Applying the Rasch model in social sciences using R and BlueSky statistics. (2020)
- Record Type:
- Book
- Title:
- Applying the Rasch model in social sciences using R and BlueSky statistics. (2020)
- Main Title:
- Applying the Rasch model in social sciences using R and BlueSky statistics
- Further Information:
- Note: Iasonas Lamprianou.
- Authors:
- Lamprianou, Iasonas
- Contents:
- Chapter 1. Introduction Chapter 2. "Have you Assaulted a Politician?" Measuring Political Engagement Using the Simple Rasch Model Chapter 3. Expectations and Residuals Chapter 4. "All We Need is Love (and Money)!" An Introduction to the Rating Scale Rasch Model Chapter 5. Relaxing the Common Scale: the Partial Credit Model Chapter 6. Observations or Subjective Interpretations? A Many-facets Rasch Model Chapter 7. The Rasch Model as a Generalized Linear Mixed Model Chapter 8. Publishing a Paper: Detection of Online Hate Speech References Index
- Publisher Details:
- New York, NY : Routledge
- Publication Date:
- 2020
- Extent:
- 1 online resource
- Subjects:
- 300.285
Social sciences -- Data processing
Rasch models
Social sciences -- Research
Quantitative research
Quantitative research
Rasch models
Social sciences -- Data processing
Social sciences -- Research - Languages:
- English
- ISBNs:
- 9781351378437
1351378430 - Related ISBNs:
- 113850078X
9781138500785 - Notes:
- Note: Includes bibliographical references and index.
Note: Description based on online resource; title from digital title page (viewed on January 27, 2020). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.493823
- Ingest File:
- 03_058.xml