Usage of E-learning sites among Ophthalmologists - An Opinion survey

Slides:



Advertisements
Similar presentations
Quntative Data Analysis SPSS Exploring Assumptions
Advertisements

Azra Rafique Khalid Mahmood. Introduction “To learn each and everything in a limited time frame of degree course is not possible for students”. (Mahmood,
Conceptual Review Conceptual Formula, Sig Testing Calculating in SPSS
Mean for sample of n=10 n = 10: t = 1.361df = 9Critical value = Conclusion: accept the null hypothesis; no difference between this sample.
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
Statistical Analysis SC504/HS927 Spring Term 2008 Week 17 (25th January 2008): Analysing data.
Lecture 9: One Way ANOVA Between Subjects
Copyright © 2014 Pearson Education, Inc.12-1 SPSS Core Exam Guide for Spring 2014 The goal of this guide is to: Be a side companion to your study, exercise.
Copyright © 2014 by McGraw-Hill Higher Education. All rights reserved.
Presented by Suchitra Chan-o Major Advisor Dr.Siripong Preutthipan Thesis.
Estimation and Hypothesis Testing Faculty of Information Technology King Mongkut’s University of Technology North Bangkok 1.
Two Sample Tests Ho Ho Ha Ha TEST FOR EQUAL VARIANCES
1 Tests with two+ groups We have examined tests of means for a single group, and for a difference if we have a matched sample (as in husbands and wives)
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
T-TEST Statistics The t test is used to compare to groups to answer the differential research questions. Its values determines the difference by comparing.
Mapping A Strategy to Attract the Politically Engaged Student to East Evergreen University Consultants: Elizabeth Goff Scott Gravitt Kim Huett Carolyn.
A Course In Business Statistics 4th © 2006 Prentice-Hall, Inc. Chap 9-1 A Course In Business Statistics 4 th Edition Chapter 9 Estimation and Hypothesis.
Arkansas Tech University
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 26.
Two Sample t test Chapter 9.
Independent t-Test CJ 526 Statistical Analysis in Criminal Justice.
Chapter 13 Multiple Regression
1 ANALYSIS OF VARIANCE (ANOVA) Heibatollah Baghi, and Mastee Badii.
The Single-Sample t Test Chapter 9. t distributions >Sometimes, we do not have the population standard deviation. (that’s actually really common). >So.
Instructors’ General Perceptions on Students’ Self-Awareness Frances Feng-Mei Choi HUNGKUANG UNIVERSITY DEPARTMENT OF ENGLISH.
Inferences Concerning Variances
1 Testing Statistical Hypothesis The One Sample t-Test Heibatollah Baghi, and Mastee Badii.
Copyright © Cengage Learning. All rights reserved. 12 Analysis of Variance.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
Jump to first page Inferring Sample Findings to the Population and Testing for Differences.
HYPOTHESIS TESTING FOR DIFFERENCES BETWEEN MEANS AND BETWEEN PROPORTIONS.
28th World Continuous Auditing & Reporting Symposium.
Introduction to Marketing Research
Testing the Difference between Means, Variances, and Proportions
Statistical Significance
Chapter 14 Introduction to Multiple Regression
Chapter 10 Two-Sample Tests and One-Way ANOVA.
Unit 8 Section 7.5.
Dr. Siti Nor Binti Yaacob
CHAPTER 11 CHI-SQUARE TESTS
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Department of public Library City Central Library, Mysore,
Estimation & Hypothesis Testing for Two Population Parameters
ANOVA (Chapter - 04/D) Dr. C. Ertuna.
i) Two way ANOVA without replication
Research Brief: Mapping A Strategy to Attract the Politically Engaged Student to East Evergreen University Consultants: Elizabeth Goff Scott Gravitt Kim.
Hypothesis Testing Review
Dr. Siti Nor Binti Yaacob
SPSS OUTPUT & INTERPRETATION
Chapter 5 Hypothesis Testing
CJ 526 Statistical Analysis in Criminal Justice
Two Way ANOVAs Factorial Designs.
Inferential Statistics
SPSS OUTPUT & INTERPRETATION
Hypothesis Testing Make a tentative assumption about a parameter
Chapter 11 Hypothesis Tests and Estimation for Population Variances
Two Categorical Variables: The Chi-Square Test
ONE-WAY ANOVA.
Chapter 13 Group Differences
CHAPTER 11 CHI-SQUARE TESTS
Goodness of Fit.
Parametric versus Nonparametric (Chi-square)
SPSS (Statistical Package for Social Science)
Session 2 Introduction to compare mean
CLASS 6 CLASS 7 Tutorial 2 (EXCEL version)
Effect of Sample size on Research Outcomes
Table 2. Regression statistics for independent and dependent variables
ANalysis Of VAriance Lecture 1 Sections: 12.1 – 12.2
© The Author(s) Published by Science and Education Publishing.
Table 4. Independent Samples Test Application of ICT by Gender
Presentation transcript:

Usage of E-learning sites among Ophthalmologists - An Opinion survey R. Govindarajan Research Scholar (LIS), Gandhigram Rural Institute – Deemed University, Gandhigram – 624 302, Dindigul Dt, Tamil Nadu, & Librarian, Aravind Eye Hospital & Postgraduate Institute of Ophthalmology, Madurai & Dr. S. Dhanavandan Assistant Librarian, Gandhigram Rural Institute – Deemed University, Gandhigram – 624 302, Dindigul Dt, Tamil Nadu dhanavandan@gmail.com

Introduction - E-learning E-learning have effectively used the technological developments and bestowed a new learning paradigm to the community. It barred up all the geographical restrictions in learning. It empowers the users a real time access and enable 24 * 7 round the clock learning. It cuts down the travel / accommodation costs associated in undertaking courses. It is flexible enough to cope up with individuals' learning speed by providing a freedom to roll back / roll forward the lessons. It also enables the individuals to relearn the lessons and effectively reuse the learning resources. The e-learning sites for professionals enable them to sharpen their knowledge and skills in their geographical region itself.

Problem Statement This particular study is part of the ongoing study “Information Needs, Sources and Seeking Behaviour of Ophthalmologists in Academic Eye Hospitals, India“. E-learning sites helps Ophthalmologists who are servicing to the community need not to relocate themselves from service for learning or updating their knowledge & skills. Thus e-Learning not only benefits the ophthalmic learners to update or upgrade their knowledge & skills and it also helps the community in getting a continuing service. A number of e-learning sites that are providing high-quality learning perpetually for Ophthalmologists are compiled through literature review Ophthalmologists are asked to record their response as whether they are using the sites and based on their responses ophthalmologists’ e-learning sites usage is measured

Objectives of the study To find out the popular e-learning sites used by the ophthalmologists To examine the pattern of e-learning sites usage by the ophthalmologists To examine the usage of e-learning sites among both male and female ophthalmologists To find out the usage of e-learning sites among all the age groups of ophthalmologists

Hypotheses of the study There exists no significant difference between the e-learning sites usage with gender There exists no significant difference between the e-learning sites usage with age group

Methodology Survey method is used in the study. A structured questionnaire is circulated to the ophthalmologists to record their usage on a dichotomous variable Questionnaires are randomly distributed among the ophthalmologists in Aravind Eye Hospital, Pondicherry and 39 ophthalmologists are responded they are using e-learning sites. The Mean (SD) and Frequency (Percentage) are represented for categorical and continuous variable. To examine whether there is any significant difference between two groups, t- test is used. ANOVA test is used to find out whether is there any mean difference between more than two groups. P-value less than 0.05 considered as statistically significant. Data collected was organized in Ms-Excel and analyzed through the SPSS software.

Ophthalmologists Demographics Characteristic Count Percentage Gender   Male 22 56.4% Female 17 43.6% Age group Less than or equal to 30 13 33.3% 31 to 40 19 48.7% 41 to 50 7 17.9% Total 39 Among the 39 ophthalmologists, 56.4% are male and of 43.6% are female. 33.3% of ophthalmologists in the age group less than or equal to 30. 48.7% of ophthalmologists are in the age group between 31 to 40. 17.9% of ophthalmologists are in the age group between 41 to 50.

Usage of e-learning sites among ophthalmologists Sno. E-learning site No. of ophthalmologists using the site Percentage Rank 1 Aurosiksha 18 46.2% 2 Eyerounds 13 33.3% 3 Cybersight from Orbis 8 20.5% 4 Webcasts: 2014 World Ophthalmology 5 ActioNed 7 17.9% 6 ESCRS Congress Online Foundation Assessment for ICO Exams QuantiaMD 15.4% 9 Free Diabetic Retinopathy Grading Course 10 Scientific Methodology in Cataract, Refractive and Corneal Surgery 11 Ophthalmic Edge 7.7%   Total no. of e-learning site usage 89 The result shows up that Aurosiksha is in the first rank and it is most popular site among ophthalmologists. 18 ophthalmologists are using Aurosiksha. Eyerounds secures the second rank by having 13 ophthalmologists’ users.

Pattern of e-learning sites usage No. of E-learning sites usage Ophthalmologists Count 1 14 2 8 3 10 4 6 5 The no. of e-learning sites usage per ophthalmologist is ranging from a single site to five different e-learning sites. 14 ophthalmologists have used only a single e-learning site in the list. 8 ophthalmologists have used two e-learning sites. 10 ophthalmologists have used three e-learning sites. 6 ophthalmologists have used four e-learning sites Only one ophthalmologist has used five e-learning sites.

Testing the Hypotheses Testing the Hypothesis 1: There exists no significant difference between the e-learning sites usage and gender Independent Samples Test   Levene's Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper E-learning sites usage score Equal variances assumed .085 .772 1.312 37 .197 .50000 .38098 -.27193 1.27193 Equal variances not assumed 1.314 34.739 .38044 -.27254 1.27254 The Mean (SD) of the score of Male and Female is 2.5 (1.185) and 2.0 (1.172) respectively. To find out the mean difference between the e-learning sites usage score and gender, t-test is used. P-value less than 0.05 is considered as statistically significant. The p-value (0.772) shows that there is no significant difference between the e-learning sites usage score with gender.

Testing the Hypotheses Testing the Hypothesis 2: There exists no significant difference between the e- learning sites usage and agegroup e-learning sites usage score   N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound Less than or equal to 30 13 2.1538 1.28103 .35529 1.3797 2.9280 1.00 4.00 31 to 40 19 2.2632 1.24017 .28451 1.6654 2.8609 5.00 41 to 50 7 2.5714 .97590 .36886 1.6689 3.4740 Total 39 2.2821 1.19095 .19070 1.8960 2.6681 ANOVA e-learning sites usage score   Sum of Squares df Mean Square F Sig. Between Groups .807 2 .403 .273 .762 Within Groups 53.091 36 1.475 Total 53.897 38 The Mean (SD) of the e-learning sites usage score of the age groups, Less than or equal to 30, 31 to 40, 41 to 50 are 2.15 (1.28), 2.26 (1.24) and 2.57 (0.97) respectively. To find out the mean difference between the e-learning sites usage score and age groups, ANOVA test is used. P-value less than 0.05 is considered as statistically significant. The p-value (0.762) shows that there is no significant difference between the e-learning sites usage score with age groups.

Conclusion The study results shows up that the Aurosiksha is the most popular e-learning site which holds the first rank and Eyerounds holds the second rank. The no. of e-learning sites usage per ophthalmologist is ranging from a single e-learning site to five different e-learning sites The p-value (0.772) shows that there is no significant difference between the e-learning usage with gender. The p-value (0.762) shows that there is no significant difference between the e-learning sites usage with age groups. E-learning sites benefits the all the ophthalmologist learners to update or upgrade their knowledge & skills invariable with gender and age group.

Thank You