1/86
Looks like no tags are added yet.
ndex and scale
Composite measures combining several specific items into one variable
Unidimensional
Measures one underlying dimension or concept
Multidimensional
Involves two or more dimensions or concepts
Typology
Combines categories across two or more dimensions to classify respondents
Data reduction
Combining several indicators into a single numerical score
Index
Composite measure representing a general dimension created by combining variable scores
Scale
Composite measure whose items have a logical or structured relationship
Index vs scale
Indexes have weaker combining rules while scales have stricter rules
Index scoring
Usually created by adding standardized or unstandardized variable scores
Index measurement
Usually continuous
Typology measurement
Usually nominal
Scale intensity structure
Uses differences in intensity across related items
Index example
Combining responses about worries into a single score
Scale example
Combining related questions about abortion attitudes
Factor analysis
Identifies how many underlying concepts explain a set of measures
Component analysis
Identifies components and the variation they explain
Pattern matrix
Shows how variables load onto underlying components
Good factor loading
A loading greater than 0.5 is generally considered good
Reliability analysis
Evaluates how consistently items measure a concept
Cronbach's alpha
A reliability statistic closer to 1 indicates higher internal consistency
Survey
A widely used social science method for collecting information from respondents
Descriptive research
Research that describes a phenomenon
Explanatory research
Research that tests hypotheses and explains relationships
Primary analysis
Collecting and analyzing your own data
Secondary analysis
Analyzing data collected by others
Survey strengths
Useful for studying attitudes beliefs values and behaviors
Survey unit of analysis
Usually the individual respondent
SUG
Selling under the guise of research
FRUG
Fundraising under the guise of research
Response rate
Percentage of selected sample members who participate
Self-selection bias
Bias when people especially interested in a topic are more likely to participate
Inducement
An incentive offered to encourage survey participation
Noncoercive incentive
A reasonable incentive that encourages participation without pressure
Official participation letter
Explains study goals and the importance of participation
Self-administered survey
A survey completed by respondents without an interviewer asking each question
Mail survey
Self-administered survey delivered by mail
Web-based survey
Self-administered survey completed online
CASI
Computer-assisted self-interviewing completed by the respondent
Mail survey disadvantage
Slow data collection requires data entry and needs mailing addresses
Web survey advantage
Quick data collection with responses entered in readable digital format
Web survey limitation
May exclude people without internet access
Telephone survey
Survey conducted by an interviewer over the phone
Random digit dialing
Selecting telephone numbers through randomly generated digits
CATI
Computer-assisted telephone interviewing
Telephone survey advantage
Usually quicker and less costly than in-person interviewing
Telephone survey limitation
Limited length and possible interviewer effects
Personal interview
Survey conducted face-to-face by an interviewer
CAPI
Computer-assisted personal interviewing
Personal interview advantage
Offers flexibility rapport-building and often higher response rates
Personal interview disadvantage
Usually the most expensive survey method
Interviewer effects
Influence of the interviewer on a respondent's answers
Standardized interview
An interview conducted consistently to minimize interviewer effects
Rapport
Trust and connection established between interviewer and respondent
Survey participation strategies
Be a good listener establish rapport and follow questionnaire instructions
Survey method considerations
Purpose response rate cost sampling frame sample characteristics time and information type
Sampling frame
A list or source identifying population members who can be sampled
Sensitive survey questions
Questions that may cause embarrassment discomfort or concern
Self-administered sensitive questions
Can increase privacy and reduce interviewer influence
Questionnaire design
Developing a standardized instrument that meets data needs within available resources
Questionnaire validity
Depends on questions wording response categories and the population surveyed
Simple question design
Use simple vocabulary and short clear questions
Loaded question
A question worded to push respondents toward a particular answer
Double negative
A question containing two negatives that may confuse respondents
Question order
Questions should flow in a logical sequence
Survey length
Keep surveys short to reduce respondent burden
Verification questions
Multiple questions used to check consistency of responses
Face-saving opportunity
Allows respondents to answer sensitive questions without embarrassment
Question framing
Presenting a question in a way that avoids threatening or biased language
Sensitive question placement
Often placed in the middle or near the end of an interview
Questionnaire development step 1
Determine what information is required
Questionnaire development step 2
Draft meaningful questions that elicit the needed information
Questionnaire development step 3
Incorporate questions used by other researchers when appropriate
Questionnaire development step 4
Organize the questions
Questionnaire development step 5
Pretest the questionnaire
Questionnaire development step 6
Revise the questionnaire and repeat earlier steps if needed
Wishbook
A preliminary list of questions or information researchers would like to collect
Sources of survey questions
Literature review theory experts colleagues and members of the target population
Demographic questions
Questions measuring core social characteristics
Knowledge questions
Questions assessing respondents' knowledge of a topic
Pretesting
Testing questions and the survey before full implementation
Question comprehension
Whether respondents understand what a question means
Question clarity
Whether a question is easy to understand
Question appropriateness
Whether a question fits the target population and research purpose
Response categories
The answer options provided for a survey question
Discomfort testing
Checking whether questions make respondents uncomfortable
Survey pretest
Evaluating overall length organization and potential response sets
Response set
The tendency to answer a series of questions in the same pattern regardless of conten