Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Behavioral Science Research | 2 |
Questionnaires | 2 |
Scores | 2 |
Statistical Analysis | 2 |
Adolescents | 1 |
Comparative Analysis | 1 |
Computation | 1 |
Data | 1 |
Data Analysis | 1 |
Efficiency | 1 |
Experimenter Characteristics | 1 |
More ▼ |
Source
Multivariate Behavioral… | 2 |
Author
Enders, Craig K. | 1 |
Gottschall, Amanda C. | 1 |
Sijtsma, Klaas | 1 |
Van Der Ark, L. Andries | 1 |
West, Stephen G. | 1 |
Zijlstra, Wobbe P. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Adult Education | 1 |
Grade 7 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gottschall, Amanda C.; West, Stephen G.; Enders, Craig K. – Multivariate Behavioral Research, 2012
Behavioral science researchers routinely use scale scores that sum or average a set of questionnaire items to address their substantive questions. A researcher applying multiple imputation to incomplete questionnaire data can either impute the incomplete items prior to computing scale scores or impute the scale scores directly from other scale…
Descriptors: Questionnaires, Data Analysis, Computation, Monte Carlo Methods
Zijlstra, Wobbe P.; Van Der Ark, L. Andries; Sijtsma, Klaas – Multivariate Behavioral Research, 2007
Classical methods for detecting outliers deal with continuous variables. These methods are not readily applicable to categorical data, such as incorrect/correct scores (0/1) and ordered rating scale scores (e.g., 0,..., 4) typical of multi-item tests and questionnaires. This study proposes two definitions of outlier scores suited for categorical…
Descriptors: Rating Scales, Scores, Regression (Statistics), Statistical Analysis