Ethical operationalizations Ethically affect those outcomes Even if didnt have

Ethical operationalizations ethically affect those

This preview shows page 19 - 30 out of 62 pages.

Ethical operationalizations? Ethically affect those outcomes? Even if didn’t have ethics…. Can’t practically manipulate some things
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Correlational variables Ex. variables that have to be correlational ( practically or ethically ): Height Age IQ Gender Birth order Poverty (below poverty line or not) Nationality Marital status What is different about first 3 than rest? Could be practical (possible) but unethical : E.g., at the end of year long dyadic study with partner, told that partner gave experimenter a note…
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Ensuring research is ethical Institutional Review Board (IRB) Reviews research to ensure ethical treatment of human subjects Identities must be protected Minimize harm, maximize benefit Consent process
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Hard to create conditions that only differ on one variable If conditions differ on more than one variable, those other differences are confounds Pain Negativity Mood Anxiety These could be alternative explanations Problems with experimental research Internal validity!
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Correlational or experiment? Which should you choose when? Correlational research Important, “hard to manipulate” real-life outcomes Could not ethically or practically manipulate Experimental research Make causal claims Can manipulate cleanly Variable Outcome Internal validity!
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Learning check 24
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Let’s go back Let’s go back: Recall Picket, Gardner, and Knowles’ r = .38 (Correlation) Was that correct? Why? Yes. Continuous What test here? Independent samples t-test
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Continuous IV (e.g., how much) Categorical IV (e.g, exp vs control) Continuous DV (e.g., how much) correlation or regression t-test or ANOVA Categorical DV (e.g., yes/no) What Test Do I Run? independent samples t-test paired samples t-test one-way ANOVA repeated measures ANOVA factorial ANOVA
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What test would you use? Testing whether people with high need to belong smile more IV: NTB scores DV: number of smiles during 5 minute conversation If you had high vs low NTB? Are these experimental or correlational ? (measure IV) What would it need to do to be experimental? (manipulate IV) IV: high NTB experimental condition vs control DV: number of smiles during 5 minute conversation What test? (independent sampels t-test)
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Continuous IV (e.g., how much) Categorical IV (e.g, exp vs control) Continuous DV (e.g., how much) correlation or regression t-test or ANOVA Categorical DV (e.g., yes/no) logistical regression chi-square test or loglinear What Test Do I Run? Design determines if you can make causal claim, no thing to do with statistical test
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Continuous IV (e.g., how much) Categorical IV (e.g, exp vs control) Continuous DV (e.g., how much) correlation or regression t-test or ANOVA Categorical DV (e.g., yes/no) logistical regression chi-square test or loglinear What Test Do I Run?
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  • Fall '17
  • Statistics, Null hypothesis, Statistical hypothesis testing, Type I and type II errors,  Variable,  Random assignment

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