QUANTITATIVE RESEARCH METHODS

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QUANTITATIVE RESEARCH METHODS EDUC 8017 QUANTITATIVE RESEARCH METHODS

WELCOME - INTRODUCTIONS EXPECTATIONS CLASS PARTICIPATION ASSIGNMENTS/ACTIVITIES PROJECT PRESENTATIONS QUESTIONS ABOUT RESEARCH METHODS EXPERIENCE WITH RESEARCH HANDOUTS – Web Connections SYLLABUS LECTURE/DISCUSSION/ACTIVITIES RESEARCH ARTICLE ASSIGNMENT

Research Principles Science is forever - the answers are tentative The problem “drives” the research strategy It is impossible to eliminate error - the goal is to reduce, minimize, control and identify error and its sources Measure to the highest level appropriate

Principles (cont) The rigors of science apply to both qualitative and quantitative approaches Use the fewest variables to account for the largest portion of the variance Representative sampling is a problem only when drawing inferences Analysis strategy fits the size of the study Use the appropriate statistic for the problem/data

Overview of Research CASUAL OR SYSTEMATIC INQUIRY ERRORS CONTROLS RESEARCH GOALS DESCRIBE UNDERSTAND PREDICT FOUNDATIONS OF SOCIAL SCIENCE THEORY RESEARCH METHODS STATISTICS LANGUAGE OF RESEARCH CONCEPTS VARIABLES ATTRIBUTES THEORY & RESEARCH PARADIGMS STRUCTURE OF THEORY TERMS REALITY OBJECTIVITY SUBJECTIVITY OBSERVATION FACT LAW PROPOSITION HYPOTHESES RESEARCH DIALECTIC (LOGICAL SYSTEMS) DEDUCTION - INDUCTION IDIOGRAPHIC – NOMOTHETIC (single instance) (class of conditions) QUALITATIVE - QUANTITATIVE

Orienting Questions Why do we pay attention to research methods? What do we attempt to accomplish be being systematic about our inquiry? What is error? What is control? What factors are involved in deciding what the research design will look like for a project? What is measurement? What factors are important when considering the measurement of a concept?

Orienting Questions (cont) What is sampling? What factors are involved in the developing a sampling strategy? How do we determine sample size? What are the strengths/limitations of the alternative research designs? What can we say about the products of each of the alternative research designs? What are the factors that are important in distinguishing between data, the description of data, and the interpretation of data?

Orienting Questions (cont) What are the factors that are important in “preparing” data for analyses? Why do we use statistics? What factors are used to determine which statistic(s) to use? What are the different types of statistics? What are the important principles that apply to inferential statistics? What is/are the (a) advantages, (b) limitations, information value of the output when using any design, measurement technique, data preparation format, data display format or statistic

Science Cycle

Science Cycle - Dimensions

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