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Flashcards covering key concepts and terminology related to surveys and primary data collected from the provided lecture notes.
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Primary Data
Data collected for the first time, directly from sources, primarily through surveys and observation.
Survey Research
A method of gathering information from individuals or organizations using structured questionnaires or interviews.
Ethical Issues in Surveys
Concerns related to informed consent, respondent privacy, and the potential for pressure to obtain responses.
Quantitative Data
Numerical data that can be measured and analyzed statistically.
Sampling Strategy
The method used to select individuals or groups from a population for inclusion in a survey.
Closed-Ended Questions
Questions that provide respondents with specific options to choose from, facilitating easier analysis.
Open-Ended Questions
Questions that allow respondents to answer in their own words, providing richer qualitative data.
Cognitive Pretesting
Testing the clarity and comprehension of survey questions before full-scale administration.
Field Pretesting
Testing the entire survey procedure on a small sample to identify and correct issues.
Sampling Frame
A list or database from which a sample is drawn for a survey.
Response Rate
The percentage of selected individuals who complete a survey.
Social Desirability Bias
A tendency for respondents to answer questions in a manner that will be viewed favorably by others.
Intercept Interviews
Surveys conducted by approaching respondents in public spaces to collect feedback or opinions.
Mixed-Mode Surveys
Surveys that combine multiple methods of data collection to reach diverse populations.
Pretesting a Questionnaire
The process of testing a survey instrument on a small scale to identify potential issues before large-scale use.
Analysis of Variance (ANOVA)
A statistical method used to compare means among three or more groups to see if they differ significantly.
Regression Analysis
A statistical process for estimating the relationships among variables, particularly to predict outcomes.
R-Squared (R²)
A statistical measure that indicates the proportion of variance explained by independent variables in a regression model.
Practical Significance
The real-world relevance or importance of a statistical result or effect size.