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Essential for development of EBP Most common type of research Objective approach Test relationships between variables or answer research questions Determine difference between variables or groups, or effectiveness of treatment Explain cause-and-effect relationships Theory testing |
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Steps of quantitative research process |
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Definition
Identify research problem Conduct literature review Identify or develop theoretical framework Formulate research questions/hypotheses Select research design Define population and sample Implement study and collect data Analyze data Interpret data and draw conclusions Disseminate findings Generate further research |
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Content of research report |
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Abstract Introduction Methods Results Discussion References |
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Concepts in quantitative research |
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Basic research Applied research Rigor Control Extraneous variables Sampling |
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Basic: -Research for the sake of research -Research to find out the truth -Investigating "what if" |
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-Attempts to solve real problems in clinical practice -Concerns what effects the intervention may have on patients -Applies findings in the real world on real patients |
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Striving for excellence in research and adherence to detail Precise measuring tools, a representative sample, and a tightly controlled study design Logical reasoning is essential Precision, accuracy, detail, and order required |
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Process of selecting subjects who are representative of the population Random sampling Convenience sampling |
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A blueprint or detailed plan for conducting a study Based on the purpose, review of literature, and framework Maximizes control Directs the selection of the population, sampling, methods of measure, plans for data collection, and analysis Helps to insure study results reflect reality |
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Concepts in quantitative research design |
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Definition
Causality Multicausality Probability Bias Control Manipulation |
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Causality: cause-and-effect relationships |
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Definition
A statistically significant relationship between cause(independent variable) and effect(dependent variable) Cause precedes the effect in time Relationship not be explained by another variable *Correlation studies do not meet the last requirement and may not meet the second requirement |
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Causality vs. multicausality |
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Definition
Causality: -Pressure-->ulcer
Multicausality: -Years of smoking, high-fat diet, limited exercise--->heart disease |
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Potential cause of bias in designs |
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Definition
Researchers Setting Sample Groups Measurement tools Data collection process Data and duration of study(maturation) Statistical tests and analysis interpretation |
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Implemented throughout the design Improved accuracy of findings Increased control in quasi-experimental research Greatest in experimental research |
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Implementation of a treatment or intervention Independent variable is controlled Careful to avoid introduction of bias into the study Only in quasi-experimental and experimental design |
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Types of quantitative research design |
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Descriptive Correlational Quasi-experimental Experimental |
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Components of a successful study |
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Objectivity Type of design Accuracy Feasibility Control and intervention fidelity Validity |
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Objective and accuracy of research question/hypothesis |
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Definition
Thorough literature review Development of a theoretical framework All follow from research questions |
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Definition
Time Subject availability Facility and equipment Expenses Experience Ethical issues |
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Control and intervention fidelity |
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Uniformed intervention avoid/decrease effects of some variables on dependent variables -Intervening or mediating variables: happens during study and influence dependent variables -Extraneous variables: subjects, researchers, environmental characteristics |
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Control extraneous variables |
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Definition
Homogeneous sampling Consistent interventions and data collection procedures Manipulate independent variable Randomization Control group Control settings -Natural settings -Partially controlled settings -Highly controlled settings |
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Level of control (In order of increasing control) |
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Definition
Descriptive-->Correlational-->Quasi-experimental-->Experimental |
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Internal validity and threats |
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Definition
Did the independent variable really make the difference or change in the dependent variable? Threats: -History -Maturation -Testing -Instrumentation -Mortality -Selection bias |
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External validity and threats |
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Can I apply(generalize) the findings to other populations beyond my specific sample? Threats: -Selection effects -Reactive effects -Measurement effects |
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Quasi-experimental design |
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Definition
A study designed in which random assignment is not used but the independent variable is manipulated and certain mechanisms of control are used |
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Term
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Definition
Research designs in which the researcher initiates an experimental treatment but some characteristic of a true experiment is lacking |
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