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Books on the topic 'Interpretive research design'

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1

Interpretive description. Walnut Creek, CA: Left Coast Press, 2008.

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2

Dvora, Yanow, ed. Interpretive research design: Concepts and processes. New York, NY: Routledge, 2011.

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3

Conducting interpretive policy analysis / Dvora Yanow. Thousand Oaks, Calif: Sage Publications, 2000.

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4

Paul, Flowers, and Larkin Michael 1971-, eds. Interpretative phenomenological analysis: Theory, method and research. Los Angeles: SAGE, 2009.

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5

Interpreting epidemiologic evidence: Strategies for study design and analysis. Oxford: Oxford University Press, 2003.

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6

Andersson, Oivind. Experiment!: Planning, implementing, and interpreting. Hoboken, NJ: Wiley, 2012.

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7

Interpreting the medical literature. 3rd ed. New York: McGraw-Hill, Health Professions Division, 1993.

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8

Interpreting the medical literature. 4th ed. New York: McGraw-Hill, Medical Pub. Division, 2002.

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9

Gehlbach, Stephen H. Interpreting the medical literature. 4th ed. New York: McGraw-Hill, Medical Pub. Division, 2002.

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10

Interpreting the medical literature. 5th ed. New York: McGraw-Hill, Medical Pub. Division, 2006.

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11

Interpreting the medical literature: Practical epidemiology for clinicians. 2nd ed. New York: Macmillan, 1988.

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12

Schwartz-Shea, Peregrine. Interpretive Research Design. Routledge, 2013. http://dx.doi.org/10.4324/9780203854907.

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13

Applied plant science experimental design and statistical analysis using the SAS® OnDemand for Academics. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249927.0000.

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Abstract The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analyzing and interpreting research can be overwhelming. Statistical Analysis System (SAS®) is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic insttutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book contains 21 chapters that covers experimental designs and data analysis protocols; is presented as a how-to guide with many examples; includes freely downloadable data sets; and examines key topics such as ANOVA, mean separation, non-parametric analysis and linear regression.
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14

Gehlbach, Stephen H. Interpreting the Medical Literature. 4th ed. McGraw-Hill/Appleton & Lange, 2002.

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15

Kwame Harrison, Anthony. Ethnography. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199371785.001.0001.

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Ethnography (Understanding Qualitative Research) provides a comprehensive guide to understanding, conceptualizing, and critically assessing ethnographic research and its resultant texts. Through a series of discussions and illustrations, utilizing both classic and contemporary examples, the book highlights distinct features of ethnography as both a research methodology and a writing tradition. It emphasizes the importance of training—including familiarity with culture as an anthropologically derived concept and critical awareness of the history of ethnography. To this end, it introduces the notion of ethnographic comportment, which serves as a standard for engaging and gauging ethnography. Indeed, ethnographic comportment issues from a familiarity with ethnography’s problematic past and inspires a disposition of accountability for one’s role in advancing ethnographic practices. Following an introductory chapter outlining the emergence and character of ethnography as a professionalized field, subsequent chapters conceptualize ethnographic research design, consider the practices of representing research methodologies, discuss the crafting of accurate and evocative ethnographic texts, and explain the different ways in which research and writing gets evaluated. While foregrounding interpretive and literary qualities that have gained prominence since the late twentieth century, the book properly situates ethnography at the nexus of the social sciences and the humanities. Ethnography (Understanding Qualitative Research) presents novice ethnographers with clear examples and illustrations of how to go about conducting, analyzing, and representing their research; its primary purpose, however, is to introduce readers to effective practices for understanding and evaluating the quality of ethnography.
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16

Box-Steffensmeier, Janet M., Henry E. Brady, and David Collier, eds. The Oxford Handbook of Political Methodology. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.001.0001.

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The Oxford Handbook of Political Methodology is designed to reflect developments of all the key specific methodologies through comprehensive overviews and critiques. Political methodology has changed dramatically in the past thirty years. Not only have new methods and techniques been developed, but the Political Methodology Society and the Qualitative Methods Section of the American Political Science Association have engaged in on-going research and training programs that have advanced both quantitative and qualitative methodology. This Handbook emphasises three things. First, techniques should be the servants of improved data collection, measurement, conceptualization, and the understanding of meanings and the identification of causal relationship in social science research. Techniques are described with the aim of showing how they contribute to these tasks, and the emphasis is upon developing good research designs — not upon simply using sophisticated techniques. Second, there are many different ways that these tasks can be undertaken in the social sciences through description and modelling, case-study and large-n designs, and quantitative and qualitative research. Third, techniques can cut across boundaries and be useful for many different kinds of researchers. The articles ask how these methods can be used by, or at least inform, the work of those outside those areas where they are usually employed. For example, scholars describing large-n statistical techniques should ask how their methods might at least inform, if not sometimes be adopted by, those doing case studies or interpretive work, and those explaining how to do comparative historical work or process tracing should explain how it could inform those doing time-series studies.
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17

Marinari, Angela. Restorative Justice for Survivors of Sexual Abuse. Policy Press, 2020. http://dx.doi.org/10.1332/policypress/9781447357933.001.0001.

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This book explores survivors’ experiences of sexual abuse, and their reflections on the sense of justice they feel, in order to inform the design of a programme of restorative justice services. By asking – does it have to be with the abuser? - this empirical research examines whether survivors of sexual abuse may wish to have a restorative justice process with those who cause them harm, other than their abusers – that is, with those who enable their abuse or the impact of it. This is an interpretive phenomenological analysis (IPA), and extensive quotes from survivors are presented within the text. Three theoretical insights are reported: the complex, triangulated relationships of sexual abuse; the need for the act and the impact of abuse to be recognised and validated by others; and the role of narrative in survivors’ journey towards justice and healing, and how these are strengthened or challenged through the cycle of narrative development. Through an analytical commentary, these insights show how restorative justice processes with enablers of abuse may benefit survivors, as well as providing general information about sexual abuse, and combine to present the pyramid programme of restorative justice for survivors of sexual abuse. Best practice guidelines for the implementation of the programme are included. The book concludes by exploring what these radical propositions may mean for survivors, practitioners, and academics.
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18

Uysal, Suzan, and David L. Reich. Assessment of Postoperative Cognitive Decline. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0007.

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Neurocognitive outcome studies are a potentially rich source of information for evidence-based approaches to neuroprotection. This chapter provides a critical examination of assessment methods for studying postoperative cognitive decline (POCD), with regard to definition of the phenomenon, the role of hypotheses regarding mechanisms and localization of neural injury, and psychometric considerations for the design of POCD assessment protocols. It also describes an approach to conducting clinical neuropsychological assessments outside of research contexts for patients who present with signs or symptoms of POCD when there are no preoperative baseline cognitive test data. The authors propose a set of guidelines for designing, conducting, interpreting, and evaluating cognitive outcome studies in surgical patients and performing clinical POCD assessments.
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19

Orero, Pilar, Carmen Mangiron, and Minako O'Hagan. Fun for All: Translation and Accessibility Practices in Video Games. Lang AG International Academic Publishers, Peter, 2014.

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20

Orero, Pilar, Carmen Mangiron, and Minako O'Hagan. Fun for All: Translation and Accessibility Practices in Video Games. Lang AG International Academic Publishers, Peter, 2014.

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21

Orero, Pilar, Carmen Mangiron, and Minako O'Hagan. Fun for All: Translation and Accessibility Practices in Video Games. Lang AG International Academic Publishers, Peter, 2014.

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22

Orero, Pilar, Carmen Mangiron, and Minako O'Hagan. Fun for All: Translation and Accessibility Practices in Video Games. Lang AG International Academic Publishers, Peter, 2014.

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23

Game localization : translating for the global digital entertainment industry. John Benjamins Publishing Company, 2013.

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