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CHAPTER ONE: INTRODUCTION TO ACTION RESEARCH CONNECTING THEORY TO PRACTICE IMPROVING EDUCATIONAL PRACTICE EMPOWERING TEACHERS
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RESEARCH TERMS: TEAM I Qualitative Research Quantitative Research Experimental Research Variable Correlation Non-experimental Research
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RESEARCH TERMS: TEAM II Systematic Observation Dependent Variable Independent Variable Control Group Action Research Narrative Data Numerical Data
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TRADITIONAL EDUCATIONAL RESEARCH: Seeks answers through scientific method. Uses qualitative (inductive) and quantitative (deductive) methods.
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TRADITIONAL RESEARCH: Uses experimental and non-experimental design. Mixed-methods research designs.
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TRADITIONAL EDUCATIONAL RESEARCH: Clarify the main question inherent in the problem. State a hypothesis (possible answer to the question).
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TRADITIONAL EDUCATIONAL RESEARCH Collect, analyze and interpret information related to the question, that will permit you to answer the question. Use the conclusion to verify or reject the hypothesis.
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QUANTITATIVE RESEARCH: COLLECTION & ANALYSIS OF NUMERICAL DATA Deductive TheoryHypothesisDataConfirmation
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QUALITATIVE RESEARCH: COLLECTION AND ANALYSIS OF NARRATIVE DATA Inductive ObservationsPatterns Tentative Hypothesis Theory
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QUANTITATIVE RESEARCH: NUMERICAL DATA Test scores, opinion ratings, attitude scales. Goal: to describe or otherwise understand educational phenomena. Data collected by measuring variables (factors that may affect outcome of study).
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QUANTITATIVE RESEARCH: NUMERICAL DATA Data analyzed to test hypotheses: Ex: Are there differences in rates of disciplinary problems and absenteeism in schools with K-8 span over K-6?
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QUALITATIVE RESEARCH: NARRATIVE DATA Begins with specific observations and concludes with generalizations and theories. Formulates one or more tentative hypotheses or theories. “Grounded Theory”.
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QUALITATIVE RESEARCH: NARRATIVE DATA May also have purpose of providing 'thick description' of what is going on. Ex: What behavior patterns can be discerned by observing second-graders during recess?
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EXPERIMENTAL RESEARCH: (QUANTITATIVE): MANIPULATION OF VARIABLES Independent Variables: Variables manipulated by researcher. Researcher decides which subjects receive 'condition'. Ex: Effectiveness of new math program.
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EXPERIMENTAL RESEARCH: (QUANTITATIVE): MANIPULATION OF VARIABLES Control Group / Non-Control Group Dependent Variable: Results 'depend' on which group they are in. Ex: Math achievement (varies by group).
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NON-EXPERIMENTAL RESEARCH: NO DIRECT CONTROL OVER VARIABLES Variables cannot be manipulated or controlled by the researched. Ex: Absentee Study. Number of discipline referrals cannot be controlled by researcher. Conclusions describe variables or relationships between variables.
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NON-EXPERIMENTAL RESEARCH: NO DIRECT CONTROL OVER VARIABLES Ex: Absentee Study. Number of discipline referrals cannot be controlled by researcher. Conclusions describe variables or relationships between variables.
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DATA COLLECTION: QUANTITATIVE STUDIES: ORGANIZING NUMERICAL DATA Descriptive Statistics: summarize, organize and simplify data. Ex: mean, median, mode, range, standard deviation, correlations, standardized scores. Inferential Statistics: test statistical significance of degree of 'correlation' between two or more variables.
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DATA COLLECTION - QUANTITATIVE STUDIES: ORGANIZING NUMERICAL DATA Statistical significance: A decision made from looking at statistical data that enables researchers to verify whether findings of the study are significant -- (are variables influential enough to make a meaningful difference in the populations studied?). Ex: Backward/forward History Method Indep Variable: Type of teaching method
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EXAMPLE: QUANTITATIVE STUDY BACKWARD/FORWARD HISTORY METHODS? Random Assignment of Students: 1/2 'backward', 1/2 'forward'. Independent Variable: (what is changed?) Type of Instruction given. Dependent Variable: (outcome/result) Academic Performance.
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QUANTITATIVE STUDY: HISTORY TEACHING METHODS Experimental Group: Receives 'backward' Control Group: Receives 'traditional'.
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DATA COLLECTION -- QUALITATIVE STUDIES: ORGANIZING NARRATIVE DATA No attempt to control or manipulate variables. World is studied 'as is'. Triangulation: multiple sources of data to strengthen findings, account for biases. Phenomenological Studies Interviews. (ex: compassionate teachers possess what qualities?)
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DATA COLLECTION: QUALITATIVE STUDIES Ethnographic Research: observation of social interactions in group settings. (ex: Nature of school culture at Washington High School?).
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DATA COLLECTION -- QUALITATIVE STUDIES: ORGANIZING NARRATIVE DATA Grounded Theory: attempt to discover a theory that relates to a particular environment (ex: What types of school characteristics motivate teachers?)
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DATA COLLECTION -- QUALITATIVE STUDIES: ORGANIZING NARRATIVE DATA Case Studies: In-depth studies of individual program, activities, people, groups. (ex: What is nature of school culture at Washington High School?)
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DATA COLLECTION -- QUALITATIVE STUDIES: ORGANIZING NARRATIVE DATA Logico-inductive Analysis: Qualitative data are analyzed using a thorough process of logic to make sense of patterns and trends in the data. Coding: Method for ‘marking’ or indicating patterns in data.
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OTHER RESEARCH DESIGN: Mixed-method Research Design: uses both qualitative and quantitative processes.
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Action Research: Address local-level issues / find solutions: Riel’s Model Planning Stage Take Action Collect and Analyze Evidence Reflect Continue the Cycle
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OTHER ACTION RESEARCH MODELS: Stringer’s Action Research Interacting Spiral Look – Think – Act (repeat). Lewin’s Action Research Spiral Identify Topic – Fact- Finding – Planning – Action Step – Evaluate – Amend Plan – Action Step – Evaluate, etc. Calhoun’s Action Research Cycle Select Area – Collect Data – Organize Data – Analyze and Interpret Data – Take Action. Bachman’s Action Research Spiral Plan – Act and Observe – Reflect – Revised Plan – Act & Observe, etc.
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ACTION RESEARCH: WHY DO ACTION RESEARCH? Deals w/ local issues, not general ones. You can start now! Provides educators w/ opportunities to understand and improve their educational practices.
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ACTION RESEARCH: WHY DO ACTION RESEARCH? Promotes stronger collegial relationships. Provides alternate ways of viewing and approaching educational questions/problems. New ways of examining practice.
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IMPORTANCE OF ACTION RESEARCH: Connecting Theory to Practice Improvement of Educational Practice Teachers as Decision-makers Professional Growth
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IMPORTANCE OF ACTION RESEARCH: Identifying Problems/Focus in School Setting Developing and Testing Solutions Strengthening Pre-service Teacher Education On-going Professional Development
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REFLECTION I: 'ME' AND RESEARCH Complete ‘Pre- Survey’. Introductory Paragraph about yourself. Educational Background? Etc.? Any additional comments on: How you feel about research, past experience, questions, fears, enthusiasms. Areas of Interest: Is there an area in which you might want to conduct Action Research? 1-2 pages. Submit on Canvas.
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SOURCES: 1) Mertler, C. A. (2012). Improving schools and empowering teachers, 4th ed. Los Angeles: Sage Publishers, 1 - 34.
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