000			03058nam a2200313 a 4500
003			OSt
005			20230118130248.0
008			071128s19uu xx 00 eng d
040			_cCvSU Main Campus Library
041	0		_aeng
082	0	4	_a519.536 _bR14 2007
100		0	_aRamos, Jonas R. _913505 _eauthor
245	1	0	_aLogistics regression analysis of the decision to migrate by the CvSU-Nursing students from the Philippines / _cby Jonas R. Ramos.
260	0		_aIndang, Cavite : _c2007. _bCavite State University- Main Campus,
300			_axi, 57 pagess : _c28 cm. _billustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
500			_aSpecial Problem (BS Applied Mathematics - - Statistics) Cavite State University.
504			_aIncludes bibliographical references.
508			_aCollege of Arts and Science (CAS)
520	3		_aRAMOS, JONAS ROLLE, "Logistic Regression of the Decision to Migrate by the CVSU — Nursing Students from the Philippines", A Special problem, Bachelor of Science in Applied Mathematics (Major in Statistics), Cavite State University, Indang, Cavite, March 2007. Adviser, Jennifer R. Mojica. This study was conducted to. identify the factors that are significantly related to the student's decisions. It aimed to determine whether a student belongs to migrate or stay group. It sought to formulate a logistic regression model for the student's decision to migrate and work abroad. The study gave emphasis in the age, gender, reasons in choosing nursing as a course, reasons in studying nursing in CVSU, plan after taking up nursing, desire to migrate and work as nurse abroad, expected monthly salary as a nurse in this country and abroad, target country for migration, source of income and number of relatives abroad as variables. The respondents of the study were first-fourth year Bachelor of Science in Nursing (CVSU) enrolled in second semester SY 2006-2007. Most of the nursing students wanted to migrate and work abroad. Three variables showed a significant result based from the chi-square statistics results namely: gender, student's desire to migrate and expected monthly salary abroad. The resulting logistic regression model was: Logit (Y) -9.203 + + 9.896& (2) + 13.314X6(3) Based from the model, only one independent variable highly affected the probability of the student's decision which was the student's desire to migrate and work abroad The total classification rate for the model was percent. It can be inferred that the logit function gives accuracy in terms of correct classification.
541			_cSubmitted to the University Library _d04-16-2007 _eSP-3478
650		0	_aStatistics, Mathematical _99078
690			_92526 _aBachelor of Science in Applied Mathematics _xStatistics
700			_aMojica, Jennifer R. _99588 _eadviser
856			_uhttp://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=cb128d2349b3c2566377c706e905ff7b _yClick here to view thesis abstract and table of contents
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