Understanding teacher self-efficacy, job satisfaction, and commitment in Kazakhstan: An analysis of TALIS data using multilevel modeling

Matthew Courtney; Mehmet Karakus; Elaine Sharplin; Alima Ibrasheva; Daniel Hernández-Torrano; Janet Helmer; Zakir Jumakulov

Understanding teacher self-efficacy, job satisfaction, and commitment in Kazakhstan: An analysis of TALIS data using multilevel modeling

Matthew Courtney, Mehmet Karakus, Elaine Sharplin, Alima Ibrasheva, Daniel Hernández-Torrano, Janet Helmer, Zakir Jumakulov

Graduate School of Education

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Teacher Development
Publication status	Accepted/In press - Sept 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@article{88c264ec9b1b428386338843b96005bc,

title = "Understanding teacher self-efficacy, job satisfaction, and commitment in Kazakhstan: An analysis of TALIS data using multilevel modeling",

author = "Matthew Courtney and Mehmet Karakus and Elaine Sharplin and Alima Ibrasheva and Daniel Hern{\'a}ndez-Torrano and Janet Helmer and Zakir Jumakulov",

year = "2022",

month = sep,

language = "English",

journal = "Teacher Development",

issn = "1366-4530",

publisher = "Routledge",

}

TY - JOUR

T1 - Understanding teacher self-efficacy, job satisfaction, and commitment in Kazakhstan

T2 - An analysis of TALIS data using multilevel modeling

AU - Courtney, Matthew

AU - Karakus, Mehmet

AU - Sharplin, Elaine

AU - Ibrasheva, Alima

AU - Hernández-Torrano, Daniel

AU - Helmer, Janet

AU - Jumakulov, Zakir

PY - 2022/9

Y1 - 2022/9

M3 - Article

SN - 1366-4530

JO - Teacher Development

JF - Teacher Development

ER -