Taking the “Q” Out of Research: Teaching Research Methodology Courses Without the Divide Between Quantitative and Qualitative Paradigms

The purpose of this paper is to provide evidence that the debate between quantitative and qualitative is divisive and, hence, counterproductive for advancing the social and behavioral science field. We advocate that all graduate students learn to utilize and to appreciate both quantitative and qualitative research methodologies. As such, students will develop into pragmatist researchers who are able to utilize both quantitative and qualitative techniques when conducting research. We contend that the best way to accomplish this is by eliminating quantitative research methodology and qualitative research methodology courses from curricula and replacing these with research methodology courses at different levels that simultaneously teach both quantitative and qualitative techniques within a mixed methodological framework.An earlier version of this article received the 2003 Southwest Educational Research Association (SERA) Outstanding Paper Award.     

Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research

Health care research includes many studies that combine quantitative and qualitative methods. In this paper, we revisit the quantitative-qualitative debate and review the arguments for and against using mixed-methods. In addition, we discuss the implications stemming from our view, that the paradigms upon which the methods are based have a different view of reality and therefore a different view of the phenomenon under study. Because the two paradigms do not study the same phenomena, quantitative and qualitative methods cannot be combined for cross-validation or triangulation purposes. However, they can be combined for complementary purposes. Future standards for mixed-methods research should clearly reflect this recommendation.     

环境影响报告书(表)质量评定探讨

要使环境影响评价制度真正在实际工作中得到正确的贯彻执行,就必须保证环境影响报告书(表)的质量。如何评定环境影响报告书(表)质量的优劣,是实施环境影响评价制度的实际问题。本文就环境影响报告书(表)的格式、内容要求、质量要求、评定程序、质量评定等级划分等问题进行了探讨,供环评机构、评估机构参考。     

Algorithms for optimal design with application to multiple polynomial regression

The approximate theory of optimal linear regression design leads to specific convex extremum problems for numerical solution. A conceptual algorithm is stated, whose concrete versions lead us from steepest descent type algorithms to improved gradient methods, and finally to second order methods with excellent convergence behaviour. Applications are given to symmetric multiple polynomial models of degree three or less, where invariance structures are utilized. A final section is devoted to the construction of efficientexact designs of sizeN from the optimal approximate designs. For the multifactor cubic model and some of the most popular optimality criteria (D-, A-, andI-criteria) fairly efficient exact designs are obtained, even for small sample sizeN. AMS Subject Classification: 62K05.Abbreviated Title: Algorithms for Optimal Design.Invited paper presented at the International Conference on Mathematical Statistics,ProbaStat '94, Smolenice, Slovakia.     

A Conceptual Framework for Quantitative Text Analysis

Quantitative text analysis refers tothe application of one or more methods for drawingstatistical inferences from text populations. Afterbriefly distinguishing quantitative text analysisfrom linguistics, computational linguistics, andqualitative text analysis, issues raised during the1955 Allerton House Conference are used as a vehiclefor characterizing classical text analysis as aninstrumental-thematic method. Quantitative textanalysis methods are then depicted according to a2 × 3 conceptual framework in which texts areinterpreted either instrumentally (according to theresearcher's conceptual framework) orrepresentationally (according to the texts' sources'perspectives), as well as in which variables arethematic (counts of word/phrase occurrences),semantic (themes within a semantic grammar), ornetwork-related (theme- or relation-positions withina conceptual network). Common methodological errorsassociated with each method are discussed. Thepaper concludes with a delineation of the universeof substantive answers that quantitative text analysisis able to provide to social science researchers.     

The Environmental Outcome of Emissions-intensive Economic Growth: A Critical Look at Official Growth Projections for Sweden up to the Year 2000

Implications for carbon dioxide, sulphur dioxide and nitrogen oxides emissions from the Swedish government's medium-term economic projections are assessed, considering Sweden's environmental goals. Data from the first environmental accounting matrix of Sweden are exploited within the framework of the interindustry model to give emission multipliers for various components of aggregate demand. In view of these emission multipliers, it is evident that the outlined macro-economic development does not conform with Sweden's environmental goals. The oil price and the structural changes assumed in the economic projections stress still further the need for strong environmental policy measures to attain the emission goals. The allocation of total expenditure is shown here to be a critical factor for bringing down the emissions to accepted levels.