SURCA 2019 Abstract Book

Total Page:16

File Type:pdf, Size:1020Kb

Load more

March 25, 2019 SURCA.WSU.EDU SURCA 2019 Table of Contents Schedule of Events ..................................................................................................... 2 Committee .................................................................................................................. 3 Judges ......................................................................................................................... 4 Judges Rubric ............................................................................................................. 6 Sponsors ..................................................................................................................... 7 Entries by Category .................................................................................................... 8 Applied Sciences ................................................................................................... 8 Arts and Design..................................................................................................... 9 Computer Science, Mathematics, Statistics, and Information Sciences ............. 10 Engineering and Physical Sciences .................................................................... 10 Humanities .......................................................................................................... 14 Molecular, Cellular, and Chemical Biology ....................................................... 15 Organismal, Population, Ecological, and Evolutionary Biology ....................... 16 Social Sciences.................................................................................................... 20 Abstracts ................................................................................................................... 23 SURCA 2019 1 SURCA 2019 Schedule of Events Monday, March 25, 2019 Posters: M.G. Carey Senior Ballroom, Compton Union Building (CUB) Awards: CUB Auditorium (Room 177) Noon–2:00 p.m. Student presenters hang their own posters 2:00–2:45 p.m. Judging* without student researchers present 2:45–3:45 p.m. Judging* with student researchers present; judging forms must be turned in by 3:45 p.m. for tallying 3:30–5:00 p.m. Public viewing 5:00–5:45 p.m. SURCA Awards Ceremony (open to all) 5:45 p.m. Presenters remove posters and pick up judges’ feedback sheets *Judges only have access to the CUB Junior Ballroom where they can complete forms and enjoy refreshments. SURCA 2019 2 SURCA 2019 Committee Members Talea Anderson WSU Libraries Jon Crodle WSU Undergraduate Education Andrea Donnenwerth Global Connections Lydia Gerber WSU Honors College Samantha Gizerian Neuroscience Program/College of Veterinary Medicine Jeremy Lessmann Dept. of Chemistry/College of Arts and Sciences Beverly Makhani WSU Undergraduate Education Anne Peasley Office of Assessment of Teaching and Learning Dee Posey Dept. of Psychology/College of Arts and Sciences Shelley Pressley Office of Undergraduate Research/ WSU Undergraduate Education Daniel Rieck WSU Undergraduate Education Mary Sánchez Lanier WSU Undergraduate Education Andrei Smertenko Institute of Biological Chemistry/College of Agricultural, Human, and Natural Resource Sciences LeeAnn Tibbals Health Professions Student Center/College of Arts and Sciences Cindy Williams WSU Undergraduate Education SURCA 2019 3 SURCA 2019 Judges SURCA thanks the nearly 150 judges who have generously donated their time and expertise to evaluate and give valuable feedback to student presenters. This year’s diverse pool of judges includes representatives from: AECOM (Richland, Wash. office) Alta Science and Engineering, Inc. (Moscow, Idaho) (Formerly TerraGraphics) Alturas Analytics, Inc. (Moscow, Idaho) Anatek Labs, Inc. (Moscow, Idaho) Clearwater Paper Corp. (Lewiston, Idaho plant) Comtech EF Data (Moscow, Idaho) METER Group, Inc. USA (Pullman, Wash.) Nez Perce Tribe (Lapwai, Idaho) Rockwell Automation Schweitzer Engineering Laboratories, Inc. (Pullman, Wash.) TerraGraphics Environmental Engineering, Inc. (Moscow, Idaho office) University of Idaho (Moscow, Idaho) University of Idaho/Movement Sciences (Moscow, Idaho) USDA Agricultural Research Service (Pullman, Wash.) USDA Forest Service/Rocky Mountain Research Station (Moscow, Idaho) WSU Faculty and Staff Members (current and retired) WSU Postdoctoral Students SURCA 2019 4 SURCA 2019 5 Judges Rubric Judges 2019 SURCA SURCA 201 SURCA Very Excellent Good Partial Absent Total ELEMENT (check ✓ an appropriate box in each row) Good CRITERIA (4 points) (2 pts.) (1 pts.) (0 pts.) Points (3 pts.) Presentation / Display Visually compelling and well organized display 9 Visual presentation of project Poster Attention to detail (i.e., labels, spelling, font type/size) Novel Contribution / Innovative Thinking Project contributes to or advances the field Novel or unique idea, question, Project creative work or approach Provides background motivation that inspired project Project motivation and goals Identifies significance of project in context with other Background and project works objective or statement Clearly states thesis, hypothesis, idea or goal of project Process / Method Examines process/approach used in context of other work Discipline-specific approach to Explains why the specific process/approach was chosen addressing the idea or project Describes process or approach used to accomplish project Effectively presents product or results completed to date Product / Results Illustrates significance and analyzes implications of A synthesis of what has been Presenter product or results to date done or created to date Next steps, improvements, lessons learned, or future work Engages audience actively and effectively with confidence Oral Communication Communicates skillfully about the full project Oral presentation of the Answers inquiries knowledgeably content of the project Exhibits a professional demeanor in appearance and communication Total For total points: Calculate points in each row and column. Write grand total in the bottom-right box. (Maximum of 64 pts. possible.) Points 6 SURCA 2019 Sponsors SURCA and the Office of Undergraduate Research thanks the generous company, individuals, and office for their thoughtful support of WSU undergraduate researchers and this event. The awards for top presentations today are courtesy of: Robert H. (’77 Engineering and Honors) and Mary L. Rieck SURCA 2019 7 Showcase for Undergraduate Research and Creative Activities 2019 Directory of Entries Organized first by category, then alphabetically by presenter. Applied Sciences Poster No. Presenter Title of Abstract 87 Kelly Anders Fermentation of Differing Particle Sizes of a Dairy Total Mixed Mentor: Mark Nelson Ration 15 Hannah Cameron Bovine-Avian Interactions on Dairies Mentor: Amber Adams Progar 85 Naomi DuBois Increasing Corn Yield Through Cover Crop and Tillage Mentors: Doug Collins and Management Nathan Stacey 9 Chantel Eckland Changes in Functional Reach Space Throughout Pregnancy Mentor: Robert Catena 97 Paige Gear Tamarind – A Regional Food Source in Rural Guatemala Mentor: Kathy Beerman Facilitates Iron Fortification of Food Prepared With Lucky Iron Fish 168 Alyssa Hampton Effects of Cannabis Vapor Self-Administration on Decision Mentor: Ryan McLaughlin Making in Adulthood 30 Tatum Hardy Development of Foods with Modified Textures for Infants and Mentor: Carolyn Ross Children with Feeding Difficulties 168 Xitlali Herrera Effects of Cannabis Vapor Self-Administration on Decision Mentor: Ryan McLaughlin Making in Adulthood 27 Jodie Kaya Evaluating Primary Winter Synthetic Wheat for Resistance to Mentor: Nikayla Strauss Fusarium Crown Rot 77 Courtney Lauer Comparison of Standard Western Medicine and Traditional Mentor: Sian Ritchie Chinese Medicine Treatments for Migraines SURCA 2019 8 Poster (Applied Sciences) No. Presenter Title of Abstract 122 Grace Lim Prenatal Chronic Cannabis Exposure: Stress- and Emotion- Mentor: Ryan McLaughlin related Behavior 73 Heather Lynn Development of an In Vitro Model to Predict In Vivo Digestion Mentor: Mark Nelson by the Pre-ruminant Dairy Calf 4 Devon McCornack Paper-based Isotachophoretic Analysis of Cancer-derived Mentor: Wen-Ji Dong Exosomes for Early Cancer Diagnostics 153 David Morin Field Stability in Unshielded Helmholtz Coils Mentor: Brian Saam 4 Devin Thompson Paper-based Isotachophoretic Analysis of Cancer-derived Mentor: Wen-Ji Dong Exosomes for Early Cancer Diagnostics 124 Chase Warren Genetically Induced Speciation Through the Edit of Z3P Mentor: Consetta Helmick 59 Jason Wigen Genome Wide Association Study of Spectral Reflectance Mentor: Arron Carter Indicies in Winter Wheat Arts and Design Poster No. Presenter Title of Abstract 162 Davis, Coleman Palouse EcoArts Project Mentor: Linda Russo 110 Jaime Kemple Pullman Depot Heritage Center Mentors: Robert Krikac and Michael Sanchez 34 Kris Kha Table of Belonging Mentors: Robert Krikac and Lisa Ann Johnson-Shull 162 Ellen MacNary Palouse EcoArts Project Mentor: Linda Russo 110 Keyaira Mumford Pullman Depot Heritage Center Mentors: Robert Krikac and Michael Sanchez 34 Sarah Rosenthal Table of Belonging Mentors: Robert Krikac and Lisa Ann Johnson-Shull 101 Malu Santos A Missing Purple Heart Mentor: Lisa Waananen Jones SURCA 2019 9 Poster (Arts and Design) No. Presenter Title of Abstract 34 Shannon Spilker Table of Belonging Mentors: Robert Krikac and Lisa Ann Johnson-Shull Computer Science, Mathematics, Statistics, and Information Sciences Poster No. Presenter Title of Abstract 29 Elizabeth Allen Decision Trees and Stumps for
Recommended publications
  • Do Ties Really Bind? the Effect of Knowledge and Commercialization Networks on Opposition to Standards

    Do Ties Really Bind? the Effect of Knowledge and Commercialization Networks on Opposition to Standards

    ௠ Academy of Management Journal 2014, Vol. 57, No. 2, 515–540. http://dx.doi.org/10.5465/amj.2011.1064 DO TIES REALLY BIND? THE EFFECT OF KNOWLEDGE AND COMMERCIALIZATION NETWORKS ON OPPOSITION TO STANDARDS RAM RANGANATHAN Management Department, McCombs School of Business, University of Texas at Austin LORI ROSENKOPF Management Department, The Wharton School, University of Pennsylvania We examine how the multiplicity of interorganizational relationships affects strategic behavior by studying the influence of two such relationships—knowledge linkages and commercialization ties—on the voting behavior of firms in a technological standards- setting committee. We find that, while centrally positioned firms in the knowledge network exhibit lower opposition to the standard, centrally positioned firms in the commercialization network exhibit higher opposition to the standard. Thus, the in- fluence of network position on coordination is contingent upon the type of interorgan- izational tie. Furthermore, when we consider these relationships jointly, knowledge centrality moderates the opposing effect of commercialization centrality, such that the commercialization centrality effect increases with decreasing levels of knowledge centrality. In other words, firms most likely to delay the standard are peripheral in the knowledge network yet central in the commercialization network, which suggests that they have the most to lose from changes to current technology. Over the past two decades, a key thesis that re- position influences several different outcomes, verberates across strategy and organization theory including innovation (e.g., Ahuja, 2000), survival research is that interorganizational relationships af- (Baum, Calabrese, & Silverman, 2000), market share fect both firms’ strategic actions and outcomes. Em- (Shipilov, 2006), and financial performance (e.g., Za- pirical support for this idea demonstrates that a heer & Bell, 2005).
  • Deconstructing Statistical Questions Author(S): David J

    Deconstructing Statistical Questions Author(S): David J

    Deconstructing Statistical Questions Author(s): David J. Hand Source: Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 157, No. 3 (1994), pp. 317-356 Published by: Wiley for the Royal Statistical Society Stable URL: https://www.jstor.org/stable/2983526 Accessed: 17-01-2019 16:39 UTC 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]. Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at https://about.jstor.org/terms Royal Statistical Society, Wiley are collaborating with JSTOR to digitize, preserve and extend access to Journal of the Royal Statistical Society. Series A (Statistics in Society) This content downloaded from 71.232.212.173 on Thu, 17 Jan 2019 16:39:36 UTC All use subject to https://about.jstor.org/terms J. R. Statist. Soc. A (1994) 157, Part 3, pp. 317-356 Deconstructing Statistical Questions By DAVID J. HANDt The Open University, Milton Keynes, UK [Read before The Royal Statistical Society on Wednesday, December 15th, 1993, the President, Professor D. J. Bartholomew, in the Chair] SUMMARY Too much current statistical work takes a superficial view of the client's research question, adopting techniques which have a solid history, a sound mathematical basis or readily available software, but without considering in depth whether the questions being answered are in fact those which should be asked.
  • Supply Chain Analysis in Public Works: the Role of Work Climate, Supervision and Organizational Learning

    Supply Chain Analysis in Public Works: the Role of Work Climate, Supervision and Organizational Learning

    Noer SOETJIPTO, Gogi KURNIAWAN, Sulastri SULASTRI, Ari RISWANTO / Journal of Asian Finance, Economics and Business Vol 7 No 12 (2020) 1065–1071 1065 Print ISSN: 2288-4637 / Online ISSN 2288-4645 doi:10.13106/jafeb.2020.vol7.no12.1065 Supply Chain Analysis in Public Works: The Role of Work Climate, Supervision and Organizational Learning Noer SOETJIPTO1, Gogi KURNIAWAN2, Sulastri SULASTRI3, Ari RISWANTO4 Received: September 10, 2020 Revised: November 02, 2020 Accepted: November 16, 2020 Abstract The study aims to analyze the supply chain role of supervision, discipline, work climate, and organizational learning on the performance of community services at the public works. This study took a sample of employees through purposive sampling technique at the Public Works Office and Bina Marga in a regency in East Java. Data through questionnaire was collected through a 5-point Likert scale model. The results show that the application of employee discipline affects the performance of public services, with a contribution of 39.7%, meaning that discipline and organizational learning are implementation factors that have an effect on public service performance. In stepwise regression analysis, the supervisory factor has a correlation with service performance, but it is less relevant, while the work climate is not relevant as a predictor variable to improve public service performance. The study revealed the importance of the supply chain policy of implementing good and clean governance and the enactment of the performance appraisal of the government apparatus established through Good Corporate Governance of the state apparatus. The findings provide a basis to encourage the public sector performance to smooth every step of supply chain management of every government project work, especially in the field of public services.
  • In This Number Editorial Why We Need Qualitative Research

    In This Number Editorial Why We Need Qualitative Research

    Journal of Epidemiology and Community Health 1994;48:425-426 425 J Epidemiol Community Health: first published as 10.1136/jech.48.5.425-a on 1 October 1994. Downloaded from In this number The Duncan memorial lecture Health expectancy compared with life Dr Duncan was the first medical officer of expectancy health in Britain and is remembered in many A methodological article presents the case for ways including an annual lecture in the city adding health to years in calculations of ex- which benefited from his vision and experience, pected life span - a rather different approach Liverpool. We are pleased to be able to publish to quality of life - but advises caution in using the 1993 lecture which is the second in our and interpreting various methods of cal- lecture series following the 1993 Cochrane lec- culation. ture published earlier this year. Social inequalities and accidents The UK Society for Social Medicine Several articles pick up the theme of social We have a long-established tradition of pub- inequalities ard health and the three short lishing abstracts of lectures and posters ac- reports focus on accidents of various types in cepted by peer review for the Annual Scientific the old and the young. Short reports continue Meeting of this Society which numbered in its to be a way of communicating results much members several ofthe founders ofthis Journal. more quickly than normal, especially since the Although this is a special connection we wel- number of papers submitted to the Journal come the submission of abstracts from other each year has dramatically increased lately.
  • Academy of Accounting and Financial Studies Journal

    Academy of Accounting and Financial Studies Journal

    Volume 20, Number 3 Print ISSN: 1096-3685 Online ISSN: 1528-2635 ACADEMY OF ACCOUNTING AND FINANCIAL STUDIES JOURNAL Marianne James California State University, Los Angeles Editor The Academy of Accounting and Financial Studies Journal is owned and published by Jordan Whitney Enterprises, Inc. Editorial content is under the control of the Allied Academies, Inc., a non-profit association of scholars, whose purpose is to support and encourage research and the sharing and exchange of ideas and insights throughout the world. Authors execute a publication permission agreement and assume all liabilities. Neither Jordan Whitney Enterprises nor Allied Academies is responsible for the content of the individual manuscripts. Any omissions or errors are the sole responsibility of the authors. The Editorial Board is responsible for the selection of manuscripts for publication from among those submitted for consideration. The Publishers accept final manuscripts in digital form and make adjustments solely for the purposes of pagination and organization. The Academy of Accounting and Financial Studies Journal is owned and published by Jordan Whitney Enterprises, Inc., PO Box 1032, Weaverville, NC 28787 USA. Those interested in communicating with the Journal, should contact the Executive Director of the Allied Academies at [email protected] Copyright 2016 by Jordan Whitney Enterprises, Inc., Weaverville, NC, USA EDITORIAL REVIEW BOARD MEMBERS Robert Marley Liang Song University of Tampa Michigan Technological University Robert Graber Steve Moss University of Arkansas – Monticello Georgia Southern University Michael Grayson Chris Harris Brooklyn College Elon University Sudip Ghosh Atul K. Saxena Pennn State University, Berks campus Georgia Gwinnett College Rufo R. Mendoza Anthony Yanxiang Gu Certified Public Accountant State University of New York Alkali Yusuf Hema Rao Universiti Utara Malaysia SUNY Osweg Junaid M.
  • Population Based Research

    Population Based Research

    Dr. Ken Barger 2010 POPULATION-BASED RESEARCH 1. Science a. Science b. Scientific Research c. Basic Research Issues 2. Concepts a. Systems b. Culture c. Society d. Ethnocentrism e. Adaptation 3. The Research Process a. Formulate the Research Issue b. Research Plan (1) Research Goals (2) Research variables - dependent, independent, control (3) Research population - definition, sampling (4) Research Designs Cohort/longitudinal model Cross-sectional model Case-control model (5) Data collection techniques (6) Data analysis (7) Reporting (8) Logistics (9) Schedule (10) Project management (11) Research proposals c. Data Collection Qualitative techniques: participant-observation Quantitative techniques: Public survey d. Data Analysis - check data, patterns, relationships, cause e. Interpretations f. Reporting 4. Principles in Scientific Research Grounded scientific research is based on control of biases Biases: Conceptual, methodological, situational, personal Recognition: Reactions - positive or negative, us or them Maximize chances of best predictive understandings Asking valid questions is essential for valid answers Separate facts from the interpretation of facts Professional and ethical standards Appendix 1: Participant-Observation Methods Appendix 2: Survey Methods Appendix 3: Ethnosemantic Methods POPULATION-BASED RESEARCH 1. Science a. Science Science: The study of natural phenomena Purpose: Discovery of natural laws and principles Causal relationships Predictive laws/relationships b. Scientific Research Science is a method of inquiry
  • Statistical Practice: Reprints and Permissions: Sagepub.Co.Uk/Journalspermissions.Nav Putting Society DOI: 10.1177/0263276414559058 on Display Tcs.Sagepub.Com

    Statistical Practice: Reprints and Permissions: Sagepub.Co.Uk/Journalspermissions.Nav Putting Society DOI: 10.1177/0263276414559058 on Display Tcs.Sagepub.Com

    Article Theory, Culture & Society 2016, Vol. 33(3) 51–77 ! The Author(s) 2015 Statistical Practice: Reprints and permissions: sagepub.co.uk/journalsPermissions.nav Putting Society DOI: 10.1177/0263276414559058 on Display tcs.sagepub.com Michael Mair University of Liverpool Christian Greiffenhagen Loughborough University W.W. Sharrock University of Manchester Abstract As a contribution to current debates on the ‘social life of methods’, in this article we present an ethnomethodological study of the role of understanding within statistical practice. After reviewing the empirical turn in the methods literature and the chal- lenges to the qualitative-quantitative divide it has given rise to, we argue such case studies are relevant because they enable us to see different ways in which ‘methods’, here quantitative methods, come to have a social life – by embodying and exhibiting understanding they ‘make the social structures of everyday activities observable’ (Garfinkel, 1967: 75), thereby putting society on display. Exhibited understandings rest on distinctive lines of practical social and cultural inquiry – ethnographic ‘forays’ into the worlds of the producers and users of statistics – which are central to good statistical work but are not themselves quantitative. In highlighting these non-statis- tical forms of social and cultural inquiry at work in statistical practice, our case study is an addition to understandings of statistics and usefully points to ways in which studies of the social life of methods might be further developed from here. Keywords ethnomethodology, knowledge, quantitative-qualitative divide, social life of methods, statistics, understanding Introduction Stemming from a growing interest in the ‘social life of method’ (Law et al., 2011; Savage, 2013; and for a more general overview see Mair Corresponding author: Michael Mair.
  • Graduate 2020-2021 Catalog

    Graduate 2020-2021 Catalog

    GRADUATE CATALOG 2020 - 2021 _______________________________________________________ Published by St. Thomas University, Miami Gardens, Florida The programs, policies, requirements and regulations published in this catalog are subject to change as circumstances may require. CONTENTS ACCREDITATION .......................................................................................... 5 BOARD OF TRUSTEES ................................................................................... 5 PRESIDENT'S MESSAGE ................................................................................ 6 VISITING THE UNIVERSITY ......................................................................... 7 Location Map .............................................................................................. 7 Campus Map............................................................................................... 8 ASSOCIATIONS & MEMBERSHIPS ................................................................ 9 MISSION STATEMENT, CORE VALUES & VISION STATEMENT .................. 11 GRADUATE ADMISSIONS ........................................................................... 12 International Student Admissions Procedures ............................................. 15 FINANCIAL AFFAIRS ................................................................................ 18-23 FINANCIAL INFORMATION ........................................................................ 22 VETERANS ADMINISTRATION .............................................................
  • Concealing Social Responsibility? Investigating the Relationship Between CSR, Earnings Management and the Effect of Industry Through Quantitative Analysis

    Concealing Social Responsibility? Investigating the Relationship Between CSR, Earnings Management and the Effect of Industry Through Quantitative Analysis

    A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Moratis, Lars; van Egmond, Max Article Concealing social responsibility? Investigating the relationship between CSR, earnings management and the effect of industry through quantitative analysis International Journal of Corporate Social Responsibility (JCSR) Provided in Cooperation with: CBS International Business School, Cologne Suggested Citation: Moratis, Lars; van Egmond, Max (2018) : Concealing social responsibility? Investigating the relationship between CSR, earnings management and the effect of industry through quantitative analysis, International Journal of Corporate Social Responsibility (JCSR), ISSN 2366-0074, Springer, Cham, Vol. 3, Iss. 8, pp. 1-13, http://dx.doi.org/10.1186/s40991-018-0030-7 This Version is available at: http://hdl.handle.net/10419/217416 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence.
  • Research Methodology for Ethnostatistics in Organization Studies

    Research Methodology for Ethnostatistics in Organization Studies

    The current issue and full text archive of this journal is available on Emerald Insight at: https://www.emerald.com/insight/2046-6749.htm Ethnostatistics Research methodology for in organization ethnostatistics in organization studies studies: towards a historical ethnostatistics 327 Stella Stoycheva and Giovanni Favero Received 4 March 2019 ’ Revised 15 January 2020 Department of Management, UniversitaCa Foscari Venezia, Venice, Italy 19 May 2020 Accepted 22 May 2020 Abstract Purpose – While quantification and performance measurement have proliferated widely in academia and the business world, management and organization scholars increasingly agree on the need for a more in-depth focus on the complex dynamics embedded in the construction, use and effects of quantitative measures (pertaining to the thread of research called ethnostatistics). This paper develops a pluralistic method for conducting ethnostatistical research in organizational settings. Whilst presenting practical techniques for conducting research in live settings, it also discusses how historical approaches which focus on source criticism and contextual reconstruction could overcome the limitations of ethnostatistics. Design/methodology/approach – The methodological approach of this paper encompasses an in-depth discussion of the ethnostatistical method, its underlying assumptions and its methodological limitations. Based on this analysis, the authors propose a pluralistic method (model) for conducting ethnostatistical research in organizational settings based on the integration of 1) research practices employed by one of the authors conducting ethnostatistical research in a large multinational organization and 2) best practices from ethnographic and historical research. Findings – This paper suggests how historical approaches can successfully join ethnostatistical enquiries in an attempt to overcome some limitations in existing conventional methods.
  • Graduate Catalog

    Graduate Catalog

    GRADUATE CATALOG 2018 - 2019 _______________________________________________________ Published by St. Thomas University, Miami Gardens, Florida The programs, policies, requirements and regulations published in this catalog are subject to change as circumstances may require. CONTENTS ACCREDITATION .......................................................................................... 5 BOARD OF TRUSTEES ................................................................................... 5 PRESIDENT'S MESSAGE ................................................................................ 6 VISITING THE UNIVERSITY ......................................................................... 7 Location Map .............................................................................................. 7 Campus Map............................................................................................... 8 ASSOCIATIONS & MEMBERSHIPS ................................................................ 9 MISSION STATEMENT, CORE VALUES & VISION STATEMENT .................. 11 GRADUATE ADMISSIONS ........................................................................... 12 International Student Admissions Procedures ............................................. 15 FINANCIAL AFFAIRS ...................................................................................... 19 FINANCIAL INFORMATION ........................................................................ 23 VETERANS ADMINISTRATION ...................................................................
  • 25008401. Pfv. Goa

    25008401. Pfv. Goa

    Edinburgh Research Explorer The Role of Administrative Data in the Big Data Revolution in Social Science Research Citation for published version: Connelly, R, Playford, C, Gayle, V & Dibben, C 2016, 'The Role of Administrative Data in the Big Data Revolution in Social Science Research', Social Science Research, vol. 59, no. September 2016, pp. 1-12. https://doi.org/10.1016/j.ssresearch.2016.04.015 Digital Object Identifier (DOI): 10.1016/j.ssresearch.2016.04.015 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Social Science Research Publisher Rights Statement: © 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC-BY license (http://creativecommons.org/licenses/by/4.0/). General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 27. Sep. 2021 Social Science Research xxx (2016) 1e12 Contents lists available at ScienceDirect Social Science Research journal homepage: www.elsevier.com/locate/ssresearch The role of administrative data in the big data revolution in social science research * Roxanne Connelly a, , Christopher J.