Sentences with phrase «longitudinal analysis over»

Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study.
Dynamic spread of happiness in a large social network: Longitudinal analysis over 20 years in the Framingham Heart Study.

Not exact matches

This analysis of longitudinal growth data from > 2000 children in the Gemini twin cohort has demonstrated that higher protein intake at 21 mo is associated with higher weight gain and higher BMI (but not height) between 21 and 36 mo and 21 and 60 mo, with no evidence of diminution over time.
Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.
The strongest research methods for psychological studies are: qualitative findings versus quantitative; experimental rather than descriptive or correlational; controlled - experiment, meta - analysis, and observation designs over archival, case study, computational modeling, content analysis, field experiment, interview, neuroimaging, quasi experiment, self - report inventory, random sample survey, or twin study; and prospective (where subjects are recruited prior to the proposed independent effects being administered) and longitudinal (where subjects are studied at multiple time points) rather than retrospective or cross-section study.
The supply has actually remained steady over the past 30 years, the researchers conclude from an analysis of six longitudinal surveys conducted by the U.S. government from 1972 to 2005.
Further, we introduced computational methods using information theoretic measures and statistical longitudinal analysis techniques that allowed us to identify and localize significant selection of donor genes over time.
Analysis of this data revealed a set of candidate biomarkers which were then tested against over 150 longitudinal samples from an SMA natural history study by the Pediatric Neuromuscular Clinical Research Network.
With generous funding from the Laura and John Arnold Foundation, we are in the process of conducting a longitudinal analysis of several nudge experiments we have conducted over the last several years, to investigate whether these interventions have positively affected persistence and completion in addition to enrollment.
Cross-sectional analyses which do not follow borrowers over time, as well as longitudinal analyses that track graduates from distant cohorts and / or rely upon self - reported debt amounts (which are known to be underreported [vii] and generally inaccurate [viii]-RRB-, can lead to dramatic understatements of racial disparities in student loan debt.
This is why, in our modeling efforts, we do massive multivariate, longitudinal analyses in order to exploit the covariance structure of student data over grades and subjects to dampen the errors of measurement in individual student test scores.
Repeated measures of both teachers and students are planned over a three - year period, with annual analysis making use of latent variable measurement models and accounting for the multilevel and longitudinal structure of the data.
[16] Mainly, he implied the failures of the study stem from its narrow analysis, which is of only one of the three charters and the lack of a longitudinal track of student growth over time.
Thus, their analysis was both cross-sectional (i.e., comparing non-cohabiting daters with cohabiting daters at the same time) and longitudinal (i.e., looking at changes over time in the non-cohabiting daters from before to after they do cohabit).
Logistic regression analyses were used to evaluate the relationship between childhood adversities and new onset of suicidal ideation and attempts over 3 years of longitudinal follow - up.
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.
In an integrative data analysis, we combined observations over ages 2 through 17 from two longitudinal studies of children of alcoholic parents and matched controls recruited from the community.
In longitudinal analyses, higher marital adjustment at T1 significantly predicted increases in observer report of maternal behavioral control within the SB group over time, a finding contrary to prediction (coefficient = − 0.10, t = − 2.24, p <.05).
Finally, longitudinal analyses revealed that higher levels of parenting stress at T1 predicted less adaptive parenting changes over time among fathers in the SB group.
Personality change over 40 years of adulthood: Hierarchical linear modeling analyses of two longitudinal samples
Our study also has key strengths: 1) analyses were based on a community sample and we were able to estimate the burden of behavioural problems associated with food insecurity among children in the general population, while most prior studies focused on high - risk families; 2) longitudinal follow - up of children's mental health allowed us to distinguish different types of symptoms and their developmental patterns over up to 7 years of follow - up; 3) statistical adjustment for multiple individual and family factors potentially associated with children's outcomes.
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