Purpose of the course:
Admission requirements:
Course outcomes and assessment criteria :
Study Unit 
Outcomes 
Assessment Criteria 
After completion of this course, participants will:  Participant will be assessed on the following criteria:  
MODULE 1 (US 246515) ANALYSE PUBLISHING RESEARCH DATA At the end of the learning cycle the learners will demonstrate knowledge and understanding of:

1. Select and use appropriate analysis tools. 
ASSESSMENT CRITERION 1 Identify the purpose of analysis within given specifications. 
ASSESSMENT CRITERION 2 Select analysis tools for their relevance to specific projects or the organisational requirements. 

ASSESSMENT CRITERION 3 Brake down given data into logical parts or facts by applying selected analysis tools. 

2. Find relationships between data parts. 
ASSESSMENT CRITERION 1 Compare data parts based on the purpose of analysis. 

ASSESSMENT CRITERION 2 Identify differences between data parts are based on the purpose of analysis. 

ASSESSMENT CRITERION 3 Find correlations and conjunctions between data parts are based on the purpose of analysis. 

ASSESSMENT CRITERION 4 Identify trends in the data based on the purpose of analysis. 

ASSESSMENT CRITERION 5 Contextualise findings are within the purpose of analysis and organisational requirements. 

3. Record final analysis for accessibility by decisionmakers. 
ASSESSMENT CRITERION 1 Complete he analysis is within the agreed time frames and budgets. 

ASSESSMENT CRITERION 2 State and record defensible assumptions. 

ASSESSMENT CRITERION 3 Formulate conclusions are in accessible formats. 

ASSESSMENT CRITERION 4 Make recommendations relevant to organisational requirements are made. 

MODULE 2 (US 262539) UTILISE ALTERNATIVE METHODS TO COLLECT DATA At the end of the learning cycle the learners will demonstrate knowledge and understanding of:

1. Compare various data collection methods. 
ASSESSMENT CRITERION 1 Describe different data collection methods to compare their advantages and disadvantages. 
ASSESSMENT CRITERION 2 Evaluate a specific data collection method used in a survey in view of the survey objectives and resource constraint. 

ASSESSMENT CRITERION 3 Select a data collection method for a survey in view of the survey objectives and resource constraint. 

ASSESSMENT CRITERION 4 Explain the difference between primary and secondary data sources to distinguish methods of data collection in each case. 

2. Explain the basic principles of data collection. 
ASSESSMENT CRITERION 1 Explain the term survey to distinguish it from other data collecting activities such as census and experiment. 

ASSESSMENT CRITERION 2 Identify a given data collecting activity as a census, a survey, an experiment or an administrative data collection 

ASSESSMENT CRITERION 3 Describe the various stages of primary data collection to highlight the advantages and disadvantages of different approaches used at each stage. 

ASSESSMENT CRITERION 4 Describe the key functions of an enumerator to reflect the qualities of a good enumerator. 

ASSESSMENT CRITERION 5 Describe the key functions of a supervisor to reflect the qualities of a good field supervisor. 

3. Explain the main stages in planning a survey. 
ASSESSMENT CRITERION 1 Define the basic terms associated with surveys to prepare for survey planning activities. 

ASSESSMENT CRITERION 2 Identify and define basic terms not limited to population, sample, sampling units and sampling frame. 

ASSESSMENT CRITERION 3 Describe the main stages in planning a survey in order to reflect a comprehensive survey process. 

ASSESSMENT CRITERION 4 Explain the importance of sensitivity to social profile in planning a survey to reflect the way it affects data collection. 

4. Design and evaluate questions for simple survey objectives. 
ASSESSMENT CRITERION 1 Construct a few survey questions in order to obtain information relevant to the survey objectives. 

ASSESSMENT CRITERION 2 Examine survey questions critically to assess their relevance to the survey objectives. 

ASSESSMENT CRITERION 3 Modify survey questions in order to improve the chance of obtaining reliable responses. 

MODULE 3 (US 262538) USE STATISTICAL METHODS TO ANALYSE DATA At the end of the learning cycle, the learners will demonstrate knowledge and understanding of:

1. Use graphical methods to explore and present data. 
ASSESSMENT CRITERION 1 Produce graphical and tabular representations to explore data in view of the purpose of the investigation. 
ASSESSMENT CRITERION 2 Interpret graphical and tabular representations in order to draw preliminary conclusions. 

ASSESSMENT CRITERION 3 Utilise graphical and tabular representations are to detect outliers in the data. 

ASSESSMENT CRITERION 4 Use graphical and tabular representations are to present results. 

2. Calculate and interpret sample statistics. 
ASSESSMENT CRITERION 1 Calculate different and appropriate numerical summary statistics to explore the behaviour of the data. 

ASSESSMENT CRITERION 2 Interpret the calculated values of summary statistics in terms of the survey objectives. 

ASSESSMENT CRITERION 3 Select a numerical summary statistic in order to make comparison between data. 

ASSESSMENT CRITERION 4 Explain the limitations of the summary statistics in order to assist their interpretation. 

ASSESSMENT CRITERION 5 Calculate Pearson's product moment correlation coefficient to examine the strength of relationship between variables. 

3. Fit and interpret linear regression models. 
ASSESSMENT CRITERION 1 Construct a scatter plot using a computer software to explore the relationship between variables. 

ASSESSMENT CRITERION 2 Interpret a scatter plot in order to decide whether a linear relationship exists between variables. 

ASSESSMENT CRITERION 3 Calculate least squares estimates using computer software in order to fit a regression line. 

ASSESSMENT CRITERION 4 Perform residual analysis to determine validity of the normality assumption. 

4. Perform chisquare tests. 
ASSESSMENT CRITERION 1 State appropriate null and alternative hypotheses for a given problem. 

ASSESSMENT CRITERION 2 Organize data into a contingency table to prepare for a chisquare test. 

ASSESSMENT CRITERION 3 Perform a chisquare test in using computer software to test for independence or homogeneity. 

ASSESSMENT CRITERION 4 Interpret a pvalue from the test in order to draw conclusions about the study problem. 

ASSESSMENT CRITERION 5 State assumptions of the chisquare test in order to evaluate the validity of the test. 

5. Perform nonparametric tests. 
ASSESSMENT CRITERION 1 Select and perform appropriate nonparametric test for testing a hypothesis. 

ASSESSMENT CRITERION 2 Discuss the limitations of the specific nonparametric test in order to assess the validity of the test. 

ASSESSMENT CRITERION 3 State the assumptions of a nonparametric test so as to make correct use of the test. 

ASSESSMENT CRITERION 4 Compare nonparametric tests to facilitate choice of an appropriate test for use in a given context. 

ASSESSMENT CRITERION 5 Calculate Spearman's rank correlation coefficient to examine the strength of relationship between variables. 