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Introduction to Quantitative Research

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Introduction to Quantitative Research Quantitative Research Correct Answer: - 4 types of Quan. res. - descriptive -correlational -quasi-experimental -experimental ------- Sir Ronald Fisher... - added structure and control to the steps of the Quan. Res. process to decrease potential for error and improve accuracy of study findings. - many quan. res. approaches and designs are essential to dev. body of knowledge needed for evidence-based practice. -Homogenity is important in all quantitative designs --logistic reasoning and deductive reasoning are essential to dev. of quantitative res. research process Correct Answer: steps are critically examined and reexamined for errors and weakness in areas such as design, intervention development and implementation, measurement, sampling , statistical analysis, and generalization. Purpose of Research Design Correct Answer: - quantitative research - provides the plan or the blueprint -is vehicle for systematically testing research questions and hypo. -provides structure for maintaining control in the study -design concepts guide researcher in dev. and conducting research. -All research attempts to answer questions - design coupled with methods & analysis = mechanism for finding solutions to research questions or hypo. -res. chooses design to maximize degree of control, fidelity or uniformity over tested variables. - to provide master plan for study. Rigor Correct Answer: striving for excellence in research and involves discipline, scrupulous adherence to detail and strict accuracy. --rigor=precision ---found in concise statement of res. purpose, detailed dev. of study design and formulation of explicit tx protocols. -another aspect of rigor is precision- most explicit use of precision is evident in measurement of study variables. (measurement involves objectively experiencing real world through senses, sight , hearing, touch, taste and smell. precision Correct Answer: - type of sampling method used and how subjects assigned to research conditions affects generalizability to other groups, external validity. Control -important in all designs Correct Answer: measures that the researcher uses to hold the conditions of study uniform and avoid possible potential of bias on dependent variable or outcome variable. -control measures help to avoid bias or threats to internal validity of study. - statistical principles behind the forms of control. -important not only to access quality of study but also application to a practice that is evidence based. -control is maximized by well-planned study that considers each step of the research process and potential threats to internal and external validity. elements of control & fidelity differ based on type of design -control = accomplished by ruling out extraneous or mediating variable that compete with independent variable as an explanation for study's outcome. -critical component of control is constancy in data-collection. three means of control- homogeneous,constancy and manipulation -all aspects of control are strictly applied to experimental design studies --affects outcome of study and also its future use --res. imposes rules to decrease poss. of error and increases prob. that study findings are accurate reflection of reality. -rules to achieve control are referred to as design` [Show More]

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