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INTERNATIONAL STUDENT SATISFACTION AND INSTITUTIONAL
REPUTATION IN HIGHER EDUCATION: A STRUCTURAL EQUATION
MODELLING ANALYSIS OF SERVICE QUALITY DIMENSIONS
Bani Singh Sawhney
Independen Resea ch Schola , Cali o nia Public Uni e si y, Delawa e, Uni ed S a es o Ame ica
Ci e This A icle: Bani Singh Sawhney, “In e na ional S uden Sa is ac ion and Ins i u ional Repu a ion
in Highe Educa ion: A S uc u al Equa ion Modelling Analysis o Se ice Quali y Dimensions”,
In e na ional Jou nal o Cu en Resea ch and Mode n Educa ion, Volume 10, Issue 2, July - Decembe , Page
Numbe 85-93, 2025.
Copy Righ : © C ys al Pen Publica ion, 2025 (All Righ s Rese ed). This is an Open Access A icle dis ibu ed unde he
C ea i e Commons A ibu ion License, which pe mi s un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided
he o iginal wo k is p ope ly ci ed.
DOI:
Abs ac :
Se ice quali y and s uden sa is ac ion ep esen c i ical de e minan s o ins i u ional epu a ion and compe i i e
ad an age in global highe educa ion ma ke s. This s udy in es iga es he s uc u al ela ionships among highe educa ion se ice
quali y dimensions, in e na ional s uden sa is ac ion, and ins i u ional epu a ion using da a om 387 in e na ional s uden s ac oss
28 ins i u ions in di e se geog aphic con ex s. Employing s uc u al equa ion modelling (SEM) wi h maximum likelihood
es ima ion, he esea ch examines bo h academic and non-academic se ice quali y dimensions as p edic o s o s uden
sa is ac ion and hei indi ec e ec s on ins i u ional epu a ion. Findings e eal ha non-academic se ice quali y dimensions
(campus acili ies, s uden suppo se ices, accommoda ion, cul u al in eg a ion p og ams) exe signi ican ly s onge di ec
e ec s on s uden sa is ac ion (β=0.68, p<0.001) compa ed o academic se ice quali y dimensions ( eaching quali y, cu iculum
ele ance, academic suppo ) (β=0.42, p<0.001). S uden sa is ac ion demons a es s ong media ion e ec s, accoun ing o 58%
o he o al e ec be ween non-academic se ice quali y and ins i u ional epu a ion. Model i indices con i m accep able model
speci ica ion (χ²/d =2.14, CFI=0.927, RMSEA=0.068). Geog aphic egion mode a es some ela ionships, wi h in e na ional
s uden s in de eloping coun y con ex s assigning highe impo ance weigh s o non-academic suppo se ices. These indings
challenge p e ailing assump ions ha academic quali y p edominan ly shapes s uden sa is ac ion and ins i u ional epu a ion,
sugges ing ha holis ic s uden expe iences encompassing suppo se ices, cul u al in eg a ion, and campus en i onmen p o e
equally o mo e in luen ial. The esea ch p o ides e idence-based guidance o ins i u ional esou ce alloca ion and s a egy
p io i iza ion in compe i i e in e na ional s uden ec ui men con ex s.
Key Wo ds: Se ice Quali y, In e na ional S uden s, S uden Sa is ac ion, Ins i u ional Repu a ion, Highe Educa ion, S uc u al
Equa ion Modelling
1. In oduc ion:
1.1 Backg ound and Con ex :
The global highe educa ion ma ke has expe ienced unp eceden ed g ow h and in ensi ying compe i ion o e he pas
wo decades. In e na ional s uden en olmen has expanded om app oxima ely 2.1 million s uden s in 2000 o 6.9 million in
2024, ep esen ing a 228% inc ease o e his 24-yea pe iod (UNESCO, 2024). This expansion e lec s mul iple d i e s including
accele a ing globaliza ion, he pu sui o in e na ional c eden ials, economic de elopmen in eme ging ma ke s, and ins i u ional
in e na ionaliza ion s a egies. Simul aneously, compe i ion o in e na ional s uden s has in ensi ied as an inc easing numbe o
ins i u ions ecognize e enue and epu a ional bene i s associa ed wi h in e na ional en olmen .
Wi hin his highly compe i i e con ex , s uden sa is ac ion eme ges as a c i ical s a egic a iable in luencing ins i u ional
epu a ion, s uden e en ion, alumni engagemen , and en olmen sus ainabili y. Resea ch demons a es ha sa is ied in e na ional
s uden s gene a e posi i e wo d-o -mou h, enhance ins i u ional epu a ion, and es ablish las ing ela ionships wi h hei
ins i u ions ex ending beyond hei en olmen pe iods (Moslehpou e al., 2020). Con e sely, dissa is ied s uden s gene a e
nega i e wo d-o -mou h, damage ins i u ional epu a ion, and c ea e ba ie s o u u e en olmen g ow h (B own and Mazza ol,
2009).
The quali y o educa ional and suppo se ices ep esen s a p ima y de e minan o in e na ional s uden sa is ac ion.
Howe e , he ela i e impo ance o academic e sus non-academic se ice dimensions emains con es ed in li e a u e. Some
esea ch emphasizes academic quali y and eaching excellence as p ima y d i e s o sa is ac ion, while o he s udies iden i y
suppo se ices, campus en i onmen , and cul u al in eg a ion as equally o mo e in luen ial (In e na ional S uden Ba ome e ,
2023). This heo e ical ambigui y c ea es unce ain y ega ding ins i u ional esou ce alloca ion p io i ies, po en ially leading o
subop imal in es men decisions.
1.2 P oblem S a emen :
Despi e subs an ial esea ch examining s uden sa is ac ion in highe educa ion con ex s, signi ican knowledge gaps
emain ega ding he s uc u al ela ionships among se ice quali y dimensions, s uden sa is ac ion, and ins i u ional epu a ion,
pa icula ly wi hin in e na ional s uden popula ions. Speci ically, h ee c i ical ques ions emain inadequa ely add essed by
exis ing li e a u e:
Fi s , wha a e he ela i e magni udes o e ec s be ween academic and non-academic se ice quali y dimensions on
s uden sa is ac ion? Li e a u e p o ides inconsis en e idence, wi h some s udies p i ileging academic ac o s while o he s
emphasize suppo se ices. This inconsis ency cons ains ins i u ional abili y o p io i ize esou ce alloca ion e ec i ely.
Second, h ough wha mechanisms do se ice quali y dimensions in luence ins i u ional epu a ion? Does s uden sa is ac ion
media e hese ela ionships, o do se ice quali y dimensions exe di ec epu a ional e ec s independen o sa is ac ion?
Unde s anding hese pa hways p o es essen ial o s a egic planning.
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Thi d, how do con ex ual a iables such as geog aphic o igin, ins i u ional ype, and p og am le el mode a e
ela ionships be ween se ice quali y, sa is ac ion, and epu a ion? Geog aphic a ia ion in sa is ac ion de e minan s would
necessi a e di e en ia ed ins i u ional s a egies a he han uni o m app oaches.
1.3 Resea ch Objec i es:
This s udy aims o:
Examine he s uc u al ela ionships be ween academic and non-academic se ice quali y dimensions, in e na ional
s uden sa is ac ion, and ins i u ional epu a ion
Assess he magni ude and s a is ical signi icance o di ec and indi ec e ec s wi hin a comp ehensi e s uc u al model
E alua e he media ion ole o s uden sa is ac ion in he ela ionship be ween se ice quali y and ins i u ional epu a ion
Examine geog aphic and demog aphic mode a ion e ec s on model ela ionships
P o ide e idence-based ecommenda ions o ins i u ional esou ce alloca ion in in e na ional s uden ec ui men and
e en ion con ex s
1.4 Resea ch Ques ions:
To wha ex en do academic e sus non-academic se ice quali y dimensions p edic in e na ional s uden sa is ac ion,
and which dimensions exe g ea e in luence?
How does s uden sa is ac ion media e he ela ionship be ween se ice quali y dimensions and ins i u ional epu a ion?
Wha a e he di ec , indi ec , and o al e ec s o se ice quali y on ins i u ional epu a ion, and wha p opo ion ope a es
h ough sa is ac ion media ion?
Do ela ionships be ween se ice quali y, sa is ac ion, and epu a ion a y signi ican ly ac oss geog aphic egions and
s uden demog aphic segmen s?
Wha ins i u ional implica ions eme ge om hese indings o s a egic p io i iza ion o se ice in es men s?
1.5 Signi icance o he S udy:
This esea ch add esses c i ical heo e ical and p ac ical gaps in unde s anding in e na ional s uden sa is ac ion
de e minan s and hei epu a ional consequences. Theo e ically, he s udy ad ances unde s anding o se ice quali y mechanisms
in highe educa ion con ex s by simul aneously examining academic and non-academic dimensions and hei combined e ec s on
epu a ion h ough sa is ac ion media ion. Empi ically, he esea ch p o ides quan i a i e e idence ega ding ela i e e ec
magni udes, enabling compa ison ac oss dimensions and iden i ica ion o p io i y in es men a eas.
P ac ically, he esea ch deli e s ac ionable guidance o ins i u ional leade s con on ing esou ce alloca ion decisions
amid compe i i e in e na ional s uden ma ke s. By iden i ying which se ice quali y dimensions mos s ongly in luence s uden
sa is ac ion and ins i u ional epu a ion, ins i u ions can s a egically p io i ize in es men s o maximize epu a ional e u ns and
compe i i e ad an age. The esea ch pa icula ly bene i s ins i u ions in eme ging highe educa ion ma ke s whe e compe i ion
in ensi ies and di e en ia ion p o es inc easingly challenging.
2. Li e a u e Re iew:
2.1 Se ice Quali y in Highe Educa ion Con ex s:
Se ice quali y ep esen s he deg ee o which an o ganiza ion's se ices mee o exceed s akeholde expec a ions
(Pa asu aman e al., 1988). In highe educa ion, se ice quali y encompasses mul iple dimensions e lec ing he complexi y o
educa ional expe iences. Zei haml e al. (2016) iden i y se ice quali y dimensions ele an o highe educa ion as including
eliabili y (consis en deli e y o p omised se ices), esponsi eness (p omp se ice deli e y), assu ance (compe ence and
us wo hiness), empa hy (unde s anding indi idual s uden needs), and angibles (physical acili ies and equipmen quali y).
Speci ically, wi hin highe educa ion con ex s, se ice quali y encompasses bo h academic and non-academic
dimensions. Academic se ice quali y ela es o eaching e ec i eness, cu iculum ele ance, academic ad ising, and esea ch
oppo uni ies. Non-academic se ice quali y encompasses campus acili ies, accommoda ion quali y, suppo se ices, social and
cul u al p og amming, and adminis a i e e iciency (O'Neill and Palme , 2004).
Resea ch examining se ice quali y in highe educa ion demons a es ha quali y pe cep ions signi ican ly in luence
s uden sa is ac ion, e en ion, and loyal y (Ladha i, 2009). Addi ionally, se ice quali y dimensions p edic s uden in en ions o
ecommend ins i u ions, ep esen ing c i ical epu a ional ou comes (Hennig-Thu au e al., 2001). Howe e , esea ch examining
in e na ional s uden popula ions speci ically emains limi ed, wi h much exis ing li e a u e ocusing on domes ic s uden con ex s
o agg ega ing esul s ac oss di e se s uden popula ions.
2.2 In e na ional S uden Sa is ac ion:
In e na ional s uden sa is ac ion eme ges as inc easingly impo an ou come a iable in highe educa ion esea ch and
p ac ice. In e na ional s uden s expe ience unique challenges including cul u al adjus men , language ba ie s, geog aphic
sepa a ion om suppo ne wo ks, and na iga ion o un amilia academic sys ems and ins i u ional con ex s (And ade and E ans,
2009). These dis inc i e challenges c ea e sa is ac ion de e minan s di e ing om domes ic s uden expe iences.
Resea ch on in e na ional s uden sa is ac ion iden i ies mul iple in luen ial ac o s. Academic ac o s including eaching
quali y, cu iculum ele ance, and academic suppo signi ican ly p edic sa is ac ion (Moslehpou e al., 2020). Simul aneously,
non-academic ac o s including accommoda ion quali y, social in eg a ion, suppo se ices, and cul u al in eg a ion p og amming
signi ican ly in luence sa is ac ion (Lanphie , 2021).
No ably, ecen esea ch sugges s ha non-academic suppo se ices may p o e pa icula ly impo an o in e na ional
s uden s. INTO Uni e si y Pa ne ships' 2023 In e na ional S uden Expe ience Su ey o 486 in e na ional s uden s a 8 US
ins i u ions epo ed 96% sa is ac ion wi h access o suppo s a , 95% sa is ac ion wi h s uden se ices, and 94% sa is ac ion
wi h immig a ion suppo , sugges ing ha a ge ed suppo se ices add essing in e na ional-speci ic needs gene a e high
sa is ac ion. This inding challenges assump ions ha academic quali y alone de e mines sa is ac ion among in e na ional
popula ions.
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Geog aphic di e ences in sa is ac ion de e minan s ha e been iden i ied. In e na ional s uden s o igina ing om
de eloping coun ies epo pa icula impo ance o ins i u ional suppo o cul u al in eg a ion, accommoda ion assis ance, and
ca ee guidance (Moslehpou e al., 2020). Con e sely, in e na ional s uden s om de eloped coun ies emphasize academic igo ,
esea ch oppo uni ies, and p o essional ne wo king possibili ies. These geog aphic a ia ions necessi a e di e en ia ed
ins i u ional s a egies esponsi e o sou ce ma ke cha ac e is ics.
2.3 Ins i u ional Repu a ion in Highe Educa ion:
Ins i u ional epu a ion ep esen s he collec i e assessmen o an ins i u ion's us wo hiness, compe ence, and alue by
mul iple s akeholde g oups including p ospec i e s uden s, en olled s uden s, alumni, employe s, and b oade socie y (Fomb un
and Van Riel, 2004). Repu a ion p o es inc easingly impo an in highe educa ion compe i ion, in luencing ins i u ional abili y o
a ac high-calibe s uden s, acul y, esea ch unding, and philan h opic suppo .
Highe educa ion epu a ion de i es om mul iple sou ces including academic p es ige and esea ch excellence, eaching
quali y, s uden ou comes, campus acili ies and en i onmen , ins i u ional alues and cul u e, and s akeholde sa is ac ion
(B ewe and Zhao, 2010). Ins i u ional epu a ion demons a es s ong associa ions wi h en olmen applica ions, s uden
selec i i y, and ui ion e enue (Bowman and Bas edo, 2011).
S uden sa is ac ion con ibu es meaning ully o ins i u ional epu a ion cons uc ion. Sa is ied s uden s gene a e posi i e
wo d-o -mou h, ecommend ins i u ions o p ospec i e s uden s and hei social ne wo ks, main ain posi i e alumni ela ionships,
and publicly ad oca e o hei ins i u ions h ough online e iews and social media (B own and Mazza ol, 2009). Con e sely,
dissa is ied s uden s damage ins i u ional epu a ion h ough nega i e wo d-o -mou h and online e iews (Hennig-Thu au e al.,
2001). Resea ch indica es ha in e na ional s uden sa is ac ion pa icula ly in luences ins i u ional epu a ion among in e na ional
p ospec i e s uden popula ions, as pee ne wo ks and alumni e e als p o e especially in luen ial in in e na ional s uden
decision-making p ocesses (Can well, 2011).
2.4 Rela ionships Among Se ice Quali y, Sa is ac ion, and Repu a ion:
The heo e ical ela ionships among se ice quali y, sa is ac ion, and epu a ion ha e been examined in ma ke ing and
business con ex s, wi h g owing applica ion o highe educa ion. The expec a ion-discon i ma ion pa adigm (Oli e , 1980) posi s
ha sa is ac ion esul s om compa ison be ween expec ed and ac ual se ice quali y, wi h posi i e discon i ma ion (ac ual
pe o mance exceeding expec a ions) gene a ing sa is ac ion. This amewo k sugges s ha se ice quali y di ec ly in luences
sa is ac ion, which subsequen ly a ec s epu a ion and beha io al ou comes.
Se e al s udies ha e empi ically examined hese ela ionships in educa ional con ex s. Moslehpou e al. (2020)
in es iga ed e ec s o Taiwan highe educa ion se ice quali y on in e na ional s uden sa is ac ion and ins i u ional epu a ion,
inding ha bo h academic and non-academic se ice quali y dimensions p edic ed s uden sa is ac ion, which in u n signi ican ly
p edic ed ins i u ional epu a ion. The s udy iden i ied s uden sa is ac ion as a pa ial media o be ween se ice quali y and
epu a ion, wi h bo h di ec and indi ec pa hways demons a ing s a is ical signi icance.
Howe e , esea ch gaps emain ega ding he ela i e magni udes o academic e sus non-academic se ice quali y
e ec s on sa is ac ion, he comple eness o sa is ac ion media ion, and a ia ion ac oss geog aphic con ex s. Addi ionally, mos
exis ing s udies examine ei he academic o non-academic dimensions sepa a ely a he han simul aneously wi hin
comp ehensi e models. This agmen ed app oach cons ains heo e ical unde s anding o how mul iple se ice dimensions
in e ac in in luencing s uden ou comes.
2.5 S uc u al Equa ion Modelling in Highe Educa ion Resea ch:
S uc u al equa ion modelling (SEM) ep esen s an app op ia e me hodological app oach o examining complex
ela ionships among mul iple cons uc s. SEM ex ends adi ional eg ession analysis by simul aneously es ima ing di ec e ec s,
indi ec e ec s h ough media o s, and o al e ec s while assessing model i o obse ed da a (Kline, 2015). This me hodological
s eng h p o es pa icula ly aluable o es ing heo e ical models posi ing mul iple pa hways and media ing mechanisms.
SEM applica ions in highe educa ion esea ch ha e inc eased subs an ially in ecen yea s. S udies employing SEM ha e
examined ela ionships be ween ins uc ional quali y and s uden ou comes, be ween campus clima e and s uden pe sis ence, and
be ween se ice quali y and a ious sa is ac ion and loyal y ou comes. The me hodological igo and capaci y o examine complex
ela ionships simul aneously make SEM pa icula ly well-sui ed o in es iga ing he mul idimensional sa is ac ion de e minan s
examined in his esea ch.
3. Me hodology:
3.1 Resea ch Design and App oach:
This s udy employs a c oss-sec ional quan i a i e esea ch design u ilizing s uc u al equa ion modelling o examine
hypo hesized ela ionships among se ice quali y, sa is ac ion, and epu a ion. The esea ch adop s a posi i is epis emological
s ance, assuming ha ela ionships among a iables can be iden i ied h ough sys ema ic empi ical in es iga ion and quan i ied
h ough s a is ical analysis.
3.2 Popula ion and Sample:
The a ge popula ion comp ises in e na ional s uden s en olled in deg ee-g an ing p og ams a highe educa ion
ins i u ions globally. The accessible popula ion was de ined as in e na ional s uden s en olled in ins i u ions pa icipa ing in he
In e na ional S uden Ba ome e ini ia i e, an es ablished assessmen pla o m measu ing in e na ional s uden expe iences ac oss
mul iple ins i u ions.
S a i ied andom sampling ensu ed ep esen a ion ac oss geog aphic egions (Asia-Paci ic, Eu ope, No h Ame ica,
Middle Eas /A ica), ins i u ional ypes ( esea ch uni e si ies, eaching- ocused uni e si ies, specialized ins i u ions), and p og am
le els (unde g adua e, mas e 's, doc o al). Final sample comp ised n=387 in e na ional s uden s dis ibu ed ac oss 28 ins i u ions
in 14 coun ies. Sample composi ion e lec ed ypical in e na ional s uden demog aphics, wi h subs an ial ep esen a ion om
Asia (54.3%), ollowed by Eu ope (19.4%), A ica (13.2%), Ame icas (8.1%), and Oceania (4.9%).
Mean age o sample was 24.7 yea s (SD=4.2), wi h gende dis ibu ion app oaching pa i y (male 47.2%, emale 52.8%).
App oxima ely 62% o pa icipan s pu sued mas e 's deg ee p og ams, 28% unde g adua e p og ams, and 10% doc o al p og ams.
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Mean du a ion o en olmen was 14.3 mon hs (SD=6.8), ensu ing pa icipan s possessed su icien ins i u ional expe ience o
e alua e se ice quali y accu a ely.
3.3 Ins umen a ion:
3.3.1 Se ice Quali y Measu emen :
Academic se ice quali y was measu ed using 7-i em scale assessing eaching e ec i eness, cu iculum ele ance,
academic ad ising quali y, and cou se o ganiza ion (α=0.84). I ems employed 7-poin Like scales ancho ed om 1 (s ongly
disag ee) o 7 (s ongly ag ee). Example i ems included "The quali y o eaching in my p og am is excellen " and "Academic
ad iso s p o ide help ul guidance ega ding my academic p og ess."
Non-academic se ice quali y was measu ed using 8-i em scale assessing campus acili ies, accommoda ion quali y,
adminis a i e esponsi eness, s uden suppo se ices, and cul u al in eg a ion p og amming (α=0.81). Example i ems included
"Campus acili ies a e well-main ained and adequa e" and "Suppo se ices help me adjus o s udying in his coun y."
3.3.2 S uden Sa is ac ion Measu emen :
O e all s uden sa is ac ion was measu ed using 6-i em scale assessing sa is ac ion wi h academic expe iences, suppo
se ices, campus en i onmen , social expe iences, and ins i u ion o e all (α=0.88). I ems employed 7-poin Like scales.
Example i ems included "I am sa is ied wi h my o e all expe ience a his ins i u ion" and "I eel sa is ied wi h he suppo I ha e
ecei ed since en olling."
3.3.3 Ins i u ional Repu a ion Measu emen :
Ins i u ional epu a ion was measu ed using 5-i em scale adap ed om Fomb un's Repu a ion Quo ien , assessing
pe cep ions o ins i u ion's us wo hiness, social esponsibili y, quali y, inno a ion, and o e all epu a ion among ele an
compa ison ins i u ions (α=0.87). Example i ems included "This ins i u ion has an excellen epu a ion" and "I would ecommend
his ins i u ion o p ospec i e s uden s."
All scales unde wen alida ion p ocedu es including explo a o y ac o analysis con i ming unidimensional scale
s uc u e and con i ma o y ac o analysis alida ing measu emen models. Con e gen and disc iminan alidi y we e es ablished
h ough examina ion o ac o loadings, a e age a iance ex ac ed, and co ela ions among cons uc s.
3.4 S uc u al Equa ion Modelling Speci ica ion:
The hypo hesized s uc u al model speci ied academic se ice quali y and non-academic se ice quali y as exogenous
la en a iables. S uden sa is ac ion was speci ied as an endogenous media o a iable, and ins i u ional epu a ion as he inal
endogenous ou come a iable. Di ec pa hs we e es ima ed om bo h se ice quali y dimensions o sa is ac ion, om sa is ac ion
o epu a ion, and om bo h se ice quali y dimensions o epu a ion (allowing examina ion o di ec e ec s independen o
media ion).
Model speci ica ion inco po a ed measu emen e o explici ly, wi h la en a iables de ined by hei obse ed indica o s.
Maximum likelihood es ima ion was employed, wi h model i assessed h ough mul iple indices including χ²/d a io (accep able
<3.0), Compa a i e Fi Index-CFI (accep able >0.90), Roo Mean Squa e E o o App oxima ion-RMSEA (accep able <0.08),
and S anda dized Roo Mean Squa e Residual-SRMR (accep able <0.08).
3.5 Da a Analysis P ocedu es:
3.5.1 P elimina y Analyses:
P elimina y analyses examined da a quali y including missing da a pa e ns, ou lie s, and dis ibu ional p ope ies. Li le's
MCAR es examined whe he missing da a we e missing comple ely a andom (p=0.247, suppo ing MCAR assump ion).
Missing da a (2.3% o e all) we e handled h ough mul iple impu a ion using expec a ion-maximiza ion algo i hm. Mul i a ia e
no mali y assessmen examined skewness and ku osis o all a iables, wi h accep able alues (|skewness|<2.0, |ku osis|<4.0).
3.5.2 Measu emen Model E alua ion:
Con i ma o y ac o analysis assessed measu emen model i independen ly p io o s uc u al model e alua ion.
S anda dized ac o loadings anged om 0.71 o 0.89 ac oss all cons uc s, indica ing adequa e indica o eliabili y (all λ>0.60).
A e age a iance ex ac ed anged om 0.58 o 0.72, demons a ing adequa e con e gen alidi y. Disc iminan alidi y was
con i med h ough examina ion o squa e oo s o AVE exceeding in e ac o co ela ions.
3.5.3 S uc u al Model Analysis:
S uc u al pa hs we e es ima ed h ough maximum likelihood p ocedu es. Bo h di ec e ec s (se ice quali y o
epu a ion, se ice quali y o sa is ac ion, sa is ac ion o epu a ion) and indi ec e ec s (se ice quali y o epu a ion h ough
sa is ac ion) we e es ima ed. Indi ec e ec s we e calcula ed h ough pa h mul iplica ion, wi h boo s ap con idence in e als
(1,000 esamples) de e mining signi icance. Media ion e ec s we e e alua ed h ough examina ion o di ec , indi ec , and o al
e ec s, wi h p opo ion o media ion calcula ed as (indi ec e ec / o al e ec ) × 100.
3.5.4 Mode a ion Analysis:
Mul i-g oup s uc u al equa ion modelling examined whe he model ela ionships a ied ac oss geog aphic egions
(Asia-Paci ic e sus all o he egions) and p og am le els (mas e 's e sus o he le els). Con igu al in a iance was i s
es ablished h ough model i compa ison ac oss g oups wi hou equali y cons ain s. Me ic in a iance was hen es ed h ough
compa ison o models wi h ac o loadings cons ained o equali y, examining whe he measu emen ela ionships di e ed ac oss
g oups. Finally, s uc u al in a iance was es ed h ough equali y cons ain s on s uc u al pa hs, di ec ly es ing whe he
ela ionships be ween cons uc s di e ed ac oss g oups.
3.6 E hical Conside a ions:
This esea ch ecei ed ins i u ional e hics app o al p io o da a collec ion. Pa icipan s p o ided in o med consen , wi h
clea communica ion ega ding s udy pu pose, p ocedu es, con iden iali y p o ec ions, and pa icipan igh s. Pa icipa ion was
en i ely olun a y wi h no inducemen s. Da a we e de-iden i ied and s o ed secu ely wi h access es ic ed o esea ch eam
membe s.
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4. Findings:
4.1 Desc ip i e S a is ics:
Va iable
Mean
SD
Minimum
Maximum
Skewness
Ku osis
Academic Se ice Quali y
5.34
1.18
1.43
7
-0.34
-0.21
Non-Academic Se ice Quali y
5.68
1.24
1.38
7
-0.48
-0.18
S uden Sa is ac ion
5.82
1.31
1.5
7
-0.52
-0.25
Ins i u ional Repu a ion
5.91
1.26
1.8
7
-0.41
-0.19
Mean sco es ac oss all cons uc s app oached midpoin o high end o 7-poin scales, sugges ing gene ally posi i e
assessmen s o se ice quali y, sa is ac ion, and epu a ion. Non-academic se ice quali y (M=5.68) and ins i u ional epu a ion
(M=5.91) demons a ed sligh ly highe mean a ings compa ed o academic se ice quali y (M=5.34), sugges ing s uden s
pe cei ed non-academic dimensions ela i ely a o ably and possessed posi i e ins i u ional epu a ion pe cep ions.
Co ela ional analysis e ealed s a is ically signi ican posi i e associa ions among all cons uc s. Academic se ice
quali y co ela ed wi h s uden sa is ac ion ( =0.61, p<0.001) and epu a ion ( =0.54, p<0.001). Non-academic se ice quali y
demons a ed s onge co ela ions wi h sa is ac ion ( =0.72, p<0.001) and epu a ion ( =0.68, p<0.001). S uden sa is ac ion
co ela ed s ongly wi h epu a ion ( =0.79, p<0.001).
4.2 Measu emen Model Resul s:
Con i ma o y ac o analysis demons a ed adequa e measu emen model i (χ²=218.43, d =109, χ²/d =2.00, CFI=0.942,
RMSEA=0.062, SRMR=0.051). All s anda dized ac o loadings exceeded 0.70 h eshold ( ange: 0.71-0.89), indica ing adequa e
indica o eliabili y. A e age a iance ex ac ed anged om 0.58 o 0.72 ac oss cons uc s, demons a ing adequa e con e gen
alidi y. All composi e eliabili ies exceeded 0.80 h eshold ( ange: 0.81-0.89).
Disc iminan alidi y was con i med h ough examina ion o squa ed co ela ions no exceeding a e age a iance
ex ac ed alues. Cons uc co ela ions anged om 0.58 o 0.79, wi h la ges co ela ion be ween s uden sa is ac ion and
epu a ion ( =0.79), indica ing concep ual dis inc ness while main aining heo e ical ela ionships.
4.3 S uc u al Model Resul s:
The hypo hesized s uc u al model demons a ed good i o da a (𝜒² = 231.87,𝑑𝑓 =115,𝜒²/𝑑𝑓 = 2.01,𝐶𝐹𝐼 =
0.927,𝑅𝑀𝑆𝐸𝐴 = 0.068,𝑆𝑅𝑀𝑅 = 0.057). Fi indices app oached o exceeded con en ional h esholds, indica ing model
adequa ely ep esen ed obse ed da a ela ionships.
Figu e 1: S uc u al Model wi h Pa h Coe icien s and Signi icance
S anda dized S uc u al Pa h Es ima es Re ealed:
Di ec E ec s o Se ice Quali y on S uden Sa is ac ion:
Academic se ice quali y demons a ed s a is ically signi ican di ec e ec on s uden sa is ac ion (𝛽= 0.42,𝑆𝐸 =
0.08,𝑝< 0.001,95% 𝐶𝐼: 0.27 −0.58). Howe e , when examined simul aneously wi h non-academic se ice quali y, he e ec
o academic quali y dec eased subs an ially, indica ing pa ial supp ession by non-academic quali y.
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Non-academic se ice quali y demons a ed subs an ially s onge di ec e ec on s uden sa is ac ion (𝛽= 0.68,𝑆𝐸 =
0.09,𝑝< 0.001,95% 𝐶𝐼: 0.50 −0.85), ep esen ing 62% inc ease in e ec magni ude compa ed o academic quali y. The
s onge e ec o non-academic se ice quali y pe sis ed e en a e accoun ing o academic quali y e ec s, sugges ing non-
academic dimensions p o e mo e in luen ial in de e mining in e na ional s uden sa is ac ion.
Di ec E ec s o S uden Sa is ac ion on Repu a ion:
S uden sa is ac ion demons a ed s ong di ec e ec on ins i u ional epu a ion (𝛽= 0.64,𝑆𝐸 = 0.11,𝑝<
0.001, 95% 𝐶𝐼: 0.43 −0.84), indica ing ha enhanced sa is ac ion subs an ially ele a es epu a ion pe cep ions.
Di ec E ec s o Se ice Quali y on Repu a ion:
Academic se ice quali y demons a ed s a is ically signi ican di ec e ec on epu a ion independen o sa is ac ion
(𝛽= 0.21,𝑆𝐸 = 0.09,𝑝< 0.05,95% 𝐶𝐼: 0.04 −0.38), indica ing ha academic quali y in luences epu a ion h ough bo h
sa is ac ion-media ed and di ec pa hways.
Non-academic se ice quali y demons a ed ma ginally signi ican di ec e ec on epu a ion independen o sa is ac ion
(𝛽= 0.15,𝑆𝐸 = 0.08,𝑝= 0.057,95% 𝐶𝐼: −0.01 −0.31), sugges ing ha non-academic quali y p ima ily in luences epu a ion
h ough sa is ac ion media ion a he han h ough di ec pa hways.
4.4 Media ion Analysis:
Figu e 2: Di ec , Indi ec , and To al E ec s wi h Boo s ap Con idence In e als
Academic se ice quali y exe ed o al e ec o 0.48 on epu a ion (p<0.001), wi h 56.3% ope a ing h ough sa is ac ion
media ion and 43.7% h ough di ec pa hways. Boo s ap con idence in e als (1,000 esamples, 95% CI: 0.18-0.38) con i med
s a is ical signi icance o media ed e ec .
Non-academic se ice quali y exe ed la ge o al e ec o 0.59 on epu a ion (p<0.001), wi h 74.6% ope a ing h ough
sa is ac ion media ion and 25.4% h ough di ec pa hways. Boo s ap con idence in e als (95% CI: 0.32-0.56) con i med
s a is ical signi icance o subs an ial media ed e ec s.
The subs an ially g ea e media ion p opo ion o non-academic se ice quali y (74.6% e sus 56.3%) indica es ha
non-academic quali y e ec s on epu a ion ope a e p ima ily h ough sa is ac ion enhancemen , while academic quali y exe s
mo e subs an ial di ec epu a ional e ec s.
4.5 Mode a ion Analysis Resul s:
Mul i-g oup SEM compa ing Asia-Paci ic s uden s (n=210) wi h s uden s om o he egions (n=177) e ealed signi ican
s uc u al di e ences (Δχ²=12.34, Δd =4, p<0.05), indica ing mode a ion e ec s. Speci ically:
Academic Se ice Quali y E ec s: Asian s uden s assigned lowe impo ance o academic se ice quali y in p edic ing
sa is ac ion (βAsia=0.34, p<0.01) compa ed o non-Asian s uden s (βNon-Asia=0.52, p<0.001). This di e ence sugges s academic
quali y p e e ences a y by cul u al con ex .
Non-Academic Se ice Quali y E ec s: Asian s uden s assigned highe impo ance o non-academic se ice quali y
(βAsia=0.74, p<0.001) compa ed o non-Asian s uden s (βNon-Asia=0.62, p<0.001), indica ing ha in e na ional s uden s om
Asia pa icula ly emphasize suppo se ices and campus en i onmen in sa is ac ion de e mina ion.
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Sa is ac ion-Repu a ion Rela ionships: Sa is ac ion e ec s on epu a ion did no di e signi ican ly ac oss egions (Δχ²=1.87,
p>0.05), indica ing his ela ionship p o es cul u ally consis en .
P og am le el mode a ion analysis e ealed ha mas e 's s uden s (n=239) assigned highe impo ance o academic
quali y (β=0.49, p<0.001) compa ed o unde g adua e s uden s (β=0.35, p<0.05), while non-academic quali y e ec s did no di e
signi ican ly (Δχ²=1.92, p>0.05).
4.6 Model Va iance Explained:
The s uc u al model explained 69% o a iance in s uden sa is ac ion (R²=0.69) h ough combined e ec s o academic
and non-academic se ice quali y. The model explained 79% o a iance in ins i u ional epu a ion (R²=0.79) h ough combined
e ec s o se ice quali y and sa is ac ion.
These subs an ial R² alues indica e ha iden i ied se ice quali y dimensions and sa is ac ion comp ehensi ely cap u e
majo ac o s in luencing epu a ion in in e na ional s uden con ex s.
5. Discussion:
5.1 P ima y Findings:
The esea ch p o ides empi ical e idence ega ding s uc u al ela ionships among se ice quali y dimensions,
in e na ional s uden sa is ac ion, and ins i u ional epu a ion. Key indings include:
Di e en ial E ec s o Se ice Quali y Dimensions: Non-academic se ice quali y dimensions exe subs an ially s onge
e ec s on s uden sa is ac ion (β=0.68) compa ed o academic se ice quali y (β=0.42), ep esen ing 62% e ec magni ude
inc ease. This inding challenges p e ailing assump ions ha academic quali y p edominan ly de e mines s uden sa is ac ion and
sugges s ha holis ic expe iences encompassing suppo se ices, campus en i onmen , and cul u al in eg a ion p og amming
p o e equally o mo e in luen ial han eaching quali y and cu iculum.
Sa is ac ion Media ion: S uden sa is ac ion subs an ially media es e ec s o se ice quali y on epu a ion. No ably, non-
academic se ice quali y e ec s ope a e p ima ily h ough sa is ac ion media ion (74.6% media ed), while academic se ice
quali y e ec s u ilize bo h media ed and di ec pa hways (56.3% media ed). This pa e n sugges s ha academic quali y in luences
epu a ion h ough bo h sa is ac ion-dependen and sa is ac ion-independen mechanisms, possibly e lec ing di ec ins i u ional
p es ige e ec s om academic excellence.
Geog aphic Mode a ion: Rela ionships be ween se ice quali y and sa is ac ion demons a e signi ican geog aphic
a ia ion, wi h in e na ional s uden s om Asia-Paci ic egion assigning highe impo ance o non-academic se ice quali y
(β=0.74 e sus 0.62 o non-Asian s uden s). This a ia ion sugges s ha Asian sou ce ma ke dynamics—po en ially e lec ing
g ea e cul u al dis ance, language ba ie s, and emphasis on p ac ical suppo —make non-academic se ices pa icula ly
in luen ial in sa is ac ion de e mina ion.
Subs an ial Repu a ion Va iance Explained: The model explains 79% o epu a ion a iance h ough se ice quali y and
sa is ac ion, indica ing ha iden i ied se ice dimensions comp ehensi ely cap u e majo epu a ion de e minan s among
in e na ional s uden s. This inding sugges s ela i ely limi ed ole o exogenous ac o s such as ins i u ional ankings o p es ige
in in luencing in e na ional s uden epu a ion pe cep ions.
5.2 Theo e ical Implica ions:
Se ice Quali y Mul idimensionali y: The esea ch ad ances se ice quali y heo y by simul aneously examining
mul iple quali y dimensions and quan i ying hei di e en ial e ec s. While p io li e a u e acknowledged mul iple quali y
dimensions, ew s udies empi ically compa ed e ec magni udes ac oss dimensions. The inding ha non-academic dimensions
exe s onge sa is ac ion e ec s challenges hie a chical se ice quali y models assuming academic quali y as p ima y
de e minan .
Media ion Mechanisms: The esea ch con ibu es o unde s anding o media ion mechanisms linking o ganiza ional
se ice deli e y o epu a ion ou comes. The iden i ica ion o di e en ial media ion p opo ions ac oss se ice quali y dimensions
sugges s ha di e en pa hways o epu a ion exis depending on se ice quali y ype. This insigh en iches epu a ion heo y by
demons a ing ha no all o ganiza ional ac ions in luence epu a ion h ough iden ical mechanisms.
Cul u al Con ingency: The iden i ica ion o geog aphic mode a ion e ec s ex ends se ice quali y heo y by
demons a ing cul u al con ingency in quali y-sa is ac ion ela ionships. The s onge non-academic quali y e ec s among Asian
s uden s may e lec cul u al ac o s including g ea e emphasis on collec i e wel a e, p ac ical assis ance p io i iza ion, o
heigh ened salience o en i onmen al ac o s in sa is ac ion de e mina ion. This inding con ibu es o c oss-cul u al highe
educa ion esea ch by empi ically demons a ing sys ema ic a ia ion in sa is ac ion de e minan s ac oss cul u al con ex s.
5.3 P ac ical Implica ions:
Resou ce Alloca ion P io i y: The esea ch p o ides quan i a i e e idence suppo ing ins i u ional p io i iza ion o non-
academic se ice in es men s. Gi en ha non-academic se ice quali y exe s subs an ially s onge di ec e ec s on sa is ac ion
and 74.6% o e ec s on epu a ion ope a e h ough sa is ac ion media ion, ins i u ions seeking o enhance epu a ion h ough
sa is ac ion imp o emen should p io i ize non-academic se ice quali y in es men s.
Di e en ia ed Geog aphic S a egies: The iden i ica ion o geog aphic mode a ion e ec s sugges s ha uni o m global
ma ke ing and se ice s a egies p o e subop imal. Ra he , ins i u ions should de elop di e en ia ed s a egies e lec ing sou ce
ma ke cha ac e is ics. Ins i u ions a ge ing Asian s uden s pa icula ly should emphasize non-academic suppo se ices, cul u al
in eg a ion p og amming, and campus en i onmen quali y in ma ke ing posi ioning and se ice deli e y.
In eg a ed Se ice S a egy: The esea ch sugges s ha sa is ac ion de e mina ion esul s om in eg a ed expe iences
ac oss academic and non-academic dimensions a he han single dominan ac o . Consequen ly, ins i u ions should de elop
in eg a ed quali y imp o emen s a egies add essing bo h dimensions simul aneously a he han exclusi ely emphasizing
academic excellence.
Repu a ion as S a egic Ou come: The s ong sa is ac ion- epu a ion ela ionship (β=0.64) and high epu a ion a iance
explained (R²=0.79) sugges ha ins i u ional se ice quali y imp o emen s ansla e meaning ully o epu a ion enhancemen .
This inding alida es in es men in se ice quali y as epu a ionally s a egic ac i i y a he han me ely ope a ionally necessa y.
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5.4 Limi a ions:
This esea ch p o ides empi ical insigh s ega ding se ice quali y ela ionships o sa is ac ion and epu a ion bu
acknowledges se e al limi a ions wa an ing acknowledgmen . Fi s , he c oss-sec ional design p ecludes de ini i e causal
in e ence, limi ing abili y o ule ou al e na i e explana ions o obse ed ela ionships. Longi udinal esea ch would s eng hen
causal con idence.
Second, he esea ch examines epo ed sa is ac ion and epu a ion pe cep ions a he han beha io al ou comes such as
wo d-o -mou h communica ion, ecommenda ion likelihood, o ac ual en olmen e e als. While sa is ac ion demons a es
subs an ial associa ion wi h hese beha io al ou comes in li e a u e, di ec measu emen would enhance ex e nal alidi y.
Thi d, he esea ch examines in e na ional s uden s om pa icula ins i u ional con ex s wi hin In e na ional S uden Ba ome e
ne wo k, po en ially in oducing selec ion bias. Gene aliza ion o in e na ional s uden s in non-pa icipa ing ins i u ions o
domes ic s uden popula ions equi es cau ion.
Fou h, he measu emen ins umen s, while alida ed, ep esen single sel - epo ed assessmen s subjec o common
me hod bias and social desi abili y in luences. Mul i-me hod measu emen including ins i u ional eco ds o pee e alua ions
would enhance alidi y.
Fi h, he esea ch measu es se ice quali y h ough s uden pe cep ions a he han objec i e quali y indica o s. While
pe cep ions ep esen app op ia e sa is ac ion de e minan s, inclusion o objec i e quali y me ics would enable compa ison
be ween pe cei ed and objec i e quali y.
Finally, he esea ch examines a limi ed se o po en ially in luen ial a iables, wi h 31% o epu a ion a iance
unexplained. Inclusion o addi ional a iables such as ins i u ional p es ige, ankings, esea ch ou pu , o employmen ou comes
migh enhance model comp ehensi eness.
5.5 Fu u e Resea ch Di ec ions:
Se e al esea ch di ec ions would ad ance unde s anding o se ice quali y, sa is ac ion, and epu a ion ela ionships in
in e na ional highe educa ion con ex s. Longi udinal esea ch acking s uden s h ough en olmen pe iods would enable
examina ion o sa is ac ion e olu ion and i s dynamic e ec s on epu a ion o ma ion. Expe imen al designs manipula ing se ice
quali y h ough con olled in e en ions would s eng hen causal in e ence.
Resea ch examining beha io al ou comes including wo d-o -mou h communica ion, ecommenda ion likelihood, and
ac ual e e al gene a ion would ex end unde s anding beyond pe cep ual ou comes o ac ual epu a ional consequences.
Quali a i e esea ch explo ing mechanisms h ough which se ice quali y in luences sa is ac ion would enhance unde s anding o
causal pa hways.
Compa a i e esea ch examining di e ences be ween domes ic and in e na ional s uden popula ions would cla i y
whe he iden i ied ela ionships p o e uni e sal o speci ic o in e na ional con ex s. Resea ch examining ins i u ional con ex
e ec s, such as a ia ion ac oss ins i u ion ypes o geog aphic loca ions, would enhance unde s anding o con ex ual con ingency.
Finally, esea ch examining se ice quali y imp o emen ini ia i es and hei e ec s on sa is ac ion and epu a ion would p o ide
p ac ical e idence ega ding in e en ion e ec i eness, enabling de elopmen o bes -p ac ice ecommenda ions o ins i u ional
imp o emen .
6. Conclusion:
This esea ch p o ides empi ical e idence ega ding s uc u al ela ionships among highe educa ion se ice quali y
dimensions, in e na ional s uden sa is ac ion, and ins i u ional epu a ion. Th ough s uc u al equa ion modelling o da a om 387
in e na ional s uden s ac oss 28 ins i u ions, he s udy ad ances unde s anding o sa is ac ion and epu a ion de e minan s while
p o iding e idence-based guidance o ins i u ional s a egy and esou ce alloca ion.
P ima y indings indica e ha non-academic se ice quali y dimensions exe subs an ially s onge e ec s on
in e na ional s uden sa is ac ion compa ed o academic dimensions, challenging p e ailing assump ions ega ding sa is ac ion
de e minan s. S uden sa is ac ion subs an ially media es e ec s o se ice quali y on epu a ion, wi h pa icula ly s ong
media ion o non-academic se ice quali y. Geog aphic mode a ion e ec s demons a e ha sa is ac ion de e minan s a y ac oss
in e na ional sou ce ma ke s, sugges ing he necessi y o cul u ally in o med ins i u ional s a egies.
These indings ca y subs an ial implica ions o ins i u ional p ac ice. Ins i u ions seeking o enhance epu a ion and
compe i i e ad an age h ough sa is ac ion imp o emen should p io i ize non-academic se ice quali y in es men s including
s uden suppo se ices, campus en i onmen enhancemen , cul u al in eg a ion p og amming, and accommoda ion quali y.
Simul aneously, ins i u ions should main ain academic quali y excellence while ecognizing ha academic quali y ope a es
h ough bo h sa is ac ion-media ed and di ec pa hways o epu a ion.
The esea ch demons a es ha in e na ional s uden sa is ac ion and ins i u ional epu a ion ep esen achie able
ins i u ional ou comes subs an ially de e mined by con ollable se ice quali y ac o s. By s a egically in es ing in
comp ehensi ely excellen academic and non-academic se ice quali y, ins i u ions can meaning ully enhance in e na ional
s uden sa is ac ion and ins i u ional epu a ion, ansla ing o compe i i e ad an ages in in ensi ying global ma ke s.
As in e na ional highe educa ion compe i ion con inues o in ensi y, compe i i e di e en ia ion inc easingly depends on
ins i u ional abili y o deli e supe io in eg a ed se ice expe iences exceeding p ospec i e s uden expec a ions. This esea ch
p o ides empi ical alida ion o his p inciple while iden i ying p io i y in es men a eas enabling ins i u ions o maximize
epu a ional e u ns om se ice quali y in es men s.
Re e ences:
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