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Kaedah Penilaian : Penilaian berterusan: 70%, peperiksaan 30%
Assesment Method : Continuous assessment assignments 70%, exam 30%

Bahasa Pengantar : Bahasa Malaysia dan Bahasa Inggeris
Medium of Instruction : Malay and English

Rujukan Utama/Main References:

Cresswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3 , ed.). LA: Sage Publication.
rd
Denzin, N. K., & Lincoln, Y. S. (Eds.) (2000). Handbook of qualitative research. California: Sage.
Flick, U., Kardoff, E. V., & Steinke, I. (2004). A companion to qualitative research. London: Sage.
Seale, C., Gobo, G., Gubrium, J. F., & Silverman, D. (Eds.) (2004). Qualitative research practice. London: Sage.
Silverman, D. (Ed.). (2004). Qualitative research: Theory, method & Practice. London: Sag

PXHD 7103 ANALISIS DATA KUANTITATIF DALAM PENDIDIKAN 3 KREDIT
QUANTITATIVE DATA ANALYSIS IN EDUCATION CREDITS

Sinopsis/Synopsis

Fokus kursus ini akan membincangkan beberapa teknik penganalisisan data kuantitatif serta anggapannya supaya calon dapat
memilih statistik yang bersesuaian untuk menjawab soalan kajian mereka. Antara tajuk penting yang akan dibincangkan adalah
statistik deskriptif dan inferensi lanjutan dalam penganalisisan data seperti analisis bivariat untuk menguji perbezaan, analisis bivariat
untuk menguji hubungan, teknik bukan parametrik, ANOVA dua hala, analisis haluan, analisis residual, dan teknik multivariat. Teknik
multivariat yang akan dibincangkan temasuk analisis regresi, analisis faktor, model persamaan berstruktur, analisis rumpun, korelasi
kanonikal, model siri tempoh, analisis diskriminan, dan MANOVA. Kursus ini akan dibantu dengan penggunaan pakej perisian statistik
yang tertentu. Calon juga akan didedahkan kepada format terkini melaporkan keputusan berbentuk kuantitatif.

The focus of this course are to discuss several statistical techniques in analyzing quantitative data as well as several assumptions and
practical considerations underlying application of these techniques so that candidates are able to choose appropriate statistical
techniques to answer their research questions. Topics in this course include advanced statistics (descriptive and inferential) such as
bivariate analyses to test for differences, bivariate analyses to test for relationships, nonparametric techniques, two-way ANOVA, path
analysis, residual analysis, and multivariate techniques. Among the multivariate techniques that will be discussed are regression
analysis, factor analysis, structural equation modelling, cluster analysis, canonical correlation, time series modelling, discriminate
analysis, and MANOVA. The course will be supported by the use of statistical software packages. Candidates will also be exposed to
the current convention of reporting their quantitative data.

Kaedah Penilaian : Penilaian berterusan: 70%, peperiksaan 30%
Assesment Method : Continuous assessment assignments 70%, exam 30%

Bahasa Pengantar : Bahasa Malaysia dan Bahasa Inggeris
Medium of Instruction : Malay and English

Rujukan Utama/Main References:

Blaikie, N. (2003). Analyzing quantitative data: From description toexplanation. New Delhi: Sage.
Byrne, D. (2002). Interpreting quantitative data. New Delhi: Sage.
Hardy, M. A., & Bryman, A. (2004). Handbook of data analysis. New Delhi: Sage.
Muijs, D. (2004). Doing quantitative research in education with SPSS. London: Sage
Spicer, J. (2004). Making sense of multivariate data analysis: An intuitive approach. New Delhi: Sage

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