Normalized Eigenfactor Mean C score 0.02 59.5 0.02 83.3 0.03 14 0.02 21.2 0.08 0

Question

Normalized Eigenfactor Mean C score 0.02 59.5 0.02 83.3 0.03 14 0.02 21.2 0.08 0 0.05 37.4 0.05 23.5 0.05 61.53333333 0.05 37.4 0.01 0 0.01 0 0.01 27.76666667 0.01 82.1 0.41 0 0.41 0 0.41 81.46666667 0.41 79.8 0.41 47.4 0.41 50.33333333 0.00 63 0.06 46.1 0.06 82.96666667 0.06 0 0.06 92.2 0.01 81.7 0.11 0 0.11 0 0.11 77.3 0.05 35.66666667 0.20 56.4 0.08 41.1 0.08 83.7 0.08 39.7 0.04 54.23333333 0.04 0 0.03 0 0.03 47.2 0.03 50 0.06 48.75 0.06 43.1 0.06 0 0.06 13.7 0.06 44.05 0.06 0 0.06 83.7 0.08 0 0.08 39.3 0.03 0 0.08 0 0.04 47.3 0.11 14 0.11 89 0.07 0 0.07 81.7 0.04 0 0.04 15.15 0.21 76 0.09 51.9 0.14 62.1 0.87 0 0.87 82.8 0.87 0 0.87 0 0.87 0 0.87 32.4 0.87 22.75 0.87 0 0.87 26.5 0.87 38.2 0.87 0 0.87 0 0.87 0 0.87 41.3 0.87 84.9 0.87 0 0.87 75.4 0.13 0 0.13 45.5 0.13 0 0.13 21.1 0.13 42 0.13 49.95 0.09 0 0.09 0 0.09 0 0.09 94.3 0.09 61.5 0.09 0 0.10 90 0.12 94.3 0.12 0 0.33 84.9 0.16 18.4 0.16 0 0.16 63.2 0.16 0 0.16 24.75 0.16 0 0.16 73.3 0.16 92.3 0.16 0 0.16 73.3 0.16 53.45 0.16 52.55 0.16 37.4 0.16 23.075 0.16 0 0.16 97.2 0.22 46.75 2.07 33.1 2.07 0 2.07 44.63333333 2.07 11 2.07 84.3 2.07 0 2.07 0 2.07 52.9 2.07 0 2.07 91.6 2.07 99.2 2.07 0 2.07 0 2.07 42.2 2.07 47.03333333 2.07 41 2.07 87.23333333 0.11 32.45 0.11 30.65 0.24 58.2 0.24 53.5 0.24 0 0.24 58.2 0.24 0 0.24 74.7 0.24 72.3 0.24 63.2 0.10 0 0.10 0 0.10 43.3 0.10 33.1 0.07 0 0.07 49.95 0.09 20.5 0.09 53.8 0.13 21.9 0.13 44.5 0.13 55.75 0.26 49.1 0.26 0 0.26 26 0.26 21.9 0.26 37.8 0.26 52.9 0.26 0 0.26 85.36666667 0.26 63.8 0.26 0 0.26 99.3 0.26 0 0.41 83.2 0.41 0 0.41 0 0.41 0 0.41 22.75 0.41 25.525 0.41 60.8 0.14 3.4 0.14 96.4 0.14 0 0.25 67.86 0.25 83.2 0.25 0 0.25 52.9 0.25 0 0.25 62.7 0.25 69.65 0.25 0 0.25 21.63333333 0.25 43.4 0.25 32.35 0.25 55.65 0.25 0 0.25 0 0.25 0 0.25 96.7 0.25 0 0.25 21.55 0.25 21.63333333 0.25 99.2 0.25 96.7 0.25 0 0.25 25.45 0.25 58.2 0.25 0 0.14 15.15 0.14 0 0.14 99.5 0.33 45.5 0.33 11 0.33 0 0.33 0 0.33 71.63333333 0.33 0 0.33 24.7 0.33 43.4 0.33 65.3 0.23 0 0.23 0 0.10 44.4 0.18 36.55 0.17 21.7 0.34 47.85 0.34 0 0.34 80.75 0.34 21.7 0.34 31.63333333 0.34 33.1 0.34 41.65 0.34 33.1 0.34 0 0.34 52.55 0.34 57.7 0.34 0 0.34 83.85 0.13 17.3 0.16 0 0.43 97.2 0.16 47.2 0.16 0 0.16 59.3 0.07 30.3 0.07 0 0.21 26.5 0.21 0 0.32 0 0.12 29.75 0.15 84.3 0.12 0 0.12 32.7 0.12 33.95 0.21 47.9 0.93 46.9 0.93 17.2 0.93 0 0.93 83 0.93 68.35 0.93 59.5 0.93 46.45 0.12 0 0.12 59.3 0.12 91.86666667 0.12 40.8 0.12 20.4 0.12 40.3 0.12 41.9 0.12 0 0.12 62.45 0.12 0 0.12 24 0.12 0 0.12 0 0.11 0 0.11 50.9 0.05 30.75 0.17 0 0.17 25.55 0.17 0 0.17 99.8 0.17 99.3 0.17 99.8 0.11 0 0.11 0 0.11 61.5 0.11 0 0.28 0 0.28 65.2 0.82 49.1 0.82 0 0.82 64.9 0.82 42.95 0.82 0 0.82 30.3 0.82 65.8 0.82 63.76666667 0.41 34.63333333 0.41 76.8 0.41 25 0.41 95.7 0.41 0 0.41 87.3 1.15 33.1 1.15 63.2 1.15 49.1 1.15 71.83333333 1.15 88.2 1.15 14 1.15 88.2 1.15 66.9 1.15 44.4 1.15 47.2 1.15 98.6 1.15 32.85 1.15 0 0.11 52.06666667 0.11 81.3 0.11 81.3 0.11 59 0.41 0 0.41 49.4 0.41 60.55 0.41 87.4 0.41 96.5 0.69 84.3 0.69 0 0.69 44.1 0.69 96.7 0.69 97.2 0.58 60.35 0.58 98.8 1.81 64.7 1.81 39.75 1.81 62 1.81 91.5 1.81 26.3 0.39 72.8 0.39 93 0.39 57.36666667 0.15 86.8 0.15 42.3 0.15 79 0.15 96.4 0.15 44.05 0.15 37.8 0.15 24.85 0.15 0 0.15 0 0.15 96.4 0.15 39.83333333 0.42 65.25 0.42 0 0.42 0 0.42 44.4 0.17 12.13333333 0.18 0 0.18 20.9 0.18 65.2 0.18 50.53333333 0.18 54.4 0.19 18.4 0.19 16.64 0.19 26.1 0.19 6.133333333 0.17 0 0.15 99.7 0.15 0 0.15 43.1 1.03 48.35 1.03 57.7 1.03 89 0.12 47.65 0.12 22.7 0.86 23.3 0.86 0 0.86 94.4 0.86 0 0.86 0 0.86 86 0.86 32.86666667 0.86 37.8 0.86 96.7 0.86 52.9 0.86 77.55 0.86 51.6 0.86 0 0.86 92 0.86 58 0.86 91.5 0.86 18.85 0.86 57.86666667 0.30 0 0.30 0 0.30 0 0.30 52.2 2.24 36.3 2.24 91.16666667 2.24 24.85 2.24 91.5 2.24 94.13333333 0.49 73.5 0.49 28.93333333 0.49 49.5 0.49 55 0.35 59.4 0.35 56.4 0.43 81.7 0.43 0 0.43 44.05 0.43 0 0.43 79.2 0.43 0 0.43 49.1 0.45 0 0.45 0 0.45 27 0.46 73.3 0.46 28.7 0.46 99.2 0.46 98.6 0.46 30.3 0.46 39.3 0.46 91.6 0.46 91.2 0.25 22.75 0.25 36.96666667 0.25 0 0.25 53 0.25 0 0.25 0 0.25 34.15 0.28 15.15 0.39 0 0.39 15.7 0.39 32 0.39 0 0.40 66.65 0.64 63.6 0.64 52.9 0.64 21 0.64 37.7 0.64 0 0.64 31 0.64 37.7 0.64 95.3 0.85 76.8 0.85 22.75 0.85 61.5 0.85 22.75 0.85 0 0.85 23.55 0.85 97.2 0.85 69.6 0.85 79.45 0.85 0 0.42 53 0.42 48.2 0.39 84.3 0.42 35.05 0.42 84.96666667 0.91 0 0.91 0 0.91 81.1 0.91 28.86666667 0.91 91.5 0.91 69.6 0.91 90.9 0.91 54.4 0.91 90.9 0.91 64.7 0.91 96.5 0.29 93.3 0.29 53.5 0.37 49.95 0.35 0 0.35 16.56666667 0.35 53.5 0.35 32 0.35 53.5 0.99 87.8 0.99 68 0.39 70.1 0.39 58.8 0.39 80.9 0.39 59 0.87 49.93333333 0.87 0 0.87 0 0.87 70.025 0.87 0 0.87 16 0.87 0 0.87 0 0.87 0 0.25 0 1.91 30.9 1.91 0 1.91 52.9 1.91 75 1.91 0 1.91 46.5 1.91 97.3 1.91 10.1 1.91 0 1.91 0 1.91 0 1.91 29.36666667 1.91 11.1 1.91 0 1.91 85.46666667 1.91 97.2 0.65 85 1.00 0 1.00 48 1.00 82.5 1.00 62.7 1.00 0 1.00 0 1.00 24 1.00 0 1.00 37.8 1.00 94.8 1.00 0 1.00 0 1.00 33.1 1.00 81.7 1.00 30.75 1.00 69.1 1.00 0 0.74 61.5 0.20 61.5 0.74 29.1 0.74 29 0.28 31.8 0.25 36.1 0.25 47.45 0.25 58.45 0.30 74.8 0.30 0 1.37 85.7 1.37 39.1 1.37 86 1.37 64.7 1.37 85.86666667 1.37 52.75 1.37 74.9 1.37 0 1.37 49.9 1.37 0 1.37 85.7 1.37 98.1 1.37 74.86666667 1.37 47.1 1.37 85.06666667 1.37 91.2 1.37 99.2 1.37 31 1.37 49.86666667 1.37 99.3 0.54 96.7 0.54 69.85 0.54 32.35 0.54 0 0.54 99.8 0.54 70.325 0.60 32 2.28 0 2.28 58.3 2.28 42.05 2.28 57.7 2.28 0 2.28 0 2.28 82.7 2.28 36.4 2.28 0 2.28 84.3 0.29 25.4 0.29 10.4 0.29 0 0.29 94.45 0.68 52.9 0.68 68.4 0.68 52.9 0.68 98.4 0.94 81.7 0.94 70.55 0.94 84.6 0.94 72.7 0.94 98.6 0.94 0 0.13 0 0.90 27 0.90 75 0.90 53.76666667 0.90 80.5 0.90 86.8 0.90 90.6 0.90 99.46666667 0.90 99.75 0.90 73.5 0.71 45.5 0.74 62.85 0.74 39.55 0.53 47.1 0.53 59 0.53 0 0.38 43.4 0.48 14 0.75 22 0.34 61.14 0.34 0 0.34 97.2 0.34 0 0.34 61.14 0.34 49.5 0.34 0 0.34 47.2 0.34 37.63333333 0.34 57.6 0.41 65.3 0.41 97.2 0.41 61.3 0.41 0 3.26 66.4 3.26 98.6 3.26 70.93333333 0.91 28.66666667 0.91 33 1.17 95.7 1.20 81.7 1.20 0 1.20 97.2 1.20 97.2 1.20 97.2 1.20 81.7 1.20 0 1.20 58.2 1.20 66.5 0.57 99.2 1.18 70.75 1.18 0 2.59 81.4 2.59 70.05 2.59 96.7 2.59 88.75 1.18 0 1.18 35.6 1.18 69.6 2.59 63.63333333 2.59 0 2.59 99.76666667 2.59 49.35 2.59 0 2.59 98.46666667 2.59 51.83333333 2.59 97.25 2.59 97.9 1.18 25.55 2.59 50.33 0.45 0 0.45 56.8 0.45 99.2 0.45 75.4 1.88 59 1.88 99.1 1.88 69.6 1.88 0 1.88 0 1.88 90.9 1.88 69.6 1.88 59 1.88 0 1.88 98.3 1.88 84.3 1.88 88 1.88 21.75 1.88 44.1 1.88 88.05 1.88 49.05 1.88 0 0.57 51.5 0.57 0 0.57 96.95 0.69 61.3 0.69 90.85 0.83 81.7 0.83 94.4 0.83 94.4 0.83 98.7 0.83 96.7 0.83 48.6 0.83 81.7 0.83 91.5 0.83 0 0.83 98.93333333 0.83 99.7 0.83 27.5 0.91 97.2 0.91 97.2 0.91 0 0.91 0 0.91 92.3 0.91 20.325 0.91 41.25 1.48 73.4 1.48 92.1 1.48 73.4 1.48 63.2 1.48 35.26666667 1.48 43.1 1.48 76.93333333 1.48 23.55 1.48 58.2 1.48 97.2 1.48 84.9 1.48 83.2 1.48 0 1.48 36.7 1.48 97.9 1.48 84.03333333 1.48 58.66666667 1.48 47.2 1.48 98.5 1.48 99.2 1.98 72.6 1.98 17.9 1.98 73.3 1.98 40.05 1.98 0 1.98 0 1.98 32 1.98 27.35 1.98 23.95 1.34 98.85 1.00 0 1.00 97.2 1.00 91.5 1.00 48.25 1.00 99.7 1.00 98.75 1.00 63.2 2.11 72.05 2.11 47.85 2.11 13.5 2.11 99.9 2.11 36.3 2.11 49.1 2.11 98.76666667 2.11 91.55 2.11 28 2.11 10.8 2.11 70.5 2.11 41.6 2.11 80.3 2.11 42.6 2.11 81.75 2.11 99.2 2.11 25.13333333 2.11 34.9 2.11 47.2 2.11 0 2.11 93.5 2.11 60.6 2.11 64.75 2.11 49.4 0.34 46.26666667 0.34 96.4 0.90 53.03333333 0.90 0 0.90 90.1 0.90 91.5 0.90 79.4 0.38 83.73333333 0.38 0 0.64 0 0.64 0 0.64 0 2.33 25.8 2.33 21 2.33 0 2.33 99.9 2.33 21.55 2.33 99.9 2.33 91.1 2.33 70.8 2.33 68.4 0.81 64.9 0.81 65.1 0.81 32.23333333 0.81 51.4 0.81 21 0.81 0 0.81 67.8 1.65 98.6 3.44 80.2 3.44 39.85 3.44 26.45 3.44 23.55 3.44 34.73333333 3.44 67.85 3.44 97.7 3.44 44.5 3.44 67.15 3.44 23.55 3.44 99.8 3.44 30.1 3.44 91.5 3.44 49.85 3.44 34.66666667 3.44 49.85 0.69 81.7 0.69 21 0.69 81.7 2.42 66.53333333 2.42 43.8 2.42 75.66666667 2.42 99.15 2.42 89.9 2.42 65.75 2.42 98.5 2.42 98.6 2.42 0 2.59 83.2 2.59 0 2.59 0 2.59 62 3.76 84.6 3.76 97.73333333 3.76 64.6 3.76 63.53333333 3.76 99.45 3.76 70.26666667 3.76 96.16666667 3.76 87.3 0.82 31.46666667 13.40 30 13.40 0 13.40 97.2 13.40 96.5 13.40 77.9 13.40 85 13.40 0 13.40 22.25 13.40 63.2 13.40 0 13.40 26.33333333 13.40 54.4 13.40 49.95 13.40 98.5 13.40 99.7 13.40 99.7 13.40 91.25 13.40 66.6 13.40 0 13.40 94.4 13.40 0 13.40 0 13.40 97.9 13.40 98.1 13.40 99.8 13.40 97.2 13.40 0 13.40 62.05 13.40 99.23333333 13.40 0 13.40 93.56666667 13.40 95.3 13.40 78.05 13.40 99.9 13.40 95.3 13.40 99.775 13.40 93.525 13.40 89.9 13.40 87.9 13.40 96.4 13.40 78.05 13.40 97.2 13.40 92.46666667 13.40 58.725 13.40 89.25 6.04 47.3 6.04 97.96666667 6.04 0 6.04 81.4 6.04 49.85 6.04 49.86666667 6.04 83.5 6.04 99.06666667 6.04 99.9 6.04 88.8 6.04 28.96666667 5.25 99.7 5.25 98.6 5.25 59.9 5.25 90.275 5.25 96.16666667 5.25 86.6 5.25 84.05 6.78 16.64 6.78 99.36666667 6.78 98.93333333 6.78 96.56666667 6.78 96.075 6.78 97.05 6.78 97.2 2.59 53.93333333 2.59 83.8 2.59 90.6 2.59 99.8 2.59 99.7 2.59 70.33333333 2.59 27.5 2.59 86.33333333 6.03 49.6 6.03 90.9 6.03 95.3 6.03 96.63333333 6.03 99.8 5.99 0 5.99 99.8 5.99 49.05 5.99 84.06666667 5.99 49.6 5.99 99.8 5.99 99.45 5.99 79.88 5.99 91.3 5.99 99.56666667 5.99 96.75 2.47 97.2 3. (15 marks) Academics present their research at conferences to get feedback before trying to publish their work in journals. Respectable academics try to get published in good journals. There is a lot of debate about different measures of journal quality but one is the Normalized Eigenfactor. As you likely know there are many rankings of universities. Several are published by a publication called Times Higher Education (THE), On Moodle, you will find a file containing information on papers presented at 2010-2011 economics conferences which were published in journals that have Normalized Eigenfactors (not all journals have Eigenfactors). It also contains information on the mean Citation Score of the author's universities is based on the 2015 THE rankings (mean, because different coauthors may be from different universities). Your job is to use Excel to run a regression to test the hypothesis that there is a relationship between the quality of the universities authors are from and the quality of journal they publish in (ie, university rank causes Normalized Eigenfactor). Attach a copy of the Excel output to your answer. However, you still need enough of a written answer to show you understand what Excel is telling you. Use a- 001.

Explanation / Answer

P- value of ANOVA is less than 0.05. So at 5% significance level there is a significant relationship between two variables.

Equation is

C - mean score = 43.957+2.760*Normalised Eigenfactor

R Square is 0.05. So only 5% of the variance in c-mean score is explained by the variance in Normalised Eigen factor

SUMMARY OUTPUT Regression Statistics Multiple R 0.232064 R Square 0.053854 Adjusted R Square 0.052821 Standard Error 34.30811 Observations 918 ANOVA df SS MS F Significance F Regression 1 61368.6 61368.6 52.13778 1.09E-12 Residual 916 1078175 1177.047 Total 917 1139543 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 43.95714 1.318589 33.3365 3.4E-160 41.36933 46.54495 41.36933 46.54495 Normalized Eigenfactor 2.760961 0.38237 7.22065 1.09E-12 2.010537 3.511384 2.010537 3.511384

Related Questions

Navigate

• Browse (All)
• Browse N
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.