LEVELS OF STRESS AMONG THE PUBLIC PRIMARY SCHOOL TEACHERS: A CASE OF PUBLIC PRIMARY SCHOOLS IN NAIVASHA DISTRICT
release_kydjrclj2zfp7fwhzvxnh2q6h4
by
Isabel Sadya Omondi,
Dr. M. W. Kariuki
Abstract
Purpose: The purpose of the study was to establish the levels of stress among the public primary school teachers: a case of primary schools in Naivasha district.Methodology: The study used descriptive research design. The target population in this study was 665 public primary school teachers. The sample of the study was 66 public primary school teachers from the four zones in Naivasha district. Primary data was collected through the administration of the questionnaires. A questionnaire is a pre-formulated written set of questions to which the respondents record the answers usually within rather closely delineated alternatives. Responses to the questionnaires were tabulated, coded and processed by use of a computer Statistical Package for Social Science (SPSS) software to analyze the data using descriptive statistics. This generated quantitative reports through tabulations, percentages, and measures of central tendency.Results: Results from the study revealed that pressures of assessments targets and inspection, changes to pay and benefits, teacher student interaction and excessive workload and level of stress among public primary teachers are positively and significant related.Unique contribution to theory, practice and policy: The study recommended that the Ministry of education and TSC should develop a policy on stress management to guide the induction; operation and counseling of public primary school teachers in their day to day duties so as to sufficiently support them manage stress and prevent further job performance effects of stress.
In application/xml+jats
format
Archived Files and Locations
application/pdf
704.7 kB
file_efjeudsikrdu3mjto2zv4y353m
|
ajpojournals.org (publisher) web.archive.org (webarchive) |
article-journal
Stage
published
Date 2017-01-03
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar