PSCH 242 EXAM 3 [FINAL] (UIC) WITH
VERIFIED ANSWERS
ex dpost dfacto ddesign d- dcorrect danswers d-- dobserving ddifferences damong dnaturally
doccuring dgroups
- dweak, dno dmanipulation
- dno dcontrol dof dconfounding dvariables
this dis dfor d______'s dclass d- dcorrect danswers d-professor dchen
single dgroup, dposttest donly ddesign d- dcorrect danswers d-- dwhat dit dsounds dlike
- dno dmanipulation
- dnot dgood dan dcontrolling dfor dconfounding dvariables
implicit dcontrol dgroup d- dcorrect danswers d-- dusing dthe ddata dof da dhypothetical
dpopulation das da dcontrol dgroup
- deg. dusing dthe dgeneral dpopulation's ddata don dforeskin dregrowth dagainst dyour
down ddata don dhow dyour dmedication dimpacted dforeskin dregrowth damong dyour
dsubjects
, what ddesign dusually duses dan dimplicit dcontrol dgroup d- dcorrect danswers d-single
dgroup, dposttest donly ddesign
single dgroup, dpretest-postest ddesign d- dcorrect danswers d-- dyuh
- dtwo dmeasurements
- dcon: dconfounding dfactors dsuch das dtime dmay daccount dfor dany dobserved
dchanges
pretest-posttest, dwith dnatural dcontrol-group ddesign d- dcorrect danswers d-- dusing da
dpretest-postest ddesign don dtwo dnaturally doccuring dgroups d
- dno drandom dassignment
- dcon: dself dselection deffect dmay dimpact dthe drepresentativeness dof dsamples
randomized, dposttest donly, dcontrol dgroup ddesign d- dcorrect danswers d-- da dTRUE
dexperiment dbc dit duses drandom dassignment dand da dcontrol dgroup
- dmost dcommon dtype dof dexperimental ddesign
randomized, dpretest-posttest dcontrol dgroup ddesign d- dcorrect danswers d-- dgood
dcontrol dover dconfounding dvariables
what dare dthe dbenefits dof dusing da dpretest din da drandomized, dprettest-posttest
dcontorl dgroup ddesign? d- dcorrect danswers d-- dallows dfor dquantization dof dchange
ddue dto dtreatment
- dverifies dthat dthe dcontrol dand dtreatment dgroups dwere dequal dfrom dthe dstart
multilevel, drandomized, dbetween-subjects ddesign d- dcorrect danswers d-- da
drandomized, dpretest dposttest d, dcontrol dgroup ddesign dexcept dthere dare dmultiple
dgroups dwith dvarious dlevels dof dtreatment din daddition dto dthe dcontorl dgroup
between dgroup dvariances dare dmeant dto dbe d________ d- dcorrect danswers d--
dsystematic
within dgroup dvariances dare d_____ d- dcorrect danswers d-non dsystematic
f dtest dformula d- dcorrect danswers d-F d= d[(stematic dbetween dgroup dvariance) d+
derror dvariance] d/ d(error dvariance)
manipulation dcheck d- dcorrect danswers d-- da dtest dto dsee dwhether dmanipulation dis
deffective d
- deg. dwhen dtesting danger's deffect don dmemorization, dyou dwould dchekc dwhether
dyour dmethod dof dangering dppl dactually dworks
follow dup dtest dfor dANOVA d- dcorrect danswers d-- dplanned dcomparisons
- dpost dhoc dteste
- dpriori dtests
VERIFIED ANSWERS
ex dpost dfacto ddesign d- dcorrect danswers d-- dobserving ddifferences damong dnaturally
doccuring dgroups
- dweak, dno dmanipulation
- dno dcontrol dof dconfounding dvariables
this dis dfor d______'s dclass d- dcorrect danswers d-professor dchen
single dgroup, dposttest donly ddesign d- dcorrect danswers d-- dwhat dit dsounds dlike
- dno dmanipulation
- dnot dgood dan dcontrolling dfor dconfounding dvariables
implicit dcontrol dgroup d- dcorrect danswers d-- dusing dthe ddata dof da dhypothetical
dpopulation das da dcontrol dgroup
- deg. dusing dthe dgeneral dpopulation's ddata don dforeskin dregrowth dagainst dyour
down ddata don dhow dyour dmedication dimpacted dforeskin dregrowth damong dyour
dsubjects
, what ddesign dusually duses dan dimplicit dcontrol dgroup d- dcorrect danswers d-single
dgroup, dposttest donly ddesign
single dgroup, dpretest-postest ddesign d- dcorrect danswers d-- dyuh
- dtwo dmeasurements
- dcon: dconfounding dfactors dsuch das dtime dmay daccount dfor dany dobserved
dchanges
pretest-posttest, dwith dnatural dcontrol-group ddesign d- dcorrect danswers d-- dusing da
dpretest-postest ddesign don dtwo dnaturally doccuring dgroups d
- dno drandom dassignment
- dcon: dself dselection deffect dmay dimpact dthe drepresentativeness dof dsamples
randomized, dposttest donly, dcontrol dgroup ddesign d- dcorrect danswers d-- da dTRUE
dexperiment dbc dit duses drandom dassignment dand da dcontrol dgroup
- dmost dcommon dtype dof dexperimental ddesign
randomized, dpretest-posttest dcontrol dgroup ddesign d- dcorrect danswers d-- dgood
dcontrol dover dconfounding dvariables
what dare dthe dbenefits dof dusing da dpretest din da drandomized, dprettest-posttest
dcontorl dgroup ddesign? d- dcorrect danswers d-- dallows dfor dquantization dof dchange
ddue dto dtreatment
- dverifies dthat dthe dcontrol dand dtreatment dgroups dwere dequal dfrom dthe dstart
multilevel, drandomized, dbetween-subjects ddesign d- dcorrect danswers d-- da
drandomized, dpretest dposttest d, dcontrol dgroup ddesign dexcept dthere dare dmultiple
dgroups dwith dvarious dlevels dof dtreatment din daddition dto dthe dcontorl dgroup
between dgroup dvariances dare dmeant dto dbe d________ d- dcorrect danswers d--
dsystematic
within dgroup dvariances dare d_____ d- dcorrect danswers d-non dsystematic
f dtest dformula d- dcorrect danswers d-F d= d[(stematic dbetween dgroup dvariance) d+
derror dvariance] d/ d(error dvariance)
manipulation dcheck d- dcorrect danswers d-- da dtest dto dsee dwhether dmanipulation dis
deffective d
- deg. dwhen dtesting danger's deffect don dmemorization, dyou dwould dchekc dwhether
dyour dmethod dof dangering dppl dactually dworks
follow dup dtest dfor dANOVA d- dcorrect danswers d-- dplanned dcomparisons
- dpost dhoc dteste
- dpriori dtests
