Sentences with phrase «factor analysis across»
«A «failure of diversification» during the global financial crisis has prompted wider use of factor analysis across portfolios and reduced reliance on simplistic asset allocation measures.
https://www.franklintempleton.com/ Not exact matches
Their analysis involves (1) estimating the factor characteristics of each stock in a broad index; (2) aggregating the characteristics across all stocks in the index; and (3) matching aggregated characteristics to a mimicking portfolio of five indexes representing value, size, quality, momentum and low volatility styles, adjusted for estimated expense ratios.
We defined OL as delayed if it occurred after 72 h and used chi - square analysis to examine its association with potential risk factors across 6 dimensions: 1) prenatal characteristics, 2) maternal anthropometric characteristics, 3) labor and delivery experience, 4) newborn characteristics, 5) maternal postpartum factors, and 6) infant feeding variables.
Professor Cyrus Cooper, Professor of Rheumatology and Director of the MRC Lifecourse Epidemiology Unit, University of Southampton, added: «This study forms part of a larger programme of work addressing risk factors for fracture across the lifecourse, and demonstrates the importance of the University of Southampton and MRC Lifecourse Epidemiology Unit in leading large, UK wide analyses on the internationally leading UK Clinical Practice Research Datalink dataset.
Dr Larkin said: «Results from our large analysis of pre-defined sub-groups of patients with advanced melanoma provide evidence that suggests the combination of the two drugs consistently improves progression - free survival across a range of sub-groups, including patients with poor prognostic factors, when compared with either nivolumab or ipilimumab alone.»
Summary estimates were calculated using a general variance - based method (random - effects model) with 95 % CIs.19 Because the potential confounders considered in multivariate analyses vary across studies, we used the parameter estimates in the most complex model, which typically include demographic, lifestyle, and dietary factors.
This meta - analysis of studies of high - quality afterschool programs across the country illustrates the academic, behavioral, and other gains for students and their families and explains the factors that advance their success.
Some analyses involving school factors were based on the school - level scores (e.g., school - level ratings, composite school effectiveness scores that had been summed across grade level) for each of the 14 schools.
Beam offers historical background and keen analysis of the factors shaping foster - care policies in this moving look at a system charged with caring for nearly half a million children across the U.S.
Borrowers in red and blue states have different experiences with student debt.It's easy to pinpoint the factors that cause people to default on their student loans.Read Forbes» in - depth analysis: Student Debt Loans And Defaults Differ... [Read more...] about Student Debt Loans and Defaults Varies Across America
We can use factor analysis to identify the 2 primary axes that maximize the variance across these game titles.
The factor analysis packed a lot into our axes, but in surfacing these two underlying spectrums in the Open World genre, it is essentially letting us see how these games vary across 9 motivations all at the same time.
Considering these factors, it is very difficult to create a national gridded temperature analysis that is comparable across the colonial and post-federation periods.
The statistical analyses (Table FE3) indicated that: (1) there are statistically significant differences in carbon dioxide emission factors across both coal rank and State of origin; (2) coal rank and State of origin each explain approximately 80 percent of the variation in carbon dioxide emission factors; and (3) State of origin combined with coal rank is a slightly more powerful explanatory variable than either coal rank or State of origin alone.
Meta - analysis reviews show across studies that a low - carbohydrate diet improves markers of cardiovascular and type 2 diabetes risk factors.
A confirmatory factor analysis was run to examine if the anticipated factor structure of the items was retained across the larger pool of items and constructs, and across the wider age span of children.
Studies need to employ multi-group confirmatory factor analyses and differential item functioning to test whether measurement models are equivalent across subgroups (e.g., gender) and whether individual items or scales are biased against certain subgroups.
In conclusion, Exploratory Factor Analyses from data in Study 1 indicated support for five factors: social consequences; to include concerns regarding how parents, friends, classmates and teachers may view test performance; item types; to include items related to anxiety across item formats; and temporal aspects of anxiety; that is how stress is felt before, during, and after an exam.
Path analysis revealed that after controlling for clustering and all factors restricted to being equal across the time points, programme fidelity had a significant impact on the Emotional Literacy subscale scores at post-intervention: self - awareness: -LSB-(Estimate = 0.025, SE = 0.006, C.R. = 4.38, P < 0.001), Std Eff = 0.087]; self - regulation: -LSB-(Estimate = 0.024, SE = 0.006, C.R. = 4.04, P < 0.001), Std Eff = 0.08]; motivation: -LSB-(Estimate = 0.022, SE = 0.006, C.R. = 3.73, P < 0.001), Std Eff = 0.075] and social skills -LSB-(Estimate = 0.022, SE = 0.005, C.R. = 4.02, P < 0.001), Std Eff = 0.081].
Multiple group confirmatory factor analyses were performed in order to elucidate MI across a variety of occupational groups.
The Sequencing in Child Well - Being study is a meta - analysis of longitudinal studies from across the globe that compare the influence of one child well - being factor on another.
Application of confirmatory factor analysis to the study of self - concept: First and higher order factor models and their invariance across groups
Group - based trajectory modeling analyses conditional on risk and protective factors identified four trajectories of depressive symptoms across adolescence: moderate stable (MS; 54.57 % of the sample), low stable (LS; 27.16 %), moderate increasing (MI; 11.30 %), and high declining (HD; 6.97 %).
Sequential multi-group analyses established the full scalar invariance, as factor loadings and factor intercepts were invariant across the male and female groups.
Factorial invariance analyses tested whether item - factor loadings and threshold values differed significantly across time.
Multigroup analysis provided evidence of factor invariance across gender.
Office market analysis needs to identify and examine the exogenous factors that determine variations in the normal vacancy rate and implicit equilibrium rent across local markets and through time, especially when analyzing several office markets for comparison and investment purposes.
Office market analysis aiming at guiding property investors wishing to invest nationally, should also examine the exogenous factors that determine cross-sectional differences in equilibrium office rents across metropolitan markets.