Chapter 9 Flashcards

1
Q

Open-Ended Items

A

Allows the participant to respond in his or her own words

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2
Q

Restricted (Closed-Ended) Items

A

Provide a limited number of specific response alternatives

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3
Q

Partially Open-Ended Items

A

Resemble restricted items but provide an additional, “other” category and an opportunity to give an answer not listed among the specific alternatives

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4
Q

Mail Survey

A

When you mail a questionnaire directly to your participants

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5
Q

Nonresponse Bias

A

Occurs when a large proportion of participants fail to complete and return your questionnaire

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6
Q

Internet Surveys

A

Can be distributed via email or listservs or posted on a website

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7
Q

Telephone Survey

A

When you contact participants by telephone rather than by mail or via the internet

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8
Q

Face-to-Face Interview

A

Talking to each participant directly

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9
Q

Mixed-Mode Survey

A

Employing more than one survey technique

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10
Q

Probability Sampling

A

Each member of a population has a known probability of being in the sample

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11
Q

Representative Sample

A

Closely matches the characteristic of the population

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12
Q

Biased Sample

A

A sample that does not represent the population

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13
Q

Simple Random Sampling

A

Randomly selecting a certain number of individuals from the population

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14
Q

Stratified Sampling

A

Provides one way to obtain a representative sample

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15
Q

Proportionate Sampling

A

The proportions of people in the population are reflected in your sample

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16
Q

Systematic Sampling

A

A popular technique that is often used to conjunction with stratified sampling. Involves sampling every kth element after a random start

17
Q

Cluster Sampling

A

Differs form the other forms of sampling already discussed in that the basic sampling unit is a group of participants (the cluster) rather than the individual participant

18
Q

Multistage Sampling

A

A variant of cluster sampling in which you begin by identifying large clusters and randomly selecting from among them (first stage). Then from selected clusters, you then randomly select individual elements (rather than selecting all elements in the cluster). Can be combined with stratification procedures to ensure a representative sample

19
Q

Sampling Error

A

The extent to which the characteristics of your sample differ from those of the population