TITLE The FactorsInfluencing Self-Development of Matayom 6 Students
Under The Secondary Educational Service Area Office 19
(Loei – Nong Bua Lamphu)
AUTHOR Mr. Suporn Moonsri
ADVISORS Assoc.Prof Dr.Prawit Erawan and Assist.Prof Dr. Prasert Ruannakarn
DEGREE M.Ed. MAJOR Educational Research
UNIVERSITY Mahasarakham University DATE 2012
ABSTRACT
This study aimed to examine relationships among Optimism , Self –
Confidence, Achievement Motivation, Self-Efficacy, Self-Control influencing Self-
Development and to examine Factors influences to the variables on Self -
Development of Matayom 6 Students Under The Secondary Educational Service Area
Office 19 (Loei – Nong Bua Lamphu). The sample used in this study consisted of 807
of Matayom 6 Students Under The Secondary Educational Service Area Office 19 (Loei
– Nong Bua Lamphu) ; obtained using the Stratified Random Sampling technique. The
research instruments used for collecting data were 1) a 15-item scale for Self-
Development with discrimination powers ranging from 0.58 to 0.82 and the reliability
of 0.89 2) a 63-item scale for questionnaire on factors affecting Self-Development as
divided into these 5 aspects : Achievement Motivation, Self-Efficacy, Self-Control, Self -
Confidence, Optimism with discrimination powers ranging from 0.40 to 0.94 and the
reliability of 0.78 . Data analyzed by using a descriptive statistics as Pearson’s product
moment correlation and an inferential statistics for testing the structural equation
modeling analysis.
The research findings were as follows :
1. That causal factor that having the most positive relationship with
Self-Development were Self-Efficacy , Achievement Motivation, Optimism , Self-
Control, Self – Confidence on Self-Development with a statistical significance of .01.
Their correlation coefficients were 0.881, 0.874, 0.847, 0.814 and 0.732 respectively.
2. The causal factor with the most influence on Self-Development were
Self - Confidence, Self-Efficacy, Achievement Motivation, Optimism, Self-Control with
the beta weights of .457, .328, .300, .185 and .146 respectively. All revealed with
statistical significance of .01 . The factor with the most direct influence on Self-
Development were Self-Efficacy, Self - Confidence, Achievement Motivation,
Optimism and Self-Control with the beta weights of .300, .255, .201, .185, .146
respectively. The factors with direct and indirect influence ranked by beta weight
9.
values were Self-Efficacywith the beta weight of .300 and a Achievement Motivation
with the beta weight of .201.All causal Factors could together explained the variation
of Self-Development 90.2 % of Matayom 6 Students Under The Secondary
Educational Service Area Office 19 (Loei – Nong Bua Lamphu).
In conclusion, the Self-Efficacy, Achievement Motivation, Optimism,
Self-Control and Self - Confidence affected on Self-Development of learners of
Matayom 6 Students Under The Secondary Educational Service Area Office 19
(Loei – Nong Bua Lamphu). These information can be used for decision or plan in the
learning management to encourage and support self-Development such as club
activity organization, camp activity and seminar. The parents and teachers should
encourage and support those activities.
117
อัญชลี สุดเสนห,. การเปรียบเทียบลักษณะการมุงอนาคตและอัตมโนทัศน,ของนักเรียน
ชั้นมัธยมศึกษาป[ที่ 6 ระหวางนักเรียนที่มีการอบรมเลี้ยงดู แรงจูงใจใฝUสัมฤทธิ์
และบุคลิกภาพตางกัน. วิทยานิพนธ, กศ.ม. มหาสารคาม : มหาวิทยาลัยมหาสารคาม,
2548.
อารี พันธ,มณี. จิตวิทยาการเรียนการสอน. กรุงเทพฯ : เลิฟแอนด,สิฟเพรส, 2542.
Atkinson, John W. Motive in Fantasy Action and Society. New Delhi : Affiliated East
West Press, PVT.Ltd., 1964.
Bandura, A. Self-Efficacy : The Exercise of Control. New York : W.H. Freeman and
Company, 1997.
Comier, William H. & Comier , Sherilyn L. Interviewing Strategies for Helpers :
A Guilde for Assessment , Treatment and Evaluation. California :
Brooks/Cole, 1979.
Grootenboer, Peter. Self-directed Teacher Professinal Development. 2012.
<http://aare.due.au/99pap/gro99601.htm. > 9 April 2012.
James, B. Schrieber. Core Reporting Practices in Structural Equation Modeling.
S.l. : s.n., 2008.
Kelly, A.P. et al. Interchange: A Quarterly Review of Education. 2008.
<http://www.eric.ed.gov/ERICWebPortal/search> 9 April 2012.
Kline, R.B. Principles and Practice of Structural Equation Modeling. 2 rd
ed.
New York : Guilford, 2005.
Louys et al. Educational Technology & Society. 2009.
<http://www.eric.ed.gov/ERICWebPortal/search> 9 April 2012.
Mercer & Jenny. Psychology Teaching Review. 2010.
<http://www.eric.ed.gov/ERICWebPortal/search> 9 April 2012.
Pajares, F. “Current Directions in Self Research,” Self-Efficacy. 1996.
<http://www.emory.edu/EDUCATION/mfp/aeral.html> 2009.
Staples, D.S., J.M. Hylland and C.A. Higgins.(2009). A self-Efficacy Theory Explanation for
the Management of Remote Workers in Virtual Organization. 4 June
1998.< http://orgsci.journal.informs.org/content/10/6/758.short >
Schunk, Dale H. Self-Efficacy Perspective on Achievement Behavior. 1982.
<http://eric.ed.gov/ERICWebPortal> 9 April 2012.
Stevens, James. Applied Multivariate Statistics for the Social Science. 2nd
ed.
New Jersey : Lawrence Erlbaum, 1992.
West, S. G.; Finch, J. F. & Curran, P.J. “Structural equation models with non-
Narmalvariables : Problems and Remedies,” in Structural Equation Modeling :
ConcepteIssues and Applications. Edited by R.Hoyle. p. 56-57. Newbury
Park, CA : Sage, 1995.
158
ตัวอยGางการเขียนคําสั่งการวิเคราะหขอมูล
TITLE: Self_Development_MODEL
DATA:
FILE IS"D:suparAmodel.dat";
VARIABLE:
NAMES ARE goa res ste pat asp ene mrt pla uoc eat vex vpe pst
pde sde lde pem pev pes est cou sre aut ada ;
USEVARIABLES ARE goa res ste pat asp ene mrt pla uoc eat vex vpe pst
pde sde lde pem pev pes est cou sre aut ada ;
ANALYSIS:
TYPE IS GENERAL;
ESTIMATOR IS ML;
ITERATIONS = 1000;
CONVERGENCE = 0.00005;
MODEL:
SCT BY goa res ste pat;
SEF BY eat vex vpe pst;
SDL BY pde sde lde;
OPT BY pem pev pes;
SCF BY est cou sre aut ada;
AMO BY asp ene mrt pla uoc;
SDL ON AMO SEF SCT SCF OPT;
SEF ON AMO;
SCT ON SCF;
PST WITH VPE;
OPT WITH SCT@0.076;
PDE WITH PST@0.069;
LDE WITH PDE@-0.042;
EAT WITH UOC@0.037;
ADA WITH VEX@0.058;
PEM WITH LDE@0.033;
MRT WITH ENE@0.044;
ENE WITH STE@0.053;
LDE WITH PST@-0.029;
ADA WITH COU@-0.043;
ADA WITH SRE@-0.051;
RES WITH GOA@0.030;
PLA WITH ENE@0.043;
173.
159
PES WITH PEV@0.039;
UOC WITH PLA@0.037;
EAT WITH PLA@0.040;
PLA WITH GOA@0.029;
COU WITH PAT@-0.019;
EST WITH LDE@-0.030;
EST WITH VPE@-0.027;
VPE WITH VEX@0.068 ;
UOC WITH ENE@-0.028;
SCT WITH SEF@-0.016;
SCF WITH SEF@0.030;
LDE WITH RES@0.016 ;
COU WITH SDE@-0.016;
ADA WITH ASP@0.023;
PEM WITH PLA@-0.020;
PAT WITH STE@-0.026;
SDE WITH UOC@0.016;
SDE WITH MRT@0.017;
COU WITH LDE@-0.019;
AUT WITH LDE@-0.019;
AUT WITH PDE@ 0.020;
PST WITH VEX@0.060;
SDE WITH PST@0.019;
EAT WITH ASP@-0.015;
ASP WITH RES@0.014;
ASP WITH PAT@ 0.018;
UOC WITH GOA@-0.022;
PLA WITH MRT@0.017;
VEX WITH PLA@0.016;
PEV WITH VPE@-0.019;
AUT WITH VEX@0.015;
COU WITH EST@ 0.017;
COU WITH MRT@-0.011;
ENE WITH PAT@-0.019;
SDE WITH PDE@0.017;
LDE WITH ENE@-0.026;
SDE WITH ENE@-0.020;
VPE WITH ENE@-0.021;
VPE WITH RES@0.013;
UOC WITH RES@-0.014;
ADA WITH PES@0.031;
174.
160
ADA WITH PEV@0.039;
ADAWITH PEM@0.022;
PST WITH STE@-0.014;
ADA WITH PDE@0.015;
UOC WITH ASP@-0.012;
PEV WITH ASP@0.012;
LDE WITH PAT@0.019;
ADA WITH PAT@0.016;
ENE WITH RES@0.014;
PEM WITH PAT@0.012;
PEM WITH ENE@-0.015;
COU WITH ASP@-0.009;
SDE WITH STE@-0.013;
EST WITH STE@-0.014 ;
ENE WITH GOA@0.014;
VEX WITH ASP@-0.010;
VEX WITH MRT@-0.011;
EAT WITH PAT@0.012;
UOC WITH STE@-0.013;
SDE WITH VEX@-0.010;
LDE WITH VEX@-0.011 ;
EST WITH SDE@-0.011;
PEV WITH ENE@0.015;
ADA WITH PLA@0.014 ;
ADA WITH UOC@0.014;
PEM WITH UOC@-0.009;
PES WITH LDE@0.008;
SRE WITH ASP@-0.008;
SRE WITH PEV@-0.011;
VPE WITH ASP@-0.010;
PEV WITH SDE@-0.011;
AUT WITH EAT@-0.011;
AUT WITH PEV@-0.012;
AUT WITH PES@-0.013;
AUT WITH PEM@-0.013;
COU WITH PDE@0.009;
EST WITH RES@-0.009;
ADA WITH EST@-0.012 ;
AUT WITH COU@0.011;
SRE WITH PES@-0.008;
AUT WITH PAT@-0.010;
175.
161
ADA WITH LDE@-0.009;
PEMWITH STE@-0.010;
SRE WITH ENE@-0.010;
EAT WITH MRT@0.008 ;
PLA WITH ASP@-0.009;
PES WITH ENE@0.009;
LDE WITH EAT@0.007;
SCT WITH AMO@0.011;
ADA WITH SCF@0.014;
OPT WITH SEF@0.024;
ADA WITH SCT@0.017;
ASP WITH SCT@0.013;
LDE WITH SCF@-0.021;
PDE WITH SCF@0.039;
PDE WITH SCT@-0.017;
PST WITH SCF@0.016;
UOC WITH SEF@0.009;
AUT WITH SCT@-0.008;
MODEL INDIRECT:
SDL ind SEF;
SDL ind AMO;
SDL ind SCT;
SDL ind OPT;
SDL ind SCF;
SEF ind AMO;
SCT ind SCF;
OUTPUT: SAMPSTAT MODINDICES RESIDUAL STANDARDIZED FSCOEFFICIENT;
SAVEDATA:
RESULTS IS D:mplussuparA;
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 84
Loglikelihood
H0 Value -10571.795
H1 Value -10435.209
176.
162
Information Criteria
Akaike (AIC)21311.591
Bayesian (BIC) 21705.830
Sample-Size Adjusted BIC 21439.081
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit
Value 273.172
Degrees of Freedom 240
P-Value 0.0695
RMSEA (Root Mean Square Error Of Approximation)
Estimate 0.013
90 Percent C.I. 0.000 0.020
Probability RMSEA <= .05 1.000
CFI/TLI
CFI 0.998
TLI 0.998
Chi-Square Test of Model Fit for the Baseline Model
Value 15792.285
Degrees of Freedom 276
P-Value 0.0000
SRMR (Standardized Root Mean Square Residual)
Value 0.054
STANDARDIZED MODEL RESULTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
SDL BY
PED 0.727 0.016 44.294 0.000
SOD 0.801 0.013 60.249 0.000
LED 0.845 0.012 69.411 0.000
SEF BY
ENA 0.723 0.019 38.942 0.000
VIC 0.771 0.017 45.634 0.000
VER 0.395 0.030 13.093 0.000
PHY 0.393 0.030 13.051 0.000
177.
163
AMO BY
ASP 0.7970.013 60.431 0.000
EGT 0.570 0.023 24.705 0.000
MRT 0.770 0.015 52.519 0.000
PLA 0.638 0.020 32.005 0.000
UOC 0.771 0.015 51.905 0.000
SCT BY
GOA 0.756 0.014 55.680 0.000
RES 0.830 0.011 73.761 0.000
TEM 0.791 0.015 52.289 0.000
PAT 0.759 0.016 47.301 0.000
OPT BY
PEM 0.816 0.013 62.064 0.000
PEV 0.753 0.016 47.821 0.000
PES 0.861 0.011 78.574 0.000
SCF BY
EMS 0.846 0.010 87.448 0.000
COU 0.942 0.005 191.832 0.000
SRL 0.919 0.007 136.417 0.000
AUT 0.857 0.009 91.880 0.000
ADP 0.914 0.022 41.314 0.000
SDL ON
AMO 0.201 0.009 22.195 0.000
SEF 0.300 0.055 5.487 0.000
SCT 0.146 0.036 4.069 0.000
SCF 0.255 0.025 10.297 0.000
OPT 0.185 0.049 3.803 0.000
SEF ON
AMO 0.852 0.017 51.235 0.000
SCT ON
SCF 0.503 0.027 18.781 0.000
Residual Variances
GOA 0.429 0.021 20.918 0.000
RES 0.311 0.019 16.664 0.000
TEM 0.374 0.024 15.596 0.000
PAT 0.424 0.024 17.427 0.000
ASP 0.364 0.021 17.302 0.000
EGT 0.675 0.026 25.601 0.000
MRT 0.408 0.023 18.067 0.000
PLA 0.593 0.025 23.336 0.000
UOC 0.405 0.023 17.660 0.000
165
EMS 0.716 0.01643.724 0.000
COU 0.887 0.009 95.916 0.000
SRL 0.845 0.012 68.209 0.000
AUT 0.735 0.016 45.940 0.000
ADP 0.543 0.030 18.220 0.000
Latent Two-Tailed
Variable Estimate S.E. Est./S.E. P-Value
SDL 0.902 0.015 58.777 0.000
SEF 0.725 0.028 25.617 0.000
SCT 0.253 0.027 9.390 0.000
STANDARDIZED TOTAL, TOTAL INDIRECT, SPECIFIC INDIRECT, AND DIRECT EFFECTS
STDYX Standardization
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Effects from SEF to SDL
Total 0.300 0.055 5.487 0.000
Total indirect 0.000 0.000 0.000 1.000
Direct
SDL
SEF 0.300 0.055 5.487 0.000
Effects from AMO to SDL
Total 0.457 0.048 9.538 0.000
Total indirect 0.255 0.048 5.351 0.000
Specific indirect
SDL
SEF
AMO 0.255 0.048 5.351 0.000
Direct
SDL
AMO 0.201 0.009 22.195 0.000
Effects from SCT to SDL
Total 0.146 0.036 4.069 0.000
Total indirect 0.000 0.000 0.000 1.000
Direct
SDL
SCT 0.146 0.036 4.069 0.000
180.
166
Effects from OPTto SDL
Total 0.185 0.049 3.803 0.000
Total indirect 0.000 0.000 0.000 1.000
Direct
SDL
OPT 0.185 0.049 3.803 0.000
Effects from SCF to SDL
Total 0.328 0.032 10.263 0.000
Total indirect 0.073 0.018 4.002 0.000
Specific indirect
SDL
SCT
SCF 0.073 0.018 4.002 0.000
Direct
SDL
SCF 0.255 0.025 10.297 0.000
Effects from AMO to SEF
Total 0.852 0.017 51.235 0.000
Total indirect 0.000 0.000 0.000 1.000
Direct
SEF
AMO 0.852 0.017 51.235 0.000
Effects from SCF to SCT
Total 0.503 0.027 18.781 0.000
Total indirect 0.000 0.000 0.000 1.000
Direct
SCT
SCF 0.503 0.027 18.781 0.000