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            "extra": "Authors give a brief overview of social science ontologies, settling on realism as one most promising for social science research.  The goal of their paper is to describe how the quality of realism research ought to be judged.  The majority of the authors' arguments is summarized in Table II- Quality criteria for case study research within the realism paradigm, and other research criteria.  The authors provide the following \"Breif description[s] for this realism research\" followed by a description of \"Case study technolgies within [these] realism paradigms\":\n\n1) Research Problem deals with complex social science phenomena invovling reflective people:  Selection of research problem, for example, it is a 'how' and 'why' problem.\n\n2) Open to \"fuzzy boundry\" systems involving generative mechanisms rather than direct cause-and-effect:  Theoretical and literal replication, in-depth questions, emphasis on \"why\" issues, description of the context of the cases\n\n3) \"Value aware\" as opposed to value-free or value-laden: Multiple interviews, supporting evidence, broad questions before probes, triangulation. Self-description and awareness of own values.\nPublished reports for peer review\n\n4) Trustworth- research can be audited:  Case study database, use in the report of relevant quotations and matrices that\nsummarise data, and of descriptions of procedures like case selection and interview procedures\n\n5) Analytical, rather than statistical, generalizations:  Identify research issues before data collection, to formulate an\ninterview protocol that will provide data for confirming or\ndisconfirming theory\n\nThe authors contrast the types of conclusions drawn by realists to those by positivists by saying realists try to find \"a family of answers\" as opposed to a single answer. The \"penultimate\" critereon for the authors, however, is analytic generalization, or theory buidling.  \"Given the complexity of realism's world, realism research must be primarily theory-building, rather than the testing of the\napplicability of a theory to a population, which is the primary concern of positivism.\"",
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            "extra": "Hammersley tries to unravel the criterion upon which qualitative evidence needs to judged and in doing so, tries to flesh out current thinking on where the educational research community stands when it comes to establishing criterion.  According to Hammersley, the lack of clarity and agreement on criterion for judging evidence is part of the reason qualitative research receives so much criticism is because, \"there is no clearly defined set of quality criteria available for judging [evidence]\".  Hammersley introduces readers to some arguments that the hope for a set of standard criterion needs to be abandoned when it comes to qualitative research. While Hammersley rejects the idea that there needs to be a rigid list of criterion but acknowledges that practioners and policy makers must (and do) judge research when they read it, \"While I am rejecting the idea of a finite set of explicit and exhaustive criteria that\ncan substitute for judgment, or render its role minimal, the above discussion indicates my belief that criteria, in the form of guidelines, can play an important role in the work of researchers.\"\n\nHammersley argues that criteria hold some inherent value to researchers (as well as consumers of research)  in that they can help researchers remember what to focus on.  During the research process, he argues, researchers can lose sight of the bigger picture, and some reliable set of criteria can aid this.  Hammersley also spells out an interesting dilemma created when lay researchers (such as policy-makers) try to judge researcher, \"On the one hand, the whole point of research is that it may produce un-commonsensical conclusions, and therefore its findings must not be dismissed because they are counter-intuitive. On the other hand, people’s experience and background knowledge will often give them important resources with which to interrogate, modify, or reject research findings; especially in terms of how these relate to particular contexts of action with which they are familiar, and what their implications are for practical action. So, good judgment is required by lay users, just as much as it is on the part of researchers, and it is even more difficult to exercise in their case.\"\n\nHammerseley wonders how much of the problem of criterion and judgment comes from the fact that social science researchers have accepted the value-laden nature of their questions and the inherently political nature of social science research.  Hammersely points out that Max Weber felt strongly that social science research need not be inherently political, \"he argued that research could play a role in facilitating the resolution of disagreements through both providing relevant factual evidence and clarifying the implications of different value positions; though he recognized that there was no guarantee that it could completely resolve any disagreement, since there are ineradicable conflicts among fundamental values.  Nonetheless, this plurality of purpose found among educational researchers is real and it complicates questions of judging evidence greatly.  In the end, Hammersely roughly concludes, \"There are serious differences in perspective, but some means need to be found to\nat least reduce them, so as to increase the level of agreement across educational\nresearchers’ judgments about what is and is not good quality work.  Developing\nguidelines may serve a useful function in this.\" Hammersely seems to feel the greatest divide lies between social scientists who see themselves as activists and those who see their work as politically neutral.  To this end, Hammersely implores activist researchers to help close this gap by establishing an internal set of criteria.  He ends by saying, \"At the same time, we should not simply accept methodological pluralism at face value, reinforcing it by treating each qualitative approach as having its own unique set of quality criteria. Dialogue on this issue across different approaches, and indeed across the qualitative–quantitative divide, is essential for the future of social and educational research.\"",
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            "note": "<p>Hammersley tries to unravel the critereon upon which qualitative evidence needs to judged and in doing so, tries to flesh out current thinking on where the educational research community stands when it comes to establishing critereon.  According to Hammersley, the lack of clarity and agreement on critereon for judging evidence is part of the reason qualitative research recieves so much criticism is because, \"there is no clearly defined set of quality criteria available for judging [evidence]\".  Hammersley introduces readers to some arguments that the hope for a set of standard critereon needs to be abandoned when it comes to qualitiative reserach. While Hammersley rejects the idea that there needs to be a rigid list of critereon but acknowledges that practioners and policy makers must (and do) judge research when they read it, \"While I am rejecting the idea of a finite set of explicit and exhaustive criteria that<br />can substitute for judgement, or render its role minimal, the above discussion indicates my belief that criteria, in the form of guidelines, can play an important role in the work of researchers.\"</p>\n<p>Hammersley argues that criterea hold some inherent value to researchers (as well as consumers of research)  in that they can help researchers remember what to focus on.  During the research process, he argues, researchers can lose sight of the bigger picture, and some reliable set of criterea can aid this.  Hammersley also spells out an interesting dilema created when lay researchers (such as policy-makers) try to judge researcher, \"On the one hand, the whole point of research is that it may produce un-commonsensical conclusions, and therefore its findings must not be dismissed because they are counter-intuitive. On the other hand, people’s experience and background knowledge will often give them important resources with which to interrogate, modify, or reject research findings; especially in terms of how these relate to particular contexts of action with which they are familiar, and what their implications are for practical action. So, good judgement is required by lay users, just as much as it is on the part of researchers, and it is even more difficult to exercise in their case.\"</p>\n<p>Hammerseley wonders how much of the problem of critereon and judgement comes from the fact that social science researchers have accpeted the value-laden nature of their questions and the inherently political nature of social science research.  Hammersely points out that Max Weber felt strongly that social science research need not be inerently poitical, \"he argued that research could play a role in facilitating the resolution of disagreements through both providing relevant factual evidence and clarifying the implications of different value positions; though he recognised that there was no guarantee that it could completely resolve any disagreement, since there are ineradicable conflicts among fundamental values.  Nontheless, this pluarity of purpose found among educational researchers is real and it complicates questions of judging evidence greatly.  In the end, Hammersely roughly concludes, \"There are serious differences in perspective, but some means need to be found to<br />at least reduce them, so as to increase the level of agreement across educational<br />researchers’ judgements about what is and is not good quality work.  Developing<br />guidelines may serve a useful function in this.\" Hammersely seems to feel the greatest divide lies between social scientists who see themselves as activists and those who see their work as politically netural.  To this end, Hammersely implores activist researchers to help close this gap by estabilishing an interneal set of criterea.  He ends by saying, \"At the same time, we should not simply accept methodological pluralism at face value, reinforcing it by treating each qualitative approach as having its own unique set of quality criteria. Dialogue on this issue across different approaches, and indeed across the qualitative–quantitative divide, is essential for the future of social and educational research.\"</p>",
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            "extra": "Hansen Ketchum and Myrick compare and contrast relativist approaches to photo methods with pragmatic realist approaches. The analysis specifically contrasts Lockett's (2005) photo research methods to Kruse (1999). The article includes some basic characterizations of different research frameworks and suggests ways that realist and relativist aproaches prompt different kinds of research designs. With that said, the distinctions between the studies do not seem to be directly connected to the underlaying realist or relativist approaches.",
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            "note": "<p>Authors give a brief overview of social science ontologies, settling on realism as one most promising for social science research.  The goal of their paper is to describe how the quality of realism research ought to be judged.  The majority of the authors' arguments is summarized in Table II- Quality criteria for case study research within the realism paradigm, and other research criteria.  The authors provide the following \"Breif description[s] for this realism research\" followed by a description of \"Case study technolgies within [these] realism paradigms\":</p>\n<p>1) Research Problem deals with complex social science phenomena invovling reflective people:  Selection of research problem, for example, it is a 'how' and 'why' problem.</p>\n<p>2) Open to \"fuzzy boundry\" systems involving generative mechanisms rather than direct cause-and-effect:  Theoretical and literal replication, in-depth questions, emphasis on \"why\" issues, description of the context of the cases</p>\n<p>3) \"Value aware\" as opposed to value-free or value-laden: Multiple interviews, supporting evidence, broad questions before probes, triangulation. Self-description and awareness of own values.<br />Published reports for peer review</p>\n<p>4) Trustworth- research can be audited:  Case study database, use in the report of relevant quotations and matrices that<br />summarise data, and of descriptions of procedures like case selection and interview procedures</p>\n<p>5) Analytical, rather than statistical, generalizations:  Identify research issues before data collection, to formulate an<br />interview protocol that will provide data for confirming or<br />disconfirming theory</p>\n<p>The authors contrast the types of conclusions drawn by realists to those by positivists by saying realists try to find \"a family of ansewrs\" as opposed to a single answer. The \"penultimate\" critereon for the authors, however, is analytic generalization, or theory buidling.  \"Given the complexity of realism's world, realism research must be primarily theory-building, rather than the testing of the<br />applicability of a theory to a population, which is the primary concern of positivism.\"</p>",
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            "extra": "Carter argues against the idea that race and racism should be understood as discourse. He claims it is more fruitful to understand race and racism as the actual interactions between individuals and institutions. He argues that a discourse approach to race puts race into the same category as any kind of imagined community. He specifically focuses on a historical example of postwar british immigration to ground his argument in a individual case. The argument is structurally similar Caroline New's arguments about feminism and gender.",
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            "extra": "Rejects the idea that embracing mixed-methods is a pragmatic approach.  Overall seems to be no big fan of pragmatism, saying it is a-epistemic and cannot really lead us to new knowledge,  \"if criteria\nfor judging the aptness of a piece of social research are determined by practical considerations, then current ways of understanding and ordering the world necessarily take precedence over alternative conceptions; and second, this suggests a form of epistemic relativism where judgements about aptness are always relative to particular social and historical arrangements.\"\n\nAdditionally, the author argues that the current paradigm divide between these two ontologies is unsustainable, and attempts to dissolve the divide.  This dissolution, he tells us, must occur at the ontological level, and it is a critical tenent of realism.  The following principles are used to dissolve the divide:\n\n1) Alignment: \"Alignment comprises the construction of instruments\nthat are usually thought of as quantitative and qualitative so that they produce a data set that is coherent and can be analysed in one particular way. \" (8) The author distinguishes this from the concept of triangulation and cites example of how this was used in a study.\n\n2) Compensastion: Whereas alignment seeks to reconfigure the different instruments, normally categorised\nas quantitative and qualitative, so that a database can be constructed which allows a coherent and consistent analysis to be made, compensation focuses on the\ndevelopment of different instruments and analytical techniques, again normally categorised as quantitative and qualitative, for examining the different levels or layers of social reality.(9) Again, an example of studies illustrating this example is provided. \n\n3) Translation-meaningful linkages between qualitative and quantitative data that can enhance, synergistically, the meaning of the total data. \n\nScott takes readers through various types of triangulation:  1) triangulation of data 2) triangulation of researchers 3) triangulation of methods and 4) triagulation of theory and uses sample studies to illustrate type of triangulation and exposes some inherent flaws in assumptions about triangulation:\n\n\"if the non-objective data are merely being collected to confirm or\nat least to allow the research team greater confidence in the objective data, then the objective data, it is suggested, may be flawed in some yet to be identified way. But this\nis clearly not what is being argued for. What in fact is being argued for is that one method has a number of qualities which allow it to be more objective and thus better at its task, which is to allow an analysis of the data to be made.\" (13)",
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            "note": "<p>Rejects the idea that embracing mixed-methods is a pragmatic approach.  Overall seems to be no big fan of pragmatism, saying it is a-epistemic and cannot really lead us to new knowledge,  \"if criteria<br />for judging the aptness of a piece of social research are determined by practical considerations, then current ways of understanding and ordering the world necessarily take precedence over alternative conceptions; and second, this suggests a form of epistemic relativism where judgements about aptness are always relative to particular social and historical arrangements.\"</p>\n<p>Additionally, the author argues that the current paradigm divide between these two ontologies is unsustainable, and attempts to dissolve the divide.  This dissolution, he tells us, must occur at the ontological level, and it is a critical tenent of realism.  The following principles are used to dissolve the divide:</p>\n<p>1) Alignment: \"Alignment comprises the construction of instruments<br />that are usually thought of as quantitative and qualitative so that they produce a data set that is coherent and can be analysed in one particular way. \" (8) The author distinguishes this from the concept of triangulation and cites example of how this was used in a study.</p>\n<p>2) Compensastion: Whereas alignment seeks to reconfigure the different instruments, normally categorised<br />as quantitative and qualitative, so that a database can be constructed which allows a coherent and consistent analysis to be made, compensation focuses on the<br />development of different instruments and analytical techniques, again normally categorised as quantitative and qualitative, for examining the different levels or layers of social reality.(9) Again, an example of studies illustrating this example is provided.</p>\n<p>3) Translation-meaningful linkages between qualitative and quantitative data that can enhance, synergistically, the meaning of the total data.</p>\n<p>Scott takes readers through various types of triangulation:  1) triangulation of data 2) triangulation of researchers 3) triangulation of methods and 4) triagulation of theory and uses sample studies to illustrate type of triangulation and exposes some inherent flaws in assumptions about triangulation:</p>\n<p>\"if the non-objective data are merely being collected to confirm or<br />at least to allow the research team greater confidence in the objective data, then the objective data, it is suggested, may be flawed in some yet to be identified way. But this<br />is clearly not what is being argued for. What in fact is being argued for is that one method has a number of qualities which allow it to be more objective and thus better at its task, which is to allow an analysis of the data to be made.\" (13)</p>",
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            "extra": "the author is responding to recent arguments that since various methods invite different requirements for validity, it is futile to search for a single standard of validity.\n\n\nIn response to Gary Rolfe, Rolfe argues that there is no unified qualitative paradigm, thus attempts for uniform validity are futlie.He argues that instead of epistemic criterea, we should judge according to \"aethetics and rhetoric\".  Uses haiku as an example that even in a limited form, aesthetics cannot regulate content.\n\n\nRolfe's conclusion is also elitist because research is judged onl by other expert researchers (rules out novices).  Evidence-based practice is left out entirely.  In nursing research, the author emphasized the importance of accessible research to practioiners such that they can be absolutely certain of its validity.\n\n\nAuthor discusses the different approaches to validity. Ie., Sparkes claims that qualitative research cannot have validity, thus must estabilish trustworthiness (Lincoln and Guba)  Guba's perspective makes it impossible to build coherence among research, and nursing practice cannot move forward.  Realist approach is the only way to go.  Use the method as a way to judge validity, not the indivudual studies.\n\n\nPawson 2003.  uses TAPUPAS acronym\n\nTransparancy: Is process open to outside scrutiny\n\nAccuracy: are claims made based on relevant and appropriate information\n\nPurposivity: are methods used fit for purpose\n\n\nSpecificity: does the knowledge generated reserach source-specific standards?\n\n\nUtility: are the knowledge claims approriate to the needs of the practioner\n\n\nPropriety: has the research been conducted ethically and legally\n\n\nAccessibility: is th research presetned in a style that is accessible to the practioner",
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            "extra": "This article introduces those in marketing research to the advantages of realism in research in marketing and business.  A few interesting findings emerge as the authors argue their case.  To begin with, business research relies and assumes replicablity.  The authors clearly demonstrate that faith that positivists ontologies produce replicable, reliable results is misplaced.  This research may be illuminating to educational researchers because in business (as is often the case in education) \"there seems to be a gulf between academics who usually work from the positivism paradigm and practitioners.\" (1197)\n\nAs for constructivist ontologies, the authors make the point that when it comes to business reserach, \"constructivism and critical theory are not especially relevant in research about an organisation having to survive within a market, because marketing managers\nhave to deal with a world that is external, that is out there and that does not particularly care about the perceptions of an individual manager.\"(1199)\n\nWIth the need established, the authors go on to illustrate how realism is used to design a social science research study.  The begin with\n\n1) \"Prior Theory\":  \"realism researchers enter the field with prior theories. In contrast, grounded theory researchers, for example, gradually construct a theory from interacting with their own accumulating data, without any inputs from other people’s theories in the literature.\" (1201)\n\n2) Triangulation: which the authors distinguish as not necessarily being code for \"mixed method\".\n\n3) Replication: The authors include examples from business studies that illustrate this design principle. \nThe authors go on to discuss qualitative data analysis, and the character it takes in a realism-based ontology. The authors end with a note about data display, with a mild argument against software-aided analysis and display.",
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            "note": "<p>This article introduces those in marketing research to the advantages of realism in research in marketing and business.  A few interesting findings emerge as the authors argue their case.  To begin with, business research relies and assumes replicablity.  The authors clearly demonstrate that faith that positivists ontologies produce replicable, reliable results is misplaced.  This research may be illuminating to educational researchers because in business (as is often the case in education) \"there seems to be a gulf between academics who usually work from the positivism paradigm and practitioners.\" (1197)</p>\n<p>As for constructivist ontologies, the authors make the point that when it comes to business reserach, \"constructivism and critical theory are not especially relevant in research about an organisation having to survive within a market, because marketing managers<br />have to deal with a world that is external, that is out there and that does not particularly care about the perceptions of an individual manager.\"(1199)</p>\n<p>WIth the need established, the authors go on to illustrate how realism is used to design a social science research study.  The begin with</p>\n<p>1) \"Prior Theory\":  \"realism researchers enter the field with prior theories. In contrast, grounded theory researchers, for example, gradually construct a theory from interacting with their own accumulating data, without any inputs from other people’s theories in the literature.\" (1201)</p>\n<p>2) Triangulation: which the authors distinguish as not necessarily being code for \"mixed method\".</p>\n<p>3) Replication: The authors include examples from business studies that illustrate this design principle.</p>\n<p>The authors go on to discuss qualitative data analysis, and the character it takes in a realism-based ontology. The authors end with a note about data display, with a mild argument against software-aided analysis and display.</p>",
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