Description
Book SynopsisThe papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments.
This is an open access book.
Table of ContentsThe Standardized Growth Expectations: Implications for Education Evaluation
Construct Definition Methodology and Generalizability Theory Applied to Career Education Measurement
Testing Construct Theories
Toward and Theory of Construct Definition
Most Comprehensive Tests Do Measure Reading Comprehension: A Response to McLean and Goldstein
Measuring Reading Comprehension with the Lexile Framework
Readability and Reading Ability
Mapping Variables
Theory Reference Measurement: Combining Substantive Theory and the Rasch Model
Matching Students to Text: The Targeted Reader
Does the Reader Comprehend the Text Because the Reader is Able or Because the Text is Easy?
From Model to Measurement with Dichotomous Items
Generally Objective Measurement of Human Temperature and Reading Ability: Some Corollaries
A Technology Roadmap for Intangible Assets Metrology
How to Model and Test For the Mechanisms that Make Measurement Systems Tick
Can Psychometricians Learn to Think Like Physicists?
Metrology for the Social, Behavioral, and Economic Sciences
Causal Rasch Models
Comparison is Key
Individual-Centered vs. Group-Centered Measures
Causal Rasch Models in Language Testing: An Application Rich P
Theory-Based Metrological Traceability in Education: A Reading Measurement Network
Towards an Alignment of Engineering and Psychometric Approaches to Uncertainty in Measurement: Consequences for the Future
The Unreasonable Effectiveness of Theory Based Instrument Calibration in the Natural Sciences: What Can the Social Sciences Learn
On the Complex Geometry of Individuality and Growth: Cooks 1914 “Curves of Life” and Reading Measurement
