Sentences with phrase «study variables»

Second, correlations between key study variables by parent gender are displayed.

Zero - order correlations between major study variables are listed in Table 1.

Learners focus on becoming educated consumers of research and examine major concepts and techniques of social science research, including problem formulation, identification of variables, literature review, research design, sampling, definition and measurement of study variables, instrument construction, and data collection and analysis.

Means, standard deviations, and zero - order correlations among study variables in the full sample are presented in Table I. Adolescent - reported mother and father acceptance were correlated with better adherence (adolescent report) and fewer depressive symptoms.

Sex differences for study variables were analysed with the non-parametric Wilcoxon two - sample test (table 1).

Other study variables included occupational and leisure - time physical activity, sleep duration, socioeconomic status, smoking, alcohol consumption, energy intake, adherence to the recommended diet, multiple individual food items, age and genetic variants associated with body mass index (BMI).

Analyses conducted to test whether associations of shared selves with other study variables varied depending on the content of the shared selves did not yield any systematic differences by domain.

Summary: (To include comparison groups, outcomes, measures, notable limitations) This study uses structural equation modeling, a technique which allows researchers to statistically determine likely causal and mediating relationships between study variables.

Main study variables included work satisfaction, self - reported health status, musculoskeletal pain, and mental distress symptoms.

Means, Standard Deviations (SD), and Correlations Among Primary Study Variables Across the Full Sample

The researchers also studied variables related to other ocean plant groups, like diatoms, which build glass shells that carry carbon to the deep sea, sequestering it from the atmosphere.

The researchers also analyzed how 10 study variables influenced the participants» self - reported severity of PTSD symptoms.

In a more recent study, Samadi and McConkey [29] studied the variables that are associated with parental stress.

To place the argument in context, consider the fact that researchers who want to understand and predict romantic outcomes usually study variables from one of three camps:

We expected that, in a hybrid Structural Equation Model, the selected study variables (personality, attachment style and interpersonal attraction) will predict romantic inclination mediated by social influence (media and peer influence).

A correlation matrix of study variables was produced in order to examine the bivariate correlations between risk factors and SDQ scores.

There were no statistically significant differences (ps >.05) between men and women with different relationship statuses (dating versus married versus unmarried cohabiters) on study variables (depressive symptoms, relationship satisfaction, and partner violence), so all analyses were conducted with the relationship status groups combined.

Significant paths among the seven key study variables for both models (count - based and means - based) are depicted in Figs 1 and 2 (see S2 and S3 Tables for full results among key variables).

Bivariate analyses were first conducted to evaluate the relationship between TV - viewing time and the other study variables.

Any significant path, therefore, accounted for covariates, previous scores on the outcome variables, correlations among variables within a wave, as well as any other predictors in the model (i.e., estimating the unique relation between study variables).

Interviewers, who were not involved in the intervention process and who were blinded to the group to which the children belonged, conducted home visits at 6 and 12 months in order to collect data on the study variables.

But, ultimately, a lot of data are potentially lost when sex is not included as a study variable, Fowler reasons.

Follow - up funding allowed the team to study the variable of temperature, and now Chandross has begun an LDRD project to look at metals with other structures.

MI developed a conceptual model / theory of change to organize the study variables and guide all measurement work.

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.

Furthermore, there were no significant differences in any the study variables measured just before randomization between the two study groups.

When comparing HT and MBSR groups at baseline, χ2 tests revealed no significant differences in gender (P =.99), ethnicity (P =.32), age (P =.45), nor any study variables of interest (P =.10 — .99).

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.

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.

We used multivariate linear regression with TV - viewing time (in minutes) as the dependent variable to control for confounding and explore possible interactions among study variables.

Fourth, all study variables were measured through self - reported evaluations and this may have caused a certain bias.

Two - tailed Pearson correlations were computed among study variables.

Of these eligible respondents, those who had no missing data on the study variables were included in the current analysis yielding a final sample of 738 older adults (79.6 % of the 927 NSHAP respondents).

If the relations among the study variables are quite different for these teens, our results could be biased compared to the full population.

The base model of this research is to study the variables of relationship characteristics including the length of time and the kind of purchase how to influent the switching costs under the regulatory role of customer

Logistic regression analyses showed the relative contribution of the study variables to changed financial status, from deployment to postdeployment.

We adopted a multi-dimensional approach in order to specify a path analysis model including all the study variables.

A Monte Carlo simulation study showed that estimates of associations are far more robust to selective attrition than are estimates of prevalence and mean values, and that associations between attrition and study variables had to approach a strong effect size before estimates of associations became biased in a situation with 50 percent attrition in a an original sample of n = 1000 (Gustavson et al. [2012]-RRB-.

Table 1 shows descriptive statistics and correlations among all study variables.