Sentences with phrase «testing group differences»

ANOVA testing group differences in MVPA between different types of neighbourhoods stratified by localised weather patterns

After making a decision concerning the number of groups of adolescents with psychopathic traits, the Wald chi - square test of mean equality of potential latent class predictors (Asparouhouv and Muthén 2007) was performed, followed by post hoc tests, to test group differences in problem behavior, delinquent behavior, and substance use.

Not exact matches

If you've only been running the ads in a particular ad group for a few months or less, you want to be testing major differences, not minor tweaks.

Those right above and right below the cutoff make for ready - made test and control groups who are very similar in most ways except for one crucial difference — one bunch gets a helping hand from the government and one doesn't.

The best way of testing this (putting aside ethical concerns for a moment) would be to conduct an experiment in which one group did not have access to confidential abortion and another did, and then we could monitor the differences between them.

There were no significant differences between the 12 test groups in the proportions of main vs. joint household grocery purchasing responsibility (F11, 789 = 1.5, p > 0.05), gender (F11, 789 = 0.6, p > 0.05), age group (F11, 789 = 0.5, p > 0.05), education level (F11, 789 = 1.0, p > 0.05) or household income (F11, 789 = 0.9, p > 0.05), indicating that randomization to test groups was successful.

The difference between groups was evaluated using the chi2, Wilcoxon and Fisher's Exact tests.

There were no statistically significant differences in stillbirth and early neonatal deaths between the three groups, although we had insufficient statistical power to test reliably for these differences.

is not one of these reasons — because ten thousand families can take part in an inquiry about their parenting style and then according to their answers they can be split into control group and AP group to test the statistically significant differences between them.

The Student's t - test was used as this is a valid method to analyze the difference in treadmill times in 2 independent groups.

We had one more thing to test, and that is if the control group using analgesics made a difference.

Although there were no important differences in breastfeeding duration between groups, there was a considerably longer duration of exclusive breastfeeding (which was defined as providing only breast milk for the previous 24 h, but did allow formula less than once per week) among women receiving the research bags (either alone or in combination with the research counseling [P < 0.01, 1 - tailed log rank test]-RRB- versus those not receiving research bags.

To test the robustness of this finding in light of the possible effect of these 2 infants, we repeated the UniFrac analysis after reassigning those 2 infants from the mixed feeding group to the exclusively formula — fed group, and no qualitative differences in the results were observed (data not shown).

To detect these differences across the three groups with a two sided test of 5 % with 90 % power we needed to randomise 450 women equally into the three groups.

Funnel plots, the Egger (weighted regression) test, and the Begg and Mazumdar (rank correlation) tests for funnel plot asymmetry were conducted to examine the relation between sample size and observed mean differences in blood pressure by infant feeding group (21).

The confidence intervals for this subgroup do not overlap with any other subgroup, but within - group heterogeneity for all subgroups remains very high, and we advise caution when interpreting this result (Analysis 6.2; test for subgroup differences: Chi ² = 13.78, df = 3 (P = 0.003), I ² = 78.2 %).

However, within - group heterogeneity remains very high in all subgroups, and we advise caution when interpreting this result (test for subgroup differences: Chi ² = 7.62, df = 3 (P = 0.05), I ² = 60.6 %; Analysis 6.4).

Numbers of participants in nonobese [BMI (in kg / m2): < 30] and obese (BMI ≥ 30.0) groups, respectively, are as follows: timely OL (□; n = 102 and 34) and delayed OL (▪; n = 49 and 33)[P < 0.0001 within the nonobese BMI group and P = 0.001 within the obese BMI group (chi - square analysis); Breslow - Day test for homogeneity of the odds ratios (P = 0.6267), indicating that there was not a significant difference by BMI group in the association between delayed OL and excess neonatal weight loss].

For cessation of exclusive breastfeeding at up to six months face - to - face interventions may be associated with greater effects than other types of support; however, very high within - group heterogeneity remains in the analysis, and we advise caution when interpreting this result (test for subgroup differences: Chi ² = 37.55, df = 2 (P <.00001, I ² = 94.7 %; Analysis 3.2).

The estimates for the 7 studies reporting exclusive feeding were more homogeneous (χ2 = 8, P = 0.23) than were the estimates from all 17 studies; the overall mean difference in total cholesterol from the 7 studies reporting exclusive feeding was stronger (mean difference: − 0.15 mmol / L; 95 % CI: 0.23, − 0.06 mmol / L; Figure 3) than that in the remaining 10 studies (14 388 subjects) that did not report exclusive feeding (mean difference: − 0.01 mmol / L; 95 % CI: − 0.06, 0.03 mmol / L; χ2 = 14, P = 0.12; test for difference between groups, P = 0.005).

The two groups have an almost identical average majority and there is no statistical difference between them on any of the constituency demographics I tested for [10].

The Wisconsin group, directed by Kiessling and led by chemistry graduate student Samira Musah, decided to test the idea that the hardness of a surface can make a difference.

As predicted for older adults, during the Stroop test both sides of the PFC are active, with no difference between right and left, verifying the HAROLD phenomenon amongst this group of men.

While psychological tests focused on facial recognition show no difference between these groups, the scientists found differences in these recognition abilities on the ERP measurements, which look directly at neural activity.

The small increase in the high - dose group did not translate into beneficial effects because authors found no difference between the three study groups for changes in spine, average total - hip, average femoral neck or total - body bone mineral density, trabecular bone score, muscle mass or sit - to - stand tests.

Eisenberg says future work will have to test whether dopamine levels in individuals fluctuate with the seasons the same way or if this result reflects some other difference unrelated to season between the groups, which were similar in age, sex and ethnicity.

Whereas both groups completed their tests more quickly when pairing «white» and «pleasant» words, study participants who had been exposed to the multicultural approach showed less of a difference than those who had been given the color - blind material.

Six month after this test phase, individual fish brains were measured to investigate the long term consequences of early group size on brain morphology, revealing differences in brain architecture.

In the main study group, exposure to anesthesia for surgery before the age of 4 was associated with an average difference of 0.41 percent lower school grades and 0.97 percent lower IQ test scores.

A group of researchers at the Beckman Institute for Advanced Science and Technology at Illinois, led by psychology professor Aron Barbey and postdoctoral researcher Tanveer Talukdar, investigated whether individual differences in brain connectivity were associated with decision - making, using functional MRI and a comprehensive test of decision - making.

Both tests revealed statistically significant differences between the exposed and unexposed groups for gross and fine motor development.

The absolute differences in scores were hardly dramatic: On average, the literary group outperformed the popular group by about two questions (out of 36) on the RMET test, and missed one fewer question (out of 18) on the DANVA2 - AF.

The tests look for differences in the DNA nucleotides adenosine, thymine, guanine, and cytosine (A, T, G, and C — the letters of the genetic code) between one person and another, or between one group of people and another group.

The researchers then performed the same test on a different set of volunteers, this time imaging their brains during the process, to look for differences in brain activity between the age groups.

The group that participated in tDCS plus cognitive training however did not show a statistically significant difference from the group that only played cognitive training games as measured by less sensitive standard neuropsychological measures like the Brief International Cognitive Assessment in MS (BICAMS) tests or on computer - based measures of basic attention.

Differences between experimental groups were analysed by two - tailed unpaired Student's t - test, non-parametric Mann — Whitney U test or one - way ANOVA with Dunnett post-test as indicated.

‡ Indicates significant differences among the taxonomic groups tested.

Other differences between experimental groups were analyzed using a two - tailed unpaired Student t test.

For 2 - group comparisons, a 2 × 2 Yates corrected χ2 test was used to evaluate the statistical significance of group differences of percentages of unscored applications and percentages of funded applications.

Unpaired Student's t test or one - way ANOVA with a post-hoc Tukey's test was performed, as appropriate, to determine significant differences between groups.

Differences in subject characteristics between groups were assessed via t - test for continuous variables and Chi - squared test for categorical factors.

Differences between groups were evaluated by Student's t - test (C) or one - way ANOVA (D).

Results: There were no differences between groups in the performance tests or testosterone levels detected at baseline (p > 0.05).

Hotelling's T2 test indicated a nonsignificant (T2 = 1.7756, P > 0.05) difference between the study group vector and the reference population 50 % CI ellipse, confirming that the hydration of FFM was normal, so the DXA results were not influenced by altered soft - tissue hydration (21, 22).

The group tested that had a previous hamstring injury responded slightly better to the warmup and static stretching than the uninjured group but this difference was not statistically significant.

They divided female rats into two groups, and the only difference between the test group and the controls was that the test group was given fats that had been left in a relatively warm place for 25 days, which caused considerable oxidative damage, whereas the controls were fed fresh fats instead.

Test of transfer (long - term): to date, only one study has compared the long - term effects of training with single - leg and two - leg strength training exercises on COD ability (Speirs et al. 2015) and they found no differences between groups.

Independent - samples t tests were used to determine group differences in either the pre - or the postintervention values.

Extend the study out to 4 or more weeks minimal so that each test group has the ability to regain their equilibrium and you will likely see no significant difference.

To determine if a statistically significant difference existed between all three groups at post-intervention on the GSDS and PSQI, we used a Kruskal — Wallis test with a Mann — Whitney Upost hoc analysis.