Week 4 Flashcards

1
Q

one-tailed hypothesis

A

a directional hypothesis
specific direction of effect
e.g. greater than .50

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2
Q

two-tailed hypothesis

A

a non-directional hypothesis
open ended, no set direction
e.g. not equal to .50

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3
Q

alternate hypothesis can be..

A

directional or non-directional

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4
Q

two-tailed

A

consider both tails of the probability distribution

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5
Q

one-tailed

A

look at only one tail of the probability distribution

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5
Q

What should we consider when using a one-tailed test?

A

easier to find the effect in the expected direction but at the cost of not being able to find the effect in the unexpected direction

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6
Q

if we have strong theoretical grounds

A

and we can expected a particular effect, then you can consider running a one-tailed test
findings replicated over and over by independent researchers may allow us to make directional predictions

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7
Q

when do we need to use a two-tailed test?

A

if there isn’t much evidence to suggest data goes in a expected direction
if testing an intervention that is exploratory
if test a intervention that may cause harm

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8
Q

before seeing the data

A

a decision to use a one or two tailed test must be made and decisions should not be changed

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9
Q

pre-registration

A

researcher declares their intentions ahead of time, other researchers can then verify

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10
Q

poor scientific bias

A
  • evidence not supporting claims
  • misleading media portrayal
  • need for open access
  • publication bias (hidden trial)
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11
Q

publication bias

A

a bias towards publishing significant findings so that evidence that finds an effect is reported
studies that don’t find an effect will go unreported, leading to skewed effect

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12
Q

issues

A

fraud

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13
Q

ways forward

A
  • open access data, everyone has access to all data to be able to test and validate
  • confidence by researchers to submit null findings for publications
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14
Q

research hypothesis

A

a abstract statement of our beliefs about a population parameter

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15
Q

statistical hypotheses

A

the null hypothesis is a formal statement that the effect we are looking for does not exist in the population
the alternative hypothesis is a formal statements that the effect we are looking for does exist in the population

16
Q

null hypothesis

A

the default assumption
assumed to be true until we can falsify it

17
Q

sampling error

A

even if we draw two samples from identical populations, they will look different

18
Q

p value

A

the statement of probability
how likely would it be to observe results at least as extreme as ours if the null hypothesis were true

19
Q

alpha level

A

a criterion
usually .05

20
Q

if p is less than .05

A

we reject the null hypothesis

21
Q

if p is grater than .05

A

we accept the null hypothesis

22
Q

type 1 error

A

false postive

23
Q

type 2 error

A

false negative

24
Q

what does the alpha level control?

A

the type 1 error rate

25
Q

one-tailed hypothesis

A

specifies an expected direction for the effect

26
Q

two-tailed hypothesis

A

does not specify a direction of effect

27
Q

once committed to a one tailed…

A

you cannot detect a statistically significant effect in the unexpected direction