaluation methods, and issues in application of qualitative research to education are discussed. The effects of pusitivism and the post-positivist era on qualitative research are outlined, and naturalist and positivist approaches are contrasted. Contributions of anthropology, the social survey movement, sociology, and the social upheavals of the 1960's are noted; and the growth of qualitatiVe tee-eafdh in the field of education during the past 30 years is briefly reviewed. General traits characterizing qualitative research and naturalistic research are discussed. Topics associated with design issues include inquiry focus, the fit of the paradigm, data collection and recording, successive phases of inquiry; instrumentation, data analysis, logistics, and trustworthiness. Case studies and multi-site studies are discussed. In terms of the evaluation of qualitative research, issues covered include truth value, applicability, dependability, and confirmability. It is concluded that educational researchers need to be fluent in both qualitative and quantitative research methods. (TJH) *********************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ********************************************************************** U.S. DEPARTMENT OF EDUCATION Once of Educat.onal Research and Improvement "PERMISSION TO REPRODUCE THIS EDUCATIONAL RESOURCES INFORMATION MATERIAL HAS BEEN GRANTED BY CENTER (ERIC) V1;nisdocument has been reproduced as received from the person or organization ie Nfitaeht,e1 originating d. -
Summary of Human Subjects Protection Issues Related to Large Sample Surveys
Summary of Human Subjects Protection Issues Related to Large Sample Surveys U.S. Department of Justice Bureau of Justice Statistics Joan E. Sieber June 2001, NCJ 187692 U.S. Department of Justice Office of Justice Programs John Ashcroft Attorney General Bureau of Justice Statistics Lawrence A. Greenfeld Acting Director Report of work performed under a BJS purchase order to Joan E. Sieber, Department of Psychology, California State University at Hayward, Hayward, California 94542, (510) 538-5424, e-mail [email protected]. The author acknowledges the assistance of Caroline Wolf Harlow, BJS Statistician and project monitor. Ellen Goldberg edited the document. Contents of this report do not necessarily reflect the views or policies of the Bureau of Justice Statistics or the Department of Justice. This report and others from the Bureau of Justice Statistics are available through the Internet — http://www.ojp.usdoj.gov/bjs Table of Contents 1. Introduction 2 Limitations of the Common Rule with respect to survey research 2 2. Risks and benefits of participation in sample surveys 5 Standard risk issues, researcher responses, and IRB requirements 5 Long-term consequences 6 Background issues 6 3. Procedures to protect privacy and maintain confidentiality 9 Standard issues and problems 9 Confidentiality assurances and their consequences 21 Emerging issues of privacy and confidentiality 22 4. Other procedures for minimizing risks and promoting benefits 23 Identifying and minimizing risks 23 Identifying and maximizing possible benefits 26 5. Procedures for responding to requests for help or assistance 28 Standard procedures 28 Background considerations 28 A specific recommendation: An experiment within the survey 32 6. -
Secondary Data Analysis in Educational Research: Opportunities for Phd Students
75 SHS W eb o f Conferences , 04005 (2020) https://doi.org/10.1051/shsconf/20207504005 ICHTML 2020 Secondary data analysis in educational research: opportunities for PhD students Liubov Panchenko1,*, and Nataliia Samovilova2 1National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 37 Peremohy Ave., Kyiv, 03056, Ukraine 2Luhansk Taras Shevchenko National University, 1 Gogol Sq., Starobilsk, 92703, Ukraine Abstract. The article discusses the problem of using secondary data analysis (SDA) in educational research. The definitions of the SDA are analyzed; the statistics of journals articles with secondary data analysis in the field of sociology, social work and education is discussed; the dynamics of articles with data in the Journal of Peace Research 1988 to 2018 is conducted; the papers of Ukrainian conference “Implementation of European Standards in Ukrainian Educational Research” (2019) are analyzed. The problems of PhD student training to use secondary data analysis in their dissertation are discussed: the sources of secondary data analysis in the education field for Ukrainian PhD students are proposed, and the model of training of Ukrainian PhD students in the field of secondary data analysis is offered. This model consists of three components: theory component includes the theoretic basic of secondary data analysis; practice component contains the examples and tasks of using SDA in educational research with statistics software and Internet tools; the third component is PhD student support in the process of their thesis writing. 1 Introduction scientific research has received wide recognition in the global scientific community [2-9]. In the modern digital globalized world, we see a large J. -
The Evidence from World Values Survey Data
Munich Personal RePEc Archive The return of religious Antisemitism? The evidence from World Values Survey data Tausch, Arno Innsbruck University and Corvinus University 17 November 2018 Online at https://mpra.ub.uni-muenchen.de/90093/ MPRA Paper No. 90093, posted 18 Nov 2018 03:28 UTC The return of religious Antisemitism? The evidence from World Values Survey data Arno Tausch Abstract 1) Background: This paper addresses the return of religious Antisemitism by a multivariate analysis of global opinion data from 28 countries. 2) Methods: For the lack of any available alternative we used the World Values Survey (WVS) Antisemitism study item: rejection of Jewish neighbors. It is closely correlated with the recent ADL-100 Index of Antisemitism for more than 100 countries. To test the combined effects of religion and background variables like gender, age, education, income and life satisfaction on Antisemitism, we applied the full range of multivariate analysis including promax factor analysis and multiple OLS regression. 3) Results: Although religion as such still seems to be connected with the phenomenon of Antisemitism, intervening variables such as restrictive attitudes on gender and the religion-state relationship play an important role. Western Evangelical and Oriental Christianity, Islam, Hinduism and Buddhism are performing badly on this account, and there is also a clear global North-South divide for these phenomena. 4) Conclusions: Challenging patriarchic gender ideologies and fundamentalist conceptions of the relationship between religion and state, which are important drivers of Antisemitism, will be an important task in the future. Multiculturalism must be aware of prejudice, patriarchy and religious fundamentalism in the global South. -
Anthropology 1
Anthropology 1 ANTHROPOLOGY [email protected] Hillary DelPrete, Assistant Professor (Graduate Faculty). B.S., Tulane Chair: Christopher DeRosa, Department of History and Anthropology University; M.A., Ph.D., Rutgers University. Professor DelPrete is a biological anthropologist with a specialization in modern evolution. The Anthropology curriculum is designed to provide a liberal arts Teaching and research interests include human evolution, human education that emphasizes the scientific study of humanity. Three areas variation, human behavioral ecology, and anthropometrics. of Anthropology are covered: [email protected] • Cultural Anthropology, the comparative study of human beliefs and Christopher DeRosa, Associate Professor and Chair (Graduate Faculty). behavior with special attention to non-Western societies; B.A., Columbia University; Ph.D., Temple University. Fields include • Archaeology, the study of the human cultural heritage from its military history and American political history. Recent research prehistoric beginnings to the recent past; and concerns the political indoctrination of American soldiers. • Biological Anthropology, the study of racial variation and the physical [email protected] and behavioral evolution of the human species. Adam Heinrich, Assistant Professor (Graduate Faculty). B.S., M.A., The goal of the Anthropology program is to provide students with a broad Ph.D., Rutgers University. Historical and prehistoric archaeology; understanding of humanity that will be relevant to their professions, their -
Explaining Professed Popular Trust in Zimbabwe's Presidents
Dispatch No. 399 | 20 October 2020 Fear and trust: Explaining professed popular trust in Zimbabwe’s presidents Afrobarometer Dispatch No. 399 | Simangele Moyo-Nyede Summary Popular trust in public institutions and officials is an important indicator of political legitimacy, a key resource for the development and functioning of modern democracies (Freitag & Bühlmann, 2009; Chingwete, 2016; Mishler & Rose, 2001; Newton, 2001). However, some analysts argue that while trust is important in a democracy, citizens would be naïve if they didn’t have a certain level of distrust as well (van de Walle & Six, 2004). In Zimbabwe, almost two-thirds of Afrobarometer survey respondents in 2017 said they trusted then-President Robert Mugabe “somewhat” or “a lot.” The following year, after Mugabe ended his 37-year rule under pressure from the military, more than half of respondents expressed trust in his successor, President Emmerson Mnangagwa. At the same time, clear majorities said their country was “going in the wrong direction,” assessed the national economic situation as bad, rated the government’s performance on the economy as poor, and said they did not feel free to criticize the president. As they had for years, headlines portrayed a country contending with a ruined economy, a collapsing health care system, high unemployment and corruption, and poor public services (Pindula News, 2018; Muronzi, 2020). This raises the question: How can citizens who see their country as “going in the wrong direction” express trust in the person leading it there? Do substantial numbers of Zimbabweans really trust their president? If so, what drives this trust? An analysis of Afrobarometer survey data from 2017 and 2018 – during Mugabe’s last year in office and Mnangagwa’s first – suggests that in addition to any number of possible reasons that Zimbabweans may have had for trusting their president, fear of appearing anti- government was one factor contributing to high levels of professed trust. -
World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook
ICPSR 3975 World Values Surveys and European Values Surveys, 1999-2001 User Guide and Codebook Ronald Inglehart et al. University of Michigan Institute for Social Research First ICPSR Version May 2004 Inter-university Consortium for Political and Social Research P.O. Box 1248 Ann Arbor, Michigan 48106 www.icpsr.umich.edu Terms of Use Bibliographic Citation: Publications based on ICPSR data collections should acknowledge those sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: Inglehart, Ronald, et al. WORLD VALUES SURVEYS AND EUROPEAN VALUES SURVEYS, 1999-2001 [Computer file]. ICPSR version. Ann Arbor, MI: Institute for Social Research [producer], 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2004. Request for Information on To provide funding agencies with essential information about use of Use of ICPSR Resources: archival resources and to facilitate the exchange of information about ICPSR participants' research activities, users of ICPSR data are requested to send to ICPSR bibliographic citations for each completed manuscript or thesis abstract. Visit the ICPSR Web site for more information on submitting citations. Data Disclaimer: The original collector of the data, ICPSR, and the relevant funding agency bear no responsibility for uses of this collection or for interpretations or inferences based upon such uses. Responsible Use In preparing data for public release, ICPSR performs a number of Statement: procedures to ensure that the identity of research subjects cannot be disclosed.