Module 5-8 Flashcards

1
Q

ecological validity

A

external validity

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2
Q

naturalistic observation

A

direct data collection in the wild withour intervention

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3
Q

participant observer

A

hidden or disgused or undisguised person interact with the community and particpants

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4
Q

structured observations

A

participants repsond to situtation formed by researchers

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5
Q

field experiment

A

carried out in natural settign rather then a lab

ex: dressing homeless and seeing ppl react

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6
Q

structured observation

A

weak internal, strong external

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7
Q

population validity

A

the extent we can generalize our finding to the public

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8
Q

systematic sampling

A

selecting every nth person

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9
Q

Event sampling

A

Event sampling, also called frequency counts, involves observation of targeted behaviours or specific events

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10
Q

Non probability sampling

A

finding ppl to survey that are easy to reach

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11
Q

snowball sampling

A

particpants recruit other ppl

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12
Q

stratified sampling

A

divides group in non overlaping groups

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13
Q

categorical variables+ ex

A

Variable representing distinct, non-overlapping categories or groups of individuals, which are distinguished by a specific characteristic
Ex: These can be simple binary categories like whether participants drink alcohol (1 = No, 2 = Yes) or more complex variables like drinking habits (1 = Never, 2 = Rarely, 3 = Frequently).

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14
Q

Nominal variable

A

most basic type of variable and simply name categories. There is no numeric or ordered relationship between the categories or values, and as such, the order in which they are presented and how they are numbered is based on convenience.

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15
Q

Ordinal Variable

A

also involve naming categories, although these variables have an ordered relationship. These would be variables like income level (low, medium, or high) or medals at the Olympics (bronze, silver, gold). A category of an ordinal variable can be ranked higher or lower than another, but this does tell us anything about the numerical difference between each category.

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16
Q

Interval Variable (2)

A
  • Variable measured by order with equal distances between each interval on the scale.
  • do not have a true zero
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17
Q

Ratio Variable (2)

A
  • represent real numbers with consistent intervals between values. However, numbers used to describe ratio variables also have a real zero
  • can perform multiplication and division
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18
Q

Opinion and belief data have several limitations

A

reliability, scocial desirability

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19
Q

social desirability

A

A kind of response bias wherein study participants maximize what they believe are “good” responses and minimize what they believe to be “bad” or undesirable responses.

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20
Q

Behaviour data+ex+limitations

A

The behavioural data we collect should reflect an individual’s actions or activities. If we are interested in substance use, we may ask an individual how many times they have drunk alcohol in the last two weeks, and how many drinks they had each time on average. The goal is to develop measures of the activities of our participants.
- limitations: memory+ behavior does not always imply intention

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21
Q

Biological data

A

Consists of biological markers that can be used in research. These can include bodily fluids such as blood, recordings of bodily reactions such as skin conductance (electrical reaction of skin) or electrocardiogram (ECG- a type of heart monitor), or scans of the body such as with functional magnetic resonance imaging (fMRI- a scan of brain activity).

22
Q

Primary Data

A

Data collected by the researchers themselves rather than obtained from others

23
Q

Inter-rater reliability

A

The extent to which raters agree and provide consistent estimates of the same behavior.

24
Q

Surveys are typically designed to collect information in three main areas: (3)

A
  1. demographic
  2. dependent variable as well as the independent variable (IV)
  3. Confounds
25
Q

Secondary data

A

Data collected by another person for another purpose that is used in new research.

26
Q

Replication Crisis

A

Ongoing discussion in the field about the challenges of replicating findings using similar techniques but different groups of people.

27
Q

Low dispersion is problematic because

A

it makes it more difficult to compare the difference between groups when they are of very different sizes.

28
Q

For quantitative variables, both interval and ratio, we are able to use a statistic called

A

Standard deviation

29
Q

Nominal data strongest measure of Central tendency)

A

Mode

30
Q

Ordinal data strongest measure of Central tendency)

A

Median

31
Q

Interval/ratio data strongest measure of Central tendency)

A

mean

32
Q

Methods for identifying dispersion for ordinal/nominal

A

graph/chart

33
Q

Methods for identifying dispersion for interval/ratio

A

Standard deviation

34
Q

Web scraping techniques

A

Data collection techniques that download feeds from social media sites like Facebook and Twitter.

35
Q

evaluation

A

a process of forming judgments and making decisions based on a variety of measurements

36
Q

Scientific bias

A

any systematic differences between the results of a study and the “truth,” and is assessed by examining test data.

37
Q

two types of test bias:

A

content bias and testing situation bias

38
Q

content bias

A

occurs if test items favor one group of individuals over another group

39
Q

Item response theory

A

models the probability that a person with a given level of ability will correctly answer an item with certain characteristics, such as the spatial nature of this item.

40
Q

computerized adaptive testing

A

allows for adjusting item difficulty to the ability level of an individual.

41
Q

Distinctiveness

A

distinct numeric values may be assigned to individuals who belong to different classes of a characteristic being measured.

42
Q

ordering in magnitude

A

assigned numeric values represent the degree of measured characteristics, with lower values signifying a lower degree of a characteristic and higher values signifying a higher degree of that characteristic.

43
Q

classical test theory

A

postulates that every measurement consists of two elements: the true score and a measurement error

44
Q

measurement reliability

A

the extent to which a measurement is repeatable and free of measurement error

45
Q

construct validity:

A

The degree of overlap between a theoretical construct and the measurement instrument.

46
Q

content validity:

A

Extent to which a measure represents all features of a given construct.

47
Q

criterion validity:

A

A relation between a measure intended to assess a certain construct and other measures that assess the same construct.

48
Q

comprehensive narrative:

A

Recording as much data as possible.

49
Q

participant observation

A

Disguised or undisguised observer interacts with a community of interest.

50
Q

structured observations:

A

Participants respond to a situation framed by the researcher.

51
Q

systematic sampling

A

Selecting every nth person, behavior, or situation to observe.
- researchers select members of the population at a regular interval