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Grounded Theory
Grounded theory, a qualitative research method, relies on insight generated from the data. Unlike traditional research that begins from a preconceived framework of logically deduced hypotheses, grounded theory begins inductively by gathering data and posing hypotheses during analysis that can be confirmed or disconfirmed during subsequent data collection. Grounded theory is used to generate a theory about a research topic through the systematic and simultaneous collection and analysis of data. Developed in the 1960s by Barney Glaser and Anselm Strauss within the symbolic interactionist tradition of field studies in sociology and drawing also on principles of factor analysis and qualitative mathematics, it is now used widely in the social sciences; business and organizational studies; and, particularly, nursing.
As an exploratory method, grounded theory is particularly well suited for investigating social processes that have attracted little prior research attention, where the previous research is lacking in breadth and/or depth, or where a new point of view on familiar topics appears promising. The purpose is to understand the relationships among concepts that have been derived from qualitative (and, less often, quantitative) data, in order to explore (and explain) the behavior of persons engaged in any specific kind of activity. By using this method, researchers aim to discover the basic issue or problem for people in particular circumstances, and then explain the basic social process (BSP) through which they deal with that issue. The goal is to develop an explanatory theory from the “ground up” (i.e., the theory is derived inductively from the data).
This entry focuses on the grounded theory research process, including data collection, data analysis, and assessments of the results. In addition, modifications to the theory are also discussed.
Grounded Theory Research Design
One important characteristic that distinguishes grounded theory (and other qualitative research) is the evolutionary character of the research design. Because researchers want to fully understand the meaning and course of action of an experience from the perspective of the participants, variables cannot be identified in advance. Instead, the important concepts emerge during data collection and analysis, and the researcher must remain open-minded to recognize these concepts. Therefore, the research process must be flexible to allow these new insights to guide further data collection and exploration. At the same time, grounded theory is both a rigorous and systematic approach to empirical research.
Writing Memos
To ensure that a study is both systematic and flexible, the researcher is responsible for keeping detailed notes in the form of memos in which the researcher documents observations in the field, methodological ideas and arrangements, analytical thinking and decisions, and personal reflections. Memo writing begins at the time of conceptualization of the study with the identification of the phenomenon of interest and continues throughout the study. These memos become part of the study data. When a researcher persists in meticulously recording memos, writing the first draft of the study report becomes a simple matter of sorting the memos into a logical sequence.
Reviewing the Literature
Whether to review the literature before data collection may depend on the circumstances of the individual researcher. Methodological purists follow the originators’ advice to delay reading related literature to avoid developing preconceived ideas that could be imposed during data analysis, thus ensuring that the conceptualization emerges from the data. Instead, they recommend reading broadly in other disciplines early in the study to develop “sensitizing concepts” that may trigger useful ideas and analogies during the latter stages of theoretical construction and elaboration. For them, the actual literature review is more appropriately begun once the theory has started to take shape, at which time previous writing about those concepts that has already emerged from the data can be helpful for developing theoretical relationships and relating the emerging theory to previous knowledge about the topic. Others, however, recognize pragmatically that for a research proposal to be approved by current funding agencies and thesis committees, knowledge of past research must be demonstrated and then followed up with further reading as the theory develops in order to show where it is congruent (or not) with previous academic work.
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- Descriptive Statistics
- Distributions
- Graphical Displays of Data
- Hypothesis Testing
- Alternative Hypotheses
- Beta
- Critical Value
- Decision Rule
- Hypothesis
- Nondirectional Hypotheses
- Nonsignificance
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- “Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix”
- “Meta-Analysis of Psychotherapy Outcome Studies”
- “On the Theory of Scales of Measurement”
- “Probable Error of a Mean, The”
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- Logic of Scientific Discovery, The
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- Central Limit Theorem
- Classical Test Theory
- Correspondence Principle
- Critical Theory
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- Game Theory
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- Generalizability Theory
- Grounded Theory
- Item Response Theory
- Occam's Razor
- Paradigm
- Positivism
- Probability, Laws of
- Theory
- Theory of Attitude Measurement
- Weber-Fechner Law
- Types of Variables
- Validity of Scores
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