The development and evaluation of a scale to assess job satisfaction in public universities with item response theory: a Brazilian study

Date21 February 2024
Pages486-503
DOIhttps://doi.org/10.1108/IJPSM-09-2023-0269
Published date21 February 2024
Subject MatterPublic policy & environmental management,Politics,Public adminstration & management
AuthorJerko Ledic Neto,Dalton Francisco Andrade,Hai-Yan Helen Lu,Anna Cecilia Mendonca Amaral Petrassi,Antonio Renato Pereira Moro
The development and evaluation
of a scale to assess job satisfaction
in public universities with
item response theory:
a Brazilian study
Jerko Ledic Neto
Department of Production Engineering and Systems,
Federal University of Santa Catarina, Florianopolis, Brazil and
Faculty of Engineering and Information Technology,
University of Technology Sydney, Sydney, Australia
Dalton Francisco Andrade
Department of Statistics and Information Technology,
Federal University of Santa Catarina, Florianopolis, Brazil
Hai-Yan Helen Lu
Faculty of Engineering and Information Technology,
University of Technology Sydney, Sydney, Australia, and
Anna Cecilia Mendonca Amaral Petrassi and
Antonio Renato Pereira Moro
Department of Production Engineering and Systems,
Federal University of Santa Catarina, Florianopolis, Brazil
Abstract
Purpose –This study aimed to devel op a psychometrically r eliable job satisfact ion (JS) measure for
university employee s, guiding administra tive decisions and monit oring satisfaction ove r time in public
universities.
Design/methodology/approach –A JS survey developed by a Brazilian federal university’s sustainability
committeecontaining 58 items across physical, cognitive and organizational domains was longitudinally tested
with 1,214 responses collected. The data were analyzed usingItem Response Theory (IRT) analysis, employing
the Graded Response Model, with tools such as frequency analysis, item characteristic curve, and full-
information factor analysis in RStudio. The scale’s criterion validity was also established via expert qualitative
interpretation.
Findings –The instrument’s internal consistency was confirmed as the results demonstrated its high
reliability with a marginal reliability coefficient of 0.95. Significant findings revealed that recognition and
supervisor relationships were key discriminators of JS and that workers began to perceive satisfaction when
basic environmental conditions were met.
Research limitations/implications –It is important to mention that the application of this scale is
specifically limited to higher education institutions and may not be directly applicable to other educational
settings or industry sectors without modifications.
Originality/value –Although numerous measures and scales have been developed to assess JS, one
elaborated by using IRT in a public university environment was lacking. Due to shifting dynamics in the
workplace, traditional measurement of JS has proven inadequate, necessitating a more precise, accessible
and updated tool. The developed scale allows precisely targeted interventions to improve JS and can be
IJPSM
37,4
486
This study was financed in part by the Coordenaç~
ao de Aperfeiçoamento de Pessoal de N
ıvel Superior -
Brasil (CAPES) - Finance Code 001.
The current issue and full text archive of this journal is available on Emerald Insight at:
https://www.emerald.com/insight/0951-3558.htm
Received 19 September 2023
Revised 15 December 2023
24 January 2024
Accepted 29 January 2024
International Journal of Public
Sector Management
Vol. 37 No. 4, 2024
pp. 486-503
© Emerald Publishing Limited
0951-3558
DOI 10.1108/IJPSM-09-2023-0269
reapplied to evaluate their effectiveness. This research thus contributes a valuable tool for academic
organizational psychology, enhancing the understanding of the measurement of JS.
Keywords Public sector management, Item response theory, University environment, Scale development,
Measurement instruments
Paper type Research paper
Introduction
When workers experience an emotional state termed job satisfaction (JS), the most desirable
outcomes are likely to materialize in terms of performance. Not surprisingly, JS has a long and
fruitful history in the organizational sciences (Stanton et al., 2002). It has been the subject of
extensive study beginning in the early 1900s and continues to be of interest (Glick, 1992). With
increasing recognition of the value of positive organizational behavior, organizations seek to
improve employees’JS by strengthening the psychosocial resources of employees (Pan et al., 2015).
Research has shown that JS influences productivity and effectiveness (Janib et al., 2021;
Montuori et al., 2022;Ngirande, 2021;Sadeghi et al., 2012) by affecting various performance
outcomes, such as the quality of life, stress, burnout, anxiety, turnover intention (Briganti
et al., 2023;Chen and Wang, 2019;Holm et al., 2015;Pan et al., 2015), workplace incivility (Chen
and Wang, 2019;Hur et al., 2015) and absenteeism (Montuori et al., 2022;Olafsen et al., 2017;
Schroder, 2008). Although, the concept of JS is a heavily researched area within industrial
psychology, sociology, and the field of organizational behavior (Al-Zoubi, 2012), definitions of
JS vary between authors (Masum et al., 2015). Nonetheless, Locke (1969)’s definition is still
relevant and widely cited. In his paper called “What is Job Satisfaction?”Locke (1969)
describes JS as the pleasurable emotional state resulting from the appraisal of one’s job as
achieving or facilitating the achievement of one’s job values.
Numerous metrics and scales have been developed to measure JS. The first contemporary
measure of JS, published by Hoppock in 1935, was a 4-item measure of general JS (Stanton
et al., 2002). Some of the most widely used instruments are the Minnesota Satisfaction
Questionnaire (Weiss et al., 1967), the Job Satisfaction Index (Smith, 1969), Michigan
Organizational Assessment Questionnaire Job Satisfaction Subscale (Cammann et al., 1979),
and Job Satisfaction Survey (Spector, 1985). However, the utility of some instruments in
measuring work satisfaction among academicians has been questioned (Conklin and
Desselle, 2007) due to the unique and evolving nature of the university environment.
In general, if characteristics of work situations, differ from those that existed when the
scales were constructed, there may have been a gradual erosion of the scales’measurement
properties (Roznowski, 1989). Devellis and Thorpe (2021) argue that scale validation is a
cumulative, ongoing process, and changes in measurement characteristics over time, known
as item drift (Roznowski, 1989) should be taken into account when developing a reliable and
updated instrument for the university context.
In response to these concerns, the data was analyzed using item response theory (IRT) to
develop an updated and reliable JS instrument tailored to the unique characteristics of the
university environment. To Reise et al. (2005), IRT is a group of mathematical models used to
classify items on a scale, and to evaluate the quality of an item, serving to produce
psychometric properties about the construct. Although classical test theory (CTT) has served
test development well over several decades, IRT has become mainstream as the theoretical
basis for measurement (Embretson and Reise, 2013) and was rapidly embraced by test
manufacturers as a much more realistic model (De Ayala, 2013), allowing for comparisons
between workers, institutions, and over time (Ledic et al., 2022).
The development of a JS metric using data collect in a Brazilian public higher education
institution is motivated by the challenges this kind of institution face. Operating under tight
budget limitations, Brazilian public universities often place si gnificant demands on
A scale to
assess job
satisfaction
487

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