Sentences with phrase «independent sample t test»

We estimated differences in resource use and costs with the independent samples t test procedure and differences in effects with odds ratios and weighted incidence rates from the cohort study.
But using independent samples t test, none of those difference reach at a significant level (P < 0.05).
Initial analyses examined potential differences in participant characteristics and demographics across intervention groups at baseline by using independent samples t tests for continuous variables and χ2 analyses for categorical variables.
Independent samples t tests indicated there were no gender differences on the HADS.
Groups were compared using Chi squares and two - tailed independent samples t tests.
First, mean scores on temperament dimensions and scales were compared between the referred and population group using independent samples t tests.
Australian participants completed an anonymous online survey, and overall means were calculated for each group and compared using independent samples t tests.

Not exact matches

First, in order to see if the used olfactory stimuli differed in their perceived pleasantness and intensity, the pleasantness and intensity scores of the olfactory stimuli were analyzed with a t - test for independent samples.
Independent - samples t tests were used to determine group differences in either the pre - or the postintervention values.
Independent sample t - tests and... multiple regression analyses were conducted to examine gender differences in strain, need for supports, social support, and quality of life.
Independent sample t - tests and
Independent samples t - test was performed on gender and prior or current experiences with intimate relationships; ANOVA was performed across participants» religious affiliations.
We used one - way analysis of variance or independent sample t - tests to compare group differences on the measures of the continuous variables.
Comparison of variables was by non-parametrical χ2 test or Fisher's exact test, or t - test for independent samples.
Independent samples t - test was used to confirm known - groups validity.
Independent sample t - test was used to compare the level of self - esteem, family function score and social support score between the two groups with and without grandparenting experience; Pearson correlation was calculated to explore how levels of self - esteem and family functions as well as perceived social support were related; Hierarchical regression analysis was applied to examine the moderating effect of social support on the relationship between family function and self - esteem.
For continuous measures, mean differences were tested with Student's t test for independent samples.
T - tests were used to assess the significance of the differences between the two independent samples for each variable.
For mean scores, differences were tested using Student's t test for independent samples.
Independent sample t - tests revealed that older rapid regulators had significantly lower levels of trait anxiety, t (22) = 3.22, p <.01, and neuroticism, t (23) = 2.39, p <.05, and reported experiencing depressive symptoms significantly less often than their younger counterparts, t (22) = 3.16, p <.01.
We tested whether our African American subsample differed from our White subsample on the three subscales of the Celebrity Attitude Scale (CAS) using independent samples t - tests.
We also attempted to determine if any demographic variables (gender, race, or relationship status) predicted change in attachment attitudes via independent samples t - tests (gender, relationship status) and one - way ANOVA (race) in order to better contextualize study findings.
First, exploratory analyses using bivariate correlations and independent - samples t - tests were run to assess how well the three PCERA scales related to other parental and child attributes also collected at hospital discharge (Table II).
Chi - square and independent sample t - tests were first calculated for univariate comparisons of demographic characteristics.
The statistical analysis of the gathered data utilized the statistical package for social sciences — SPSS 21 for Windows, applying Chi - square test (X2) for comparing the frequency distributions, t - test for comparison of two independent samples, and Pearson coefficient for correlation (r) for calculating the relationship between the variables.
Furthermore, the frequency of peer - victimization in female and male adolescents was calculated, and whether peer - victimization differs between middle school students and senior high school students was investigated (independent sample t - test).
Descriptive statistics (means, standard deviations and proportions) were computed to describe the sample and differences according to sex were examined using independent t - tests and chi - square analyses.
Independent sample t - test (t - test for equality of means) was used after splitting the data country wise, to evaluate the hypotheses of this study which were formulated after finding the gap in the existing literature, which include:
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