Not exact matches
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 aim of our study was to
explore whether the initial preferred place of birth at the onset of pregnancy and
model of care are associated with
differences in the course of pregnancy and intrapartum interventions and birth outcomes.
Several
models offer adjustable handlebars, so make sure you
explore this feature if you or anyone that you plan on sharing the stroller with is below or above average height or if there's a considerable height
difference.
We basically have an entire zoo of neurons in a dish now, so with these
models we can begin to look at underlying mechanisms that may be different between neurons of different species, and
explore what is the basis of these
differences between species.
More specifically, the researchers 1) examine possible
differences by classroom, school, and literacy
models; 2)
explore the relationship between observable features of the classroom literacy environment and children's literacy growth during the first grade year; 3) characterize the variability in the levels of teacher understanding of the chosen literacy
model and of early literacy development; and 4) assess whether there are qualitative
differences in children's oral discourse skills and writing skills with the school's chosen
model of literacy instruction.
Differentiation: purple = lower ability blue = middle ability yellow = higher ability Resources prepare students for answering Q3 (language) and Q4 (comparison) and cover the following: - analysis of vocabulary - analysis of sentence forms - analysis of language techniques -
explore audience and purpose - study of
model answers -
exploring the effect of language - improving exam responses using mark schemes -
explore perspective - understand the
difference between synthesis and comparison - form comparisons between texts - practice timed responses Regular assessments are included to assess students ability in true or false and synthesis tasks.
This entry
explores the amount of
difference choice of
model makes.
INCLUDES 1 Hands - On Standards Math Teacher Resource Guide Grade 3 with 40 lessons TOPICS Operations and Algebraic Thinking Multiplying with arrays Multiplying by five
Exploring multiplication and division Commutative property of multiplication Associative property of addition Distributive property Number and Operations in Base Ten Estimating the sum or difference Adding and subtracting Multiply by ten Multiplying with multiples of ten Number and Operations - Fractions Identify and write fractions Fractions and equivalent fractions on a number line Proper fractions on a number line Model equivalent fractions Whole numbers as fractions Comparing fractions Measurement and Data Telling time and elapsed time Add intervals of time Finding times after and before Measure weight Pictographs and bar graphs Finding area of squares, rectangles, and irregular figures Building and exploring perimeter Geometry Categorizing and partitioning shapes Resources Building Perimeter Samp
Exploring multiplication and division Commutative property of multiplication Associative property of addition Distributive property Number and Operations in Base Ten Estimating the sum or
difference Adding and subtracting Multiply by ten Multiplying with multiples of ten Number and Operations - Fractions Identify and write fractions Fractions and equivalent fractions on a number line Proper fractions on a number line
Model equivalent fractions Whole numbers as fractions Comparing fractions Measurement and Data Telling time and elapsed time Add intervals of time Finding times after and before Measure weight Pictographs and bar graphs Finding area of squares, rectangles, and irregular figures Building and
exploring perimeter Geometry Categorizing and partitioning shapes Resources Building Perimeter Samp
exploring perimeter Geometry Categorizing and partitioning shapes Resources Building Perimeter Sample Lesson
If you're looking for a WRX for sale in Stamford, CT, we invite you to
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difference for yourself.
There is a very small
difference between cutscenes and gameplay, the character
models all look excellent, and the environments are great to
explore.
http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0628.1 In our discussion
exploring the (very minor)
differences in results when using different datasets we said: - «Dataset creation approaches that infill missing data areas may give overconfidence to climate changes in regions where there are no direct measurements, when compared with
model simulations that have data in those regions.»
The authors also
explore some potential explanations for the
differences between the
models and observations.
Where
modelled consequences clearly don't match observations the
differences can be used to
explore what's missing or not quite right — perhaps the
modelled elevation of land in certain areas is not quite right, causing a
difference in the flow of wind currents, or maybe the grid resolution of the
model is too coarse for certain features to properly resolve.
The regional effects of unexplained factors suggest that the next generation of ecosystem
models will need to
explore the impacts of forest demography,
differences in regional management intensities for cropland and pastures, and other emerging productivity constraints such as phosphorus availability.
For the measures with wider deviations, many factors contribute to
differences between the AEO Reference case projections and realized outcomes, but two primary contributors are the initial projections of future oil prices and overall economic activity that are used in NEMS.5 These projections can greatly influence the other projections made by the
model, which is why each recent AEO includes alternative cases
exploring differences in economic growth (Low and High Economic Growth cases) and in oil prices (Low and High Oil Price cases).
We
explored this issue further by estimating additional multilevel
models examining the
difference between G1 and G2 reports (G1 − G2) as predictors of target (G2) reports and offspring (G3) reports.
TY - JOUR AU - Lee, Eunju AU - 정익중 TI - Predictors of Deviant Self - Concept in Adolescence and Gender
Differences: Applying a Latent - State Trait Autoregressive
Model T2 - Korean Journal of Social Welfare Studies PY - 2012 VL - 43 IS - 1 PB - Korean Association For Social Welfare Studies SP - 5 - 29 SN - 1598 - 3854 AB - The present study was to
explore what makes adolescents think of themselves as troublemakers even without conduct problems.
Because (1) the evaluative cognitions that group members hold in relation to teamwork are important drivers of task engagement and ultimately group performance [5] and (2) personality is one of the most
explored predictors of work related attitudes and behaviors [6]; [7] it becomes important to identify individual
differences (in particular personality traits) that influence the development and change of these individual mental
models.