Psych217 Midterm 2 Review PDF

More on 5,11,12 ◦ Review the correlation regression ◦ Go through ethical research ◦ Ch.5 reliability forms Ch.5 ◦ Face validity: not enough as it only judges validity by appearance not a good indicator ◦ Content validity: ensure it captures all aspects of the variable ◦ Measure Reactivi...

More on 5,11,12 ◦ Review the correlation regression ◦ Go through ethical research ◦ Ch.5 reliability forms Ch.5 ◦ Face validity: not enough as it only judges validity by appearance not a good indicator ◦ Content validity: ensure it captures all aspects of the variable ◦ Measure Reactivity: situation in which one aware being observed and changes behaviour Internal consistency reliability: Evaluating reliability through measure of similar items of same construct. ◦ Cronbach’s alpha: measure of internal consistency reliability by average correlation of each item in measure with every other question ◦ Omega coefficient: another measure of internal consistency reliability more desirable that alpha ◦ Split half reliability: determining correlation of performance on each half of measure to evaluate internal consistency Ch.11 complex experiments ◦ Simple main effect vs main effect Simple main effect is the evaluation of impact of one IV on DV by effect a single level of another IV only. Ch.3 ethical research: ◦ Organizations of tri-council: 1. CIHR 2. NSERC 3. SSHRC ◦ TCPS = tri-council policy statement What the core principles of ethical research? 1. Respect for persons 2. Justice 3. Concerns for welfare How to apply core principles of ethical research? 1. Concerns for welfare- risk benefit analysis and confidentiality 2. Justice- equal burden and benefit 3. Informed consent- respect for persons REB actions ◦ Minimal risk -one person ◦ Greater risk -full board To be funded: 1. Have REB 2. Follow TCPS2 Deception: 1. Concealing real purpose 2. Staging Autonomy issue: lacking freedom to make decisions independent regarding participation in a research (voluntarily) Ch.12 Descriptive stats: ◦ r : correlation between variables ◦ r2 : variance between variables ◦ Multiple regression: test unique contribution of variables in predicting criteria ◦ Multiple correlation (R): expressed as R2 correlation coefficient of combination of all predictors on criteria **used with multiple regression ◦ Partial correlation: remove 3rd variable