Identification patterns vary significantly by age, family context and survey characteristics.
Additionally, survey characteristics must be complemented by effective field work in order to generate high quality data.
However, not much is known at present about the relationship between survey characteristics and the level of protesting.
This paper analyses the impact of survey characteristics on the measurement of food consumption from a sample of 81 national surveys.
Survey characteristics affect the quality of the measurement of food consumption within households; thus, it is important to identify best practices for designing surveys that collect food data.
The impact of the different survey characteristics carries substantive implications when food consumption data are employed for assessing food security conditions.
For example, it is well-known that answers to questions on life satisfaction partly depend on mood, on the previous questions asked in the survey and on other survey characteristics (Kahneman and Krueger 2006; Conti and Pudney 2011).
Table 1 Sample distribution of the 59 high school biology teachers in the survey Characteristics No. of teachers Percent Gender Female 39 66.1 Male 20 33.9 Years of Teaching 10 years or less 35 59.3 Above 10 years 24 40.7.
The greater male variance does not depend on the content area, the educational level and the survey characteristics, even if the greater male variance is slightly higher in reading than in mathematics and science at the secondary level rather than at the primary level, and in PISA surveys compared to IEA surveys.
Descriptive statistics were used to compute proportions and means, taking into account the survey characteristics ("svy" command in STATA).
