Main Effect
A main effect is a statistical term associated with experimental designs and their analysis. In the analysis of variance statistical test, which often is used to analyze data gathered via an experimental design, a main effect is the statistically significant difference between levels of an independent variable (e.g. mode of data collection) on a dependent variable (e.g. respondents' mean amount of missing data), ignoring the influence of other factors. To better understand the statistical concept of a main effect, it is helpful to understand a few key terms and experimental conditions under which a main effect may be found.
When conducting research, it is not uncommon to use a factorial analysis of variance to determine how two or more categorical independent variables (called factors in analysis ...
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Reader's Guide
Ethical Issues In Survey Research
Measurement - Interviewer
Measurement - Mode
Measurement - Questionnaire
Measurement - Respondent
Measurement - Miscellaneous
Nonresponse - Item-Level
Nonresponse - Outcome Codes And Rates
Nonresponse - Unit-Level
Operations - General
Operations - In-Person Surveys
Operations - Interviewer-Administered Surveys
Operations - Mall Surveys
Operations - Telephone Surveys
Political And Election Polling
Public Opinion
Sampling, Coverage, And Weighting
Survey Industry
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