INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
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Published Paper Details
Paper Title:
A STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON KNOWLEDGE REGARDING PREMENSTRUAL SYNDROME AMONG ADOLESCENT GIRLS IN SELECTED SCHOOLS AT PERINTHALMANNA
Authors Name:
Anit Eldho
, Fida K R , Bhavindas K K , Sahna Said , Shilpa K Kumar,Mr. Prasanth K
ABSTRACT:
The present study was conducted to assess the effectiveness of structured teaching programme on knowledge regarding premenstrual syndrome among adolescent girls in selected school at Perinthalmanna. The objectives were :Assess the knowledge on premenstrual syndrome among adolescent girls, Evaluate the effectiveness of structured teaching programme on of knowledge regarding Premenstrual Syndrome, Find the association between the level of pre-test knowledge regarding Premenstrual syndrome among adolescent girls with selected demographic variables. The methodology are ;The study design was pre – experimental one group pre-test post-test design. The population in the study were the adolescent girls between the age group of 16 — 18 years studying in selected schools at Perinthalmanna, Malappuram, convenient sampling technique used for selecting, samples (N=60). A structured knowledge questionnaire regarding pre-menstrual syndrome. The tool was validated by experts. The pretesting and reliability of the tool was done before pilot study. After pilot study, main study was conducted and data were collected. The data obtained were analysed based on the objectives and hypothesis using descriptive and inferential statistics. Results :In the present study findings shows that the mean post-test knowledge score (23.1833) of samples was higher than pre-test knowledge score (10.1500). The pre-test knowledge score on PMS shows that majority of samples 28(46.7%) had poor knowledge, 27(45.0%) had average knowledge, 5(8.3%) had good knowledge and no samples have excellent knowledge. The post-test knowledge score shows that majority of the sample 56(93.3%) had excellent knowledge and none of the samples having poor and average knowledge. The calculated ‘t’ value (25.936) was higher than table value (t59=2.0010) at 0.05 level of significance. Hence the research hypothesis was accepted. This shows planned teaching programme was effective in terms of improving the knowledge of samples regarding premenstrual syndrome. The chi square value of age (χ2=9.249, table value 9.488), class of study(χ2=0, Table value 7.851), age of menarche (χ2=2.857,table value 9.488), education of mother (χ2=17.065, table value 18.307), monthly family income (χ2=1.039, table value 5.991), Area of residence (χ2=3.549, table value 9.488) and source of information (χ2=5.674, Table value 15.507)were less than that of the table value which reveals that there was no Associations of pre test knowledge score with the selected demographic variables. Conclusion: The study findings revealed that there was significant increase in the post test knowledge scores than pre test scores, which indicates that the teaching programme given to adolescent girls was effective. The findings of the study revealed that there was no association between pre-test knowledge score and selected demographic variables. Keywords used are premenstrual syndrome, effectiveness, structured teaching programme, adolescent girls, Knowledge.
"A STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON KNOWLEDGE REGARDING PREMENSTRUAL SYNDROME AMONG ADOLESCENT GIRLS IN SELECTED SCHOOLS AT PERINTHALMANNA", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 1, page no.b11-b18, January-2024, Available :http://www.ijnrd.org/papers/IJNRD2401103.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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