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Validity of Quantitative Research Conclusions. Validity of Quantitative Research Conclusions. Internal Validity External Validity Issues of Cause and Effect Issues of Generalizability. Validity of Quantitative Research Conclusions.
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Validity of Quantitative Research Conclusions Internal Validity External Validity Issues of Cause and Effect Issues of Generalizability
Validity of Quantitative Research Conclusions Issues of Cause and Effect Issues of Generalizability Internal Validity External Validity
Validity of Quantitative Research Conclusions Issues of Cause and Effect Issues of Generalizability Statistical Conclusion Validity Internal Validity Construct Validity External Validity
Use large sample size. Choose powerful statistics tests. Meet assumptions of statistics. Choose robust statistics tests. Use a conservative post-hoc comparison correction procedure. Use internally reliable tests. Use group means, not individual scores. Correct for attenuation (low reliability). Precisely define & standardize treatment. Choose settings free of confounds. Use more than one dependent variable. Select subjects randomly from a well-defined population. Vary settings and analyze across settings. Replicate the same experiment at different times. Conduct a literature review to see if prior evidence is consistent with hypotheses. Measure potential confounds. Use a within-subjects (repeated Measures design. Randomly assign to treatment group. Share study rationale with subjects. Treat all subjects justly. Hide true hypotheses from subjects. Define constructs precisely. Use measures with high validity. Measure dependent variable with multiple measures. Manipulate independent variable in many ways. Use double-blind study design. Use continuous level of measurement. Give a single treatment to subjects. Measure effect of pretests on dependent variable. Research Design Choices