3 Courses
Micro Award Questionnaire-based and Qualitative Research in Health Sciences (RQQ)
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| Module Synopsis | : | This module introduces students to the basic concepts of Marketing, the importance of strategic planning and elements in the marketing environment. |
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Micro Award Multivariate Analysis and Research Exploration (MARVEL)
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: | RESEARCH METHODOLOGY AND BIOSTATISTICS MCN 5203 | ||||||||||||||||
| Module Title | : | Micro Award Multivariate Analysis and Research Exploration (MARVEL) | ||||||||||||||||
| Module Code | : | MCN 5151 | ||||||||||||||||
| Credit Hours | : | 1 | ||||||||||||||||
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: | online | ||||||||||||||||
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: | English | ||||||||||||||||
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| Module Synopsis | : | This course provides an intensive exploration of advanced research frameworks and the statistical architectures required to analyze complex health data. Students will master the transition from selecting a robust Research Design (Experimental, Cohort, or Mixed Methods) and Sampling Strategy (Stratified, Snowball, etc.) to executing sophisticated multivariate analyses. A significant portion of the course is dedicated to GLM (General Linear Model) extensions, specifically looking at how health outcomes change over time or across intervention groups using Repeated Measures and Mixed ANOVA, as well as predicting outcomes using Multiple Linear Regression | ||||||||||||||||
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| Fee | : | 750 | ||||||||||||||||
| Lecturer's Name | : | Assoc Prof Dr Nur Zakiah Mohd Saat |
Micro Award Data Analysis Techniques and Statistical Evaluation in Health Sciences (DATAWISE)
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| Course Name |
: | MCNN5113 Kaedah Penyelidikan dan Biostatistik dalam Sains Kesihatan/ Research Methodology and Biostatistic in Health Sciences | ||||||
| Module Title | : | Anugerah Mikro Teknik Analisis Data dan Penilaian Statistik dalam Sains Kesihatan (DATAWISE) | ||||||
| Module Code | : | MCNN5141 | ||||||
| Credit Hours | : | 1 | ||||||
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: | ONLINE | ||||||
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: | ENGLISH | ||||||
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| Module Synopsis | : | Data in research can be classified into nominal, ordinal, interval, and ratio, and the choice of statistical test depends on these measurement levels and whether the data meet normality assumptions. Hypothesis testing involves comparing the null and alternative hypotheses using methods such as t-tests, ANOVA, Chi-Square, or nonparametric tests, depending on the type of data and distribution. To explore relationships, correlation measures the strength and direction between variables, while regression models and predicts outcomes based on one or more predictors. |
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| Fee | : | 700 | ||||||
| Lecturer's Name | : | Assoc Prof Dr Nur Zakiah Mohd Saat |
