Lecture 3 Flashcards

1
Q

define population

A

all possible observations about which we would like to know something
- realistically we can’t test the entire population

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2
Q

define sample

A

a set of observations drawn from the population of interest
- subset of a population

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3
Q

define random sample

A

is one in which every member of the population has an equal chance of being selected into the study
- not possible to completely randomize

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4
Q

define convenience sample

A

is one that uses participants who are already available
- lower generalizability
- most common form of sampling
ex. first year psych students

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5
Q

define generalizability/external validity

A

the researcher’s ability to apply findings from one sample or in one context to other samples or contexts

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6
Q

What does WEIRD sample stand for?

A

Western Educated, Industrialized, Rich, and Democratic
- not a diverse sample
- may be a bias convenience sample

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7
Q

volunteering

A
  • self selected
  • crowdsourcing
  • online network sampling
  • issues with reliability and validity with some research
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8
Q

online network sampling

A
  • easy to falsify data
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9
Q

How to reduce threats to generalizability

A

replication - the duplication of scientific results, ideally in a different context or with a sample that has different characteristics

constraints on generality statements (COG) - a statement of the target population to which the study’s results should generalize

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10
Q

define probability

A

the likelihood that a particular outcome – out of all possible outcomes – will occur
- the proportion that we expect to find (percentage)
- probabilistic reasoning is used by psych and other sciences
- rarely speak in absolutes
- terms like on average, in general, etc.

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11
Q

threats to probability

A
  • anecdotal evidence: relating experience/testimonials
  • confirmation bias: our usually unintentional tendency to pay attention to evidence that confirms what we already believe and to ignore evidence that would disconfirm our beliefs
  • illusory correlation: the phenomenon of believing one sees an association between variables when no such association exists (no scientific evidence)
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12
Q

define personal probability

A

a person’s own judgment about the likelihood that an event will occur
- assuming there is a likelihood for an outcome
- not scientific

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13
Q

define expected relative-frequency probability

A

the likelihood of an event occurring, based on the actual outcome of many, many trials

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14
Q

How to calculate probability

A
  1. determine total number of trials
  2. determine the number of trials with successful outcomes
  3. divide the number of successful outcomes by the number of trials
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15
Q

define proportion

A

the number of successes divided by the number of trials (decimal)

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16
Q

define percentage

A

simply probability or proportion multiplied by 100

17
Q

Statistical probability requires that the individual trials be _____

A

independent

18
Q

define inferential statistics

A

find a significant relationship between 2 variables in a sample and the data can then be applied to the larger population

19
Q

define null hypothesis

A
  • H0
  • Statement that usually postulates that there is no difference between populations or that the difference is in a direction opposite to that anticipated by the researcher
20
Q

research/alternative hypothesis

A
  • H1
  • Statement that usually postulates that there is a difference in a certain direction between populations
21
Q

control vs. experimental group

A
  • control receives no treatment (or placebo)
  • experimental group gets treatment
22
Q

what does it mean to reject the null hypothesis

A

When the data suggest that there is a mean difference, we reject the idea that there is no mean difference.
- Conclude that a difference is found

23
Q

what does it mean to fail to reject the null hypothesis

A

We fail to reject the null hypothesis; no mean difference
- Conclude that no difference is found

24
Q

________ are used to test the null hypothesis

A

statistics

25
define Type 1 error
Rejecting the null hypothesis when it is true - finding a relationship when there is none
26
define type 2 error
Failing to reject the null hypothesis when it is false - finding no relationship when there is one
27
define file drawer effect
Positive outcomes are more likely to be reported than null results as researchers think null results are irrelevant or uninteresting