2012
DOI: 10.1177/0022429412454723
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Preservice Music Teachers’ Employment Preferences

Abstract: This study was designed to investigate preservice music teachers’ ( N = 187) perceptions of employment preferences when considering future teaching positions. Adaptive Conjoint Analysis, a business market–based research tool, was used to determine preferences for personal factors (e.g., salary, commute), school environmental factors (e.g., administrative support, school type, student race-ethnicity, student socioeconomic status [SES]), and music teaching factors (e.g., resources, facilities, program sustainabi… Show more

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Cited by 22 publications
(23 citation statements)
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“…Adaptive conjoint analysis (henceforth ACA) is a survey design that addresses this concern. Originally developed for marketing research, several recent studies of teacher mobility decision-making utilized ACA because of multiple distinct advantages (Horng, 2009; Robinson, 2012). First, the ACA format asks respondents to choose between different attributes of a school profile such that they must express relative preferences.…”
Section: Methodsmentioning
confidence: 99%
“…Adaptive conjoint analysis (henceforth ACA) is a survey design that addresses this concern. Originally developed for marketing research, several recent studies of teacher mobility decision-making utilized ACA because of multiple distinct advantages (Horng, 2009; Robinson, 2012). First, the ACA format asks respondents to choose between different attributes of a school profile such that they must express relative preferences.…”
Section: Methodsmentioning
confidence: 99%
“…This study used an Embedded Mixed Method design (Creswell & Plano Clark, 2011) utilizing Adaptive Choice-Based Conjoint Analysis (ACBC). This is similar to the procedure used by Horng (2009) and Robinson (2012), described above. One key difference between the ACBC methodology used in this study and the Adaptive Conjoint Analysis (ACA) methodology used in the prior studies is the introduction of a forced choice between competing options, rather than a ranking of a single option (Johnson, Huber, & Bacon, 2003), which more closely mimics the choice teachers face in the labor market.…”
Section: Methodsmentioning
confidence: 91%
“…Two more promising studies are those done by Horng (2009) and Robinson (2012). Each of these studies used Adaptive Conjoint Analysis to attempt to find the relative importance of different factors when teachers made trade-offs between hypothetical schools.…”
Section: Review Of the Literaturementioning
confidence: 99%
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“…While financial incentives do affect teacher supply in hard-to-staff schools (Clotfelter, Glennie, Ladd, & Vigdor, 2008;Springer et al, 2016), and can yield temporary improvements, it does not address the root cause 876 for teacher attrition (Boyd et al, 2011). According to both prospective (Tran & Smith, 2020a) and active teachers (Balu, Beteille, & Loeb, 2009;Horng, 2009;Kraft, Marinell, & Shein-Wei Yee, 2016) school administrative support has been reported to be more critical than any other single factor for teacher retention in research throughout the globe (Ladd, 2011;Mancuso, Roberts, & White, 2010;Robinson, 2012;Rhodes, Nevill, & Allan, 2004;Tran & Dou, 2019). This is in line with the broader retention literature outside of education that suggests successful efforts to retain employees cannot be restricted only to financial factors such as salaries, as addressing pecuniary concerns is necessary but insufficient by itself (Ambrosius, 2018;Boyd et al, 2011;Tran & Smith, 2020b).…”
Section: Educator Turnover Challenges and Its Detriment To Studentsmentioning
confidence: 99%