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All (44) (20 to 30 of 44 results)

  • 21. Weighting and variance estimation for the exploration of possible time trends in data from the U.S. Third National Health and Nutrition Examination Survey Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015031
    Description:

    The U.S. Third National Health and Nutrition Examination Survey (NHANES III) was carried out from 1988 to 1994. This survey was intended primarily to provide estimates of cross-sectional parameters believed to be approximately constant over the six-year data collection period. However, for some variable (e.g., serum lead, body mass index and smoking behavior), substantive considerations suggest the possible presence of nontrivial changes in level between 1988 and 1994. For these variables, NHANES III is potentially a valuable source of time-change information, compared to other studies involving more restricted populations and samples. Exploration of possible change over time is complicated by two issues. First, there was of practical concern because some variables displayed substantial regional differences in level. This was of practical concern because some variables displayed substantial regional differences in level. Second, nontrivial changes in level over time can lead to nontrivial biases in some customary NHANES III variance estimators. This paper considers these two problems and discusses some related implications for statistical policy.

    Release date: 1999-10-22
  • 22. The Long-term consequences of growing up with a single parent Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015032
    Description:

    The objective of this research project is to examine the long-term consequences of being raised in a single parent household. We examine the impact of parental separation or divorce on the adult labour market behaviour of children ten to fifteen years after the event. In particular, we relate the family income and household characteristics of a cohort of individuals who are 16 to 19 years of age in 1982 to their labour market earnings, reliance on social transfers (UI and Income Assistance), and marital/fertility outcomes during the early 1990s, when they are in their late 20s and early 30s. Our data is based upon the linked income tax records developed by us at Statistics Canada, the Survey of Labour and Income Dynamics, and the National Longitudinal Survey of Children and Youth.

    Release date: 1999-10-22
  • 23. Probability of victimization over time: Results from the U.S. National Crime Victimization Survey Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015033
    Description:

    Victimizations are not randomly scattered through the population, but tend to be concentrated in relatively few victims. Data from the U.S. National Crime Victimization Survey (NCVS), a multistage rotating panel survey, are employed to estimate the conditional probabilities of being a crime victim at time t given the victimization status in earlier interviews. Models are presented and fit to allow use of partial information from households that move in or out of the housing unit during the study period. The estimated probability of being a crime victim at interview t given the status at interview (t-l) is found to decrease with t. Possible implications for estimating cross-sectional victimization rates are discusssed.

    Release date: 1999-10-22
  • 24. An increment-decrement model of secondary school progression for Canadian provinces Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015034
    Description:

    A model of secondary school progression has been estimated using data from the 1991 School Leavers Survey conducted by Statistics Canada. The data on which the school progression model was based comprised current educational status and responses to retrospective questions on the timing of schooling events. These data were sufficient for approximate reconstruction of educational event histories of each respondent. The school progression model was designed to be included in a larger, continuous time micro-simulation model. Its main features involve estimation -- by age, month of birth and season for both sexes in each province -- of rates of graduation, of dropout, of return and of dropout graduation. Estimation was reinforced with auxiliary 1991 Census and administative data.

    Release date: 1999-10-22
  • 25. Estimation with partial overlap longitudinal samples Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015035
    Description:

    In a longitudinal survey conducted for k periods some units may be observed for less than k of the periods. Examples include, surveys designed with partially overlapping subsamples, a pure panel survey with nonresponse, and a panel survey supplemented with additional samples for some of the time periods. Estimators of the regression type are exhibited for such surveys. An application to special studies associated with the National Resources Inventory is discussed.

    Release date: 1999-10-22
  • 26. Multivariate logistic regression for data from complex surveys Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015036
    Description:

    Multivariate logistic regression, introduced by Glonek and McCullagh (1995) as a generalisation of logistic regression, is useful in the analysis of longitudinal data as it allows for dependent repeated observations of a categorical variable and for incomplete response profiles. We show how the method can be extended to deal with data from complex surveys and we illustrate it on data from the Swiss Labour Force Survey. The effect of the sampling weights on the parameter estimates and their standard errors is considered.

    Release date: 1999-10-22
  • 27. Parameter estimation for a finite mixture of distributions for dichotomous longitudinal data: Comparing algorithms Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015037
    Description:

    For longitudinal data, mixed models are often used, since they allow analysts to take account of the correlation between different observations from the same individual. The finite mixture model may be considered as a special case of a mixed model. In this document, attention will be given to the maximum likelihood method. The maximization of the likelihood function for a finite mixture of distributions is generally more difficult than in the usual case of a single distribution and can require considerable time. The objective of this project was therefore primarily to identify the one or more algorithms that best meet the criteria of run time and of efficiency in finding the solution. To achieve this objective, a simulation study was carried out. Only the situation in which the dependent variable is dichotomous was considered. This situation is very useful in practice, since among other things it can be used to model discrete durations, such as the length of time in "low income" status.

    Release date: 1999-10-22
  • 28. National Longitudinal Survey of Children: Survey Instruments Archived
    Surveys and statistical programs – Documentation: 89F0077X
    Description:

    The National Longitudinal Survey of Children (NLSC) is the first Canada-wide survey of children. Starting in 1994, it will gather information on a sample of children and their life experiences. It will follow these children over time, collecting information on the children and their families, education, health, development, behaviour, friends, activities, etc.

    Release date: 1999-10-22
  • 29. SLID Questionnaire for Demographics and Contacts: 1999 Archived
    Surveys and statistical programs – Documentation: 75F0002M1999003
    Description:

    This document presents the questions, responses and interview flow for the Contact and Demographic portions of the Survey of Labour and Income Dynamics (SLID) interviews.

    Release date: 1999-09-27
  • 30. 1999 Preliminary Interview Questionnaire Archived
    Surveys and statistical programs – Documentation: 75F0002M1999004
    Description:

    This paper presents the questions, possible responses and question flows for the 1999 Survey of Labour and Income Dynamics (SLID) preliminary questionnaire.

    Release date: 1999-09-27
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Reference (44)

Reference (44) (0 to 10 of 44 results)

  • 1. Coverage (Reference Products: Technical Reports: 1996 Census of Population) Archived
    Surveys and statistical programs – Documentation: 92-370-X
    Description:

    Series description

    This series includes five general reference products - the Preview of Products and Services; the Catalogue; the Dictionary; the Handbook and the Technical Reports - as well as geography reference products - GeoSuite and Reference Maps.

    Product description

    Technical Reports examine the quality of data from the 1996 Census, a large and complex undertaking. While considerable effort was taken to ensure high quality standards throughout each step, the results are subject to a certain degree of error. Each report looks at the collection and processing operations and presents results from data evaluation, as well as notes on historical comparability.

    Technical Reports are aimed at moderate and sophisticated users but are written in a manner which could make them useful to all census data users. Most of the technical reports have been cancelled, with the exception of Age, Sex, Marital Status and Common-law Status, Coverage and Sampling and Weighting. These reports will be available as bilingual publications as well as being available in both official languages on the Internet as free products.

    This report deals with coverage errors, which occured when persons, households, dwellings or families were missed by the 1996 Census or enumerated in error. Coverage errors are one of the most important types of error since they affect not only the accuracy of the counts of the various census universes but also the accuracy of all of the census data describing the characteristics of these universes. With this information, users can determine the risks involved in basing conclusions or decisions on census data.

    Release date: 1999-12-14
  • 2. Sampling and Weighting (Reference Products: Technical Reports: 1996 Census of Population) Archived
    Surveys and statistical programs – Documentation: 92-371-X
    Description:

    This report deals with sampling and weighting, a process whereby certain characteristics are collected and processed for a random sample of dwellings and persons identified in the complete census enumeration. Data for the whole population are then obtained by scaling up the results for the sample to the full population level. The use of sampling may lead to substantial reductions in costs and respondent burden, or alternatively, can allow the scope of a census to be broadened at the same cost.

    Release date: 1999-12-07
  • 3. 1996 Census Dictionary - Final Edition Archived
    Surveys and statistical programs – Documentation: 92-351-U
    Description:

    Series Description:

    This series includes five general reference products - the Preview of Products and Services; the Catalogue; the Dictionary; the Handbook and Technical Reports - as well as two geography reference products - GeoSuite and Reference Maps.

    Product Description:

    The 1996 Census Dictionary provides detailed information on all of the concepts, variables and geographic elements of the 1996 Census. Information provided for each variable includes a definition, the associated census questions, applicable response categories or classifications and special remarks, namely on historical aspects. Users should make use of this edition of the 1996 Census Dictionary for the most up-to-date information. This final edition is also available on our web site as a free downloadable product.

    Release date: 1999-10-25
  • 4. Cycle 2 and beyond: Preparing and storing longitudinal data of the National Population Health Survey Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015007
    Description:

    The National Population Health Survey (NPHS) is a family of surveys with multiple objectives, one of which is to provide information on a panel of people who will be followed over time to reflect the dynamic process of health and illness. Data for the first cycle of the NPHS - Households Survey were collected from June 1994 to June 1995, and were released in September 1995. Data for the second cycle were collected from June 1996 to August 1997. One of the primary outputs for the second cycle is a longitudinal master file. This paper will describe six major strategies that were developed to process the longitudinal master file.

    Release date: 1999-10-22
  • 5. Recent development of software to analyse longitudinal studies: Examples from the Office for National Statistics Longitudinal Study Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015015
    Description:

    In epidemiology analysis of longitudinal data is commonly accepted as providing the most robust measures of association between putative risk and selected outcomes such as death or cancer. SMARTIE is a SAS application for efficient analysis of longitudinal data. Based on person days at risk, it can handle multiple exits from and re-entries to risk, and derives outcome measures such as survival rates. Standardised Mortality Ratios (SMRs) and Cancer Incidence Ratios (SIRs). Summary data can be produced in a format easily ported to any modelling package such as Stats 5.0. We discuss the background to its development, the overall program structure, its command language, and finally we say something about the organization of outputs. Findings from survival studies using the Longitudinal Study of the Office for National Statistics (ONS) are used to demonstrate features of SMARTIE. This study is based on one per cent of the population of England and Wales. It is continually updated with the addition of new members and with information from birth, death and cancer records, and from the census.

    Release date: 1999-10-22
  • 6. Multilevel models for repeated binary outcomes: Attitudes and vote over the electoral cycle Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015016
    Description:

    Models for fitting longitudinal binary responses are explored using a panel study of voting intentions. A standard repeated measures multilevel logistic model is shown inadequate due to the presence of a substantial proportion of respondents who maintain a constant response over time. A multivariate binary response model is shown a better fit to the data.

    Release date: 1999-10-22
  • 7. Random effects models for longitudinal data from complex samples Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015017
    Description:

    Longitudinal studies with repeated observations on individuals permit better characterizations of change and assessment of possible risk factors, but there has been little experience applying sophisticated models for longitudinal data to the complex survey setting. We present results from a comparison of different variance estimation methods for random effects models of change in cognitive function among older adults. The sample design is a stratified sample of people 65 and older, drawn as part of a community-based study designed to examine risk factors for dementia. The model summarizes the population heterogeneity in overall level and rate of change in cognitive function using random effects for intercept and slope. We discuss an unweighted regression including covariates for the stratification variables, a weighted regression, and bootstrapping; we also did preliminary work into using balanced repeated replication and jackknife repeated replication.

    Release date: 1999-10-22
  • 8. Multilevel modeling of complex data structures with multiple unit membership and missing unit identifications Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015018
    Description:

    This paper presents a method for handling longitudinal data in which individuals belong to more than one unit at a higher level, and also where there is missing information on the identification of the units to which they belong. In education, for example, a student might be classified as belonging sequentially to a particular combination of primary and secondary school, but for some students, the identity of either the primary or secondary school may be unknown. Likewise, in a longitudinal study, students may change school or class from one period to the next, so 'belonging' to more than one higher level unit. The procedures used to model these stuctures are extensions of a random effects cross-classified multilevel model.

    Release date: 1999-10-22
  • 9. Weighting versus modeling in adjusting for non-response in the British Labour Force Survey: An application to gross flows estimation Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015019
    Description:

    The British Labour Force Survey (LFS) is a quarterly household survey with a rotating sample design that can potentially be used to produce longitudinal data, including estimates of labour force gross flows. However, these estimates may be biased due to the effect of non-response. Weighting adjustments are a commonly used method to account for non-response bias. We find that weighting may not fully account for the effect of non-response bias because non-response may depend on the unobserved labour force flows, i.e., the non-response is non-ignorable. To adjust for the effects of non-ignorable non-response, we propose a model for the complex non-response patterns in the LFS which controls for the correlated within-household non-response behaviour found in the survey. The results of modelling suggest that non-response may be non-ignorable in the LFS, causing the weighting estimates to be biased.

    Release date: 1999-10-22
  • 10. Calculation of weights for the European panel of households: A comparison of some indicators based on variables selected to correct for homogenous categorical non-response Archived
    Surveys and statistical programs – Documentation: 11-522-X19980015020
    Description:

    At the end of 1993, Eurostat lauched a 'community' panel of households. The first wave, carried out in 1994 in the 12 countries of the European Union, included some 7,300 households in France, and at least 14,000 adults 17 years or over. Each individual was then followed up and interviewed each year, even if they had moved. The individuals leaving the sample present a particular profile. In the first part, we present a sketch of how our sample evolves and an analysis of the main characteristics of the non-respondents. We then propose 2 models to correct for non-response per homogeneous category. We then describe the longitudinal weight distribution obtained from the two models, and the cross-sectional weights using the weight share method. Finally, we compare some indicators calculated using both weighting methods.

    Release date: 1999-10-22
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