Ch. 5 Survey Research Flashcards

1
Q

Population

A

a set of all cases of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Sample

A

a subset of the population used to represent the entire population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Element

A

each member of a population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Sampling frame

A

list of the members of a population

  • characteristics of participants in sample should be similar to those of the entire population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Biased sample

A

occurs when characteristics of the sample differ systematically from those of the population

  • samples can overrepresent or underrepresent a segment of a population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Selection bias

A

occurs when a researcher’s procedures for selecting a sample result in one or more segments of the population being under - or overrepresented

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Response-rate bias

A

occurs when individuals selected for the initial sample do not complete and return the survey (lack of interest, worried about privacy, don’t have time)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Ways to increase response rate

A
  • questionnaire has a personal touch
  • responding requires minimal effort
  • topic of survey is interesting to respondents
  • respondents identify with organization or sponsor of survey
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Nonprobability sampling

A

no guarantee each member of population has an equal chance to be in sample

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

connivence sampling

A

researcher selects individuals who are available and willing to respond to the survey (magazine surveys, call-in radio surveys)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Probability sampling

A

all members of population have an equal chance of being selected for the survey

simple random sample: random digit dialing
stratified random sample: equal number of freshman, sophomores, juniors, seniors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Four survey methods

A

mail surveys, internet surveys, telephone surveys, personal interviews

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Mail surveys

A

advantages: quick, convenient, self-administered, best for highly personal or embarrassing topics
disadvantages: problem of response rate, little control over how people respond to the questions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Personal interviews

A

advantages: researchers gain more control over how survey is administered, interviewers can seek clarification of answers, ask questions
disadvantages: possible interviewer bias, interviews are costly; interviewers must be highly motivated, carefully trained, supervised

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Telephone interviews

A

advantages: complete brief survey efficiently and with greater access to population, random-digit dialing to select random samples, supervise interviewers easily
disadvantages: no phone or multiple phone numbers, willingness to answer questions on phone, changes in survey questions and responses

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Internet surveys

A

advantages: efficient, low-cost, potential for very large samples, samples can be very diverse and access typically underrepresented samples
disadvantages: access to internet, willingness to respond, lack of control over research environment

17
Q

Cross-sectional survey design

A

select sample from one or more populations at one time

  • choose population of interest
  • use probability sampling or convenience sampling
  • respondents complete a survey one time
18
Q

Successive independent samples design

A

a series of cross-sectional designs over time

  • a different sample from the population completes the survey each time (can see how a population changes over time)
19
Q

Longitudinal survey design

A

same sample of individuals completes the survey at different points in time

  • can assess how individuals change over time ( and populations)
20
Q

Questionnaires

A

most frequently used to collect survey data, measure different types of variables (demographic variables using checklists, preferences and attitudes)

21
Q

Guidelines for writing survey questions

A

Choose how participants will respond
- free-response (open ended)
- closed-response (multiple choice, true-false)
Use simple, familiar vocabulary; keep questions short
Write clear and specific questions
- avoid double-barreled questions
- avoid conditional phrases at the end of sentences
- avoid leading questions
- avoid loaded )emotion-laded) questions
Ordering of questions
- self-administered questionnaires (most interesting questions first)
- use funnel questions (start with general questions then move to more specific ones)
- use filter questions (direct respondents to appropriate questions)

22
Q

Test-retest reliability

A
  • administer measure two times to same sample
  • individuals’ scores should be consistent over time
  • a high correlation between the two sets of scores indicates good test-retest reliability (r > .80)
  • individuals’ scores need not be identical each time, only same place in the distribution of scores
23
Q

How to improve reliability?

A
  • more items
  • greater variability among individuals on the factor being measured
  • testing situation free of distractions
  • clear instructions

a measure can be reliable but not valid

24
Q

Convergent validity

A

extent to which two measures of the same construct are correlated

25
Q

discriminant validity

A

extent to which two measures of different constructs are not correlated

26
Q

First steps to constructing a questionnaire

A
  • decide what information should be sought
  • decide what type of questionnaire to administer
  • write a first draft of the questionnaire
  • have experts review questionnaire and then revise it based on their suggestions
  • pretest the questionnaire using sample and conditions similar to the planned administration of the survey
  • review results and edit the questionnaire