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Module B-3 Designing and ICT Business Survey

TRAINING COURSE ON THE PRODUCTION OF STATISTICS ON THE INFORMATION ECONOMY. Module B-3 Designing and ICT Business Survey. Unctad Manual Chapter 7. Objectives. After completing this module you will be able to: Design a survey on ICT use in business (sample design)

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Module B-3 Designing and ICT Business Survey

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  1. TRAINING COURSE ON THE PRODUCTION OF STATISTICS ON THE INFORMATION ECONOMY Module B-3 Designing and ICT Business Survey Unctad Manual Chapter 7

  2. Objectives After completing this module you will be able to: • Design a survey on ICT use in business (sample design) • Build a questionnaire using internationally agreed indicators • Decide on interviewing method • Define outcome indicators Contents of this module • B3.1. Survey design • Coverage, target population, statistical units • Use of statistical frames • Stratification criteria • Sample size and sample selection methods • B3.2. Model questions and questionnaires • Questions for a module on ICT • Questionnaires for stand-alone surveys

  3. B3.1. Survey design Page 69 Coverage, target population and statistical units • As with other business surveys, the scope and target population of the ICT use surveys are defined in terms of: • Industry (economic activity) • Business size • Geographical location (sometimes) Remember: • The target population is the group of statistical units that are of interest • The scope is the conceptual definition of the target population, the set of attributes that seize the target population

  4. B3.1. Survey design Page 70 Industry scope The Partnership recommends: • The core industries: The OECD core industries (ISIC Rev 3.1 D, F, G, H, I, K) • The non core industries: ISIC rev 3.1 section J and division 92. • In developing economies: • The scope of ICT business surveys may deviate from the OECD recommendation to better suit country requirements. • Partnership also encourages a broader scope, beyond OECD core and non-core industries.

  5. B3.1. Survey design Page 71 Business size • A common scope criterion is business size based on number of employees. • Partnership recommends a minimum size scope of 10 or more employees for international comparability. • Some developing economies may decide to include microenterprises (<10 employees) if they represent a large share of the in-scope population.

  6. B3.1. Survey design Page 77 Geographical location • The geographic scope of the business sector (and its parts) should in principle include the entire territory of the country. • Include both urban and rural areas. • It is necessary to establish a definition or urban/rural at country level. No international harmonized definition exist yet.

  7. B3.1. Survey design Page 75 Statistical units • The Partnership recommends the “enterprise” as the statistical unit. • It is the most common. • The SNA93 concept of enterprise: • “An institutional unit in its capacity as a producer of goods and services” • With autonomy in decision-making • One or more legal units involved in one or more activities at one or more locations • A corporation or an unincorporated enterprise.

  8. B3.1. Survey design Use of population statistical frames • Business registers should be improved through the coordination with other sources • General administrative registers: taxes, registrations, licenses, social security, etc. • Specific registers: licenses for operating telecommunications businesses • Statistical databases: updated from economic censuses.

  9. B3.1. Survey design If no business register is available • Population frames can be obtained from other sources • Lists of live units in economic censuses • External directories • Commercial telephone listings • Industry association lists • The frame should be checked in terms of coverage • Comparison with external sources • Adjusting of the estimates (reweighting) • If the population frame lacks information on industry or size • The survey should include questions to classify the respondent unit

  10. B3.1. Survey design Sample Design • Sample selection should be made using probabilistic techniques • This guarantees that the sample is truly representative of the population • Only probabilistic (random) sampling allows calculation of estimates of the sampling error • The design of a random sample should consider: • The structure of the population of businesses (its stratification), • The cost of collecting data and, • The maximum acceptable statistical error associated with estimates.

  11. B3.1. Survey design Page 77 Stratification criteria • Optimal stratification for ICT use business surveys • Basic stratification variables • Industry and • Size of business • Additional stratification variable • Geographical location of the business

  12. B3.1. Survey design Sample size Methods for deriving the sample size and design: • Bottom-up procedure • Use of estimates of sampling error and auxiliary information • Setting the required precision (CV); no international recommendations • Eurostat recommendations (page 78, number 208) • Adjusting of total sample size • Top-down Procedure • Calculation of the overall sample size • Available budget and collection unit cost • Allocation of the sample by strata

  13. B3.1. Survey design Sample Selection Methods • Simple random sampling • Random draw of n numbers between 1 and N • Generation of random numbers • Statistical software • Random numbers tables

  14. Sample Selection Methods Systematic sampling Procedure Arrangement of units from 1 to N Obtain: - Interval K=N/n - Starting point t (random number between 1 and K) Selection of units t+i*k (i=0,1,...,n) Advantage: it may improve representativeness of the sample Disadvantage: it produces biased estimates (unless the weighting factor is adjusted) B3.1. Survey design 14

  15. B3.2. Model questions and questionnaires Topics covered by Sub-module B3.2 • Building a questionnaire using internationally agreed indicators • Selecting topics to be included in the questionnaire • Preparing topic-related questions • Choosing appropriate wording • Preparing answer patterns • Deciding on interviewing method • Defining outcome indicators

  16. Page 59 B3.2. Model questions and questionnaires Structure of a Module

  17. B3.2. Model questions and questionnaires Suggested model questions

  18. B3.2. Model questions and questionnaires Suggested model questions (cont.)

  19. B3.2. Model questions and questionnaires Suggested model questions (cont.)

  20. B3.2. Model questions and questionnaires Structure of a Questionnaire

  21. B3.2. Model questions and questionnaires Annexes 2 to 4 Pages 125-153 Model questionnaires • The OECD model questionnaire • Suitable for a broad range of industries • Modules can be adapted to any specific sector • Eurostat model questionnaires • Cover more topics than the OECD model • Rotate topics between years • UNCTAD model questionnaire • Covers core indicators • Has 3 modules • A – General Information • B – How the business uses the Internet in its operations • C – Other information about the business

  22. B1.3. Concepts and definitions of ICT indicators ReviewModule 3 essentials • Coverage, target population, statistical units • Use of statistical frames • Stratification criteria • Sample size • Sample selection methods • Questions for a module on ICT • Questionnaires for stand-alone surveys 22

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