Test your basic knowledge |

Behavioral Science

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 re-enforces your understanding as you take the test each time.

1. t-test vs ANOVA vs chi

2. Random vs systematic error
Picking neighbors for controls and such
ACh increases it - NE reduces REM
Take data from everyone to get info like prevalence - risks - etc.
Reduces precision vs reduces accuracy

3. Reliability=
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
Precision - Consistent and reproducible
Increased REM - Faster entrance to REM - Repeated awakenings
Elderly - vs Destitute

4. Capitation
1/attributable risk
Best payment method for preventative care
Elderly - vs Destitute
Ad/bc

5. NTs in REM sleep
1/attributable risk
If odds ratio or relative risk cross 1 - If two groups overlap
ACh increases it - NE reduces REM
H0 vs H1 - There is no association vs there is an association

6. Absolute risk reduction equation
Risk without tx minus risk with tx
Reduces precision vs reduces accuracy
Precision - Consistent and reproducible
Those in different groups aren't treated the same

7. 12 month milestones
Ad/bc
Walking - separation anxiety - understand 25% of what he says
Elderly - vs Destitute
Best payment method for preventative care

8. Number needed to harm equation
1/attributable risk
[a/(a+b)]/[c/(c+d)]
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
Nonrandom assignment to study group - vs - Subjects not a good representation of the public

9. Waves of sleep
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Take data from everyone to get info like prevalence - risks - etc.
Best payment method for preventative care
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta

10. Odds ratio equation
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Precision - Consistent and reproducible
Ad/bc

11. For the 2x2 - always put ? on top
1/absolute risk reduction
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
Increased REM - Faster entrance to REM - Repeated awakenings
Disease (+ or -)

12. Confidence interval confirms H0
Need a certain amount of time before the result surfaces
Increased REM - Faster entrance to REM - Repeated awakenings
If odds ratio or relative risk cross 1 - If two groups overlap
[a/(a+c)] - [c/(c+d)]

13. Positive vs negative skew
Those in different groups aren't treated the same
1/absolute risk reduction
[a/(a+c)] - [c/(c+d)]
Hump moves left vs right - Mean>median>mode vs Mean<median<mode

14. Number needed to treat equation
1/absolute risk reduction
Disease (+ or -)
H0 vs H1 - There is no association vs there is an association
Picking neighbors for controls and such

15. Where does most abnl actions in sleep occur?
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/absolute risk reduction
Stage 3
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta

16. MedicarE vs medicaid
Risk without tx minus risk with tx
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Elderly - vs Destitute

17. P value vs power (1-beta) determine them - Power
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
1-Assess toxicity - safety. Healthy volunteers - 2-Assess dosing - SEs - 3-Huge number of people to compare it to the current standard of care - 4-Long term SEs

18. 1st vs 2nd tests in determining a patient having dz
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
Disease (+ or -)
ACh increases it - NE reduces REM
Spouse>children>parents

19. Relative risk equation
[a/(a+b)]/[c/(c+d)]
Best payment method for preventative care
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
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

20. Surrogate hierarchy
Take data from everyone to get info like prevalence - risks - etc.
Spouse>children>parents
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

21. Late-look bias
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
Increased REM - Faster entrance to REM - Repeated awakenings
Hump moves left vs right - Mean>median>mode vs Mean<median<mode

22. Attributable risk equation
Walking - separation anxiety - understand 25% of what he says
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
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
[a/(a+c)] - [c/(c+d)]

23. Confidence interval equation (95%)
[a/(a+b)]/[c/(c+d)]
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Mean +/- 2(SEM)
Need a certain amount of time before the result surfaces

24. Pygmalian vs Hawthorne effect

25. SEM=
=SD/sqrt(n)
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
1-Assess toxicity - safety. Healthy volunteers - 2-Assess dosing - SEs - 3-Huge number of people to compare it to the current standard of care - 4-Long term SEs
Need a certain amount of time before the result surfaces

26. Procedure bias

27. BMI equation - levels
You catch the confounding error. Not a bias
Walking - separation anxiety - understand 25% of what he says
Spouse>children>parents
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese

28. Matching
Picking neighbors for controls and such
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
Reduces precision vs reduces accuracy

29. Emancipation of a minor
Best payment method for preventative care
Picking neighbors for controls and such
Reduces precision vs reduces accuracy
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs

30. 3 yr milestones
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
Feeds self - tricycle - gender identity - toilet trained - sentences
Hump moves left vs right - Mean>median>mode vs Mean<median<mode

31. Depression sleep patterns
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
Mean +/- 2(SEM)
Increased REM - Faster entrance to REM - Repeated awakenings

32. Cross-sectional study
You catch the confounding error. Not a bias
If odds ratio or relative risk cross 1 - If two groups overlap
Take data from everyone to get info like prevalence - risks - etc.
=SD/sqrt(n)

33. Latent period bias
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
If odds ratio or relative risk cross 1 - If two groups overlap
Walking - separation anxiety - understand 25% of what he says
Need a certain amount of time before the result surfaces

34. Type I vs Type II error (including how you decrease the probability of getting them)

35. Effect modification
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
You catch the confounding error. Not a bias
Elderly - vs Destitute
H0 vs H1 - There is no association vs there is an association

36. Phases of clinical trials
Mean +/- 2(SEM)
1-Assess toxicity - safety. Healthy volunteers - 2-Assess dosing - SEs - 3-Huge number of people to compare it to the current standard of care - 4-Long term SEs
Precision - Consistent and reproducible
Picking neighbors for controls and such

37. Selection vs sampling bias
1/absolute risk reduction
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
Increased REM - Faster entrance to REM - Repeated awakenings
Walking - separation anxiety - understand 25% of what he says

38. Grief sx - timeline
Need a certain amount of time before the result surfaces
Ad/bc
Walking - separation anxiety - understand 25% of what he says
5 steps - hallucinations - delusions - >2 months is abnormal

39. Case-control vs cohort study
Spouse>children>parents
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
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Those in different groups aren't treated the same

40. Null vs alternative hypothesis
Disease (+ or -)
H0 vs H1 - There is no association vs there is an association
Feeds self - tricycle - gender identity - toilet trained - sentences
Nonrandom assignment to study group - vs - Subjects not a good representation of the public