What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
12 years High Absent Father age present alimony payments arithmetic mean awarded child support Census child support payments child Two children children Four children Children Present children under 21 constant dollars Current Marital Status Current Population Survey ended in divorce Estimated Numbers Father One child formula High school Hispanic Origin White Hispanic women Hispanic4 households income from child Less than 12 level Standard error lncome Mean income Mean total money money income dollars Never married Race Number below poverty Numbers in thousands Origin White Black payments in 1985 Payments Received poverty level Standard poverty thresholds present from absent previous marriage ended property settlement Race and Hispanic reason for non-award Received in 1985 sample design School Completed Less Selected Characteristics small number spring Standard error dollars support and alimony Supposed to receive table B-4 Three children Four Total Current Marital total money income Total Standard error women whose previous
Page 21 - In order to derive standard errors that would be applicable to a wide variety of items and could be prepared at a moderate cost, a number of approximations were required. As a result, the tables of standard errors provide an indication of the order of magnitude of the standard errors rather than the precise standard error for any specific item.
Page 19 - Data reliability The data in this bulletin are estimates from a scientifically selected probability sample. There are two types of errors possible in an estimate based on a sample survey, sampling and nonsampling. Sampling errors occur because observations come only from a sample and not from an entire population. The sample used for this survey is one of a number of possible samples of the same size that could have been selected using the sample design. Estimates derived from the different samples...
Page 17 - Families and unrelated individuals are classified as being above or below the poverty level using the poverty index originated at the Social Security Administration in 1964 and revised by Federal Interagency Committees in 1969 and 1980.
Page 20 - Approximately 95 percent of the intervals from two standard errors below the estimate to two standard errors above the estimate would include the average result of all possible samples.
Page 19 - The estimating procedure used in this survey involved the inflation of the weighted sample results to independent estimates of the civilian noninstitutional population of the United States by age, race, and sex. These independent estimates were based on statistics from the 1960 Census of Population; statistics of births, deaths, immigration, and emigration; and statistics on the strength of the Armed Forces.
Page 19 - The estimates in this report for 1985 and later also employ a revised survey weighting procedure for persons of Hispanic origin. In previous years, weighted sample results were inflated to independent estimates of the noninstitutional population by age, sex, and race. There was no specific control of the survey estimates for the Hispanic population. Since then, the Bureau of the Census developed independent population controls for the Hispanic population by sex and detailed age groups.
Page 18 - The index is based on the Department of Agriculture's 1961 economy food plan and reflects the different consumption requirements of families based on their size and composition.
Page 21 - The reliability of an estimated percentage, computed by using sample data for both numerator and denominator, depends upon both the size of the percentage and the size of the total upon which the percentage is based. Estimated percentages are relatively more reliable than the corresponding estimates of the numerators of the percentages, particularly if the percentages are 50 percent or more.
Page 19 - Nonsampling variability. Nonsampling errors can be attributed to many sources, eg, inability to obtain information about all cases in the sample, definitional difficulties, differences in the interpretation of questions, inability or unwillingness...