Similarly,
background variables such as age predicted letter naming, fine motor skills and problem solving.
After controlling for
background variables such as family status and income, the researchers determined that each hour of lost sleep was associated with a 38 percent increase in the odds of feeling sad and hopeless, a 42 percent increase in considering suicide, a 58 percent increase in suicide attempts and a 23 percent increase in substance abuse.
Not exact matches
In order to figure out why, the researchers ruled out a number of possibilities by controlling for
variables such as family
background and health.
For instance, the family
background variables we used to control for
such differences may have failed to capture more nuanced variations in parental interest in education.
There are a number of reasons: 1) student achievement probably wasn't used as the measure of teacher effectiveness; 2) before the advent of the modern computer, in the mid-1960s, some of the more sophisticated analyses were not feasible; 3) the structure and makeup of schools change, making the findings less applicable to the current situation; 4) most important, older studies may not control for critical
variables,
such as students»
backgrounds or past achievement.
This is not to say that
such variables as neighborhood characteristics have no effect, only that the effect of
such variables is already captured by the handful of social
background characteristics,
such as WIC participation, that we incorporated into our analysis.
However, researchers generally agree that up to two - thirds of the variation in student achievement is explainable by individual student characteristics like family
background and
such variables.
Longitudinal studies and controlled studies — for example, experimental or quasi-experimental studies that seek to eliminate the effect of extraneous
variables such as student
background — could establish causation.
I found that few
variables from a principal's
background had a statistically significant relationship with outcomes
such as student math and reading scores, attendance, and principal retention at the school or district level.
Accordingly, there is much research about how
such survey data can be gamed and manipulated by instructors (e.g., via the use of external incentives / disincentives), can be biased by respondent or student
background variables (e.g., charisma, attractiveness, gender and race as compared to the gender and race of the teacher or instructor, grade expected or earned in the class, overall grade point average, perceived course difficulty or the lack thereof), and the like.
Since the early 70s, there has been recognition that there are specific differences in achievement based on
variables,
such as gender and socio - economic
background, in terms of mathematics performance.
(5 sigmas are so rare that putting them within
such a
variable background as climate that it seems to me to be meaningless.)
As illustrated below, values are least reliable where surface observations are sparse and the
background model forecasts of related
variables such as precipitation are biased.
Premium rates are
variable depending upon various factors
such as, age, diseases, financial
background, type of plan and so on.
Of course there are some
variables such as wifi strength and apps running the
background which may skew certain results, but if you follow best practices, you will be more than satisfied.
There are also indications that they do so in relatively complex ways that interact with family
background and social context
variables such as ethnicity, family structure, maternal employment status, socioeconomic status, and gender (Schiamberg & Chin, 1986; Milne, 1989; Tocci & Englehard, 1991; Zimilies & Lee, 1991; Lee & Croninger, 1994).
Small differences on some
background variables (
such as paternal receipt of public assistance) led us to include them as covariates.
A Socio - demographic questionnaire was designed by the first author to collect socio - demographic
background - information
such as participant's age, gender, education, length of marriage, number of children, spouse's age and education, and some other socio - demographic
variables.