PurposeThe purpose of this research is to examine career persistence and job satisfaction of beginning teachers. Design/methodology/approach – Four hundred and fifty‐one tenth grade students from a nationally representative sample, who aspired to be teachers, were examined over a ten year period regarding their career choices. Students who persisted in teaching were compared to students who did not persist with regard to job satisfaction. A job satisfaction model was tested using clusters of variables as guided by Social Cognitive Career Theory (SCCT).FindingsStudents who persisted in teaching were significantly more satisfied than both those who did not persist and those with non‐teaching careers. Beginning teachers were more satisfied with their jobs than those in other occupations. Teachers who had teaching licenses also reported being more satisfied than those who did not have licenses. The social‐contextual factors, i.e. race, socioeconomic status, teaching license, parents' education, and occupation were among the best predictors of job satisfaction. Research limitations/implications – We did not measure self‐efficacy directly. Instead, we used the separate yet highly correlated constructs, self‐concept and locus of control, to represent the self‐efficacy. For improvement, further research may use a more direct measure of self‐efficacy. Practical implications – Awareness of key factors influencing persistence in teaching career and job satisfaction identified in this study would provide school administrators with a sound basis for identifying students who are likely to persist in becoming teachers, and in retaining satisfied teachers. Originality/value – Findings of this study should assist educational administrators to better understand factors related to selection and retention of beginning teachers.

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Control of peripheral hearing loss represents a significant design problem in research examining age-related changes in central auditory processing. Statistical control procedures (e.g., partial correlation or analysis of covariance) represent one means of achieving such experimental control. Although these techniques have been advocated for this purpose by some researchers, potential confounding of the data due to statistical dependence between age and peripheral hearing loss may introduce significant bias into the data distorting the reported results. (Ear Hear 12 1: 85-86)