scholarly journals What Is the Proportion of Studies Reporting Patient and Practitioner Satisfaction with Software Support Tools Used in the Management of Knee Pain and Is This Related to Sample Size, Effect Size, and Journal Impact Factor?

2018 ◽  
Vol 24 (8) ◽  
pp. 562-576 ◽  
Author(s):  
Philip Bright ◽  
Karen Hambly
Keyword(s):  
Size Effect ◽  
Impact Factor ◽  
Sample Size ◽  
Knee Pain ◽  
Effect Size ◽  
Journal Impact Factor ◽  
Software Support ◽  
Support Tools ◽  
Sample Size Effect ◽  
Journal Impact

Alpha Values as a Function of Sample Size, Effect Size, and Power: Accuracy over Inference

2013 ◽  
Vol 112 (3) ◽  
pp. 835-844 ◽  
Author(s):  
M. T. Bradley ◽  
A. Brand
Keyword(s):  
Size Effect ◽  
Sample Size ◽  
Effect Size ◽  
Effect Sizes ◽  
Medium Effect ◽  
Sample Sizes ◽  
Adequate Number ◽  
Alpha Level ◽  
Sample Size Effect ◽  
Psychological Studies

Tables of alpha values as a function of sample size, effect size, and desired power were presented. The tables indicated expected alphas for small, medium, and large effect sizes given a variety of sample sizes. It was evident that sample sizes for most psychological studies are adequate for large effect sizes defined at .8. The typical alpha level of .05 and desired power of 90% can be achieved with 70 participants in two groups. It was perhaps doubtful if these ideal levels of alpha and power have generally been achieved for medium effect sizes in actual research, since 170 participants would be required. Small effect sizes have rarely been tested with an adequate number of participants or power. Implications were discussed.

Analysis of the journal impact factor and related bibliometric indicators in education and educational research category

2021 ◽  
pp. 1-22
Author(s):  
Metin Orbay ◽  
Orhan Karamustafaoğlu ◽  
Ruben Miranda
Keyword(s):  
Impact Factor ◽  
Educational Research ◽  
Journal Impact Factor ◽  
Impact Factors ◽  
Bibliometric Indicators ◽  
Strongly Correlated ◽  
Starting Point ◽  
Consistent Assessment ◽  
The Impact ◽  
Journal Impact

This study analyzes the journal impact factor and related bibliometric indicators in Education and Educational Research (E&ER) category, highlighting the main differences among journal quartiles, using Web of Science (Social Sciences Citation Index, SSCI) as the data source. High impact journals (Q1) publish only slightly more papers than expected, which is different to other areas. The papers published in Q1 journal have greater average citations and lower uncitedness rates compared to other quartiles, although the differences among quartiles are lower than in other areas. The impact factor is only weakly negative correlated (r=-0.184) with the journal self-citation but strongly correlated with the citedness of the median journal paper (r= 0.864). Although this strong correlation exists, the impact factor is still far to be the perfect indicator for expected citations of a paper due to the high skewness of the citations distribution. This skewness was moderately correlated with the citations received by the most cited paper of the journal (r= 0.649) and the number of papers published by the journal (r= 0.484), but no important differences by journal quartiles were observed. In the period 2013–2018, the average journal impact factor in the E&ER has increased largely from 0.908 to 1.638, which is justified by the field growth but also by the increase in international collaboration and the share of papers published in open access. Despite their inherent limitations, the use of impact factors and related indicators is a starting point for introducing the use of bibliometric tools for objective and consistent assessment of researcher.

The TOP factor: An indicator of quality to complement journal impact factor

2020 ◽  
Vol 13 (3) ◽  
pp. 328-333
Author(s):  
Sven Kepes ◽  
George C. Banks ◽  
Sheila K. Keener
Keyword(s):  
Impact Factor ◽  
Journal Impact Factor ◽  
Journal Impact
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