Presentation on theme: "Jacobsen, D. M. Complementary Research Methods Michele Jacobsen, PhD Postdoctoral Fellow, SERN University of Calgary"— Presentation transcript:
Jacobsen, D. M. Complementary Research Methods Michele Jacobsen, PhD Postdoctoral Fellow, SERN University of Calgary
Jacobsen, D. M. Overview Outline relative merits of Triangulation - the integration of both qualitative and quantitative research methodologies Review a variety of research methods: –Experimental design, ethnography, case study, survey methods. Discuss Nowaczyk and Underwood’s (1995) paper.
Jacobsen, D. M. Fundamental Goals... Of Science: –To Understand, To Predict, To Control Of Scientists: –To communicate discoveries and findings to a community of peers
Jacobsen, D. M. Designing Research Dimensions of Analysis Research Purposes - theoretical or applied? Research Problems - what questions are asked? Research Settings - simulated or natural? Research Investigators - background and training Research Methods - a continuum –Experimental, Ethnography, Case study, Survey
Jacobsen, D. M. Evaluating Research Validity –A concern for most social scientists is the complex nature of the phenomena under study: human behavior. –Multiple perspectives are required in order to adequately reflect the richness of these complexities. Reliability –Consistency, Replicability Usefulness or Value of Investigation –Contribution to knowledge –Advance THEORY and PRACTICE in discipline
Jacobsen, D. M. Research Methodologies A continuum rather than “either/or” Qualitative –Goal: To Understand, Predict Descriptive accounts Similarities and Contrasts –Applied and Theoretical –Research Questions –Field study Natural conditions Quantitative –Goal: To Predict and Control Measure and Evaluate Generalize to population, reproduction –Basic and Theoretical –Hypothesis testing –Lab study Controlled, contrived
Jacobsen, D. M. Validity and Reliability Both Quantitative and Qualitative research designs seek reliable and valid results. For example: –Quantitative Reliability: Data that are consistent or stable as indicated by the researcher's ability to replicate the findings. –Qualitative: Validity of findings are paramount so that data are representative of a true and full picture of constructs under investigation.
Jacobsen, D. M. Part Versus Whole “Whole” is often greater than “Parts” It is a non-trivial matter to infer the behavior of the whole from the behavior of its parts –Quantitative research designs strive to identify and isolate specific variables within the context (seeking correlation, relationships, causality) of the study. –Qualitative design focuses on a holistic view of what is being studied (via documents, case histories, observations and interviews).
Jacobsen, D. M. Data Collection Quantitative –Emphasis on numerical data, measurable variables –Data is collected under controlled conditions in order to rule out the possibility that variables other than the one under study can account for the relationships identified Qualitative –Emphasis on observation and interpretation. –Data are collected within the context of their natural occurrence.
Jacobsen, D. M. Static and Dynamic Quantitative –The accumulation of facts and causes of behavior through careful isolation, measurement and evaluation of variables. –Predictability and Control over time. Qualitative –Concerned with the changing and dynamic nature of reality. –Understanding a Point in time
Jacobsen, D. M. Triangulation Combines independent yet complementary research methods. –Simultaneous triangulation: Use of both qualitative and quantitative methods at the same time e.g., Survey methods and Case study –Sequential triangulation: Results of one method are essential for planning the next method e.g., Exploratory Pilot study precedes Experimental design Also known as “mixed methods”
Jacobsen, D. M. Benefits of Triangulation Advantages of each complement the other –resulting in a stronger research design, and –more valid and reliable findings. Inadequacies of individual methods are minimized –threats to Internal Validity are realized and addressed Example –Quantitative design strives to control for bias so that facts, instances, phenomena can be understood in an objective way. –Qualitative approach strives to understand the perspective of participants or a situation by looking at firsthand experience to provide meaningful data.
Jacobsen, D. M. Additional Benefits Triangulation offers a balance between logic and stories. Qualititative research, which emphasizes exploration, understanding, contextualizing, introspection, and theory construction, provides a strong base for wider quantitative measures, scaling, and generalization. Quantitative research, which emphasizes large samples, can provide an overview of an area that can reveal patterns, inconsistencies, and so forth, that can be further investigated with qualitative methods.
Jacobsen, D. M. Effectiveness of Triangulation In order for Triangulation to be used effectively, four principles must be adhered to: –1. research question(s) must be clearly focused; –2. strengths and weaknesses of each chosen method must complement each other; –3. data collection methods should be selected according to their relevance to the nature of the phenomenon being studied; –4. a continual evaluation of the approach should be under-taken during the study. Corner (1990)
Jacobsen, D. M. Range of Research Methods Experimental design Ethnography Case study Survey
Jacobsen, D. M. Experimental Design Hypothesis testing Independent and Dependent Variables –For example - Predictor: method of instruction, Resulting differences: math performance Sampling of Population Experimental and Controlled Conditions Random assignment
Jacobsen, D. M. Experimental Research The researcher does something to the subjects or objects or research, and then attempts to determine the effects of these actions Reporting –Careful description of sampling procedure –Inferential statistics, effect size, and so on.
Jacobsen, D. M. Ethnography Defined: a picture of the “way of life” of some identifiable group of people Anthropology - “doing fieldwork”, “going native” Preoccupied with culture, and how people interact with each other Qualitative Methodology - Both a research process and a product –Outcome: an ethnographic account
Jacobsen, D. M. Ethnographic Process The ethnographer is the primary research instrument One year or more in the field setting –long enough to see a full cycle of activity –For example, a full school year Tension and balance between involvement and detachment –Outsider’s broad and analytical perspective on group studied –Insider view, familiarity, empathy, identification with group
Jacobsen, D. M. Field Research Techniques An Inquiry Process of multiple methods: –Participant observation privileged, active participant passive observer –Interviewing key informants, structured, unstructured groups, surveys and questionnaires –Making and using records historical documents, archives, written records
Jacobsen, D. M. Validity and Reliability of the Ethnographic Account “The satisfactoriness of the explanation is what counts, not the power of the method for deriving it”. Significance is derived socially, not statistically
Jacobsen, D. M. Case Study Understanding the intricate complexity, idiosyncrasy of one particular case –investigation of a “bounded system” –Some entity deemed worthy of close watch a single child, a single classroom, a single school, a single national program… Goals –Understand and report the uniqueness of individual cases (both commonalities and differences) –Usually no attempt to represent case by single or multiple “scores”
Jacobsen, D. M. Case Study Methods Similar to ethnographic field methods –ASKING - Interviews Gather narrative and testimony –WATCHING - Observations –SEARCHING - Written records and artifacts Reporting –Develop a conceptual structure, look for patterns, consistencies, repetitions, and manifestations pertinent to your research question(s)
Jacobsen, D. M. Validity and Reliability There are many different stories to be told –Different researchers have different questions to answer, different conceptualizations of the situation, and set different boundaries for the case Generalizability: What is true of one case is often true about other cases –Consistencies can be found - predictability –How many cases are needed before patterns emerge? It depends...
Jacobsen, D. M. Survey Research Methods Purpose and Goal –Describe specific characteristics of a large group of persons, objects, or institutions –Understand present conditions, rather than the effects of particular intervention (as in experimental research) Sample of Population –Groups of interest are well defined and chosen using well defined rules –Representativeness
Jacobsen, D. M. Survey Methods Mail –postage and printing costs, participation rate Telephone –sampling, wage and time costs, participation rates Face-to-Face –wage and time costs, participation rates, like structured interview Web-based –anytime, anywhere, cost effective
Jacobsen, D. M. Issues in Survey Construction Item (question) and scale construction Pilot Testing and revision Sampling procedures Analysis and reporting of results Generalizability –Drawing conclusions about the conditions, attitudes, opinions, or status of a population of persons, objects, institutions, or other entities.
Jacobsen, D. M. Nowaczyk and Underwood (1995) "Possible Indicators of Research Quality for Colleges and Universities" –Used qualitative method, “focus group”, to investigate research quality in higher education
Jacobsen, D. M. Results Academics promoted the use of both quantitative and qualitative measures to report on “quality” –QUANTITY OF: Journal publications, conference presentations, books and book chapters, awards, grants, budget, and so on… –QUALITY OF: Reputation of publication, reputation of granting agency, quality of conference, peer reviews of research programs,… Quality of institutions that hire graduate students Societal benefit of research
Jacobsen, D. M. Resources Jaeger, R. M. (1997). Complementary Research Methods for Research in Education, (2nd ed). American Educational Research Association: Washington, DC. Edyburn, D. L. (1998). The Electronic Scholar: Enhancing Research Productivity with Technology. Prentice-Hall: Columbus, OH. Nowaczyk, R. H., & Underwood, D. G. (1995). Possible indicators of research quality for colleges and universities. Education Policy Analysis Archives, 3(20). [On-line]. Available: Bowen, K. A. (1996). The Sin of Omission -Punishable by Death to Internal Validity: An Argument for Integration of Qualitative and Quantitative Research Methods to Strengthen Internal Validity. [On-line]. Available: