Ch7 8 Flashcards

1
Q

“to a certain degree”, do not randomly assign subjects

A

Quasi Experiment Designs

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2
Q

When random assignment is not possible, we should select subjects in some way that makes 2 groups as comparable as possible

A

Non-equivalent group designs

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3
Q

examining series of observations on some variable over time

A

Time series designs

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4
Q

series of observations is compared before & after some intervention is introduces

A

Simple interrupted time series

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5
Q

selecting part of a population

A

sampling

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6
Q

method of selection in which each member of a population has a known chance/ probability of being selected

A

Probability Sampling

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7
Q

those selected are not typical or representative of larger population they have been chosen from

A

Bias

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8
Q

Likelihood that any given element will be selected is Not Known

A

Non-Probability Sampling

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9
Q

ex: list of 10000 elements and we want sample of 1000

A

Systematic Sampling example

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10
Q

rather than selecting our sample from total population

A

stratified sampling

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11
Q

Purposely produce samples not representative of population on some variable

A

Disproportionate Stratified Sampling

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12
Q

Initial sampling of groups of elements (clusters) followed by selection of elements w/in each selected cluster

A

Multistage cluster sampling

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13
Q

select sample based on knowledge of population & research goals

A

Purposive (aka judgmental Sampling)

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14
Q

Begins w/table describing characteristics of target population we wish to represent, assign all persons in a given cell a weight appropriate to their portion of total population

A

Quota samping

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15
Q

Surveys among students in class

A

Reliance on available subjects

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16
Q

identify single subject or small # of subjects, then ask subjects to identify others like him/her who might be willing to participate

A

Snowball sampling