scholarly journals Same Difference? Understanding Variation in the Estimation of Effect Sizes from Educational Trials

2017 ◽  
Author(s):  
ZhiMin Xiao ◽  
Adetayo Kasim ◽  
Steve Higgins

By applying four analytic models with comparable outcomes and covariates to a dataset of 20 outcomes from 17 educational trials, we found results closely matching in well-powered studies without serious implementation problems. The interventions and evaluations were all funded by the Education Endowment Foundation and independently evaluated. We demonstrated that when an analysis takes little account of research design, or where there were difficulties with implementation and data collection, point estimates of effect differ and estimates of precision vary. This adds to the challenge of understanding the comparative impact of interventions and deciding which are worth scaling up.

2014 ◽  
Vol 18 (1) ◽  
pp. 27-34
Author(s):  
Cathy L. O’Nan, ◽  
Kelly Jenkins, ◽  
Lois A. Morgan, ◽  
Tina Adams, ◽  
Barbara A. Davis,

The purpose of this evaluation study was to examine the longitudinal impact of implementation of Duffy’s Quality Caring Model© on patients’ perceptions of nurse caring on medical, surgical, and telemetry units in a community hospital. Data collection points included pre implementation, and 6 months, 10 months, and 22 months post implementation. After each data collection point, nurse leaders developed interventions based on Duffy’s Quality Caring Model© to improve scores. Findings demonstrated higher patient perception of nurse caring scores at each data collection point and on each nursing unit.


Author(s):  
Doug Magnuson ◽  
Mikael Jansson ◽  
Cecilia Benoit

Chapter 9 illustrates the circumstances of the authors’ street-involved youth sample at the time of the last data collection point, further implications of early life trauma, and the unfairness of social policy, with suggestions for helping street-involved youth reintegrate into mainstream social institutions more easily. The youth at this point in their lives were either stable and engaged, stable and unengaged, unstable and engaged, or unstable and unengaged. Only youth in the last category were truly in difficulty, but youth in the other three categories were often left out of supports that other young people take for granted. This points to the mismatch between age and social structure, and in part this is a consequence of education, work, and social services not being responsive to their life circumstances or focused on short-term goals rather than inclusion.


2019 ◽  
Author(s):  
Shinichi Nakagawa ◽  
Malgorzata Lagisz ◽  
Rose E O'Dea ◽  
Joanna Rutkowska ◽  
Yefeng Yang ◽  
...  

‘Classic’ forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the classic forest plot. Instead, most used a ‘forest-like plot’, showing point estimates (with 95% confidence intervals; CIs) from a series of subgroups or categories in a meta-regression. We propose a modification of the forest-like plot, which we name the ‘orchard plot’. Orchard plots, in addition to showing overall mean effects and CIs from meta-analyses/regressions, also includes 95% prediction intervals (PIs), and the individual effect sizes scaled by their precision. The PI allows the user and reader to see the range in which an effect size from a future study may be expected to fall. The PI, therefore, provides an intuitive interpretation of any heterogeneity in the data. Supplementing the PI, the inclusion of underlying effect sizes also allows the user to see any influential or outlying effect sizes. We showcase the orchard plot with example datasets from ecology and evolution, using the R package, orchard, including several functions for visualizing meta-analytic data using forest-plot derivatives. We consider the orchard plot as a variant on the classic forest plot, cultivated to the needs of meta-analysts in ecology and evolution. Hopefully, the orchard plot will prove fruitful for visualizing large collections of heterogeneous effect sizes regardless of the field of study.


Author(s):  
Samuel Ayodeji Omolawal

Delegation of responsibilities constitutes a very important ingredient of good leadership in organisations and is critical to competence development of workers. However, experience shows that many leaders are unwilling to delegate responsibilities to their subordinates for a number of reasons. This study was therefore designed to investigate delegation of responsibilities as a tool for competence development of subordinates in selected organisations in Ibadan metropolis. The study, anchored on Elkem’s model, was descriptive and adopted survey research design with a combination of both quantitative and qualitative approaches. It was conducted on 206 respondents randomly selected from 20 public and private organisations in Ibadan. Questionnaire and IDI were instruments of data collection, while the data collected were analysed using both quantitative and qualitative techniques. The study showed that respondents perceived delegation of responsibilities as a vital tool for developing, equipping and motivating subordinates; and that it had positive effects on subordinates’ performance (X2 = 11.14, p-value = 0.001). The study also revealed that lack of confidence in subordinates (79%), level of skill and competence (66%), organisational climate (68%) and bureaucracy (58%) were barriers to delegation of responsibilities. Delegation of responsibilities is a cost-free way of enhancing competence development of subordinates in organisations, and should therefore, be encouraged among leaders irrespective of their levels.


2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Aris Wahyu Tristanto ◽  
Ludi Wishnu Wardana

This research was conducted to describe the entrepreneurial leadership of SMEs Tofu "RDS" and description about the obstacles experienced by SMEs Tofu "RDS". This research uses descriptive qualitative research design that aims to obtain the information available at this time, and then attempt to describe, record and interpret the information. Data collection methods used were interviews, observation and documentation. This type of qualitative research is case study. The result of the research is the condition of entrepreneurial leadership from the leadership of SMEs Tofu "RDS" is generally good because he is able to motivate employees well, have a picture of the future effort, able to read opportunities well, actively seeking new ideas, persistent in running their business And barriers faced by SMEs Tofu "RDS" can be overcome well by the leadership of SMEs Tofu RDS.


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