Readership in the Age of the Internet
Symposium: 2009: Valencia, Session 1 - The Changing Scene
Authors: Page, Katherine
Organisations: National Readership Survey, GB
Topics: Digital Platforms, Industry Issues, Model Bias
What do we measure? four short puzzling stories
Symposium: 2003: Cambridge, Massachusetts, Session 3 - Methodological Issues
Authors: Marx, Jean-Louis
Organisations: AEPM
Topics: Model Bias, Readership Model, Validity
The interval method – a suggested platform for meeting future challenges
Symposium: 1999: Florence, Session 5 - Enhancing Our Readership Methods New Approaches
Authors: Walsh, Peter
Topics: Model Bias, Readership Model
The ideal readership survey
Symposium: 1999: Florence, Session 5 - Enhancing Our Readership Methods New Approaches
Authors: Shepherd-Smith, Neil
Topics: Model Bias, Readership Model
The choice of readership model: now and in the future
Symposium: 1999: Florence, Session 5 - Enhancing Our Readership Methods New Approaches
Authors: Monk, Donald
Topics: Model Bias, Readership Model
Recent reading – an exercise in double counting?
Symposium: 1999: Florence, Session 3 - Enhancing Our Readership Methods Problems Revisited
Authors: Carpenter, Ron
Organisations: Consultant
Topics: Model Bias, Readership Model
THE MODEL BIAS: PARALLEL AND REPLICATED READING
Symposium: 1993: San Francisco, Session 5 - Model bias, readers per copy and other issues
Authors: Landgrebe, Klaus Peter
Organisations: Consultant
Topics: Model Bias
PRIMARY READERSHIP IS OVERCLAIMED
Symposium: 1991: Hong Kong, Session 3 - Technical Issues
Authors: Withers, Hastings
Organisations: PMB Print Measurement Bureau, Canada
Topics: Model Bias, Readership Model
WAYS OF MEASURING OVERCLAIMING
Symposium: 1985: Salzburg, Session 2 - Validity and Reliabiility
Authors: Eadie, Wayne
Organisations: Newsweek
Topics: Model Bias, Validity
CONFUSION CONTROL: SOME THEORETICAL CONSIDERATIONS
Symposium: 1985: Salzburg, Session 2 - Validity and Reliabiility
Authors: Muller-Veeh, Dieter
Organisations: IVE- Research International
Topics: Model Bias, Readership Model