5 resultados para ANCOVA
em Aston University Research Archive
Resumo:
The question of how to develop leaders so that they are more effective in a variety of situations, roles and levels has inspired a voluminous amount of research. While leader development programs such as executive coaching and 360-degree feedback have been widely practiced to meet this demand within organisations, the research in this area has only scratched the surface. Drawing from the past literature and leadership practices, the current research conceptualised self-regulation, as a metacompetency that would assist leaders to further develop the specific competencies needed to perform effectively in their leadership role, leading to an increased rating of leader effectiveness and to enhanced group performance. To test this conceptualisation, a longitudinal field experimental study was conducted across ten months with a pre- and two post-test intervention designs with a matched control group. This longitudinal field experimental compared the difference in leader and team performance after receiving self-regulation intervention that was delivered by an executive coach. Leaders in experimental group also received feedback reports from 360-degree feedback at each stage. Participants were 40 leaders, 155 followers and 8 supervisors. Leaders’ performance was measured using a multi-source perceptual measure of leader performance and objective measures of team financial and assessment performance. Analyses using repeated measure of ANCOVA on pre-test and two post-tests responses showed a significant difference between leader and team performance between experimental and control group. Furthermore, leader competencies mediated the relationship between self-regulation and performance. The implications of these findings for the theory and practice of leadership development training programs and the impact on organisational performance are discussed.
Resumo:
Analysis of covariance (ANCOVA) is a useful method of ‘error control’, i.e., it can reduce the size of the error variance in an experimental or observational study. An initial measure obtained before the experiment, which is closely related to the final measurement, is used to adjust the final measurements, thus reducing the error variance. When this method is used to reduce the error term, the X variable must not itself be affected by the experimental treatments, because part of the treatment effect would then also be removed. Hence, the method can only be safely used when X is measured before an experiment. A further limitation of the analysis is that only the linear effect of Y on X is being removed and it is possible that Y could be a curvilinear function of X. A question often raised is whether ANCOVA should be used routinely in experiments rather than a randomized blocks or split-plot design, which may also reduce the error variance. The answer to this question depends on the relative precision of the difference methods with reference to each scenario. Considerable judgment is often required to select the best experimental design and statistical help should be sought at an early stage of an investigation.
Resumo:
Glucagon-like peptide-1 (GLP-1) receptor agonists improve islet function and delay gastric emptying in patients with type 2 diabetes mellitus (T2DM). This meta-analysis aimed to investigate the effects of the once-daily prandial GLP-1 receptor agonist lixisenatide on postprandial plasma glucose (PPG), glucagon and insulin levels. Methods: Six randomized, placebo-controlled studies of lixisenatide 20μg once daily were included in this analysis: lixisenatide as monotherapy (GetGoal-Mono), as add-on to oral antidiabetic drugs (OADs; GetGoal-M, GetGoal-S) or in combination with basal insulin (GetGoal-L, GetGoal-Duo-1 and GetGoal-L-Asia). Change in 2-h PPG and glucose excursion were evaluated across six studies. Change in 2-h glucagon and postprandial insulin were evaluated across two studies. A meta-analysis was performed on least square (LS) mean estimates obtained from analysis of covariance (ANCOVA)-based linear regression. Results: Lixisenatide significantly reduced 2-h PPG from baseline (LS mean difference vs. placebo: -4.9mmol/l, p<0.001) and glucose excursion (LS mean difference vs. placebo: -4.5mmol/l, p<0.001). As measured in two studies, lixisenatide also reduced postprandial glucagon (LS mean difference vs. placebo: -19.0ng/l, p<0.001) and insulin (LS mean difference vs. placebo: -64.8 pmol/l, p<0.001). There was a stronger correlation between 2-h postprandial glucagon and 2-h PPG with lixisenatide than with placebo. Conclusions: Lixisenatide significantly reduced 2-h PPG and glucose excursion together with a marked reduction in postprandial glucagon and insulin; thus, lixisenatide appears to have biological effects on blood glucose that are independent of increased insulin secretion. These effects may be, in part, attributed to reduced glucagon secretion. © 2014 John Wiley and Sons Ltd.
Resumo:
Background: Self-affirmation (i.e., focusing on a valued aspect of the self-concept) can promote health behaviour change. This study aimed to see if self-affirmation increased physical activity (PA) regardless of threat level presented in health messages. Methods: Sixty-eight participants were randomly allocated to condition in a 2 (self-affirmation, no affirmation) x 2 (high threat, low threat) between-participants design. Participants completed the Godin Leisure-Time Exercise Questionnaire at baseline and one week later to assess PA. Findings: A two-way ANCOVA with affirmation condition and threat level as predictor variables, controlling for baseline PA, was performed on follow up PA. Baseline PA was a significant predictor (F(1,63) = 399.63, p<0.001) and the main effect of affirmation condition approached significance (F(1,63) = 3.55, p=0.06). There were no other significant effects. Discussion: This study provides further evidence that self-affirmation can increase PA, but found no interaction between self-affirmation and threat level presented in health messages.
Resumo:
Background and aims: Glucagon-like peptide-1 (GLP-1) receptor agonists improve islet function and delay gastric emptying in subjects with type 2 diabetes mellitus. We evaluated 2-hour glucose, glucagon and insulin changes following a standardized mixed-meal tolerance test before and after 24 weeks of treatment with the once-daily prandial GLP-1 receptor agonist lixisenatide (approved for a therapeutic dose of 20 μg once daily) in six randomized, placebo-controlled studies within the lixisenatide Phase III GetGoal programme. In the studies, the mixed-meal test was conducted before and after: (1) lixisenatide treatment in patients insufficiently controlled despite diet and exercise (GetGoal-Mono), (2) lixisenatide treatment in combination with oral antidiabetic drugs (OADs) (GetGoal-M and GetGoal-S), or (3) lixisenatide treatment in combination with basal insulin ± OAD (GetGoal-Duo 1, GetGoal-L and GetGoal-L-Asia).Materials and methods: A meta-analysis was performed (lixisenatide n=1124 vs placebo n=707) combining ANCOVA least squares (LS) mean values using an inverse variance weighted analysis. Results: Lixisenatide significantly reduced 2-hour postprandial glucose from baseline (LS mean difference vs placebo: -4.9 mmol/L, p<0.0001, Figure) and glucose excursions (LS mean difference vs placebo: -4.5 mmol/L, p<0.0001). As measured in two studies, lixisenatide also reduced postprandial glucagon (LS mean difference vs placebo: -19.0 ng/L, p<0.0001) and insulin (LS mean difference vs placebo: -64.8 pmol/L, p<0.0001), although the glucagon/insulin ratio was increased (LS mean difference vs placebo: 0.15, p=0.02) compared with placebo. Conclusion: The results show that lixisenatide potently reduces the glucose excursion after meal ingestion in subjects with type 2 diabetes, in association with marked reductions in glucagon and insulin levels. It is suggested that diminished glucagon secretion and slower gastric emptying contribute to reduced hepatic glucose production and delayed glucose absorption, enabling postprandial glycaemia to be controlled with less demand on beta-cell insulin secretion. Clinical Trial Registration Number: NCT00688701; NCT00712673; NCT00713830; NCT00975286; NCT00715624; NCT00866658 Supported by: Sanofi