Using Total Sample Size Weights in Meta-Analysis of Log-Odds Ratios

2018 ◽  
Vol 87 (3) ◽  
pp. 400-414 ◽  
Author(s):  
Sunyoung Park ◽  
S. Natasha Beretvas
Keyword(s):  
Sample Size ◽  
Meta Analysis ◽  
Total Sample ◽  
Odds Ratios ◽  
Total Sample Size ◽  
Log Odds

Setting Doesn’t Matter Much

2019 ◽  
Vol 35 (3) ◽  
pp. 309-316 ◽  
Author(s):  
Nicolas Becker ◽  
Marco Koch ◽  
Johannes Schult ◽  
Frank M. Spinath
Keyword(s):  
Sample Size ◽  
Meta Analysis ◽  
Total Sample ◽  
Intelligence Tests ◽  
Current Testing ◽  
Population Effect ◽  
Total Sample Size ◽  
Testing Practice ◽  
Diagnostic Setting

Abstract. This study deals with the effects of the diagnostic setting on the performance in intelligence tests. We conducted a meta-analysis in which k = 30 samples with a total sample size of N = 2,448 were integrated. We compared results for the same intelligence tests administered either in a group or in an individual setting. The main analysis indicated a small mean population effect [ M( g) = 0.085] that was not significant [−0.036 ≤  M( g) ≤ 0.206]. Nevertheless, moderator analyses indicated a stronger [ M( g) = 0.193] and significant [0.087 ≤  M( g) ≤ 0.298] effect in favor of individual settings for studies employing a between-person design. Setting effects in within-person designs were most likely superimposed by retest effects. As the setting effect was very small, the current testing practice in which results obtained in group and individual settings are treated as interchangeable is not overly problematic. However, our results encourage test developers to examine setting effects before stating that results obtained in different settings are equivalent. Between-person designs using participants of comparable ability are most suitable in this context as retest effects can be ruled out.

scholarly journals The relationship between the perception of justice in the organization and the intention to leave the organization: Meta-analysis

2021 ◽  
Vol 11 (1) ◽  
pp. 68-117
Author(s):  
Katarina Milić
Keyword(s):  
Procedural Justice ◽  
Sample Size ◽  
Meta Analysis ◽  
Intention To Leave ◽  
Total Sample ◽  
Moderate Intensity ◽  
Total Sample Size ◽  
Quantitative Synthesis ◽  
Large Heterogeneity ◽  
The Relationship

The aim of this meta-analysis is to examine the connection between distributive and procedural justice and the intention to leave the organization by quantitative synthesis of available empirical papers that meet the defined criteria. 126 papers have been found through the search of the literature, out of which 58 studies met all the defined criteria. After summing up all studies that had data on the correlation between distributive justice and the intention to leave the organization, the total sample size equals 20068, while the total sample size of studies that had data on the correlation between procedural justice and the intention to leave the organization equals 17901. The results show that distributive and procedural justice are significantly, negatively correlated to the intention to leave the organization and that this connection is of moderate intensity. Examination of the file-drawer effect has shown that there was no bias in the selection of studies which will be included in the process of meta-analysis. Since the results have shown that there is a very large heterogeneity between the studies that have entered the process of meta-analysis, the moderating effect of the category of the journal in which the studies have been published was examined as well. The results have shown that the weighted magnitudes of the effects do not differ with respect to the category of the journal in which the studies have been published.

scholarly journals The Anxiety Status of Chinese Medical Workers During the Epidemic of COVID-19: A Meta-Analysis

2020 ◽  
Vol 17 (5) ◽  
pp. 475-480 ◽  
Author(s):  
Rong Pan ◽  
Liqing Zhang ◽  
Jiyang Pan
Keyword(s):  
Sample Size ◽  
Random Effects ◽  
Meta Analysis ◽  
Total Sample ◽  
Random Effects Model ◽  
Retrieval Time ◽  
National Norm ◽  
Total Sample Size ◽  
Database Construction ◽  
The Difference

Objective To analysis the anxiety status of Chinese medical workers during the epidemic of COVID-19 by meta-analysis method.Methods CNKI, VIP, WanFang Data, SinoMed, PubMed, Cochrane, EMBASE, MEDLINE, Scopus, Google Scholar and other databases were searched to collect literature on the anxiety status of Chinese medical workers during the epidemic of COVID-19. The retrieval time is from the database construction to 11/03/2020. Meta-analysis was performed on the included articles by using Stata 16.0 software.Results A total of 7 articles were included, with a total sample size of 7,741 people. Meta-analysis using the random effects model showed that the anxiety score of Chinese medical during the epidemic of COVID-19 was significantly higher than that of the national norm in each study, the difference was statistically significant [SMD (95% CI)=1.145 (0.705–1.584), p<0.001].Conclusion The anxiety level of Chinese medical workers has increased significantly during the epidemic of COVID-19.

Farmers Sustainability and Social Justice: Evidences of Land Inequalities in Uttar Pradesh

2020 ◽  
pp. 232-238
Keyword(s):  
Social Justice ◽  
Sample Size ◽  
Field Survey ◽  
Uttar Pradesh ◽  
Total Sample ◽  
Small Farmers ◽  
Land Fragmentation ◽  
Total Sample Size ◽  
Fragmentation Index ◽  
State Economy

The present study is an attempt to inspect the aspect of social justice among the farmers in terms of fragmented land and farmers’ distress in Uttar Pradesh. The data were obtained through field survey via interview scheduled. A sample of 80 respondents from each targeted village namely, Jansar, Sithauli, Charsoni, and Jonai were selected from each region of Uttar Pradesh state economy. Thus, the study used a total sample size of 320 samples. Simmons index (1968) for canvassing the land fragmentation index (LFI) was applied in the Uttar Pradesh context. Further distress was measured via the help of ratios. It flaunted causes and degrees of distress were relatively high among marginal and small farmers. The result of LFI confirms that high fragmentation was a cause of subsistence income among marginal and small farms compared to semi-medium, and medium farms.

Growth in Self-Actualization (Personal Orientation Inventory) in Adult Encounter Groups

1981 ◽  
Vol 1 (1) ◽  
pp. 5-8
Author(s):  
Les Beach
Keyword(s):  
Sample Size ◽  
Personal Growth ◽  
Total Sample ◽  
Small Samples ◽  
Total Sample Size ◽  
Personal Orientation Inventory ◽  
Self Actualization ◽  
Personal Orientation

To test the efficacy of the Personal Orientation Inventory in assessing growth in self-actualization in relation to encounter groups and to provide a more powerful measure of such changes, pre- and posttest data from 3 highly comparable encounter groups (N = 43) were combined for analysis. Results indicated that the Personal Orientation Inventory is a sensitive instrument for assessing personal growth in encounter groups and that a larger total sample size provides more significant results than those reported for small samples (e. g., fewer than 15 participants).

Unequal Randomisation Can Improve the Economic Efficiency of Clinical Trials

1997 ◽  
Vol 2 (2) ◽  
pp. 81-85 ◽  
Author(s):  
David Torgerson ◽  
Marion Campbell
Keyword(s):  
Clinical Trials ◽  
Sample Size ◽  
Statistical Power ◽  
Cost Effective ◽  
Total Sample ◽  
Cost Ratio ◽  
Treatment Groups ◽  
Total Sample Size ◽  
Effectiveness Analysis ◽  
Research Resources

Objectives: In the majority of clinical trials patients are randomised equally between treatment groups. This approach maximises statistical power for a given total sample size. The objectives of this paper were to determine if, when research costs between treatments differ, it is more economically efficient to randomise additional patients to the cheaper treatment, and how the optimum randomisation ratio can be estimated. Methods: Estimation of the most economically efficient randomisation ratio for four hypothetical clinical trials using cost-effectiveness analysis. Results: When research costs differ between treatments, and there is no constraint on total sample size, it is always more cost-effective to randomise more patients to the cheaper treatment. For example, a cost ratio between the lesser and more expensive treatment of ten, results in a randomisation ratio of 3.2:1. Conclusions: Unequal randomisation ratios should be more widely used as this will achieve optimum statistical power for the lowest expenditure of research resources.

scholarly journals Evaluation of the Skin Infections and Conditions among Students of Gomal Medical College Pakistan

2021 ◽  
pp. 218-222
Author(s):  
Shumaila Parveen ◽  
Yaser M. Alahmadi ◽  
Faryal Adnan ◽  
Eshawa Darr ◽  
Ali Alalawi ◽  
...  
Keyword(s):  
Medical Students ◽  
Observational Study ◽  
Sample Size ◽  
Total Sample ◽  
Skin Infections ◽  
Age Group ◽  
Cross Sectional ◽  
Total Sample Size ◽  
Medical College ◽  
Dermatological Disorders

Objective: The objective of the current study is to determine the pattern of dermatological disorders and to find out their connection with different socioeconomically factors among students of the Medical College. Methodology: The Cross sectional observational study was carried out for the period of three months .The research instrument used was the well developed questionnaire. Results: The questionnaire was administered among total 350 students and the most participant age group was the > 22 and that was about 47.4% of the total sample size the more skin complication seen was the acne that was about 59.7%, in addition to this dandruff contributed very heavily to the hair complexities which makes about 35.7% of the sample. Conclusion: Skin infections especially the cosmetic are very common among the Medical students.

scholarly journals TO STUDY THE EFFICACY OF AYURVEDIC TREATMENT IN COVID-19/SARS-COV-2

2021 ◽  
Vol p5 (02) ◽  
pp. 2680-2688
Author(s):  
Ravindrakumar Mane ◽  
Ram Lade
Keyword(s):  
Clinical Trial ◽  
Sample Size ◽  
Death Rate ◽  
Total Sample ◽  
Management Plan ◽  
Effective Management ◽  
Total Sample Size ◽  
Corona Virus ◽  
Ayurvedic Treatment ◽  
Contemporary Medicine

To overcome COVID-19 infection there is no any precise & effective management plan so far available in contemporary Medicine. Therefore, an attempt of administering Ayurvedic medicines to alleviate signs & symptoms of Novel Corona virus is taken into consideration. A clinical trial was performed in hospital with the combination of pure herbo-mineral Ayurvedic medicines named as ‘Shwashara’ along with modern medicines over 93 infected indoor subjects. In total sample size, 76.34% subjects had co-morbidities, after treatment it is been observed that, 29.58% of these subjects did not need oxygen support. 52.69% of sub-jects had HRCT score more than half. 58.06% were recovered within 7 Days. Out of 471 patients, who re-ceived only modern medicines had death rate of 10.02% and the Subjects treated with both systems of medicines have recorded 2.15% death. The ‘Shwashara’ medicine decreases symptoms of pneumonia & COVID-19, strengthen lungs and reduces death rate significantly.

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