Measuring agency attributes with attitudes across time

A method and examples using large-scale federal surveys

Anthony M. Bertelli, Dyana P. Mason, Jennifer Connolly, David A. Gastwirth

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Public management researchers are interested in many characteristics of organizations that cannot be directly captured, making aggregated attitudes from surveys an attractive proxy. Yet difficulties in measuring meaningful attributes over time and across organizations have frequently limited statistical designs to a single organization or time. We offer a method for creating such statistical measures across agencies and time using item response theory. Focusing our attention on US federal administrative agencies, we marshal a variety of questions from surveys commissioned by the Office of Personnel Management and Merit Systems Protection Board and employ statistical models to measure three important attributes - autonomy, job satisfaction, and intrinsic motivation - for 71 agencies between 1998-2010. Our study provides a wealth of data for quantitative public management research designs as well as an adaptable framework for measuring a wide range of concepts.

Original languageEnglish (US)
Pages (from-to)513-544
Number of pages32
JournalJournal of Public Administration Research and Theory
Volume25
Issue number2
DOIs
StatePublished - Apr 1 2015
Externally publishedYes

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public management
personnel management
intrinsic motivation
job satisfaction
research planning
autonomy
organization
time
Public management
Autonomy
Job satisfaction
Intrinsic motivation
Wealth
Management research
Personnel management
Item response theory
Research design
Statistical model

ASJC Scopus subject areas

  • Sociology and Political Science
  • Public Administration
  • Marketing

Cite this

Measuring agency attributes with attitudes across time : A method and examples using large-scale federal surveys. / Bertelli, Anthony M.; Mason, Dyana P.; Connolly, Jennifer; Gastwirth, David A.

In: Journal of Public Administration Research and Theory, Vol. 25, No. 2, 01.04.2015, p. 513-544.

Research output: Contribution to journalArticle

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