Objective: A descriptive design, using the methodological approach, is carried throughout the present
study from April 1st 2012 to May 20th 2013 to construct the school physical environment standardized
features tool.
Methodology: An instrument of (141) item is constructed for the purpose of the study. A purposive
sample of (44) school; (22) public and (22) private ones is selected. Content Validity of the instrument is
determined through the use of panel of (11) expert who are specialists in Community Health Nursing and
Community Medicine. Internal consistency reliability, using the split-half technique, is employed through
the computation of Cronbach alpha correlation coefficient of (0.93) for internal scale. Data were collected
through the use of the instrument and the schools' visits as means of data collection. Data are analyzed
through the application of the inferential statistical data analysis procedure of simple Pearson’s
correlation coefficient and factor analysis (principle component) method.
Results: Findings of the study reveal that the features are presented, post their rearrangement, under five
factors that include school services, emergency and school sanitation, food and protection services, safe
school environment, and school environment. So, the new tool can be structured, tested and used as
guide for new investigations. Such presentation of factors reflects the actual model by which the school's
physical environment features can be considered as essential elements for future evaluation through the
utilization of the constructed tool.
Recommendations: The study recommends that the new discovered tool can be used as measure for
future work, and further studies can be carried out on large sample size and nation-wide base.
In this paper, an efficient image segmentation scheme is proposed of boundary based & geometric region features as an alternative way of utilizing statistical base only. The test results vary according to partitioning control parameters values and image details or characteristics, with preserving the segmented image edges.
SM ADAI, BN RASHID, Journal of Current Researches on Social Sciences, 2023
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