We next examined the contributions
of all predictor variables in distinguishing group memberships for child social skills trajectories.
Not exact matches
It concluded that negative intermeeting stock market returns are a stronger
predictor of subsequent target changes
in the Fed funds rate than any commonly followed macroeconomic
variable.
Andrew M. Greeley, «Religious Imagery as a
Predictor Variable in the General Social Survey,» paper presented at a plenary session
of the Society for the Scientific Study
of Religion, Chicago, 1984.
However,
in malnourished populations motor development may be a useful
predictor of subsequent human function.5 A study conducted
in Denmark6 found a positive relationship between breastfeeding duration and an earlier ability to crawl and perform the «pincer grip» after adjusting for potential confounding
variables.
She did, «finding that «beta weights» are the coefficients
of the «
predictors»
in a regression equation used to find statistical correlations between
variables.
A common goal for a statistical research project is to investigate causality, and
in particular to draw a conclusion on the effect
of changes
in the values
of predictors or independent
variables on response or dependent
variables.
The results, published
in the «Journal
of Child and Family Studies», show that these two
variables in foster carers are important
predictors of children's problems within the family.
In place of reporting probit coefficients, we report the marginal effect of the variable on the award probability, which is the change in the award probability due to each predictor separately, with other variables evaluated at their mean value
In place
of reporting probit coefficients, we report the marginal effect
of the
variable on the award probability, which is the change
in the award probability due to each predictor separately, with other variables evaluated at their mean value
in the award probability due to each
predictor separately, with other
variables evaluated at their mean values.
«
In our last paper, we showed that significant
variables may not necessarily be predictive, and that good
predictors may not appear statistically significant,» said principal investigator Shaw - Hwa Lo, a professor
of statistics at Columbia University.
To account for demographic differences that might impact social network structure, our model also included binary
predictor variables indicating whether subjects
in each dyad were
of the same or different nationalities, ethnicities, and genders, as well as a
variable indicating the age difference between members
of each dyad.
In BC17's case, the simulated aspects
of the recent past (the «
predictor variables») involve spatial fields
of top -
of - the - atmosphere (TOA) radiative fluxes.
In both China Study I and II, wheat is the strongest positive
predictor of body weight (r = 0.65, p < 0.001) out
of any diet
variable.
In their analysis, NORC researchers Nick Rabkin and Eric Hedberg test and ultimately confirm the validity of an assumption made with prior SPPA data, that participation in arts lessons and classes is the most significant predictor of arts participation later in life, even after controlling for other variable
In their analysis, NORC researchers Nick Rabkin and Eric Hedberg test and ultimately confirm the validity
of an assumption made with prior SPPA data, that participation
in arts lessons and classes is the most significant predictor of arts participation later in life, even after controlling for other variable
in arts lessons and classes is the most significant
predictor of arts participation later
in life, even after controlling for other variable
in life, even after controlling for other
variables.
Let denote outcome h for classroom j
in school i. Let denote a vector
of predictor variables such as class size, years
of teacher experience, and an average
of test scores from a previous year for members
of the classroom.
Instead, we used the ratings assigned to teachers on a joint (effective teaching and culturally responsive pedagogy) teacher accomplishment scale to classify teachers into three levels
of accomplishment (most, moderately, and least); these levels were used as
predictor variables to explain variations
in the instructional practices used by teachers (Table 15).
There is good evidence, too, that the ability to reason scientifically — by testing hypotheses through well - controlled experiments — is a strong
predictor of later success
in the sciences and that this skill can be developed through programmes that allow pupils to design experiments that require them to control
variables.
Predictors of grade 2 word reading and vocabulary from grade 1
variables in Spanish - speaking children: Similarities and differences
In addition, studies show that a student's ability to understand fractions in fifth grade is also a predictor of long - term math achievement in high school, even after controlling for IQ, reading ability, and other variable
In addition, studies show that a student's ability to understand fractions
in fifth grade is also a predictor of long - term math achievement in high school, even after controlling for IQ, reading ability, and other variable
in fifth grade is also a
predictor of long - term math achievement
in high school, even after controlling for IQ, reading ability, and other variable
in high school, even after controlling for IQ, reading ability, and other
variables.
If one is to look at Table 20, one would see that
in the worst model (adjusted ELA Common Core) the
predictor variables together only explain 45 %
of student ELA Common Core test scores.
In other words, this particular prediction model can not account for 26 % of the cause of current ELA 8th grade scores, «all other things considered» (i.e., the predictor variables that are so highly correlated with test scores in the first place
In other words, this particular prediction model can not account for 26 %
of the cause
of current ELA 8th grade scores, «all other things considered» (i.e., the
predictor variables that are so highly correlated with test scores
in the first place
in the first place).
We built a generalized estimating equation (GEE) general linear model (GLM) with outcome as the dependent
variable; time
in the nursing box, licking / grooming per puppy, vertical nursing per puppy, and ventral nursing per puppy were entered as
predictors with breed, maternal parity, sex
of puppy, and age at return entered as covariates.
Looking across the totality
of the evidence, what we see is that the climate
variables tend to be weaker
predictors of security troubles than other factors, like ethnic divisions, failed states, war
in neighboring states that spills over, etc..
In response to Pounds» link to global warming they wrote, «Numerous other
variables, including regional banana and beer production, were better
predictors of these extinctions.
When I apply full standardization to the
predictor variables in the all -
predictors - simultaneously case, the excess over one
of the Prediction ratio halves, to 7.0 %, using 7 PLS components.
In BC17's case, the simulated aspects
of the recent past (the «
predictor variables») involve spatial fields
of top -
of - the - atmosphere (TOA) radiative fluxes.
I tested use
of the OLR seasonal cycle over the 30S — 30N latitude zone only, thereby reducing the number
of predictor variables to 936 — still a large number, but under 4 %
of the 23,976
predictor variables used
in BC17.
List
of the 42 occupied weather stations used as
predictor variables, and four automatic weather stations (AWS)
in West Antarctica.
In terms
of strength
of the relationship between the independent and dependent
variables, perceived consensus was the strongest
predictor of all three types
of global warming views — certainty, causation, and harm / benefit.
In 2003, Michaels and John Christy were among the coauthors of a «Test for harmful collinearity among predictor variables used in modeling global temperature.&raqu
In 2003, Michaels and John Christy were among the coauthors
of a «Test for harmful collinearity among
predictor variables used
in modeling global temperature.&raqu
in modeling global temperature.»
Predictors of Client Engagement and Attrition
in Home - Based Child Maltreatment Prevention Services Damashek, Doughty, Ware, & Silovsky (2010) Child Maltreatment, 16 (1) View Abstract Examines the relative influence
of provider, program, and individual factors from the Integrated Theory
of Parent Involvement as well as maternal and family demographic and risk
variables in predicting service enrollment and completion
in a home - based child maltreatment prevention service (SafeCare +) and a standard community care program (Services as Usual).
This study focuses on one risk factor (daily hassles) and one resistance factor (social support) as
predictors of adjustment
in children with PRDs, with demographics and disease severity as control
variables.
In spite
of significant intercorrelations among some
of the
predictor variables, none
of these correlations approached the level -LRB-.70 or higher) suggestive
of significant problems with multicollinearity (Tabachnick & Fidell, 1996, p. 86).
In Step 1, we conducted one - way analysis
of variance (ANOVA) to determine whether there were site differences on the
predictor and criterion
variables.
We calculated χ2 statistics, t tests, and correlation coefficients to analyze the bivariate associations between each potential
predictor variable (anthropometric and psychosocial family characteristics) and the 2 criteria
of long - term weight change: success versus failure
in weight reduction up to the 12 - month follow - up and weight change between the conclusion
of treatment and the 12 - month follow - up.
To assess the potential effect
of missing data (ie, ignorable vs informative missing data), a pattern - mixture analysis was implemented using 2 - tailed tests.51 We defined patterns using a binary completer status
variable, which was entered as a
predictor in the RRM and MMANOVA.
An intent - to - treat analysis was conducted using univariate analysis
of covariance for continuous
variables and multivariate analysis
of covariance for continuous
variables in which the
predictor variable comprised multiple scales.
SLA - level
predictor variables will include: accessibility (ARIA +), 33 socioeconomic status (using Socio Economic Status for Areas (SEIFA) indexes, four indexes that summarise different aspects
of the socioeconomic conditions
of people living
in an area based upon sets
of social and economic information from the Australian Census35); full - time equivalent GPs; medical workers, nurses, pharmacists, Aboriginal health workers and community services workers per 10 000 population; rates
of unemployment and labour force participation.
Information was collected
in the surveys to date the transitions
in time - varying
variables (eg, respondent's age at birth
of siblings and at parental death or divorce), allowing us to redefine these
variables for each year
of the respondent's life as time - varying
predictors of onset
of suicidality.
explore
predictors of anxiety, depression and unmet needs, including demographic and disease
variables (as previously established
in English - speaking cancer patients) and acculturation
The review
of previous studies results
in investigation
of the
predictor variables of parenting stress, there was consistency
in the results regarding the association between parent gender, age, child age, recently time diagnosis, educational level, monthly income and marital status.
Sex and relationship
variables as
predictors of sexual attraction
in cross-sex platonic friendships between young heterosexual adults.
Second, we sought to determine whether the frequency
of S allele carriers predicts cultural individualism and collectivism by conducting a multiple regression analysis with individualism — collectivism as the criterion
variable and frequency
of S allele carriers, as well as four other economic and health factors previously associated with individualism — collectivism including GDP per capita, inequity
in the distribution
of wealth (Gini index) as well as historical and contemporary pathogen prevalence as
predictor variables (Fincher et al. 2008).
Baseline drinking status (ever vs never tried alcohol) did not predict attrition, but to account for attrition bias related to other
variables, estimation was carried out after multiple imputation using the standard missing at random assumption (ie, missing data are assumed missing at random conditional on observed
predictors included
in the model).27 The imputation model included all the
predictors in the alcohol models plus a number
of auxiliary
variables that were not
of direct theoretical interest but were nonetheless predictive
of missingness so as to improve the quality
of the imputations and make the missing at random assumption more plausible.28
The analyses also included age, race / ethnicity (three binary
variables for Black, Hispanic and other ethnicity, coded with Whites as the reference group), gender, household income and parental education, media - viewing habits — hours watching television on a school day and how often the participant viewed movies together with his / her parents — and receptivity to alcohol marketing (based on whether or not the adolescent owned alcohol - branded merchandise at waves 2 — 4).31 Family
predictors included perceived inhome availability
of alcohol, subject - reported parental alcohol use (assessed at the 16 M survey and assumed to be invariant) and perceptions
of authoritative parenting (α = 0.80).32 Other covariates included school performance, extracurricular participation, number
of friends who used alcohol, weekly spending money, sensation seeking (4 - wave Cronbach's α range = 0.57 — 0.62) 33 and rebelliousness (0.71 — 0.76).34 All survey items are listed
in table S1.
The strongest
predictors of marital quality
in this category were the
variables regarding having children from prior relationships.
For the logit - based analyses and the t tests
of differences
in means, 1 - tailed tests
of significance were conducted (α =.05) because we had an a priori prediction about the direction
of the effect for each
predictor variable.
These 2
variables are classic
predictors of antisocial behavior
in older children and adolescents.15, 45 It is clear from our results that, if they are causal factors, they are having their impact within the first year after birth.
Men's dyadic adjustment, which was a significant
predictor of men's personal commitment
in the regression
of men's
variables on men's personal commitment, was no longer a significant
predictor.
The results
of logistic and multiple regression analyses to evaluate trial entry
variables as
predictors of outcome are shown
in tables III and IV respectively.
The relations between independent
predictor variables (measures
of immunological and psychological function at entry to the trial, age
of onset, and duration
of illness) and dependent dichotomous outcome
variables (self rated global outcome; presence or absence
of caseness on the general health questionnaire at follow up; reduced or normal delayed responses to hypersensitivity skin test) were examined
in separate logistic regression analyses.