In this paper we discuss two sets of procedures designed to reduce measurement error during two separate phases of an establishment survey. The first set is concerned with questionnaire design and pretesting. The second set focuses on steps to identify correct respondents and to contact them

Questionnaires are certainly the best-known of the research instruments used for gathering information from people, and they can be used in conjunction with other techniques. Volumes have been written on the subject. This is because, like research itself, questionnaires are based upon

rkfsbopfqv=lc=jf`efd^k=

the World Bank. DISCLAIMERS The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors and should not be attributed in any manner to the World Bank, to its affiliated organizations, or to members of its Board of Executive Directors or the countries they represent. CONTACT INFORMATION To order additional copies of this discussion paper please contact the Energy Help Desk: +1.202.473.0652

This paper will focus on establishment survey questionnaire design guidelines. More specifically, it will discuss the process involved in transitioning a set of guidelines written for a broad, survey methodological audience to a more narrow, agency-specific audience of survey managers and analysts

Instead of the heuristic randomization methods to design split questionnaires that are currently used in applied and academic research, we develop a methodology to design the split questionnaire to minimize information loss using estimates from a first wave or pilot study. Because the number

Surveys are a commonly used method within HCI research. While it initially appears easy and inexpensive to conduct surveys, overlooking key considerations in questionnaire design and the survey research process can yield skewed, biased, or entirely invalid survey results. Fortunately decades

In 1980, Labaw argued that the greatest weakness of questionnaire design was lack of theory. Since then many books and articles have been written on the subject, and much research conducted into elements of the process. Despite this, a coherent theory of questionnaire design remains elusive

this report evaluates an alternative Community Survey (ACS) included an experimental test design for the CATI instrument used in the middle stage of two instrument structures --- the traditional "person- of data collection.

Inferring key unobservable features of individuals is an important task in the applied sciences. In particular, an important source of data in fields such as marketing, social sciences and medicine is questionnaires: answers in such questionnaires are noisy measures of target unobserved features