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Test your basic knowledge 
Behavioral Science
Start Test
Study First
Subject
:
healthsciences
Instructions:
Answer 40 questions in 15 minutes.
If you are not ready to take this test, you can
study here
.
Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it reenforces your understanding as you take the test each time.
1. Number needed to treat equation
Best payment method for preventative care
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
1/attributable risk
1/absolute risk reduction
2. Type I vs Type II error (including how you decrease the probability of getting them)
3. For the 2x2  always put ? on top
Elderly  vs Destitute
5 steps  hallucinations  delusions  >2 months is abnormal
[a/(a+c)]  [c/(c+d)]
Disease (+ or )
4. Procedure bias
5. Confidence interval equation (95%)
1stRule out. High sensitivity (SNOUT)  2ndRule in. High specificity (SPIN)
Precision  Consistent and reproducible
Mean +/ 2(SEM)
Difference between 2 means  vs  Difference between 3+ means  vs  Difference between things that aren't means
6. Casecontrol vs cohort study
Take people who have a dz  see what RFs there were vs take people with RFs  see if they develop a dz  Odds ratio vs relative risk  Retrospective vs observational
If odds ratio or relative risk cross 1  If two groups overlap
1stRule out. High sensitivity (SNOUT)  2ndRule in. High specificity (SPIN)
You catch the confounding error. Not a bias
7. Depression sleep patterns
Increased REM  Faster entrance to REM  Repeated awakenings
Need a certain amount of time before the result surfaces
Risk without tx minus risk with tx
[a/(a+b)]/[c/(c+d)]
8. Emancipation of a minor
Marriage  Selfsupporting  Has children  Military  Emergencies  OCPs  STDs  pregnancy  drugs
Take data from everyone to get info like prevalence  risks  etc.
Best payment method for preventative care
H0 vs H1  There is no association vs there is an association
9. Attributable risk equation
Ad/bc
[a/(a+c)]  [c/(c+d)]
Elderly  vs Destitute
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
10. MedicarE vs medicaid
Those in different groups aren't treated the same
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
=SD/sqrt(n)
Elderly  vs Destitute
11. NTs in REM sleep
ACh increases it  NE reduces REM
Those in different groups aren't treated the same
Elderly  vs Destitute
[a/(a+c)]  [c/(c+d)]
12. Random vs systematic error
Reduces precision vs reduces accuracy
Disease (+ or )
Ad/bc
Info gathered at a bad time  Ex. Survey of fatal dz (only those alive answer)
13. Grief sx  timeline
Increased REM  Faster entrance to REM  Repeated awakenings
Risk without tx minus risk with tx
Alpha vs beta  FP vs FN  There is a difference when there really isn't vs There isn't a difference when there really is
5 steps  hallucinations  delusions  >2 months is abnormal
14. Null vs alternative hypothesis
Awake=beta  Stage 1=theta  Stage 2=spindles  K complexes  Stage 3=delta (widest with tallest amplitudes)  Stage 4/REM=beta
Researches belief in the outcome effects the outcome  vs Subjects realize they're being studied so they change their behavior
H0 vs H1  There is no association vs there is an association
Marriage  Selfsupporting  Has children  Military  Emergencies  OCPs  STDs  pregnancy  drugs
15. Reliability=
Hump moves left vs right  Mean>median>mode vs Mean<median<mode
Precision  Consistent and reproducible
Take people who have a dz  see what RFs there were vs take people with RFs  see if they develop a dz  Odds ratio vs relative risk  Retrospective vs observational
Stage 3
16. Odds ratio equation
Best payment method for preventative care
Kg/m^2  <18.5=underweight  18.525=good  2530=overweight  3040=obese  40+=morbidly obese
Researches belief in the outcome effects the outcome  vs Subjects realize they're being studied so they change their behavior
Ad/bc
17. ttest vs ANOVA vs chi
18. 1st vs 2nd tests in determining a patient having dz
Awake=beta  Stage 1=theta  Stage 2=spindles  K complexes  Stage 3=delta (widest with tallest amplitudes)  Stage 4/REM=beta
If odds ratio or relative risk cross 1  If two groups overlap
5 steps  hallucinations  delusions  >2 months is abnormal
1stRule out. High sensitivity (SNOUT)  2ndRule in. High specificity (SPIN)
19. Where does most abnl actions in sleep occur?
Marriage  Selfsupporting  Has children  Military  Emergencies  OCPs  STDs  pregnancy  drugs
1Assess toxicity  safety. Healthy volunteers  2Assess dosing  SEs  3Huge number of people to compare it to the current standard of care  4Long term SEs
You catch the confounding error. Not a bias
Stage 3
20. Relative risk equation
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
Hump moves left vs right  Mean>median>mode vs Mean<median<mode
[a/(a+b)]/[c/(c+d)]
Take data from everyone to get info like prevalence  risks  etc.
21. Selection vs sampling bias
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
Increased REM  Faster entrance to REM  Repeated awakenings
Those in different groups aren't treated the same
Take people who have a dz  see what RFs there were vs take people with RFs  see if they develop a dz  Odds ratio vs relative risk  Retrospective vs observational
22. P value vs power (1beta) determine them  Power
=SD/sqrt(n)
ACh increases it  NE reduces REM
1beta  Probability of finding the difference when there is one (aka not getting Type II error)
Picking neighbors for controls and such
23. Crosssectional study
Take data from everyone to get info like prevalence  risks  etc.
1/absolute risk reduction
5 steps  hallucinations  delusions  >2 months is abnormal
[a/(a+c)]  [c/(c+d)]
24. Matching
Picking neighbors for controls and such
H0 vs H1  There is no association vs there is an association
Elderly  vs Destitute
ACh increases it  NE reduces REM
25. Number needed to harm equation
Precision  Consistent and reproducible
Feeds self  tricycle  gender identity  toilet trained  sentences
Alpha vs beta  FP vs FN  There is a difference when there really isn't vs There isn't a difference when there really is
1/attributable risk
26. Effect modification
Difference between 2 means  vs  Difference between 3+ means  vs  Difference between things that aren't means
1/absolute risk reduction
Feeds self  tricycle  gender identity  toilet trained  sentences
You catch the confounding error. Not a bias
27. Latelook bias
If odds ratio or relative risk cross 1  If two groups overlap
Info gathered at a bad time  Ex. Survey of fatal dz (only those alive answer)
You catch the confounding error. Not a bias
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
28. Absolute risk reduction equation
Risk without tx minus risk with tx
Increased REM  Faster entrance to REM  Repeated awakenings
Spouse>children>parents
Need a certain amount of time before the result surfaces
29. Confidence interval confirms H0
If odds ratio or relative risk cross 1  If two groups overlap
Nonrandom assignment to study group  vs  Subjects not a good representation of the public
Info gathered at a bad time  Ex. Survey of fatal dz (only those alive answer)
You catch the confounding error. Not a bias
30. Positive vs negative skew
Take people who have a dz  see what RFs there were vs take people with RFs  see if they develop a dz  Odds ratio vs relative risk  Retrospective vs observational
Need a certain amount of time before the result surfaces
Hump moves left vs right  Mean>median>mode vs Mean<median<mode
Info gathered at a bad time  Ex. Survey of fatal dz (only those alive answer)
31. Waves of sleep
ACh increases it  NE reduces REM
Disease (+ or )
Awake=beta  Stage 1=theta  Stage 2=spindles  K complexes  Stage 3=delta (widest with tallest amplitudes)  Stage 4/REM=beta
Mean +/ 2(SEM)
32. Latent period bias
Walking  separation anxiety  understand 25% of what he says
Kg/m^2  <18.5=underweight  18.525=good  2530=overweight  3040=obese  40+=morbidly obese
Need a certain amount of time before the result surfaces
=SD/sqrt(n)
33. 3 yr milestones
Alpha vs beta  FP vs FN  There is a difference when there really isn't vs There isn't a difference when there really is
Difference between 2 means  vs  Difference between 3+ means  vs  Difference between things that aren't means
Best payment method for preventative care
Feeds self  tricycle  gender identity  toilet trained  sentences
34. BMI equation  levels
You catch the confounding error. Not a bias
Risk without tx minus risk with tx
Kg/m^2  <18.5=underweight  18.525=good  2530=overweight  3040=obese  40+=morbidly obese
Elderly  vs Destitute
35. SEM=
Picking neighbors for controls and such
Alpha vs beta  FP vs FN  There is a difference when there really isn't vs There isn't a difference when there really is
=SD/sqrt(n)
H0 vs H1  There is no association vs there is an association
36. Capitation
Alpha vs beta  FP vs FN  There is a difference when there really isn't vs There isn't a difference when there really is
Hump moves left vs right  Mean>median>mode vs Mean<median<mode
Best payment method for preventative care
Need a certain amount of time before the result surfaces
37. Surrogate hierarchy
Spouse>children>parents
Kg/m^2  <18.5=underweight  18.525=good  2530=overweight  3040=obese  40+=morbidly obese
Stage 3
Marriage  Selfsupporting  Has children  Military  Emergencies  OCPs  STDs  pregnancy  drugs
38. 12 month milestones
Feeds self  tricycle  gender identity  toilet trained  sentences
Ad/bc
Risk without tx minus risk with tx
Walking  separation anxiety  understand 25% of what he says
39. Phases of clinical trials
1stRule out. High sensitivity (SNOUT)  2ndRule in. High specificity (SPIN)
=SD/sqrt(n)
Picking neighbors for controls and such
1Assess toxicity  safety. Healthy volunteers  2Assess dosing  SEs  3Huge number of people to compare it to the current standard of care  4Long term SEs
40. Pygmalian vs Hawthorne effect