Quiz 10 Flashcards

1
Q

Survey Research Design

A

Research design that looks to understand a population by collecting data about knowledge, attitudes, behaviors, and beliefs from a sample. Collects data through asking questions of respondents, recording responses, and analyzing them statistically. Understanding of the sample “predicts attitudes and behaviors.”

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2
Q

Survey

A

Data collection instrument that asks questions through a questionnaire or interview that incorporates a level of standardization into the structure.
Can be used in either quantitative or qualitative studies.

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3
Q

What is the difference between Survey Research and Survey?

A

Survey Research : Research design used to “predict attitudes and behaviors” or “describe attributes”

  • Non-experimental
  • Can collect data on small groups or worldwide populations

Survey: Data collection tool that requires a level of standardization and can be used in quantitative (structured) or qualitative (unstructured) research
Data collected through a questionnaire or an interview
Answers analyzed statistically or thematically

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4
Q

Standardization

A

Everyone is asked the same questions in roughly the same order using the same terminology. Answers to those questions are analyzed numerically.

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5
Q

Power of Survey Research Design Example

A

The Pew Research Center’s Global Attitudes Project:
Public opinion surveys around the world on a broad array of subjects
people’s assessments of their own lives
views about the current state of the world

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6
Q

Survey Research- Personal Interview

A

Strengths – higher response rate, allows for elaboration

Weaknesses – slow, costly, difficult to control for biases

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7
Q

Survey Research- Telephone Interview

A

Strengths – fast, inexpensive, reaches large representative sample, random digital dialing (RDD), better response rate than mailed surveys

Weaknesses – higher non-response rate, no visual cues, hard to control for question confusion when answering

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8
Q

Survey Research-Mail Survey

A

Strengths – inexpensive, responder convenience

Weaknesses – low response rate, slow

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9
Q

Survey Research- Online Survey

A

Strengths – very low cost, timely, can reach global representative sample easily
Weaknesses – very low response rates, respondent bias

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10
Q

Training the Interviewers

A

Explain interviewer bias: This is especially a problem when the content of the survey is highly charged and people have strongly held convictions

Skills in questioning: Cues, leading questions, managing group dynamics, etc.

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11
Q

Writing Survey Research Questions

A

Focus:
Staying focused on a specific topic keeps the question clear

Clarity:
Keeping the question clear avoids misinterpretation and incorrect answers

Brevity:
Shorter questions are easier to answer.

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12
Q

Open/Unstructured Research Questions

A

Allow the respondents some sense of freedom to answer the question and give the opportunity to elaborate on the topic using his or her own words. Usually involves some form of qualitative analysis

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13
Q

Closed/ Structured Research Questions

A

Limit the responses that can be given by requiring that each respondent indicate agreement od disagreement with predetermined choices. Easy to quantify and turned into numerical form for analysis. Harder to write/comeup with questions

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14
Q

Nominal

A

Label, group, name or describe. One object is different from another; the number next to each response has no meaning except as a placeholder for that response Researcher does not assign a value to each response

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15
Q

Ordinal

A

Assign meaning through ranking. One object is bigger or better or more of anything than another with no way to determine the distance between responses

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16
Q

Interval

A
Assign meaning through ranking. Distance between responses is measured in standard increments
3Types:
-Likert
-Semantic Differential
-Guttman
17
Q

Interval Question: Likert Scale

A

Used to quantitatively assess abstract concepts, attitudes, behaviors, etc.
*Traditional 1-to-5 rating

Ask an opinion question on a 1-to-5 bipolar scale (it’s called bipolar because there is a neutral point and the two ends of the scale are at opposite positions of the opinion).

Level of agreement of disagreement with a statment

18
Q

Interval Question: Semantic

A

Researchers measure attitudes, values, opinions, by having respondents rate their opinion or belief on a scale using bipolar adjectives

19
Q

Interval Question: Guttman Scale

A

Cumulative rank scale often used to determine an individual’s knowledge or the existence or degree of agreement with a concept or belief. Statements are listed in ascending or descending order, starting with the least extreme and moving forward with the most extreme statement appearing last

20
Q

Dichotomus Questions

A

When a question has two possible responses.
Surveys often use dichotomous questions that ask the respondent to select one of two possible answers
Yes/No
True/False
Agree/Disagree response

21
Q

Sample size is determined by analyzing

A

Significance level
Confidence levels
Type I and Type II errors

22
Q

How will you sample?

A

The first set of considerations has to do with the population and its accessibility

Looking for generalizable findings - probability sampling

23
Q

Can the population be enumerated?

A

For some populations, you have a complete listing of the units that will be sampled
registered voters or person with active driver’s licenses

For other populations, it will be difficult
-If your study requires input from homeless
persons, you will need to go find your population
-May rule out mail surveys or telephone
interviews

24
Q

Double Barreled

A

Asking two questions in one where the responded might feel differently about each statement and therefore be unable to answer.

25
Q

Biased or Loaded Questions

A

Framing a question in a way that does not allow a respondent to disagree with the question or using words that create an assumption

26
Q

Set the Tone

A

Set the tone by using an introduction that allows someone to admit to an undesirable behavior

27
Q

sampling

A

Probability and non-probability sampling methods

Response rate must be taken into account when determining number of participants needed

28
Q

Data Collection

A

Through asking questions in a questionnaire or interview

29
Q

Data Analysis

A

Employs both descriptive and inferential data analysis

Structured questions are assigned a numeric value for each response during the design phase (precoded)

Answers to unstructured questions are assigned numerical values for each written-in response (postcoded)

30
Q

Face Validity

A

Do the questions make sense?

31
Q

Content Validity

A

Do the questions express the underlying concept they were designed to reflect?

32
Q

Criterion Validity

A

Do the responses to the questions agree with an objective criterion or gold standard for the underlying concepts?

33
Q

Construct Validity

A

Are the hypotheses concerning the relationships between the underlying concepts borne out by the responses?

34
Q

Threats to Internal Validity

A
Threats to internal validity (results are true because the study worked and not due to a confounding variable or bias)
Self-selection
Response bias
Recall bias
Interview distortion
False respondents
35
Q

Survey Instrument Validity and Reliability

A

Instrument reliability
Test-retest
Does the same question have the same response over time or with a different sample?

Interrater
Do two interviewers with the same questionnaire get similar responses?

Internal consistency
Do questions designed to evaluate the same concept get equivalent responses?