GUS data do not tell us where there is a PRR in place.
GUS data suggests that 78 % of children with a non-resident parent had a birth certificate with both parents» names on it.
At each sweep of
GUS data collection, information was collected from the main carer (usually the child's mother) on whether the child experienced any disturbing family events from a pre-determined list since the previous sweep.
Appendix 2 presents a detailed description of all factors and explains how they were measured using
the GUS data.
As can be seen from the discussion in section 3.4 below, and from Figure 3â $ «A, this range is reflected in
the GUS data.
This study uses the breadth of
GUS data to look across not just several significant events, but also multiple family outcomes for each event.
It is pertinent, therefore, to examine patterns of shared difficulties in
the GUS data.
The lower figure in
the GUS data therefore suggests that a reasonable proportion of mothers are not aware of tooth decay in their children.
Below we explain how each is measured using
the GUS data.
The analysis of associations between parenting and health outcomes controlled for other important family influences on poor health, including low income and maternal mental health that have been widely found in other research including other investigations using
GUS data.
Secondly,
GUS data is obtained from the child's main carer, usually the child's natural mother.
Previous analysis of
GUS data found that lower levels of household income and greater area deprivation were both associated with a lower activity score for children who were almost 3 years old, although this score included time spent watching television and playing on computers in the activity measure, along with various active behaviours such as running, jumping and ball play (Marryat et al. 2009).
After the completion of current and future data collection, such analysis will be possible using
GUS data.
As such our detector plants are approximately 100-fold better (
GUS data) or equivalent (de-greening response) to the detection abilities of dogs.
Not exact matches
The complete circuit (right most columns) shows
data from t - tests (one - tailed paired t - test; n = 29; mean
GUS activity with ligand = 7.88 (std.
GUS «Accept» loans that have adverse credit accounts selected as «omit» by the underwriter do not require a documented credit waiver to be submitted to RD. Lenders are responsible to retain documentation provided by the applicant to support their
data entries in
GUS.
GUS is an important
data source in studying this area because it collects information on the same children over time.
We make good use of the longitudinal element of
GUS, using
data from all five years (2005/06 to 2009/10) to identify an event that children have experienced during the first years of childhood (research question 1).
This report uses
data from the Growing Up in Scotland study (
GUS) to present a detailed exploration of children's social, emotional and behavioural development during the early years of their lives up to their entry to primary school.
This study uses
data from the first
GUS birth cohort, a nationally representative sample of families with children born between June 2004 and May 2005.
This paper describes an analysis of the Growing Up in Scotland (
GUS) longitudinal
data - set over four sweeps, to explore the impacts of maternal mental health 1 on their children at ages 3 - 4.
The study uses
data from the Growing Up in Scotland study (
GUS).
The percentage with moderate or severe difficulties is comparable to that found in earlier analysis of
data from the slightly older child cohort in
GUS (Bradshaw, 2010).
This study uses five years of Growing Up in Scotland (
GUS)
data to investigate four significant events in early childhood:
This paper is based on
data from natural mothers interviewed at the time of the first sweep of
GUS undertaken in 2005/2006 when their baby was aged 10 months old and subsequently re-interviewed annually on three further occasions, until their children were almost four years old.
Unfortunately,
GUS has not collected information on children's relationships with non-resident fathers at the age 10 interview, although this is planned for the next round of
data collection when children are in their first year of secondary school.
Using longitudinal
data over four sweeps of the Growing Up in Scotland (
GUS) study, this report explores the impacts of poor maternal mental health on children's emotional, cognitive and behavioural development and on their relationships with peers at ages three to four.
The analysis draws on earlier sweeps of
GUS BC1
data from sweep 1 (child aged 10 months) to sweep 7 (child aged 8), as well as a «between sweep» web and telephone survey conducted when children were 9 years old.
As the
GUS cohort is spread across two school year groups, at the point of sweep 4
data collection around one third of the cohort had started their first term in primary two.
GUS represents a key source of
data on the extent of these inequalities amongst children in Scotland but further, and importantly, is uniquely placed to examine the impact of exposure to risk factors on later outcomes.