,""" ""'" _ IIV G " _ 1..- ..""j.c::l I

!l'VIfi'Y'lfl'll'f}.:m1d~'U1J~'U'U'VI1'l ~'l r1:!-Jmdl'\.-l'Ur1rum II'\.-l'l(;1'U llfl:::n 1dd1Jdm1:!-J~lmnl'l1!l'l (;1'U'VI:!-J(;1!l, , 'lJ

l~ 'U'tl [;]!luniVi (;1'i'VItJ1 ~tJ :!-J'\.-l1'i'VItJ1~tJ P\'1'Ur11'U'Vld'ih!1J-J l~!l L1lu~'J'U'\.-lrt'l'll!l'l m d~m:n

(;11:!-J'\.-l~n ~ mmruru1 n 1 d~ m:n :!-J'\.-llUru"Vi (;1~ l'ln'i'1l1~(;1'i'VItJ1~!1J-J'U1 n 1d'lJ ~ ~

~rlUfi9l'l 'fl1JuuitJ. (2556). fl'Y/fl'Wf/'tlfJ\lnJ]'z<lUmrww'VI1\1fI\lfljJ WmUWMl.JfI1LLU\lI1IW LLf/::wnfur'I q ." '11

w:rwz<l 'W'l n?'tlfJ\ll1Iwd iJl1I'fJfI':J'ljJlj{j)U8W'Y/'l\lfJ 'l mru'tlfJ\lUn L1t.JW Lwr.f\luf{j)ww'Y/u1.. .~ld'u'Vmfi nPl.J.J. (9l'l1Vlm~W4Ulmd'). nd'llVl'Vi'1: uru~l'l1Vlm~tJ J.Jvn1Vlm~iJ.Pl1'Url1'UV1J1hW4.m91d'~~mmn~1d'il'Viufi: ~'Jl'Jm'l1~l'ln91d'mfirubU1 rrru'i:ru" ~ ~

•.. •.. ,n1 i1~tJ rlf'lUih !PllJ'IVlmm Y1'fl 1) ~m~ld'::;C'llJ'lJ'fl'lrl'J1J.J~!PlVltJUVl1'1111mru'lJ'fl'lum1'tJu

q q q

1Ur.r'lW1(PlUt,mlJ1'2) ~m~lrl'J1J.J~J.J~Ufid'::;Wj1'1 n1d'~UlJ~UUV11'1~'1rll.J n1n~Urlruf11llvi'll'lUll~::;q q q

,n1 d'flJ ~rl'J1J.J~ 1J.J1d'b]'lJ'fl'll'lUnlJ rl'J 1J.J~(PlVltJUVl1'1'fl1d'J.Jru'lJ'fl'lum1'tJ U1U~'1V1rr!PlUUVllJl' 3) lY1'fl

" q q

Yl1U1tJfl'J 1J.JU(PlVl~UVl1'1'flld'J.Jru'lJ'fl'l un l1'tJu1U~'1V1rr(PlUUVl1J1'Cii''JtJn1d'~UlJ~~UVl1'1~'1 rlJ.Jn 1n ~U

JJfitJJ.J~mntJ~ 6 'lJ'fl'lh'l~tJu1Jlmnf!Pl ~'1V1rr(PlUUVl1J1'1Jd'::;r.htJmd'~mn 2555 91U'JU 221 rlU

~1Cii'J.J191nn1d'~J.J~'J'fltJ1'1lllJlJlltl'l.rU1.JiJ(stratified random sampling) lrl1'fl'lii'fl~1-num:i'1~iJ

f)'fl ml'ldrr(Pl'Vi~'1~'lJJl1'Vi9l'l'lJ'fl'lmJ.J~'lJJl1'Vi9l'l J.Jll'ldrr!Plmd'~UlJ~UUVl1'1~'1rlJ.J J.Jll'ld'rr!Plmn~uq. q

,~'fltJ~::; f11l '!l~iJ

f11~J.J1J:i'::;~Vli~VI~J.J~ufilllJlJl~tJf~u (Pearson's product moment correlation) ll~::;mi1lrln::;1f

bl(Plbl'fltJ'Vi'!1~ru(multiple regression analysis) lllJlJl~J.J~'Jll1Jd'V1~::;iu (stepwise)

I:-J~n1d'';j~tJ'VilJ'h fl'J1J.J~(PlVltJUVl1'1'fll:i'J.Jru1(PltJ:i''JJ.Jll~::;ntJ Cii'1U'lJ'fl'Iun ~tJU.rUJJfitJJ.J~m~lq

U(PlVl~UVl1'1'fl1iJ.JruCii'lun1~'119'fl~1 Ui::;C'llJ~'1~ (Pli'fl'l~'1m f)'fl Cii'lun 1d'~(PlminlJU b1dVl1ll~::;Cii'lU, ,

IV' tr 0 _ •••••• Q/ •••••• .dl

rl'J1J.JJ.JUrl'lVll'1'fllmrul'l1J.J~1(PllJ mi~UlJ~UUVl1'1 ~'1rlJ.J91nrli'fllJrl:i''J 91n rlnl~::;91m'Vi'flU md'. "

,miJ.Jru'flti1'1;Jumhr1ruVll'1~n~vh::;C'llJ .01 (r= .580, .387, .409, .609 ll~::; .611 l'lll.JihC'llJ,

p<.O 1 VJnmru.) llr;l;J l~tJ'Imd'~UlJ~'4UVl1'1~'1 rlJ.J91nrld''fllJrl f'J mn ~U"Jruf11llvi'll'lUll~::;md'flJt

rl'J1J.J~1J.J1:i'bl'lJ'fl'll'lWviltiU~ ~1J.JlmYl 1U1iJrl'J1J.JU(PlVl~mll'1'fl 1rJ.Jru 'lJ'fl'l un ~tm.ruJJ fitJJ.J~ mn tJ

~ 6 1U~'1Vlrr(PlUUVllJ1'1Cii''i:(PltJ'VilJ~1~'JYllU1tJ~~~~!Pl~1Cii'flJmir1(Pll~'fln l"ihm liJU~l C'llJllm~'flmiq •

flJ ~rl'J1J.J~1l.J1ibl'lJ'fl'll'lU ;'1 ~ lJ.Jl d'b]'flfilJ 1tJrl'J1J.Jll1..h1Jd''JU'lJ'fl'lfl'J 1J.JU!PlVltJUVl1'1'fl1d'J.JrulCii''fltJ1'1iJ" .UtJ~1r1ruVl1'1~n~~i::;C'llJ .01 'i:(PltJiJl'il~J.J1Jd'::;~Vlin1nllU1mvilnlJ .373 (R2 = .373) ld'fll~J.J~'J

ll1Jd'Yl1U1tJ~'fl n 1i~UlJ~UUVll'1 ~'1rlJ.J91n rl i'fllJ rlf'J'Vi lJ~l f11~ l.J1Jr::;~Vlimd'Yl lU 1tJl~J.J~U'fltJ1'1iJq

THE EFFECTS OF SOCIAL SUPPORT, SELF ESTEEM AND SELF-EFFICACY ON

RESILIENCE OF STUDENT IN NONTHABURI PROVINCE

AN ABSTRACT

BYSUKONJIT UPANANCHAI

Presented in Partial Fulfillment of the Requirements for the

Master of Education Program in Developmental Psychology at Srinakharinwirot University

May 2013

Sukonjit Upananchai. (2013). The Effects of Social support, Self esteem and Self-efficacy on

Resilience of Students in Nonthaburi Province. Master'sproject,M.Ed.(Development

Psychology). Bangkok: Graduate School, Srinakharinwirot University. Project

Advisor: Assistant Professor Vitanya Vanno.

The purposes of this research were 1) to study the resilience level of the students in

Nonthaburi province, 2) to study the relationships between social support, self esteem, self-

efficacy, and resilience of the students in Nonthaburi province, and 3) to predict the

resilience of the students in Nonthaburi province resulted from the basis of social support,

self esteem, and self-efficacy.

The samples were 221 students studying in Mathayomsuksa 6 in Pakkred

Secondary School, Nonthaburi province in the academic year 2012, who were selected by

stratified random sampling. The measure instruments were 1) the Resilience Quotient (RQ)

Scale from the Department of Mental Health of Thailand, 2) the social support scale 3) the

self esteem scale and, 4) the self-efficacy scale. The data were analyzed based on the

descriptive statistics such as frequency, percentage, mean, standard deviation, including

the inferential statistics such as Pearson's product moment correlation coefficient and

stepwise multiple regression analysis.

The results of the research revealed that the overall and subscale score of

resilience of the students studying in Mathayomsuksa 6 in Nonthaburi province were at the

normal level according to the criteria of the Department of Mental Health of Thailand. Based

on the research, the resilience pertaining to the moral support of the students studying in

Mathayomsuksa 6 in Nonthaburi province was highest. The second highest was the problem

resolution and emotional stability respectively. The supporting from family, teacher, and

friend, self esteem and self efficacy had significantly positive correlations with resilience at

the .01 level r = .580, .387, .409, .609 and .611 respectively, p<.01 in all cases). However,

the results showed that resilience of the students studying in Mathayomsuksa 6 in

Nonthaburi province can be predicted only for the family support, self efficacy, and self

esteem, the percentage of the predicted resilience was 52.8 (R2

= .528). The best predicting

variable was the self efficacy which could be explained the significant statistical variable of

resilience at the .01 level with the predicting coefficient rate at .373 (R) = .373). When added

the predicting variable which was the social family support, the predicting coefficient rate

significantly increased at .01 which increased to .504 (R2 = .504). When added the

predicting variable which was the self esteem, the predicting coefficient rate significantly

increased at .01 which increased to 52.8 (R2 = .528).