Examples of using Longitudinal data in English and their translations into Russian
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Need for longitudinal data.
Longitudinal data are challenging to collect and manage.
First, we will briefly review popular approaches to modelling longitudinal data.
Longitudinal data is also very useful for research purposes.
Analysis of business data longitudinal data and data from ad hoc surveys.
Longitudinal data available for statistics and research purposes.
Latent Curve Models(LCMs)are an increasingly popular approach to analyze longitudinal data.
Longitudinal data presented confidentiality problems that remain largely unsolved.
The second day was devoted to growth models for longitudinal data and to three-level and cross-classified models.
Longitudinal data were necessary to understand and explain possible causalities in respect of youth and exclusion.
Also, I will be able to use multilevel models for longitudinal data and nonlinear multilevel regressions in my research.
In flow statistics, data on the same individual is chained together for consecutive time periods longitudinal data.
Indicators of change based on longitudinal data could be increasingly used in descriptive statistical publications.
Other types of data might include continuous variables, longitudinal data or composite data sets.
Longitudinal data prove more difficult to disseminate, since the addition of information over time makes it easier to identify respondents.
Some examples of longitudinal surveys are provided, as well as potential research areas for which longitudinal data are well suited.
Compiling such information is a major undertaking,as it requires longitudinal data bases where individual units(firms or establishments) can be traced over time.
It also trained researchers from developing countries to deal with aspects of health expectancy using cross-sectional and longitudinal data.
The presenter also stressed the importance of having cross-nationally comparable longitudinal data in order to analyse gender inequalities over the life course.
Longitudinal data grasp the dynamic character of the ageing process; allow measuring change over time, reactions to changes in the institutional environment and to specific policies.
Then we will show how toapply the structural equation modelling(SEM) approach to longitudinal data using Mplus and its new graphic device.
In a later study on a smaller cohort with longitudinal data, the investigators concluded that high-load amyloid areas are a preferential site for development of incidental lobar hemorrhages 25.
The study will serve as an independent monitoring platform for the Madrid Plan of Action, as it will provide comparable andvalid cross-national longitudinal data on several objectives of the Plan in multiple countries.
Another type of data, panel data(or longitudinal data), combines both cross-sectional and time series data ideas and looks at how the subjects(firms, individuals, etc.) change over time.
The aim of the campaign is to provide states with a framework and resources for establishing andusing robust student-level longitudinal data systems, and to promote discourse and coordination of statistical activities within and between states.
Longitudinal data have been collected from birth to eight years for children born in 2002, and there are plans to collect the data for those born in 2004 and also to collect data from the same children when they are 13 years old.
It also had national focal points on ageing, and monitored progress through its Working Group on Ageing,including tools such as the Active Ageing Index and longitudinal data of the Generations and Gender Programme.
The conducted studies confirmed prospectiveness of the use of longitudinal data models and vector auto-regression models, including error correction models when conducting stress testing at the level of the branch and an individual enterprise.
The in-depth review paper highlighted issues and challenges in the production and dissemination of data by age, the dispersion of ageing-related statistics,data gaps on important issues related to ageing as well as the need for subjective measures and longitudinal data.
It provides cross-sectional data on income, poverty, social exclusion andother living conditions as well as longitudinal data pertaining to individual-level changes over time, observed typically over a four-year period.