Accession Number : ADA623260


Title :   ACSPRI 2014 4th International Social Science Methodology Conference Report


Corporate Author : DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION FISHERMANS BEND (AUSTRALIA) JOINT AND OPERATIONS ANALYSIS DIV


Personal Author(s) : Mazourenko, Elena


Full Text : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA623260


Report Date : Apr 2015


Pagination or Media Count : 26


Abstract : This report summarises themes of interest to the Technology Forecasting and Futures (TFF) Group of JOAD presented at the ACSPRI 4th International Social Science Methodology conference. These themes include causal inferences in quialitative research, the role of theory and interpretation in analysing Big Data, the role of paradata in increasing data quality, the Total Survey Error framework, multi-modal on-line surveying, quality frameworks for assessing qualitative research, and the dynamics of manual vs automated data analysis. Research findings related to these themes are contextualised for the TFF S&T forecasting methodology leading to series of recommendations for improving the S&T forecasting practice.


Descriptors :   *DATA MANAGEMENT , *QUALITATIVE ANALYSIS , *RESEARCH MANAGEMENT , *TECHNOLOGY FORECASTING , AUSTRALIA , AUTOMATION , DATA PROCESSING , DYNAMICS , ERRORS , MULTIMODE , QUALITY , SURVEYS , SYMPOSIA , THEORY


Subject Categories : Administration and Management


Distribution Statement : APPROVED FOR PUBLIC RELEASE