Fundamentals of Research
Fundamentals of Research CSS 506
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This 2 page Class Notes was uploaded by Burnice Wilkinson on Friday October 23, 2015. The Class Notes belongs to CSS 506 at University of Idaho taught by Yen Le in Fall. Since its upload, it has received 17 views. For similar materials see /class/227794/css-506-university-of-idaho in Computational Social Science at University of Idaho.
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Date Created: 10/23/15
Mixed Methods Strategies CSS 506 Fall 2008 October 13 2008 Sequential Explanatory Strategy separate stages Collect amp analyze QUAN Collect amp analyze quan Integrated during interpretation phase May or may not have theoretical perspective Purpose use qual to assist in explaining and interpreting the QUAN Useful with unexpected QUAN results qual examines in detail Strength separate stages in design description reporting Weakness length oftime bc of2 separate stages esp if equal emphasis Sequential Exploratory Strategy 2 stages Priority in 1St stage Collect amp analyze QUAL Collect amp analyze quan Integrated during interpretation phase May or may not have theoretical perspective Quan assists interpretation of QUAL Purpose explore a phenomenon determine the distribution ofa phenomenon within a chosen population grounded theory testing elements of an emergent theory so that it can be generalized developing and testing new instrument psychometrics Strength separate stages in design description reporting Weakness length oftime bc of2 separate stages can be dif cult to bild from the QUAL analysis to quan data collection Sequential Transformative Strategy 2 stages Either method used first either priority or equal emphasis Results integrated during interpretation phase Theoretical perspective drives research not just methods Purpose employ the methods that will best serve the theoretical perspective give voice to diverse perspectives advocate for participants better understand phenomenon or process that is changing as a result of being studied Strength separate stages in design description reporting Weakness length oftime bc of2 separate stages esp if equal emphasis Concurrent Triangulation one stage 2 methods in attempt to con rm crossvalidate or corroborate ndings within one study Methods offset weaknesses of other method Ideally priority is equal but not always practical Integrates results during interpretation phase convergence strengthens knowledge claims or explains lack of convergence Strength familiar wellvalidated and substantiated ndings shorter data collection than 2 stage studies Weakness great effort and expertise to study phenomenon with 2 methods difficulty comparing the results bc of different methods unclear how to resolve discrepancies in findings between methods Concurrent Nested Strategy one stage Predominant method that guides project lesser is embedded or nested which can address a different question or seek information at a different level Data mixed during analysis phase Purposes broader perspective than one method embedded quan can enrich description ofthe sample participants embedded qual describe aspect of quan that can t be quanti ed one within a framework of the other eg conduct experiment as case study of different treatments Strengths shorter data collection both quan and qual gain multiple perspectives from different types of data or different levels within study Limitations data must be transformed to be integrated within analysis phase little written guidance unclear how to resolve discrepancies in ndings between methods unequal evidence bc of priority of one method makes it difficult to interpret results Concurrent Transformative Strategy one stage Speci c theoretical perspective drives research critical theory advocacy participatory research or a conceptual or theoretical framework Purpose theoretical perspective drives aII methodological choices problem de nition design and data source identi cation analyzing interpreting reporting results throughout process Choice of model triangulation or nested facilitates theoretical perspective Equal or unequal priority during single collection stage Integration most often during analysis phase but can be during interpretation phase Strengths transformative framework shorter data collection both quan and qual gain multiple perspectives from different types of data or different levels within study Limitations data must be transformed to be integrated within analysis phase little written guidance unclear how to resolve discrepancies in ndings between methods unequal evidence bc of priority of one method makes it difficult to interpret results
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