The Experts below are selected from a list of 72345 Experts worldwide ranked by ideXlab platform
J.c. Swanson - One of the best experts on this subject based on the ideXlab platform.
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Grounded Theory: An Information Systems Research Methodology
Journal of Computer Information Systems, 2016Co-Authors: N.e. Swanson, J.c. SwansonAbstract:Grounded theory is an inductive, theory generation methodology that permits the research to develop valid concepts, ideas, and theories by grounding the observations in data. This paper explores and presents a rationale for using grounded theory as an information systems research methodology. A strategy for utilizing grounded theory begins with the identification of procedures for Theoretical Sampling which includes collecting, coding, and analyzing data. As concepts and ideas develop, they are sorted accordingly for the generation of theories and the Theoretical writing stage. Given the complex environments and numerous variables that confront the information systems researcher, grounded theory research methodology should help to foster the creation and development of relevant and valid information svstems theories.
Kay Currie - One of the best experts on this subject based on the ideXlab platform.
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Using survey data to assist Theoretical Sampling in grounded theory research.
Nurse researcher, 2009Co-Authors: Kay CurrieAbstract:Grounded theory methods can help to generate a Theoretical explanation of social processes in specific contexts. This paper discusses Theoretical Sampling to guide interview participant selection and reflects on the practical application of this procedure to outline the value and limitations of using survey data in this way.
N.e. Swanson - One of the best experts on this subject based on the ideXlab platform.
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Grounded Theory: An Information Systems Research Methodology
Journal of Computer Information Systems, 2016Co-Authors: N.e. Swanson, J.c. SwansonAbstract:Grounded theory is an inductive, theory generation methodology that permits the research to develop valid concepts, ideas, and theories by grounding the observations in data. This paper explores and presents a rationale for using grounded theory as an information systems research methodology. A strategy for utilizing grounded theory begins with the identification of procedures for Theoretical Sampling which includes collecting, coding, and analyzing data. As concepts and ideas develop, they are sorted accordingly for the generation of theories and the Theoretical writing stage. Given the complex environments and numerous variables that confront the information systems researcher, grounded theory research methodology should help to foster the creation and development of relevant and valid information svstems theories.
Ren Yue-ping - One of the best experts on this subject based on the ideXlab platform.
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Spatial distribution pattern and Sampling technique of spring wheat aphid.
Plant diseases and pests, 2010Co-Authors: Ren Yue-ping, He DahanAbstract:[Objective] The aim was to study the spatial distribution pattern and field Sampling method of aphid population in spring wheat. [Method] The aphid quantity in tested wheat field was calculated, the field distribution pattern of wheat aphid was calculated by using aggregated index method, the aggregated reason was analyzed and the field Theoretical Sampling number was ascertained. [Result] The wheat aphid population showed aggregation distribution and negative binomial distribution, and such aggregation distribution was induced by interaction of its behavior and environmental factors. The field Theoretical Sampling number of wheat aphid was related to sample variance and permissible error; the less the sample variance (S2) was, the less the permissible error (d′) was, the bigger the Theoretical Sampling number without replacement was; when the initial population numbers were different, the Theoretical Sampling numbers were also different; after the permissible error being set, the bigger the sample variance (S2) was, the bigger the Theoretical Sampling number was. [Conclusion] This study supplied scientific basis for prediction and field control of wheat aphid.
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Study on the Spatial Distribution Pattern and Sampling Technique of Spring Wheat Aphid
Journal of Anhui Agricultural Sciences, 2010Co-Authors: Ren Yue-pingAbstract:[Objective] The aim was to study the spatial distribution pattern and field Sampling method of aphid population on spring wheat. [Method]The aphid quantity on wheat in tested field was calculated,the field distribution pattern of wheat aphid was calculated by using aggregation index method,the aggregation reason was analyzed and the field Theoretical Sampling number was ascertained. [Result]The wheat aphid population showed aggregation distribution and negative binomial distribution and such aggregation distribution was induced by interaction of its habit and environmental factors. The field Theoretical Sampling number of wheat aphid was related to sample variance and permissible error; the less the sample variance (S2) was,the less the permissible error (d') was,the bigger the non-return Theoretical Sampling number was; when the initial population numbers were different,the Theoretical Sampling numbers were different; after the permissible error was set,the bigger the sample variance (S2) was,the bigger the Theoretical Sampling number was. [Conclusion]This study supplied scientific basis for prediction and field control of wheat aphid.
He Dahan - One of the best experts on this subject based on the ideXlab platform.
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Spatial distribution pattern and Sampling technique of spring wheat aphid.
Plant diseases and pests, 2010Co-Authors: Ren Yue-ping, He DahanAbstract:[Objective] The aim was to study the spatial distribution pattern and field Sampling method of aphid population in spring wheat. [Method] The aphid quantity in tested wheat field was calculated, the field distribution pattern of wheat aphid was calculated by using aggregated index method, the aggregated reason was analyzed and the field Theoretical Sampling number was ascertained. [Result] The wheat aphid population showed aggregation distribution and negative binomial distribution, and such aggregation distribution was induced by interaction of its behavior and environmental factors. The field Theoretical Sampling number of wheat aphid was related to sample variance and permissible error; the less the sample variance (S2) was, the less the permissible error (d′) was, the bigger the Theoretical Sampling number without replacement was; when the initial population numbers were different, the Theoretical Sampling numbers were also different; after the permissible error being set, the bigger the sample variance (S2) was, the bigger the Theoretical Sampling number was. [Conclusion] This study supplied scientific basis for prediction and field control of wheat aphid.
