Sentences with phrase «between study variables»

The absence of one common underlying latent factor is also supported by several small to zero correlations between our study variables, both at the within - and the between - person level (see Demerouti et al., 2007 for a similar reasoning).

Descriptive analyses examined the bivariate correlations between the study variables.

We used Chi square to determine the association between the study variables, finding that the dimension «Work demands» did not associated with any occupational stress symptoms.

For the analysis of the association between the study variables, we used Chi Square, proceeding to apply Spearman's Correlation Coefficient in order to determine the directionality of the correlation.

When your research paper confirms that there is no correlation between the studied variables that mean that your paper can help lots of other students and even scientists to keep off the wrong way.

Not exact matches

To help explain the geographic differences between white and Hispanic or Latino homeownership, the special study also examines demographic and socio - economic variables previously shown to be significantly associated with homeownership, such as income, marriage rates, and age.

While there was no effort made in the study to control the particular input of each information variable, it is interesting to note the significant difference between the contribution of the mass media to the information function compared to the attendance function.

In order for a study to look at the differences between the two we need a longitudinal study which specifically compares those who are exclusively breastfed to sleep and through the night with those who are sleep trained and night weaned, leaving out variables which can also affect the results AND have it be peer reviewed.

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.

Although the study does not directly identify a link between this type of variation and current climate change vulnerability, these precipitation - linked variables could be a source of vulnerability in the future, Bay and her colleagues noted.

The other dependent variable of the study, foregone medical care, also showed differences between various groups.

This study highlights the prime importance of determining the causal relationship between biological variables in order to be able to draw reliable conclusions.

In the study, Sheehan said, «we asked, «Are traits such as distance between the eyes or width of the nose variable just by chance, or has there been evolutionary selection to be more variable than they would be otherwise; more distinctive and more unique?»»

The problem of missing variables Janni Niclasen's study looks at the results of a large population study conducted between 1996 and 2002.

Theirs is the first study investigating land - atmosphere interactions to determine both the strength of the predictive mechanism between variables and the time scale over which these links occur.

The study's ultimate product was a mathematical equation or formula that included as variables the length of the fall, the length of rope between the carabiner and climber, the climber's height above the carabiner, the maximum elongation or the rope, the mass of the climber and acceleration due to gravity.

The study also found that cleaning up a brownfields site increased overall property values within a one - mile radius, but by a highly variable amount — between 50 cents and $ 1.5 million.

In a study of relationships between socioeconomic variables and opioid - related drug overdoses, researchers found several correlations that are often not discussed in the current conversation about the nation's deaths of despair, which includes opioid overdoses, said Stephan Goetz, professor of agricultural and regional economics, Penn State and director of the Northeast Regional Center for Rural Development.

Professor Elaine Dennison, Professor of Musculoskeletal Epidemiology and Honorary Consultant in Rheumatology within Medicine at the University of Southampton, noted: «Among the challenges in carrying out this study was the great heterogeneity in the RCTs, including in the exercise protocols and in the dosage of supplementation, all of which contributes to the variable findings between studies.

Relationships between spotted owl populations and climate was complex and variable, but rangewide, the study results suggested that survival of young spotted owls and their ability to become part of the breeding population increased when winters were drier.

More than a dozen studies have found no relationship between the two variables.

«Individual mycobacteria respond differently to antibiotics based on growth and timing: New study identifies differences between subpopulations of mycobacteria with variable antibiotic susceptibilities.»

In addition, the new study is the first to provide information on self - reported aggression of drivers in the Republic of Ireland and is also the first to support the proposed relationship between impulsivity and driving anger with more than correlational analysis, which provides only limited information about the relationships between variables.

Our study examined associations between mtDNA variation and demographic variables such as ME / CFS status, acute onset, and illness duration.

There are numerous differences between chows and purified diets, creating countless variables, thus making it difficult to interpret the results when these diets are used together in a study (3).

Even in human clinical studies, a variety of variables between different people muddy the waters too much for a clear picture.

To identify methodological categories, the outcome of each paper was classified according to a set of binary variables: 1 - outcome measured on biological material; 2 - outcome measured on human material; 3 - outcome exclusively behavioural (measures of behaviours and interactions between individuals, which in studies on people included surveys, interviews and social and economic data); 4 - outcome exclusively non-behavioural (physical, chemical and other measurable parameters including weight, height, death, presence / absence, number of individuals, etc...).

For studies that reported incidence in each age category, we fitted log - linear model that contained incidence (dependent variable) and consumption (independent variable) with age as a covariate (median age in each age category), and we estimated the relative risk by using an interaction term between age and consumption.

A recent review of studies conducted mainly in adults highlights several methodological variables including concatenation of specific task blocks, the use of low - pass filtering, regression of main effects of task, and methods for selecting regions - of - interest that result in considerable heterogeneity between studies with respect to how functional connectivity is conceptualized and analyzed.

He has particular interests in (1) the use of ancient DNA methods to document changes in genetic variation through time and phylogenetic relationships of extinct or endangered organisms (especially of the recently extinct Hawaiian avifauna); (2) the use of highly variable genetic markers to measure genetic structure and relatedness, and to ascertain mating systems, in natural populations, and (3) the use of genetics to study the evolutionary interactions between hosts, vectors and infectious disease organisms (e.g., major projects on introduced avian malaria in native Hawaiian birds and invasive chytrid fungus in amphibians).

If assessing the connection between fat intake and diabetes, a good study will take into account all meaningful variables, such as how often the participants exercised, or whether they had existing cardiovascular disease.

Purified diets are advantageous to scientists because they make it easy to control for single variables and to make comparisons between different studies using the same diets.

Future studies may want to examine the relationship between psychosocial / qualitative factors with sexual activity and energy expenditure which could explain how these variables could affect overall health and quality of life.

In a study by Volek et al. [51], correlations were found between testosterone levels, macronutrient ratios, types of lipids, and total dietary fat, illustrating a complex interaction of variables.

There were no significant differences between the yoga and control groups on any of the key variables at the beginning of the study.

Dave Asprey: It's such a multivariate thing, when you look at heart studies, it seems like even the ones that talk about so red meat, I look at those and I know that on your diet you don't do red meat and there's the TAMO thing but they never look at - at least in the studies that I've seen, there might be a few exceptions, but the difference between grass - fed versus not grass - fed or deep - fried or aged for a long time versus not aged, and it seems like each of those variables I can't find studies that says, «well if you do meat this way it has this like some of the things nitrates they have cardiac effects right?

«The beauty of a meta - analysis is that you can look at all of the existing studies and calculate the strength of the relationship between one variable and another, taking into account variations in sample size, region of a country, quality of the study, and other factors,» Hill says.

Some of the acknowledged limitations of the data used in the Coleman study — the need to focus on the relationship between teacher variables averaged to the school level and student achievement, in particular — have been addressed by more - recent research.

Researchers Huang, Lin, and Haung (2012) address Graf and Kinshuk (2006) concerns through a study, which analyzed the mediating processes between variables of student learning and learning online.

The second study (hereafter the «meta - analysis»), by Credé et al., [iii] is a systematic review of data from all the published studies that could be found in which participants who were at least of middle school age and in which correlations were reported or could be calculated between scores on any of Duckworth's grit scales and other variables.

[8] The study looked at correlations between changes in tuition and a number of variables, including state appropriations — although the authors used «sticker price» to measure tuition, not actual tuition revenues, which might affect the results.

Large scale assessment studies typically aim at investigating the relationship between persons competencies and explaining variables.

Vannatta and Fordham (2004) conducted a similar study and examined the relationship between a variety of teacher variables — amount of professional development, amount of technology training, years of teaching, self - efficacy, and philosophy — and their technology use for teaching.

Description: This nationwide cross-sectional, descriptive study examines the educational history, demographic features, and academic achievement of home - educated students and the basic demographics of their families, and to assess the relationships between the students» academic achievement and selected student and family variables.

The aim of this study was to describe EFL learners» critical thinking levels and to examine the relationship between participants» critical thinking levels and selected variables such as gender, academic achievement in EFL, subject area, and self - reported reading.

Taking into account the need for more empirical information in this area, this study represents an exploration of the relationship between teachers» learning styles and their level of resistance to change within a group of schools implementing a large - scale technology intervention, as well as the relationship between those variables and teacher attrition.

One indicator that this study may sufficiently account for both selection and omitted variable bias, is that its results are consistent with randomized studies on schools choice that also find no relationship between choice and student outcomes 7 8 9.

The remaining sections report evidence relevant to each of three questions addressed by the study: the impact of collective leadership on key teacher variables and student learning; the relative influence of different collective leadership sources; the relationship between different patterns of collective leadership and student achievement.

It is therefore necessary to remember that an empirical study, in contrast to the experimental, should not contain in its conclusions allegation on the cause - effect dependencies between variables.

If honestly done, there is value in publishing research that says there doesn't seem to be any relationship between variable being studied and the cofactors.