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Baseline Survey & Market Research (SPSS)
|Course name||:||Baseline Survey & Market Research (SPSS)|
|Start date||:||20 Sep 2018|
|Finish date||:||21 Sep 2018|
|Number of days||:||1|
|Day of week||:||Thu|
|Training fees||:||$ 190.00 (Local NGO), $ 220.00 (International NGO)|
Introduction: New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.
It is essential that these efforts go beyond merely generating new insights from data but also to systematically enhance individual human judgment in real development contexts.
How can organizations better manage the process of converting the potential of data science to real development outcomes? How can organizations go beyond merely generating new insights to changing behaviors — not only of their employees, but beneficiary and communities too?
This three days course is tailored to put all these important consideration into perspective.
I. Overview to Baseline Survey
- Why is baseline survey in necessary?
II.Establish Survey Objective
III. Establish the Unit of Analysis
Types of Unit of Analysis
- Social group
IV. Sampling Procedures and Sample Size
A. Sampling procedures for qualitative research
1. Opportunity Sampling
2. Purposive or judgmental sampling
3. Snowball sampling
B. Sampling procedures in quantitative studies
1. Pre-data collection visit
2. Simple random sampling
3. Stratified or strata sampling
4. Systematic random sampling
5. Cluster sampling
6. Multiple phase sampling
C. Determining the sample size
V. Determine Data Collection Methods
2. Some Choices of data collection method
3. Comparison of Major Data Collection Method
4. Secondary data
5. Primary data
VI. Identify Data Sources for Your Indicators
2. Specific individual
3. General public
VII. Questionnaire Design
- Questionnaire Development
3. To write effective questions
4. Format and Style
5. Guideline for Data Collector
6. Field pre-testing
VIII. Formulating Questions
1. Types of questions
- Open-ended questions
- Closed questions
- Probe questions
2. Common errors in designing questions
Poorly constructed questions
3. Questions using scaling techniques
4. Sensitive questions5. Format and layout of questions
IX. Processing and Summarizing the Data
1. Quantitative Data Analysis
1.1 Preparing for data handling
- Editing the raw data
- Collapsing data onto the database
- Cleaning the data
- Data reduction or summarizing the data
- Organize the Data
- Descriptive statistics
- Dealing with multiple response
- Classify and group/consolidate the data
2. Qualitative Data Analysis
Who should attend : Project Officer, Marketing Officer or suppervisor, M& E supervisors/managers.
Languages: Khmer language will be used by our professional trainers for the course with some technical English terms and handout is in Khmer and English.
Training Venue:G-Mekong Hotel,Mondol Kiri, Tonle Basac, Training Studio in Phnom Penh
Training Timing: 8:00am till 5:00pm two full intensive days
Included: Handout in Khmer and English- Handout in both hard copy and soft copy - Lunch for all 2 days - Snack all training time – Software Tools for the course- Certificate of Attendance - Coaching after the course, Soft PTT, Training report if needed
Registration: a- The first 2 participants will be 5 % discount if prepayment and b- 5 % discount for the former participants
To register, kindly send us the followings via email or SMS: (your name, Tel, company & position) to email@example.com or 092 220 316 / 016 623 934. The deadline of the registration is two day before the course.
Payment Method: Pre-payment or payment upon arrival is necessary.