ESENER-PSR 2009 - European Agency for Safety and Health at Work

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decided to take part in the interview. The personnel manager of the chosen establishment might not be willing to participate or might not be available during the fieldwork period. 20 By applying the described procedure it is ensured that all establishments with 10 or more employees - including the headquarters where usually the respondent of the first contact is located - have a chance 21 to be chosen for the interview. 4.2.2 Alternative approach: Yellow Pages-based sampling Theoretically, an alternative approach for getting establishment addresses in a country with no suitable establishment register would be to randomly draw a number of addresses from the Yellow Pages and set up quotas for the various size-classes and sectors of activity. The chosen addresses then have to be contacted and screened for both size-class and sector of activity. Finally, an interview can be conducted in all those workplaces which turn out to have ten or more employees. In the course of the fieldwork, cell by cell then has to be closed as soon as the quota set for the cell (sector of activity/size-class) are complete. In the “closed” cells, no further interview can be conducted. This alternative solution seems quite plausible at a first glance, but it has a series of major disadvantages: As the chosen addresses do not provide any information about the number of employees, an enormous number of futile contacts with establishments below the set size-threshold of 10 employees is unavoidable. The absolute number of large-sized establishments is very low in most countries, but due to the disproportionate sampling-approach a large number of interviews have to be conducted in larger establishments. Using an address-register without any information about the size of an enterprise, it is therefore hardly possible to meet the quota of the largest size-classes, whereas the cells with the smaller enterprises fill up pretty soon 22 . The dimensions of this problem can not be over-emphasized, as the figures from Germany show in an exemplary way: 20 Yet the rate of non-response can be expected to be lower than with a completely “fresh” address, because the interviewer can refer to the previous contact with another part of the company – usually the headquarters. 21 It has however to be noted that this procedure does not produce a “perfect” sample, since the statistical chance of being selected for the interview is not equal for all units: Units of multi-site enterprises have a smaller chance of being selected since of each multi-site enterprise only one of the establishments is selected for the interview. In an establishment address register, in turn, establishments of multi-sites have the same statistical chance of being selected than single-site companies. 22 Similarly, it would be difficult to meet the quota for the industry-sectors, as these are often only partially listed in Yellow Pages due to their limited interest in being contacted by the public. 39
a) Universe b) Targets Size class Establishments Establishments disproportional sample (in %) (n) in size-classes 10+ 1 to 9 72,7% 727 0 10 to 19 14,9% 149 260 20 to 49 7,6% 76 260 50 to 199 3,8% 38 250 200 + 1,0% 10 230 Total 100,0% 1000 1.000 For practical reasons, this alternative is not an option for a survey like the ESENER. Due to the extremely high number of futile contacts due to the size threshold, this alternative would be too expensive and time-consuming. Also, it presupposes the availability of a reasonably comprehensive, computerized Yellow Pages register which is not in all countries at hand. 40
Page 1 and 2: European Survey on New and Emerging
Page 3 and 4: Contents Page Preface 5 1. Challeng
Page 5 and 6: 5.30 Switzerland 75 5.31 Norway 76
Page 7 and 8: 1. Challenges for the sampling and
Page 9 and 10: For entities of the Public Administ
Page 11 and 12: equires the availability of address
Page 13 and 14: ends much earlier: the largest size
Page 15 and 16: of empl. in est. est. 10+ Est. prop
Page 17 and 18: at least rough information (size-cl
Page 19 and 20: owned by the state and may include
Page 21 and 22: 2. The address registers 2.1. Types
Page 23 and 24: 2.1.2 Commercial address-providers
Page 25 and 26: accessible in the country. The resp
Page 27 and 28: The way how this problem was tackle
Page 29 and 30: If available: Distribution of emplo
Page 31 and 32: statistical offices - especially th
Page 33 and 34: Estimates derived from the ratio be
Page 35 and 36: 4. Company vs. establishments: Prob
Page 37 and 38: A somewhat special case is Greece:
Page 39: MM052 Would you please tell me how
Page 43 and 44: 5.01 Belgium Address-source: Belfir
Page 45 and 46: 5.03 The Czech Republic Address-sou
Page 47 and 48: 5.05 Germany Address-source: Establ
Page 49 and 50: 5.06 Estonia Address-source: Estoni
Page 51 and 52: Source for Statistics: General Secr
Page 53 and 54: Source for Statistics: DIRCE (Direc
Page 55 and 56: 5.10 Ireland Address-source: BILL M
Page 57 and 58: 5.12 Cyprus Address-source: Busines
Page 59 and 60: 5.14 Lithuania Address-source: Busi
Page 61 and 62: 5.16 Hungary Address-source: HBI LT
Page 63 and 64: 5.18 The Netherlands Address-source
Page 65 and 66: 5.20 Poland Address-source: PCM (Po
Page 67 and 68: 5.22 Romania Address-source: www.Li
Page 69 and 70: 5.24 Slovakia Address-source: Alber
Page 71 and 72: 5.26 Sweden Address-source: SCB Fö
Page 73 and 74: 5.28 Croatia Address-source: Instit
Page 75 and 76: LFS data, it is plausible that the
Page 77: 5.31 Norway Address-source:: Lindor

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