Sentences with phrase «t test analyses»

The ROI analysis corroborated a significant group × drug interaction in midbrain (F = 14, P = 0.0006), and post hoc t test analyses showed that whereas in marijuana abusers, MP decreased BPND in midbrain (− 3.5 ± 8 %; F = 5.4, P = 0.03), MP increased BPND in controls (4 ± 6 %; F = 9.2, P = 0.006).

Not exact matches

This paper examines the day of the week effect in the crypto currency market using a variety of statistical techniques (average analysis, Student's t - test, ANOVA, the Kruskal - Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach.

Data were entered and analyzed using SAS, BMDP, and Epi Info version 6.17 Statistical tests used to compare sociodemographic characteristics (Tables 1 and 2) included Student's t test, χ2 test, and Fisher's exact test as appropriate.18 Analyses of breastfeeding problems and frequency were examined using χ2 tests and Student's t test, respectively.

Using analysis of variance, t - tests, or chi - square tests as appropriate, we compared the clinical characteristics among exposure groups and among subjects with World Trade Center cough according to prognostic subgroups: those with predominantly upper - airway symptoms (29 subjects) or lower - airway symptoms (95 subjects) or those with bronchial responsiveness (249 subjects).

A within - subject design, statistical analysis using a Student's t - test, paired two - tailed distribution was used.

Microsoft Excel 2003 was used to perform statistical analysis and two - tailed Student's t - test for determining the p - value.

Statistical analysis was performed using ANOVA and unpaired two - tailed t test with GraphPad Prism software (La Jolla, CA).

For continuous variables that were normally distributed, we used Student's t test or the one - way analysis of variance.

Statistical analyses were made using either Student's two - tailed unpaired t test or analysis of variance (ANOVA) as specified in the figure legends, and Newman - Keuls procedure was used for multiple comparison analysis.

Statistical analysis was carried out by analysis of variance and Student's t test (two - tailed) as indicated.

Student's t - test was used for statistical analysis.

Further the manuscript reported using a Wilcoxon test for the analysis of a categorical outcome, yet reported T values in the tables of results [64].

Data are shown as mean ± SEM; statistical analysis was performed with t test, between each experimental condition and the untreated control; * P < 0.05, ** P < 0.01, *** P < 0.001.

The interaction between group and time was significant for the abdominal endurance test, F (1,22) = 5.98, p = 0.02, and post hoc analysis suggest a significant increase of 5.5 ± 7.3 curl - ups from pre to posttesting in CG, t (9) = − 2.38, p = 0.04, ES = 0.38, and a significant increase of 14.6 ± 10.0 curl - ups from pre to posttesting in AG, t (13) = − 5.45, p = 0.001, ES = 0.69.

Because respondents were randomly assigned to receive the refutation text or the control, we use straightforward analyses including descriptive statistics, t - tests, and ordinary least squares regressions.

Child development and perinatal outcomes were compared with population norms using one - sample t test and binomial analyses.

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.

To describe the obtained data, frequency table, mean and standard deviation were applied and for analyzing the data, independent t - test and one - way analysis of variance were used.

Student's t tests, χ2 tests, and analyses of variance were conducted to examine the data for baseline group or site differences.

Data processing: Mann - Whitney U-test, Wilcoxon T - test, Spearman rank correlation, regression analysis.

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.

Analysis was conducted on an intention to treat basis using paired t tests and Wilcoxon matched pairs signed rank test (as appropriate for the distribution of scores) to calculate the significance of differences between baseline and follow up scores within groups.

Although there was a lower response among families of minority groups (70 %) than among white families (84 %), (p <.01), t - tests and chi - square analyses indicated that minority - group respondents did not differ from minority - group nonrespondents on any birth status or sociodemographic variable (p >.05).

These will be used on higher level analysis which will include, among others: (1) Paired t - test to evaluate treatment effects; (2) two - sample t - test to compare groups (responders and non-responders) at baseline; (3) correlation analysis to determine associations with psychometric and QST measurements.

We used one - way analysis of variance or independent sample t - tests to compare group differences on the measures of the continuous variables.

The results were analyzed using t - test, the Pearson correlation and the stepwise model of multiple regression analysis.

t - tests were carried out to test differences on demographic variables such as gender, location, and family type; correlation analyses were used to assess the relationships between these variables.

Results from the t - tests analyses for each Dark Triad character trait for time perspective dimensions.

Descriptive statistics, hierarchical regression analyses, Pearson's correlation, and the t - test were conducted.

We also repeated the t - test analysis that was conducted in the previous study to ascertain whether Indian participants (categorized as high in collectivism) were more collectivistic than American participants (categorized as low in collectivism).

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 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.

In this analysis alone, intake CD4 cell counts (t = − 2.1, P <.04) and Karnofsky severity (t = − 2.2, P <.04) were associated with endpoint BDI score, and the post hoc Tukey least significant difference test showed a trend for CBT to outperform SP (P =.06).

Peak coordinates from repeated measures analysis of variance and one sample t - test.

Chi - square analyses failed to reveal any significant differences between dropouts and completers in terms of gender, education level, or marital status, and a t test showed no significant differences in terms of age or years since the trauma.

The choice of multiple t - tests for analysis of the outcome data is considered appropriate, although a simple two - way analysis of variance would have been a better choice and could have examined simultaneously the effects of the treatments on outcome measures and the differences between pre - and post-treatment measurements.

The paired - samples t test that was calculated for this analysis indicated that pre-test perceptions of the physical attractiveness of a male dater yielded a mean of 4.65 (sd = 1.21) on a 7 - point continuum whereas post-test perceptions of the physical attractiveness of a male dater yielded a mean of 4.71 (sd = 1.32) on a 7 - point continuum.

Simple and complex designs, normal distribution, z - test, t - test, analysis of variance, statistical power, simple regression.

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).

Given poor robustness of t - tests with very different group sizes, we used t ′ assuming lack of homogeneity of variance; control analysis was tested with general linear model (GLM) controlling for age, depressive symptoms, and self - rated health (df = 1).

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.

Chi square analyses and t - tests were conducted to examine potential differences in the demographic, predictor, and outcome variables as a function of accelerometer wear adherence (wearing the accelerometer for less than 4 versus 4 or more days).

The data were analyzed with methods of the descriptive statistics, t - test, and the multiple regression analysis.

Independent t - tests were used to compare girls with and without DBD, while path analyses tested for the mediating role of post - trauma symptoms in the relation between stress regulating systems and externalizing behaviour.

Multivariate analyses of variance (MANOVAs) with child (siblings, comparison) as a within - subjects variable and each measures» (CBCL, Child and Adolescent Social Support Scale [CASSS], MFQ) subscales as the dependent variables or paired t tests (LQ) were used to contrast siblings and comparison peers.

Mean group differences were compared via t tests, and differences in rates of clinically significant CBCL T scores were compared with χ2 analysest tests, and differences in rates of clinically significant CBCL T scores were compared with χ2 analysesT scores were compared with χ2 analyses.

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.

For the final questionnaire of 640, factor analysis, reliability test, t - test, one - way ANOVA, and hierarchial regression analysis were executed.

Most comparisons of QOL between regimens have compared values before and after initiating pump use with t - tests or analyses of variance and have not considered trajectories of change during the transition or factors contributing to the changes that were found (Cogen et al., 2007; Juliusson et al., 2006; McMahon et al., 2004), leaving much unknown about youths» and families» experiences over this period.