Editorial Reviews. Review. "Like previous editions, this offers the most comprehensive analysis in a single volume of the theories, techniques, and foundational. Asian Journal of Social Psychology (), 10, – DOI: /j Xx BOOK REVIEW The Sage Handbook of Qualitative Research . history of qualitative research in the social sciences, as this could easily . cal handbooks on “qualitative research.” Wolcott's memories seem portal7.info Packer, M. (). The Science of Qualitative Research. Cambridge.
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The Landscape of Qualitative Research: Theories and Issues (Handbook of Qualitative Research Paperback Edition, Vol 1). Read more. AND ANALYSIS METHODS u Gery W. Ryan and H. Russell Bernard u Texts Are Us. This chapter is about methods for managing and analyzing qualitative data. Printed in the United States of America. Library of Congress Cataloging-in- Publication Data. The Sage encyclopedia of qualitative research methods / editor .
The Sociological Imagination. Punch, M. Politics and Ethics in Qualitative Research. In Denzin, N. Handbook of Qualitative Research. Thousand Oaks: Sage, pp. Guba, E.
Even after careful reading, inexperienced works of well-known Asian scholars, such as Yang Kuo researchers would still be at a loss on how to conduct Shu, Virgilio Enriquez, Uichol Kim, Durganand Sinha, and postmodern interviewing.
This raises the question of disingenuousness among contributors to the Handbook who proclaim their opposi- Poor quality of writing tion to Euro-American hegemony and solidarity with the developing world.
Asian social psychologists, besides Unfortunately, we find little evidence that the latest edition being put off by its Eurocentrism, would find the volume has benefited from these criticisms.
To these we must add mostly irrelevant to their interests. The book is far too big: Many chapters may be reduced in length, say, by half, without loss of substance; citations of tangential relevance should be eliminated.
The Antiscience and antireason quality of writing leaves much to be desired. Verbosity often gets in the way of readability. Citing various authors, Denzin and scholarly, purpose. Common sense ideas are often couched Lincoln a single out the scientifically based research in arcane, abstruse, grandiose constructs. There is an abundance of theorists, but a Popkewitz, , p. It is ironic to witness the dearth of practitioners; a preponderance of assertions, but unreflexive authority with which such assertions are made.
Other emotive, accusative statements dot the volume. Too often, arguments against positive Writers and poets do not have to be bedevilled by theories science commit the strawman fallacy, or are based on erro- of literary criticism. Perhaps qualitative researchers may be neous understandings of what it is.
Only when we confront Closely allied with such antiscience is the tendentious- the issues raised in the present review can quality be ness against quantification, even measurement. Denzin and restored to qualitative research. In contrast, quantitative studies emphasize the measurement and analy- Denzin, N. Introduction: The disci- sis of causal relationships between variables, not processes.
In: N. Proponents of such studies claim that their work is done S. Lincoln, eds. The Sage Handbook of Qualitative Research, within a value-free framework.
Thousand Oaks, CA: Sage. Denzin, N. The Sage Handbook To dichotomize the qualitative and the quantitative in this of Qualitative Research, 3rd edn. Quantitative studies may be only descrip- Fine, M.
Compositional studies, in two parts: tive, with no claim to inferential or causal analysis. Not all Critical theorizing and analysis on social in justice. The Sage Handbook of Qualita- value free. We are simply astounded at why such misleading tive Research, 3rd edn, pp. Fontana, A. The interview. Denzin statements still find their way in the third edition.
The Sage Handbook of Qualitative Another issue closely allied with antiscience concerns Research, 3rd edn, pp. Dialectical thinking: Neither Eastern nor methodological maturity. Not surprisingly, opposition to it Western. American Psychologist, 55, — Investigative structural, and postmodern schools of thought. The Hand- research as a knowledge-generation method: Discovering and book authors seem to believe that qualitative research is uncovering. For example, a rating scale or closed questions on a questionnaire would generate quantitative data as these produce either numerical data or data that can be put into categories e.
Experimental methods limit the possible ways in which a research participant can react to and express appropriate social behavior.
Findings are therefore likely to be context-bound and simply a reflection of the assumptions which the researcher brings to the investigation.
Data Analysis Statistics help us turn quantitative data into useful information to help with decision making. We can use statistics to summarise our data, describing patterns, relationships, and connections.
Statistics can be descriptive or inferential. Descriptive statistics help us to summarise our data whereas inferential statistics are used to identify statistically significant differences between groups of data such as intervention and control groups in a randomised control study.
Key Features Quantitative researchers try to control extraneous variables by conducting their studies in the lab. The research aims for objectivity i. The design of the study is determined before it begins.
For the quantitative researcher reality is objective and exist separately to the researcher, and is capable of being seen by anyone. Limitations Context: Quantitative experiments do not take place in natural settings. In addition, they do not allow participants to explain their choices or the meaning of the questions may have for those participants Carr, Researcher expertise: Poor knowledge of the application of statistical analysis may negatively affect analysis and subsequent interpretation Black, Variability of data quantity: Large sample sizes are needed for more accurate analysis.
Small scale quantitative studies may be less reliable because of the low quantity of data Denscombe, This also affects the ability to generalize study findings to wider populations.
Confirmation bias: The researcher might miss observing phenomena because of focus on theory or hypothesis testing rather than on the theory of hypothesis generation. Strengths Scientific objectivity: Quantitative data can be interpreted with statistical analysis, and since statistics are based on the principles of mathematics, the quantitative approach is viewed as scientifically objective, and rational Carr, ; Denscombe, Useful for testing and validating already constructed theories.
Rapid analysis: Sophisticated software removes much of the need for prolonged data analysis, especially with large volumes of data involved Antonius, Replication: Quantitative data is based on measured values and can be checked by others because numerical data is less open to ambiguities of interpretation.
Hypotheses can also be tested because of the used of statistical analysis Antonius, Interpreting quantitative data with SPSS.
Black, T. Doing quantitative research in the social sciences: An integrated approach to research design, measurement and statistics. Braun, V. Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77— Carr, L.
The strengths and weaknesses of quantitative and qualitative research : what method for nursing?. Journal of advanced nursing, 20 4 , Denscombe, M. The Good Research Guide: for small-scale social research.
McGraw Hill. Denzin, N. Handbook of Qualitative Research. Glaser, B. The discovery of grounded theory; strategies for qualitative research. Nursing research, 17 4 , Minichiello, V. In-Depth Interviewing: Researching People. Longman Cheshire.