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008 151005t2015 my a f m 000 0 eng d
020 _aTHE0002381(Local)
039 9 _a201905271225
_bshamsul
_c201710061515
_daishah
_y201510051058
_zhuda
040 _aUMP
090 _aTA346 .H37 2015 r Thesis
100 0 _aHassan Rahnaward Ghulami
245 1 _aPartial least squares path modelling of UMP students’ attitudes on statistics achievements /
_cHassan Rahnaward Ghulami
260 _aKuantan, Pahang :
_bUMP,
_c2015
300 _axviii, 179 p. :
_bill. (some col.) ;
_c30 cm +
_e1 CD ROM
500 _aFaculty of Industrial Sciences and Technology
502 _aThesis (Master of Science (Statistics)) -- Universiti Malaysia Pahang – 2015
504 _aBibliography : p.
520 3 _aThe objective of this study is to examine the structural relationships in the hypothesised model that consisted of antecedent constructs of students‘ attitudes i.e. Affect, Cognitive Competence, Value, Difficulty, Interest, and Effort and their impacts on the statistics achievement. This study employed an experimental survey design which involved 718 undergraduate engineering students who enrolled in applied statistics courses in Universiti Malaysia Pahang. The samples were from different faculties such as Faculty of Industrial Sciences and Technology, Faculty of Electrical and Electronic Engineering, Faculty of Civil Engineering and Earth Resources, Faculty of Chemical Engineering and Natural Resources, Faculty of Industrial Management, Faculty of Computer Systems and Software Engineering, Faculty of Manufacturing Engineering, and Faculty of Mechanical Engineering. The Survey of Attitudes towards Statistics, with a seven point Likert scale was adopted and adapted from reliable instrument. The structural equation model through partial least squares estimation (SEM-PLS) using SmartPLS software was employed to evaluate the hypothesised relationships in the ―Students Attitudes – Achievement towards Statistics Model‖. From the modelling results, it revealed that all the hypothesised relationships are significant at p < 0.05 (t-value > 1.645), one-tailed test by using 5000 bootstrapped samples. In other words, the antecedent constructs of students‘ attitudes towards statistics influenced the Statistics Achievement both directly and indirectly. Overall, the hypothesised structural equation model predicted 43.3% of the total variance in Statistics Achievement with a statistical power analysis of G*Power at 95% confidence level. In addition, the f2 effect size for exogenous latent constructs and Q2 predictive relevance for endogenous latent constructs are also positive, while q2 effect sizes through blindfolding procedures are also acceptable. In conclusion, the empirical value showed that the model has the predictive capability in explaining the variances in the Statistics Achievement that are predicted by the antecedent constructs of attitude among the samples under study.
650 0 _aEngineering
_xStatistical methods
650 0 _aMathematical statistics
856 4 0 _uhttp://ecollib.ump.edu.my/3605/
_zLibrary access only
999 _aVIRTUA40
_c6269
_d6275
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