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Test your basic knowledge |
Behavioral Science
Start Test
Study First
Subject
:
health-sciences
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. Grief sx - timeline
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
ACh increases it - NE reduces REM
5 steps - hallucinations - delusions - >2 months is abnormal
2. Confidence interval confirms H0
Disease (+ or -)
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
1/attributable risk
If odds ratio or relative risk cross 1 - If two groups overlap
3. Confidence interval equation (95%)
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
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)
Mean +/- 2(SEM)
4. t-test vs ANOVA vs chi
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5. Cross-sectional study
Increased REM - Faster entrance to REM - Repeated awakenings
=SD/sqrt(n)
Take data from everyone to get info like prevalence - risks - etc.
If odds ratio or relative risk cross 1 - If two groups overlap
6. MedicarE vs medicaid
1/absolute risk reduction
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
Elderly - vs Destitute
Feeds self - tricycle - gender identity - toilet trained - sentences
7. Relative risk equation
[a/(a+b)]/[c/(c+d)]
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
Reduces precision vs reduces accuracy
8. 12 month milestones
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Ad/bc
Walking - separation anxiety - understand 25% of what he says
5 steps - hallucinations - delusions - >2 months is abnormal
9. Absolute risk reduction equation
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Spouse>children>parents
Risk without tx minus risk with tx
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
10. Null vs alternative hypothesis
1/attributable risk
Best payment method for preventative care
H0 vs H1 - There is no association vs there is an association
You catch the confounding error. Not a bias
11. Where does most abnl actions in sleep occur?
Take data from everyone to get info like prevalence - risks - etc.
Best payment method for preventative care
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
Stage 3
12. 1st vs 2nd tests in determining a patient having dz
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
=SD/sqrt(n)
Best payment method for preventative care
13. For the 2x2 - always put ? on top
Disease (+ or -)
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
Need a certain amount of time before the result surfaces
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
14. 3 yr milestones
Stage 3
Walking - separation anxiety - understand 25% of what he says
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Feeds self - tricycle - gender identity - toilet trained - sentences
15. Depression sleep patterns
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
ACh increases it - NE reduces REM
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
Increased REM - Faster entrance to REM - Repeated awakenings
16. BMI equation - levels
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
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
Disease (+ or -)
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
17. Emancipation of a minor
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
Stage 3
1/absolute risk reduction
Feeds self - tricycle - gender identity - toilet trained - sentences
18. Reliability=
Risk without tx minus risk with tx
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
Mean +/- 2(SEM)
Precision - Consistent and reproducible
19. P value vs power (1-beta) determine them - Power
Marriage - Self-supporting - Has children - Military - Emergencies - OCPs - STDs - pregnancy - drugs
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
20. Waves of sleep
Need a certain amount of time before the result surfaces
Those in different groups aren't treated the same
Reduces precision vs reduces accuracy
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
21. Random vs systematic error
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
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
Disease (+ or -)
Reduces precision vs reduces accuracy
22. Surrogate hierarchy
Take data from everyone to get info like prevalence - risks - etc.
Those in different groups aren't treated the same
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
Spouse>children>parents
23. Effect modification
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
You catch the confounding error. Not a bias
Picking neighbors for controls and such
24. Number needed to harm equation
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
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
Picking neighbors for controls and such
1/attributable risk
25. Case-control vs cohort study
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
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
Best payment method for preventative care
Spouse>children>parents
26. NTs in REM sleep
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Elderly - vs Destitute
Awake=beta - Stage 1=theta - Stage 2=spindles - K complexes - Stage 3=delta (widest with tallest amplitudes) - Stage 4/REM=beta
ACh increases it - NE reduces REM
27. Odds ratio equation
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
Precision - Consistent and reproducible
Walking - separation anxiety - understand 25% of what he says
Ad/bc
28. Positive vs negative skew
1-beta - Probability of finding the difference when there is one (aka not getting Type II error)
Spouse>children>parents
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
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
29. Procedure bias
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30. Latent period bias
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
Need a certain amount of time before the result surfaces
5 steps - hallucinations - delusions - >2 months is abnormal
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
31. Late-look bias
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Hump moves left vs right - Mean>median>mode vs Mean<median<mode
1/absolute risk reduction
ACh increases it - NE reduces REM
32. Capitation
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
ACh increases it - NE reduces REM
Reduces precision vs reduces accuracy
33. Pygmalian vs Hawthorne effect
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34. Matching
Info gathered at a bad time - Ex. Survey of fatal dz (only those alive answer)
Picking neighbors for controls and such
Ad/bc
Spouse>children>parents
35. Phases of clinical trials
Those in different groups aren't treated the same
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-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
Kg/m^2 - <18.5=underweight - 18.5-25=good - 25-30=overweight - 30-40=obese - 40+=morbidly obese
36. Attributable risk equation
[a/(a+c)] - [c/(c+d)]
1st-Rule out. High sensitivity (SNOUT) - 2nd-Rule in. High specificity (SPIN)
Best payment method for preventative care
Mean +/- 2(SEM)
37. SEM=
Researches belief in the outcome effects the outcome - vs Subjects realize they're being studied so they change their behavior
You catch the confounding error. Not a bias
=SD/sqrt(n)
Difference between 2 means - vs - Difference between 3+ means - vs - Difference between things that aren't means
38. Type I vs Type II error (including how you decrease the probability of getting them)
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39. Number needed to treat equation
Take data from everyone to get info like prevalence - risks - etc.
Reduces precision vs reduces accuracy
Elderly - vs Destitute
1/absolute risk reduction
40. Selection vs sampling bias
You catch the confounding error. Not a bias
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
Nonrandom assignment to study group - vs - Subjects not a good representation of the public
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