Sam Houston State University

About: Sam Houston State University is a education organization based out in Huntsville, Texas, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 2429 authors who have published 5453 publications receiving 114595 citations. The organization is also known as: SHSU.

A Typology of Mixed Methods Sampling Designs in Social Science Research

Abstract: This paper provides a framework for developing sampling designs in mixed methods research. First, we present sampling schemes that have been associated with quantitative and qualitative research. Second, we discuss sample size considerations and provide sample size recommendations for each of the major research designs for quantitative and qualitative approaches. Third, we provide a sampling design typology and we demonstrate how sampling designs can be classified according to time orientation of the components and relationship of the qualitative and quantitative sample. Fourth, we present four major crises to mixed methods research and indicate how each crisis may be used to guide sampling design considerations. Finally, we emphasize how sampling design impacts the extent to which researchers can generalize their findings. Key Words: Sampling Schemes, Qualitative Research, Generalization, Parallel Sampling Designs, Pairwise Sampling Designs, Subgroup Sampling Designs, Nested Sampling Designs, and Multilevel Sampling Designs

An Array of Qualitative Data Analysis Tools: A Call for Data Analysis Triangulation.

Abstract: One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven qualitative analysis tools: methods of constant comparison, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, and componential analysis. Then, the authors outline when to use each type of analysis. In so doing, the authors use real qualitative data to help distinguish the various types of analyses. Furthermore, flowcharts and tables are provided to help delineate when to choose each type of analysis. Finally, the role of computer-assisted software in the qualitative data-analytic process is discussed. As such, use of the analyses outlined in this article should help to promote rigor in qualitative research.

A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research

Abstract: Despite the abundance of published material on conducting focus groups, scant specific information exists on how to analyze focus group data in social science research. Thus, the authors provide a ...

Survival Analysis: A Self-Learning Text

Abstract: Introduction to Survival Analysis.- Kaplan-Meier Survival Curves and the Log-Rank Test.- The Cox Proportional Hazards Model and Its Characteristics.- Evaluating the Proportional Hazards Assumption.- The Stratified Cox Procedure.- Extension of the Cox Proportional Hazards Model for Time-Dependent Variables.- Parametric Survival Models.- Recurrent Events Survival Analysis.- Competing Risks Survival Analysis.

Green supply chain management practices: impact on performance

Abstract: Purpose – The aim is to contribute significantly to the first wave of empirical investigations related to the impact of green supply chain management (GSCM) practices on performance. The paper also aims to theorize and empirically assess a comprehensive GSCM practices and performance model. The model incorporates green supply chain practices that link manufacturers with supply chain partners (both suppliers and customers) to support environmental sustainability throughout the supply chain.Design/methodology/approach – Data collected from 159 manufacturing managers were analyzed using a structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations work with suppliers and customers to improve environmental sustainability of the supply chain.Findings – Generally, the adoption of GSCM practices by manufacturing organizations leads to improved environmental performance and economic performance, which, in turn, positively impact operational perf...