aplikasi permodelan persamaan berstruktur · pdf filedependence. sem. manova. multiple reg....
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Rosseni DinFakulti Pendidikan
Universiti Kebangsaan [email protected]
http://rosseni.wordpress.com
PENILAIAN e-PEMBELAJARAN
HEURISTICS EVALUATION
Rosseni DinFakulti Pendidikan
Universiti Kebangsaan [email protected]
http://rosseni.wordpress.com
APLIKASI PERMODELAN PERSAMAAN BERSTRUKTUR
Katakan anda ingin mengkajitentang ePembelajaran
(1) E-Pembelajaran(2) Pembelajaran Bermakna
(3) Stail Pembelajaran
ePembelajaranHibrid
eLatihanBermakna
StailPembelajaran
Pilihan
Sorotan Literatur Kerangka Konsep
Learning Style Preference
(LSP)
Tactual
Group
Individual Kinesthetic
Auditory
Visual
Content
Delivery
Structure
Service
Outcome
Hybrid
e-Training
(HiT)
Meaningful
e-Training
(MeT)
Cooperativity
Intentionality
Construction
Activity
Authenticity
Katakan anda ingin melihat pertalianePembelajaran terhadap eLatihanbermakna dan stail pembelajaran
ePembelajaran Hibrid (i) kandungan, (ii) penyampaian (iii) perkhidmatan (iv) hasil (v) struktur
eLatihan Bermakna (i) kandungan, (ii) penyampaian (iii) perkhidmatan (iv) hasil (v) struktur
Stail Pembelajaran Pilihan (i) visual, (ii) auditori (iii) kinestetik (iv) tactile (v) berkumpulan (vi) individu
Bina RQ dari sorotan literatur.
Cari indikator untuk mengukurePembelajaran
Pastikan instrumen ePembelajransah dan boleh dipercayai
Sorotan Literatur Kerangka Konsep
Learning Style Preference
(LSP) Tactual
Group
Individual Kinesthetic
Auditory
Visual
Content
Delivery
Structure
Service
Outcome
Hybrid
e-Training
(HiT)
Meaningful
e-Training
(MeT)
Cooperativity
Intentionality
Construction
Activity
Authenticity
RQ1 RQ2
RQ3
RQ4
Di peringkat “analisis data” apakah teknik statistik yang
sesuai digunakan dengan data dan RQ?
Antara analisis multivariate yang biasa digunakan untukkajian pertalian:
Relationships?
interdependence
dependence
SEM
MANOVA
multiple reg
multivariate reg
canonical corr
PCA
CFA
cluster analysis
multidimen scaling
correspondence an
Model Multiple Regression
Hybrid eTrainingDelivery
Content
Structure
1
Model MultivariateRegression
Delivery
Content
Structure
Face-to-Face Delivery
Online Delivery
Measurement Model + Measurement Model = Structural Model
Hypothesized Structural Model of HiTs and MeT Relationship
MeT
coop e11
1
inten e21
const e31
activ e41
authen e51
HiTs
outcme11
serve12
struce13
delivere14
contente15
1
1
1
1
1
1 e16
1
Basic Terms• latent variables•measurement model• structural model•measurement error
• factor loading• direct causal effect• indirect effect
MeT
coop1.85
e61.00
1
inten.99
e71.411
const3.23
e82.51 1
activ.91
e9
2.011
authen1.30
e10
2.91
1
3.50
HiTs
outcm.66
e5
serv.94
e4
struc.93
e3
deliver1.30
e2
content1.82
e1
Normed Chi-Square 4.112RMSEA .121CFI .869TLI .842p .000
1.00
1
.821
1.001
.831 .88
1
.22
.51
e17
1
LSP
group
.89
e15
tactil
.52
e14
kines
.57
e13
audio
.84
e12
visual
1.60
e11
1.00
1
.60
1
.90
1
.94
11
.10 -.20
1.03
e181
1.01
Bagaimanamenggunakan SEM
untuk menjawab soalankajian?
PengenalanKepadaAplikasi SEM
Carta Alir Pendekatan SEM Konsep dan istilah asas
Antara situasi penyelidikan yang bolehmemanfaatkan aplikasi SEM
1. Pertalian antara beberapa IVs dengan satu DV
2. Pertalian antara beberapa IVs dengan beberapa DV
3. Pengukuran unobserved concepts
4. Perkaitan antara beberapa DV yang saling berkaitan
1. Pertalian antara beberapa IVs dengan satu DV
HiTs
serve2
struce3
delivere4
contente5
11
1
1
1
outcme11
Hypothesized Five-Factor Measurement Model for HiT
2. Pertalian antara beberapa IVs dengan beberapa DV
Hypothesized Structural Model of HiTs and MeT Relationship
MeT
coop e11
1
inten e21
const e31
activ e41
authen e51
HiTs
outcme11
serve12
struce13
delivere14
contente15
1
1
1
1
1
1 e16
1
ePembelajaranHibrid
eLatihanBermakna
StailPembelajaran
Pilihan
3. Pengukuran unobserved concepts
4. Perkaitan antara beberapa DV yang saling berkaitan
Hypothesized Result of Structural Relationships among HiTs, MeT & LSP
MeT
coop e1.52
inten e2.75
const e3.84
activ e4.84
authen e5
.95
HiTs
outcme11
serve12
struce13
delivere14
contente15
Normed Chi-Square 2.394RMSEA .081CFI .945TLI .929p .000
.89
.87
.84
.80.79
LSP
Group
e6
tactil
e7
kines
e8
visual
e9
audio
e10
.62.51.84.67.75
.49
-.25
e16
.57
-.95.43
-.25
.37
.15
e17
Sorotan literatur tertentu dapat membantu andamengusulkan RQ seperti berikut:
RQ1.Is the measurement scale for hybrid e-Training (HiT) construct-valid?
RQ2.Is the measurement scale for meaningful e-Training (MeT) psychometrically-sound?
RQ3.Are the psychometric properties for learning style preference (LSP) measure reasonable?
RQ4. Does a relationship exist among learning style preference (LSP), hybrid e-training (HiT) and meaningful e-training (MeT)?
RQ1. Is the measurement scale for hybrid e-Training construct-valid?
RQ1.1: Are learners’ acceptance of hybrid e-traininginfluenced by five factors: content, delivery, service, outcome and structure?
RQ1.2: Does each indicator has a nonzero loading on the hypothesized (targeted) factor?
RQ1.3: Does each indicator has a zero loading on the other (non targeted) factors.
RQ1.4: Are the five factors correlated? RQ1.5: Are the error terms uncorrelated?
SEM
RQ1. Is the measurement scale for Hybrid e-Training construct-valid?
RQ1.1: Are learners’ acceptance of hybrid e-training influenced by five factors: content, delivery, service, outcome and structure?
RQ1.2: Does each indicator has a nonzero loading on the hypothesized (targeted) factor?
RQ1.3: Does each indicator has a zero loading on the other (non targeted) factors.
RQ1.4: Are the five factors correlated?
RQ1.5: Are the error terms uncorrelated?
HiTs
serve12
struce13
delivere14
contente15
11
1
1
1
outcme111
Konsep dan istilah asas dalam SEM
exogenous variable endogenous variable observed; manifest; indicator variables (square) unobserved variable; latent variable; factors; construct (oval) measurement model structural model parameter estimates; path coefficient; factor loading measurement errors; residuals identification; just identified
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