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Questions and Answers
What is the reason self-administered modes are best fitting for esk.mail/internet?
What is the reason self-administered modes are best fitting for esk.mail/internet?
What do researchers collect to study unobservable variables?
What do researchers collect to study unobservable variables?
What is the purpose of factor analysis?
What is the purpose of factor analysis?
What is a latent or construct variable?
What is a latent or construct variable?
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What is the goal of factor analysis in a set of survey questions?
What is the goal of factor analysis in a set of survey questions?
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What is a common application of factor analysis?
What is a common application of factor analysis?
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What is the difference between factor analysis and cluster analysis?
What is the difference between factor analysis and cluster analysis?
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What is the purpose of cluster analysis?
What is the purpose of cluster analysis?
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What is the input data for factor analysis?
What is the input data for factor analysis?
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What does factor analysis help to determine?
What does factor analysis help to determine?
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Study Notes
Nonprobability Polls
- Nonprobability polls have unknown recruiting strategies, making it difficult to determine the probability of a respondent being selected.
- This leads to potential biases, as some individuals may be left out, and the sample may not be representative of the entire population.
- Non-response is another issue, where people do not respond to surveys.
Sample Size
- The sample size depends on the confidence level, confidence interval, or margin of error.
- It also depends on non-response rates.
Survey Research
Positioning Survey Research
- Survey research is deductive, nomothetic, quantitative, positivistic, and pragmatic.
Asking Questions
- Survey research asks questions about behavior, attitudes, beliefs, opinions, characteristics, expectations, self-classification, and knowledge.
- Surveys answer three types of questions: descriptive, relational, and predictive.
Concepts and Variables
- Concepts or constructs are theoretical and abstract.
- Variables are empirical and measured in the world.
- To test hypotheses, theoretical concepts must be translated into empirical variables.
Quantitative Measurement
Levels of Measurement
- There are four levels of measurement: nominal, ordinal, interval, and ratio.
- Scales and indexes are used to measure complex concepts.
- Scales consist of empirically connected parts, while indexes are sums of logically connected parts.
Types of Scales
- Likert scale: statements with categories, scores from 3 to 15, and strong statements.
- Bogardus social distance scale: country, city, neighborhood, and home.
- Semantic differential scale: statements with categories between two ends, such as good to bad.
- Guttman scale: statements with categories, 0=no, 1=yes, and increasing intensity.
Why Do a Survey?
- Surveys are used to collect original data for describing a population too large to observe directly.
- They are used for descriptive, explanatory, and exploratory purposes.
- Scientific surveys are used for explanation, while commercial surveys are used for description.
Steps in Survey Research
- Research design
- Select sample
- Construct questions
- Ask questions
- Analyse data
- Report results
Types of Sampling
- Single stage vs. multistage sampling
- Random vs. systematic sampling
- Stratification: specific characteristics of individuals are represented in the sample.
- Power analysis for sample size determination
- Response rate: the percentage of surveys returned.
Constructing the Questionnaire
- Things to avoid: jargon, slang, abbreviations, vagueness, emotional language, prestige bias, double-barreled questions, beliefs as real, leading questions, and issues beyond respondent capabilities.
- Types of questions: contingency/skip questions and open-ended questions.
Factor Analysis
- Factor analysis is a statistical technique that analyzes relationships between survey items to determine whether they relate to an unobservable variable.
- It is used to determine whether survey items are part of the same scale and measure the same phenomenon.
- There are two ways of analyzing a data matrix: factor analysis and cluster analysis.
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Description
Understand the differences between theoretical concepts and empirical variables, and how to measure variables in research. Learn about the levels of measurement and how to apply them.
