Conducting a quantitative survey
A survey, used for a quantitative analysis, is not reserved only for the social scientist. It has become an indispensable tool for social planning, management and program evaluation. Because of its reliance on sampling quality, surveying is a complex process. What is the most appropriate sampling model for your survey objectives? How can you maximize the degree of generalizability of potential results? What are the potential sources of error given the choice made? Between the ideal and the possible, what are the possible sampling trade-offs? How can the representativeness of the analytical sample be judged? Should the sample be adjusted? How to deal with missing values? Is the analytical sample of sufficient size to allow meaningful statistical inference?
The objective of this training is to provide participants survey technique as a tool for program management and evaluation in businessThis training will allow participants to master the following knowledge:
- Understanding the rules of a successful survey and sampling practices.
- Master the techniques of writing a reliable questionnaire.
- Develop reliable questionnaires.
- Define the issues and objectives of studies.
- Measuring concepts/variables, questionnaire design and administration.
- The creation of databases.
- Data analyses.
The details
This training is organized around the following areas:
The question of interest
- Definition, delimitation of the problem and objectives of the studies, definition of the methods and techniques for collecting information, setting up specifications for the studies.
- Overview of the Investigation Process
- Inference and errors in surveys
- Target populations, sampling frames and coverage error
- Sampling design and sampling error
- Sample selection
Sampling Methods
- Description of sampling techniques – population, sample, probability and non-probability approaches, advantages and limitations , sample construction methods
- Methods of data collection
- Non-response in sample surveys
- Questions and Answers in Surveys
- Estimate generatio
Measurements of variables
- Definition of key concepts – measurement, measuring instrument, types and characteristics of measuring instruments
- Advantages and limitations of measuring instruments
- Development of the questionnaire on substance and form, techniques for administering the questionnaires, creation of a quantitative databas
Descriptive, factorial and data reliability analyses
- Descriptive techniques.
- Factorial and data reduction techniques.
- Reliability assessment techniques for measuring instruments.
- Translation of results into managerial recommendation
The clients
This training is intended for all analysts and professionals seeking to acquire the necessary skills to help conduct a survey and analyze data.
- Level : Beginner
- Duration : Two days