Archives

Search Archives

Transforming Secondary Education: New $100 million initiative to improve education quality across the nation.
Learn More »

Recent Spotlights »

View all Archives - Environment and Development »

The American Energy Consumer







blocks in an urban area, or a geographic segment well defined by roads, streams, or other landmarks in a rural area.

In some locations, addresses were selected at the central survey office from listings previously compiled by interviewers. In other locations, interviewers listed addresses and selected specific households during the same visit to the sample location, following explicit instructions for both the listing and the selection processes. Once households were selected, no replacements or substitutions were permitted.

Oversampling the Poor.

Locations in the lowest socioeconomic quartile (identified either on the basis of percent of families below the poverty level in 1969, or average value of housing units in the area) were selected with higher probability than were other locations. The purpose of the oversampling was to include in the sample a larger number of poor households than would have been included in a proportionate sample of the total household population. In the analysis of survey data, weights were used to compensate for differences in probability of selection.

Response Rates

Altogether, 2,224 households (occupied housing units) were included in the survey sample. Interviewers normally made up to four visits to sample households, as necessary, to complete the interview. Interviews were completed for 1,455 households, or 65 percent of those assigned. Interview completion rates were highest in nonmetropolitan areas and lowest in central cities of metropolitan areas.

Weighting Procedures

Weights were calculated for each sample household to (1) compensate for differences in probabilities of selection by socioeconomic quartile, (2) adjust for differences in interview completion experience in different sampling locations, and (3) expand data for sample households to estimates for the total universe (all households in the United States as of that time).

Survey Reliability

All survey data are, of course, subject to random sampling variability. Sampling error figures are estimates of the differences that might be expected between the survey results and results of a complete enumeration using the same survey procedures. Sampling error may have a substantial effect on survey figures, particularly when results are reported for small subgroups of the total sample.

Results are also subject to response and nonreporting errors. Weighting procedures were used to adjust for variations in interview completion experience in different interviewing locations, but no additional corrections were introduced for nonresponse patterns. Estimates based on the sample, however,