Presentation on theme: "2007 ISSSS Conference Bethesda, MD Joe Jurczyk University of Akron"— Presentation transcript:
1 A Web-Based Tool for Administering Data Collection for Q Methodology Studies 2007 ISSSS ConferenceBethesda, MDJoe JurczykUniversity of AkronDoctoral Studentq-sOrt.COM
2 Introduction Method of administering Q Methodology Studies: Traditional method:Printed cardsFace-to-face administration of sortAnalysis (PQMethod, PCQ)Some Web-Based Tools for sortingWebQSolitaireQFlashQAuthor’s original Q-Sort.com program demo-ed at Q Conference at Kent State –Stark (Canton) (developed in Director)…but…
3 Problem StatementWhile there are several project-specific web- based tools for q-sorting, there is no general- purpose application to accommodate the administration of multiple studies.
4 Purpose StatementGoal of research is to develop an integrated general web-based solution that incorporates three components:Administration Module (Researcher)Sorting Module (Respondent)Analysis Module (Researcher)
5 DissertationDevelopment of a general web-based tool for managing Q Methodology studiesWill include:Review of existing toolsProgramming /design / development of tool to address shortcomings/opportunitiesTesting of tool by with real studies to provide feedback, suggested revisionsDocumentation of process
7 Administration Module Functions:Setup web-based Q studies: - create q sample - rating scale (e.g. -5 to +5) and grid- conditions of instruction (e.g. Most Unlike to Most Like)- rules (e.g. pre-sort items into 3 piles: +, -, 0)Store sorts (manual and web-based)Invite participants byView study progressCreate printout with q sample, instructions, rulesImport/Export data from Excel, PQMethod, text
8 Administration Module FeaturesDatabase-driven (MySQL)Web-based access to data (not PC-specific)Re-use of q sample (e.g. multiple conditions of instruction)Generate invitations to participateCan accept data collected manually and onlineBenefitsAccessible anytime, anywhere by researcher and respondentProvides setup/administration to multiple studiesLower setup costs (time)
15 Sorting Module Functions: Features Benefits Provides graphic (Flash-based) web interface for sorting itemsResults stored in database, researcher notifiedFeaturesWeb-based interfaceCan incorporate text and multimedia (graphics, audio, animation, etc.) itemsIncorporate chat on online discussion between researcher and respondentBenefitsNo geographic limits – accessible anytime, anywhereResults automatically stored online
16 Sorting Module Process Program presents rules and conditions of instructionProgram presents items to sort into 3 preliminary pilesUser pre-sorts items, sorts items into grid(s)User submits responsesProgram verifies responses, checks rules for validityProgram asks questions (demographics, open-ended questions)Program stores results in database (tbl_results):User idData from sortAnswers from questions
17 Analysis Module Functions: Features Benefits Perform analysis of collected Q-SortsExport data to common formatsFuture: web-based integrated version of PQMethod (Java-based) or similar analysis toolFeaturesPQMethod-compatibleDatabase-drivenBenefitsNo data entry required (web-based)Automatically generate .sta, .dat, .lis, .raw filesFuture: web-based allows access anytime, anywhere
18 Platforms Administration and Sorting Modules: Analysis Module Flash interface with XMLPHPMySQL backendAnalysis ModuleCurrently: DOS/Windows-based (PQMethod or PCQ) that can import Q-Sort.com dataFuture: Integrate Java-based module with Flash interface
20 SummaryGoal: To provide a general web-based tool that will be flexible in order to :Support multiple studies (multiple concourses, data types, conditions of instruction, rules)Provide a universal interface for administrators and subjectsCompatible with other analysis programs
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