Examples of using Longitudinal data in English and their translations into Hungarian
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This type of data are called intensive longitudinal data.
Naturally, longitudinal data are very important for studying change.
This type of duration analysis is only possible with longitudinal data. .
The research uses longitudinal data from the English Longitudinal Study of Ageing.
Social scientists call this kind of over-time data, longitudinal data.
Together these two surveys provide detailed, longitudinal data about the lives of these ex-offenders.
Social scientists call this kind of over-time data longitudinal data.
Core biostatistics courses are Longitudinal Data Analysis, Survival Analysis, and Clinical Trials.
The paper makes reference to the new opportunitiescreated by the emergence of big databases containing large quantities of micro level, longitudinal data. .
How can longitudinal data, historical experience and observation help us understand current political processes?
This always-on characteristic provides researchers with longitudinal data(i.e., data over time).
We use longitudinal data from four waves of the Hungarian Generations and Gender Survey(2001- 2012).
An ongoing,branded MROC can be effectively used to collect longitudinal data that requires a continuous stream of data. .
Longitudinal data is also required to establish the lifetime implications of new forms of work, and their impact on sustainability of work over the life course1.
Most research efforts suffer from a lack of internationally comparative data, longitudinal data, and ill-concerted research methods.
Longitudinal data suggests that the three different personality types evident in infancy easy, slow-to-warm-up, and difficult tend to change as children mature.
A fascinating new paper by Gordon andcolleagues reports the first longitudinal data on oxytocin levels during the initiation of parenting in humans.
The cross-sectional and longitudinal data can come from separate sources, i.e., the longitudinal dataset does not need to be“linkable” with the cross-sectional dataset at the micro-level.
Medical cannabis administration is associated with improved cognitive performance andlower levels of prescription drug use, according to longitudinal data published online in the journal Frontiers in Pharmacology.
Using individual-level and longitudinal data of family reconstitution studies and applying the method of event-history analysis researchers study how socio-economic, religious and other factors influenced demographic development during the transition.
The occasional use of cannabis during late adolescence is not independently associated with adverseeffects on cognitive abilities in young adulthood, according to longitudinal data published in the journal Drug and Alcohol Dependence.
Longitudinal data is also needed to establish the lifetime implications of new forms of work, and their impact on sustainability of work over the life course and to identify the extent to which they are gendered or related to other demographic variables(such as age, disability, ethnicity and migrant status).
By way of derogation from paragraph 1, Czech Republic, Germany, Cyprus, Latvia, Lithuania, Hungary, Malta, Netherlands, Poland, Slovenia,Slovakia and United Kingdom may start the annual cross-sectional and longitudinal data collection in 2005.
Regulation(EC) No 1177/2003 established a common framework for the systematic production of European statistics on income and living conditions,in order to ensure that comparable and up-to-date cross-sectional and longitudinal data on income and on the level and composition of poverty and social exclusion are available at national and Union level.
Regulation(EC) No 1177/2003 of the European Parliament and of the Council of 16 June 2003 concerning Community statistics on income and living conditions(EU‑SILC)3 establishes a common framework for the systematic production of Community statistics on income and living conditions encompassing comparable andtimely cross-sectional and longitudinal data on income and on the level and composition of poverty and social exclusion at national and European levels.
Complex databases are data collections that are multidimensional in geographicspace and/or time(e.g. international comparisons or longitudinal analyses, or data sets made up of more than one database).
Each patient's annually scheduled visit formedical purposes is recorded providing longitudinal observational data.
Understanding the interrelationships between these three factors requires longitudinal network data combined with information about individuals' demographics and activities.
The study combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood.