Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Context Effect | 4 |
| Correlation | 4 |
| Sampling | 4 |
| Statistical Analysis | 3 |
| Error of Measurement | 2 |
| Simulation | 2 |
| Articulation (Speech) | 1 |
| Attention Control | 1 |
| Classification | 1 |
| Clinical Diagnosis | 1 |
| Cognitive Processes | 1 |
| More ▼ | |
Author
Publication Type
| Journal Articles | 4 |
| Reports - Evaluative | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
| Researchers | 1 |
Location
| Sweden | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Marcusson-Clavertz, David; Cardeña, Etzel; Terhune, Devin Blair – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Mind wandering--mentation unrelated to one's current activity and surroundings--is a ubiquitous phenomenon, but seemingly competing ideas have been proposed regarding its relation to executive cognitive processes. The control-failure hypothesis postulates that executive processes prevent mind wandering, whereas the global availability hypothesis…
Descriptors: Imagination, Fantasy, Cognitive Style, Short Term Memory
Ludtke, Oliver; Marsh, Herbert W.; Robitzsch, Alexander; Trautwein, Ulrich – Psychological Methods, 2011
In multilevel modeling, group-level variables (L2) for assessing contextual effects are frequently generated by aggregating variables from a lower level (L1). A major problem of contextual analyses in the social sciences is that there is no error-free measurement of constructs. In the present article, 2 types of error occurring in multilevel data…
Descriptors: Simulation, Educational Psychology, Social Sciences, Measurement
Ludtke, Oliver; Marsh, Herbert W.; Robitzsch, Alexander; Trautwein, Ulrich; Asparouhov, Tihomir; Muthen, Bengt – Psychological Methods, 2008
In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g., group-average effects of socioeconomic status, achievement, climate). Most previous applications have used a multilevel manifest covariate (MMC) approach,…
Descriptors: Statistical Analysis, Sampling, Context Effect, Simulation
Walker, Jean F.; Archibald, Lisa M. D. – International Journal of Language and Communication Disorders, 2006
Background: Speaking rate has implications for both clinical practice and an understanding of normal and disordered communication processes. Fundamental information on speaking rate is required by the clinician for the appropriate management of those disorders with disturbances of rate or those in which rate modification strategies are applied.…
Descriptors: Preschool Children, Longitudinal Studies, Articulation (Speech), Clinical Diagnosis

Peer reviewed
Direct link
