Publication Cover
Educational Psychology
An International Journal of Experimental Educational Psychology
Volume 42, 2022 - Issue 3
1,063
Views
7
CrossRef citations to date
0
Altmetric
Articles

Understanding teachers’ job satisfaction and flow: the dual process of psychological needs

ORCID Icon, , ORCID Icon &
Pages 316-333 | Received 23 Aug 2019, Accepted 23 Sep 2021, Published online: 12 Oct 2021
 

Abstract

Drawing from self-determination theory, the current study examined how teachers’ satisfaction or frustration of psychological needs might be related to their job satisfaction, intention to leave, and flow experience during teaching (N=143, K-12 teachers in the Midwestern U.S.). In support of the Dual Process Model, the current results revealed the different predictive utility of need satisfaction vs. frustration for each of three needs. Specifically, need satisfaction was a stronger predictor of positive outcomes (e.g. job satisfaction and flow) than need frustration while need frustration was a stronger predictor of negative outcomes (e.g. intention to leave) than need satisfaction. Job satisfaction was predicted by all three types of psychological needs (competence, relatedness, and autonomy). Unlike job satisfaction, teachers’ intention to leave was mostly tied to the need for autonomy, and teachers’ enjoyment of teaching (flow experience) was primarily a function of the need for competence. Educational and policy implications are discussed.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 759.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.