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International Journal of Multidisciplinary Education and Research
71
International Journal of Multidisciplinary Education and Research
ISSN: 2455-4588; Impact Factor: RJIF 5.12
www.educationjournal.in
Volume 2; Issue 2; March 2016; Page No. 71-73
Construction and validation of e-learning resources access scale (ELRAS)
S Raja kumar, P Pachaiyappan
Assistant Professor, GRT College of Education, Tiruttani, Thiruvallur District, Tamilnadu, India
Abstract
The purpose of the present study is to develop and validate a Scale to measures student E-Learning Resources Access. The author
undertook the following steps to build the scale: Developing a preliminary draft, Tryout, reliability and validity, Item analysis and
Final draft of the scale. The Scale was administered to 110 Arts and Science College students enrolled in Under Graduate courses
from Thiruvallur and Vellore Districts of Tamilnadu. The results of the study revealed that the E-Learning Resources Access Scale
(ELRAS) has high level of reliability and validity.
Keywords: E-learning resources access Scale, Under Graduate students, Arts and Science students, Item analysis, reliability, validity.
Introduction
As the utilize of e-learning is becoming more and more
widespread in higher education it has become increasingly
important to examine the impact that this learning style has on
student’s performance. An e-resource is any information supply
that the access to in an electronic arrangement. Many of the
peoples subscribe to countless electronic information resources
in classify to make available with access to at no cost or charge.
E-resources include lots of things: full-text journals,
newspapers, company information, dictionaries, e-books, trade
and industry data, encyclopedias, industry profiles, digital
images, career information, market research, etc.
Advances in technology are becoming most significant part of
the learning and teaching all over the universal. It is across the
world thought that new technologies can make a big difference
in education. In particular, students can interact with new media,
and improve their skills, knowledge, and perception of the
world, under their teachers’ monitoring, of course. E-learning
for the instance, is the computer and network-enabled transfer of
skills and knowledge. E-learning applications and processes
include Web-based learning, computer-based learning, virtual
education opportunities and digital collaboration. Content is
delivered via the Internet, intranet/extranet, audio or video tape,
satellite TV, Android / ios mobile phone, tablet, and CD-ROM.
It can be self-paced or instructor-led and includes media in the
form of text, image, animation, streaming video and audio.
Many supporters of e-learning believe that everyone must be
equipped with basic knowledge in technology, as well as use it
as a medium to reach a particular goal (Jayant Deshpande, 2015)
[6]
.
In the context of the wider education community, the use of the
term e-learning has historically had wider connotations that
embrace a diverse range of practices, technologies, and
theoretical positions. It is not only focused on online contexts
and includes the full range of computer – based learning plot
forms and delivery methods, games, formats, and media such as
multimedia, educational programming, simulations, games and
the use of new media on fixed and mobile plat forms across all
discipline areas. It is often characterized by active learner-
centered pedagogies (Hard, 1991; McDougall & Betts, 1997).
Review of Related Literature
Anisur Rahman (2011) studied Challenges for International
Students in Using Electronic Resources in the Learning Centre
it is found that students from countries closely culturally related
to Norway are more familiar or apt with library environment and
teaching style than students from countries culturally distant
from Norway. It is significant that library anxiety or barriers
with staff, judging from the results of the interviews, were
absent. The students overwhelmingly confirmed that they were
happy with the assistance of library staff and that they were
comfortable with using the 24/7 computer availability, printing
and drop box facilities for return the borrowed items.
Nu’man M. Al-Musawi (2014) [9]
Developed and Validated of a
Scale to Measure Student Attitudes Towards E-learning The
Scale was administered to 200 students enrolled in e-learning
courses at the Universities of Bahrain and Kuwait. The results
of the study demonstrated high levels of validity and reliability
of the developed measure.
Signe Schack Noesgaard and Rikke Orngreen (2015) studied the
Effectiveness of E-Learning: An Explorative and Integrative
Review of the Definitions, Methodologies and Factors that
Promote e-Learning Effectiveness. E-Learning and traditional
face-to face learning should be measured according to the same
definitions of and approaches to effectiveness, ending with a call
for learning designers and researchers to target their
measurement efforts to counting what counts for them and their
stakeholders.
D. H. Kisanga and G. Ireson (2016) [7]
develop and validated the
study Test of e-Learning Related Attitudes (TeLRA) scale:
Development, reliability and validity study. The results reveals
that the development and validation of a scale of teachers’
attitude to e-learning. Whilst being initially developed to assess
the attitude of teachers in HLIs the authors belief, having piloted
with pre-service trainee teachers in England that the scale
transfers across national boundaries. The final instrument
contains 37 items with a Cronbach alpha score of 0.857.
Although the developed attitude scale was intended for use in
HLIs, it can also be of interest to researchers investigating
attitudes on other sectors.
International Journal of Multidisciplinary Education and Research
72
Statement of the Problem
A number of e-learning initiatives have been put in place to
assist in the development training and use of electronic
resources. Hence the Present study stated as Construction and
Validation of E-Learning Resources Access Scale (ELRAS).
Need and Significance of the Study
In the 21st
century is regarded as technological century all
information’s are stored in the clouds. So that access an
electronic resource for collecting the information is necessary
for every learner. The students how much they are access the e-
learning resources for their academic purposes and it may be
facilitate to their learning and academic performance.
Technology is a mediator of change and major technological
innovations can result in entire paradigm shifts. The
technological revolution poses terrific challenges to the
educators to change their basic system of belief, to apply
technology in creative way to redesign learning in education.
After affecting extensive changes in the way people
communicate and do business, the Internet is poised to bring
about a paradigm shift in the way people learn. Now-a day’s
anywhere, anytime education is possible. The practice of
providing education with the help of modern technologies is
termed as e-Learning. It is dynamic, operates in real time,
empowering, individual and comprehensive, effective and
quick. E-learning resources is a combination of content and
instructional methods delivered by media elements such as
words and graphics on a computer intended to build job-
transferable knowledge and skills linked to individual learning
goals or organizational performance. The Major benefit of e-
Learning resources is that it is eco-friendly because it takes place
in a virtual environment and thus avoids travelling and reduces
the usage of papers. The learners are well aware of the E-
Learning Resources Access ways then only the learners like
students, teachers and others will be enormously benefited in the
future. Developing the positive attitude E-Learning Resources
Access of students and teachers is the need of the technological
era.
Objective
To construct and to validate a new Scale namely, the E-Learning
Resources Access Scale (ELRAS)
Sample
The data of the sample as many as 110 college students studying
in the Arts and science colleges in Thiruvallur and Vellore
district of Tamilnadu, India. Random sampling technique has
been used in the process of data collection from the sample.
Method of the Study
Normative survey method has been used in the present study.
Tools Description
The pilot study was conducted 110 college students studying in
the Arts and science colleges in Thiruvallur and Vellore district
of Tamilnadu, India. Random sampling technique has been used
in the process of data collection. Before conducting pilot study
the researcher got the permission to the principles of the various
arts and science colleges. This tool available to measure the E-
Learning Resources Access constructed and validated by the
investigators. The tool ELRAS in the construction of the four
point rating scale is the collection of a data from undergraduate
arts and science college students. Initially the scale consists of
41 statements revealing the E-Learning Resources Access. The
research tool was given to the experts in the field of Educational
technology and ICT. According to the expert opinion and pilot
study some of the items were modified and re structured final
draft of the scale.
The next step in the construction and validation of E-Learning
Resources Access Scale after pilot study is to find out Item-Total
Statistics value of each statement which forms the basis for item
selection in order to buildup the final Scale. The pilot study item
analysis, 37 items were selected for the final draft of the scale
and 4 items were subject to rejected.
The Scale scored the response to each statement on a ranging
from “Always” “often” “sometime” “Never”. The different
points on the Scale are allotted subjective weights.
For example
4, 3, 2 and 1 scored as “Always” response to “Never” for the
positive statements respectively.
Construction of E-Learning Resources Access Scale
Table 1: Item-Total Statistics
Question
Numbers
Mean
if Item
Deleted
Variance
if Item
Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if
Item
Deleted
Remarks
Q1 89.69 379.390 0.597 0.905 Selected
Q2 90.10 377.210 0.642 0.904 Selected
Q3 89.75 375.880 0.671 0.904 Selected
Q4 89.91 374.817 0.635 0.904 Selected
Q5 89.85 378.829 0.599 0.905 Selected
Q6 89.40 378.389 0.548 0.905 Selected
Q7 89.08 388.920 0.252 0.909 Selected
Q8 89.71 376.227 0.556 0.905 Selected
Q9 89.95 380.172 0.515 0.905 Selected
Q10 89.69 384.216 0.380 0.907 Selected
Q11 90.08 382.369 0.426 0.907 Selected
Q12 89.33 388.057 0.275 0.908 Selected
Q13 89.95 379.989 0.537 0.905 Selected
Q14 89.73 383.136 0.417 0.907 Selected
Q15 88.71 406.025 0.153 0.913 Rejected
Q16 89.45 396.305 0.060 0.912 Rejected
Q17 90.15 389.104 0.253 0.909 Selected
Q18 89.72 382.039 0.444 0.906 Selected
Q19 89.60 380.591 0.425 0.907 Selected
Q20 89.96 378.494 0.583 0.905 Selected
Q21 89.79 382.699 0.386 0.907 Selected
Q22 89.72 374.645 0.586 0.904 Selected
Q23 89.82 378.389 0.516 0.905 Selected
Q24 89.91 378.946 0.438 0.906 Selected
Q25 89.76 374.953 0.556 0.905 Selected
Q26 89.62 381.669 0.470 0.906 Selected
Q27 89.72 371.727 0.637 0.904 Selected
Q28 89.60 377.380 0.508 0.905 Selected
Q29 89.66 376.574 0.540 0.905 Selected
Q30 89.40 375.123 0.589 0.904 Selected
Q31 89.49 375.977 0.588 0.904 Selected
Q32 89.54 379.499 0.438 0.906 Selected
Q33 89.76 379.595 0.501 0.906 Selected
Q34 89.68 388.164 0.283 0.908 Selected
Q35 88.82 405.398 0.131 0.914 Rejected
Q36 89.45 380.617 0.443 0.906 Selected
Q37 89.76 385.100 0.316 0.908 Selected
Q38 89.31 379.812 0.469 0.906 Selected
Q39 89.51 378.601 0.483 0.906 Selected
Q40 89.45 382.690 0.424 0.907 Selected
Q41 88.59 406.281 0.170 0.913 Rejected
International Journal of Multidisciplinary Education and Research
73
By investigating the item-total correlation, the results reveals
that the correlations of items 15, 16, 35 and 41 with the overall
exam are 0.153, 0.060, 0.131 and 0.170, while all other items
correlate at 0.25 or better. By investigating the inter item
correlations, the results exert that again items 15, 16, 35, and 41
are significantly lower than the rest of the items. Finally, by
exploring the alpha if deleted, we can see that the reliability of
the scale (alpha) would increase to 0.909 if any of these four
items were to be deleted. Thus, we would probably delete these
four items from this Scale.
There is a spurious positive contribution to the correlation
between an item and the total Scale score which arises because
the total score contains the particular item score, although there
are usually sufficient items in most tests to make this effect quite
small. The E-Learning Resources Access Scale in the item
analysis give correlation coefficients corrected for this effect.
This is the correlation between scores on each item and the total
scores on the other items.
Interpreting the scores
• above 0.3 is considered ‘good’;
• 0.2 to 0.3 is considered ‘workable’
• below 0.2 is considered unacceptable
Item discrimination of above 0.3 is considered ‘good’. A
discrimination of 0.2 to 0.3 is considered ‘workable’ while a
discrimination of below 0.2 is considered unacceptable. (Falvey
et al, 1994: 126ff) [2]
Falvey P, Holbrook J. & David C. (1994)
[2]
.
Table 2: Reliability and Validity Statistics
Cronbach's Alpha
Cronbach's Alpha
Based on
Standardized Items
No. of Items
0.909 0.911 41
From the above table 1, In order to establish reliability
Chronbach Alpha reliability coefficient of E-Learning
Resources Access Scale was calculated to be 0.909. The intrinsic
validity coefficient was established by taking the square root of
reliability coefficient which is 0.953. Thus the tool is found to
be highly reliable and valid.
Generally, a questionnaire with a Cronbach's Alpha is 0.8 is
considered reliable (Field, 2009) [4]
. Hence, this questionnaire
certainly is reliable, since the Cronbach's Alpha is 0.909. The
resulted Cronbach's Alpha should yet be interpreted with
caution. Since the amount of items in a questionnaire is taken
into account in the equation, a high amount of variables can
upgrade the Cronbach's Alpha (Cortina, 1993; Field, 2009) [4]
.
Conclusion
The present study was aimed to develop and validate a scale to
measures E-Learning Resources Access of undergraduate
students. It is given that the designed measure has proved to have
good psychometric properties; it can serve as a useful tool to
assess E-learning resources access attitude of college students in
Thiruvallur and Vellore districts. The constructed scale satisfied
with E-Learning Resources Access as an effective alternative to
traditional, teacher-centered classroom learning. As a result, the
construction of this tool to assess the student’s E-learning is
considered an important step in achieving quality assessment
and improving teaching and learning. The study covers various
aspects of E-learning resources available in the web. The final
draft of the scale has high level estimates of reliability and
validity.
References
1. Best, John W. Research in Education. New Delhi. Prentice
Hall of India. 1963.
2. Falvey P, Holbrook J, David C. Assessing students.
Longman: Hong Kong. 1994.
3. Field A. Research Methods II: Reliability Analysis.
Retrieved from The University of Sussex Web site:
http://www.sussex.ac.uk/Users/andyf/reliability.pdf. 2006.
4. Field A. Discovering Statistics using SPSS. Sage: London.
2009.
5. Garrett HE. Statistics in psychology and education. Vakils,
Feffer and Simons Ltd., Bombay. 1973.
6. Jayant Deshpande. Importance of E-Resources for Libraries
and Information Centers. European Academic Research.
2(10), 2015.
7. Kisanga DH, Ireson G. Test of e-Learning Related Attitudes
(TeLRA) scale: Development, reliability and validity study.
International Journal of Education and Development using
Information and Communication Technology (IJEDICT).
2016; 12(1):20-36.
8. Noesgaard SS, Orngreen R. The Effectiveness of E-
Learning: An Explorative and Integrative Review of the
Definitions, Methodologies and Factors that Promote e
Learning Effectiveness” The Electronic Journal of e-
learning. Volume 13 Issue 4, (pp278-290) available online
at www.ejel.org.
9. Nu’man M, Al-Musawi. Development and Validation of a
scale to Measure Student Attitudes Towards E-learning.
International Journal of Teaching and Teacher
Education. 2014; 2(1):1-12.
10. Perez Cereijo MV. Attitude as Predictor of Success in
Online Training. International Journal on E-Learning, 2004;
5(4):623-639. Chesapeake, VA: Association for the
Advancement of Computing in Education (AACE)
11. http://seamonkey.ed.asu.edu/~alex/teaching/assessment/al
pha.html
12. http://pages.infinit.net/rlevesqu/Syntax/ItemAnalysis/Usin
gSPSSforItemAnalysis.pdf

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Construction and validation of e-learning resources access scale (ELRAS)

  • 1. International Journal of Multidisciplinary Education and Research 71 International Journal of Multidisciplinary Education and Research ISSN: 2455-4588; Impact Factor: RJIF 5.12 www.educationjournal.in Volume 2; Issue 2; March 2016; Page No. 71-73 Construction and validation of e-learning resources access scale (ELRAS) S Raja kumar, P Pachaiyappan Assistant Professor, GRT College of Education, Tiruttani, Thiruvallur District, Tamilnadu, India Abstract The purpose of the present study is to develop and validate a Scale to measures student E-Learning Resources Access. The author undertook the following steps to build the scale: Developing a preliminary draft, Tryout, reliability and validity, Item analysis and Final draft of the scale. The Scale was administered to 110 Arts and Science College students enrolled in Under Graduate courses from Thiruvallur and Vellore Districts of Tamilnadu. The results of the study revealed that the E-Learning Resources Access Scale (ELRAS) has high level of reliability and validity. Keywords: E-learning resources access Scale, Under Graduate students, Arts and Science students, Item analysis, reliability, validity. Introduction As the utilize of e-learning is becoming more and more widespread in higher education it has become increasingly important to examine the impact that this learning style has on student’s performance. An e-resource is any information supply that the access to in an electronic arrangement. Many of the peoples subscribe to countless electronic information resources in classify to make available with access to at no cost or charge. E-resources include lots of things: full-text journals, newspapers, company information, dictionaries, e-books, trade and industry data, encyclopedias, industry profiles, digital images, career information, market research, etc. Advances in technology are becoming most significant part of the learning and teaching all over the universal. It is across the world thought that new technologies can make a big difference in education. In particular, students can interact with new media, and improve their skills, knowledge, and perception of the world, under their teachers’ monitoring, of course. E-learning for the instance, is the computer and network-enabled transfer of skills and knowledge. E-learning applications and processes include Web-based learning, computer-based learning, virtual education opportunities and digital collaboration. Content is delivered via the Internet, intranet/extranet, audio or video tape, satellite TV, Android / ios mobile phone, tablet, and CD-ROM. It can be self-paced or instructor-led and includes media in the form of text, image, animation, streaming video and audio. Many supporters of e-learning believe that everyone must be equipped with basic knowledge in technology, as well as use it as a medium to reach a particular goal (Jayant Deshpande, 2015) [6] . In the context of the wider education community, the use of the term e-learning has historically had wider connotations that embrace a diverse range of practices, technologies, and theoretical positions. It is not only focused on online contexts and includes the full range of computer – based learning plot forms and delivery methods, games, formats, and media such as multimedia, educational programming, simulations, games and the use of new media on fixed and mobile plat forms across all discipline areas. It is often characterized by active learner- centered pedagogies (Hard, 1991; McDougall & Betts, 1997). Review of Related Literature Anisur Rahman (2011) studied Challenges for International Students in Using Electronic Resources in the Learning Centre it is found that students from countries closely culturally related to Norway are more familiar or apt with library environment and teaching style than students from countries culturally distant from Norway. It is significant that library anxiety or barriers with staff, judging from the results of the interviews, were absent. The students overwhelmingly confirmed that they were happy with the assistance of library staff and that they were comfortable with using the 24/7 computer availability, printing and drop box facilities for return the borrowed items. Nu’man M. Al-Musawi (2014) [9] Developed and Validated of a Scale to Measure Student Attitudes Towards E-learning The Scale was administered to 200 students enrolled in e-learning courses at the Universities of Bahrain and Kuwait. The results of the study demonstrated high levels of validity and reliability of the developed measure. Signe Schack Noesgaard and Rikke Orngreen (2015) studied the Effectiveness of E-Learning: An Explorative and Integrative Review of the Definitions, Methodologies and Factors that Promote e-Learning Effectiveness. E-Learning and traditional face-to face learning should be measured according to the same definitions of and approaches to effectiveness, ending with a call for learning designers and researchers to target their measurement efforts to counting what counts for them and their stakeholders. D. H. Kisanga and G. Ireson (2016) [7] develop and validated the study Test of e-Learning Related Attitudes (TeLRA) scale: Development, reliability and validity study. The results reveals that the development and validation of a scale of teachers’ attitude to e-learning. Whilst being initially developed to assess the attitude of teachers in HLIs the authors belief, having piloted with pre-service trainee teachers in England that the scale transfers across national boundaries. The final instrument contains 37 items with a Cronbach alpha score of 0.857. Although the developed attitude scale was intended for use in HLIs, it can also be of interest to researchers investigating attitudes on other sectors.
  • 2. International Journal of Multidisciplinary Education and Research 72 Statement of the Problem A number of e-learning initiatives have been put in place to assist in the development training and use of electronic resources. Hence the Present study stated as Construction and Validation of E-Learning Resources Access Scale (ELRAS). Need and Significance of the Study In the 21st century is regarded as technological century all information’s are stored in the clouds. So that access an electronic resource for collecting the information is necessary for every learner. The students how much they are access the e- learning resources for their academic purposes and it may be facilitate to their learning and academic performance. Technology is a mediator of change and major technological innovations can result in entire paradigm shifts. The technological revolution poses terrific challenges to the educators to change their basic system of belief, to apply technology in creative way to redesign learning in education. After affecting extensive changes in the way people communicate and do business, the Internet is poised to bring about a paradigm shift in the way people learn. Now-a day’s anywhere, anytime education is possible. The practice of providing education with the help of modern technologies is termed as e-Learning. It is dynamic, operates in real time, empowering, individual and comprehensive, effective and quick. E-learning resources is a combination of content and instructional methods delivered by media elements such as words and graphics on a computer intended to build job- transferable knowledge and skills linked to individual learning goals or organizational performance. The Major benefit of e- Learning resources is that it is eco-friendly because it takes place in a virtual environment and thus avoids travelling and reduces the usage of papers. The learners are well aware of the E- Learning Resources Access ways then only the learners like students, teachers and others will be enormously benefited in the future. Developing the positive attitude E-Learning Resources Access of students and teachers is the need of the technological era. Objective To construct and to validate a new Scale namely, the E-Learning Resources Access Scale (ELRAS) Sample The data of the sample as many as 110 college students studying in the Arts and science colleges in Thiruvallur and Vellore district of Tamilnadu, India. Random sampling technique has been used in the process of data collection from the sample. Method of the Study Normative survey method has been used in the present study. Tools Description The pilot study was conducted 110 college students studying in the Arts and science colleges in Thiruvallur and Vellore district of Tamilnadu, India. Random sampling technique has been used in the process of data collection. Before conducting pilot study the researcher got the permission to the principles of the various arts and science colleges. This tool available to measure the E- Learning Resources Access constructed and validated by the investigators. The tool ELRAS in the construction of the four point rating scale is the collection of a data from undergraduate arts and science college students. Initially the scale consists of 41 statements revealing the E-Learning Resources Access. The research tool was given to the experts in the field of Educational technology and ICT. According to the expert opinion and pilot study some of the items were modified and re structured final draft of the scale. The next step in the construction and validation of E-Learning Resources Access Scale after pilot study is to find out Item-Total Statistics value of each statement which forms the basis for item selection in order to buildup the final Scale. The pilot study item analysis, 37 items were selected for the final draft of the scale and 4 items were subject to rejected. The Scale scored the response to each statement on a ranging from “Always” “often” “sometime” “Never”. The different points on the Scale are allotted subjective weights. For example 4, 3, 2 and 1 scored as “Always” response to “Never” for the positive statements respectively. Construction of E-Learning Resources Access Scale Table 1: Item-Total Statistics Question Numbers Mean if Item Deleted Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Remarks Q1 89.69 379.390 0.597 0.905 Selected Q2 90.10 377.210 0.642 0.904 Selected Q3 89.75 375.880 0.671 0.904 Selected Q4 89.91 374.817 0.635 0.904 Selected Q5 89.85 378.829 0.599 0.905 Selected Q6 89.40 378.389 0.548 0.905 Selected Q7 89.08 388.920 0.252 0.909 Selected Q8 89.71 376.227 0.556 0.905 Selected Q9 89.95 380.172 0.515 0.905 Selected Q10 89.69 384.216 0.380 0.907 Selected Q11 90.08 382.369 0.426 0.907 Selected Q12 89.33 388.057 0.275 0.908 Selected Q13 89.95 379.989 0.537 0.905 Selected Q14 89.73 383.136 0.417 0.907 Selected Q15 88.71 406.025 0.153 0.913 Rejected Q16 89.45 396.305 0.060 0.912 Rejected Q17 90.15 389.104 0.253 0.909 Selected Q18 89.72 382.039 0.444 0.906 Selected Q19 89.60 380.591 0.425 0.907 Selected Q20 89.96 378.494 0.583 0.905 Selected Q21 89.79 382.699 0.386 0.907 Selected Q22 89.72 374.645 0.586 0.904 Selected Q23 89.82 378.389 0.516 0.905 Selected Q24 89.91 378.946 0.438 0.906 Selected Q25 89.76 374.953 0.556 0.905 Selected Q26 89.62 381.669 0.470 0.906 Selected Q27 89.72 371.727 0.637 0.904 Selected Q28 89.60 377.380 0.508 0.905 Selected Q29 89.66 376.574 0.540 0.905 Selected Q30 89.40 375.123 0.589 0.904 Selected Q31 89.49 375.977 0.588 0.904 Selected Q32 89.54 379.499 0.438 0.906 Selected Q33 89.76 379.595 0.501 0.906 Selected Q34 89.68 388.164 0.283 0.908 Selected Q35 88.82 405.398 0.131 0.914 Rejected Q36 89.45 380.617 0.443 0.906 Selected Q37 89.76 385.100 0.316 0.908 Selected Q38 89.31 379.812 0.469 0.906 Selected Q39 89.51 378.601 0.483 0.906 Selected Q40 89.45 382.690 0.424 0.907 Selected Q41 88.59 406.281 0.170 0.913 Rejected
  • 3. International Journal of Multidisciplinary Education and Research 73 By investigating the item-total correlation, the results reveals that the correlations of items 15, 16, 35 and 41 with the overall exam are 0.153, 0.060, 0.131 and 0.170, while all other items correlate at 0.25 or better. By investigating the inter item correlations, the results exert that again items 15, 16, 35, and 41 are significantly lower than the rest of the items. Finally, by exploring the alpha if deleted, we can see that the reliability of the scale (alpha) would increase to 0.909 if any of these four items were to be deleted. Thus, we would probably delete these four items from this Scale. There is a spurious positive contribution to the correlation between an item and the total Scale score which arises because the total score contains the particular item score, although there are usually sufficient items in most tests to make this effect quite small. The E-Learning Resources Access Scale in the item analysis give correlation coefficients corrected for this effect. This is the correlation between scores on each item and the total scores on the other items. Interpreting the scores • above 0.3 is considered ‘good’; • 0.2 to 0.3 is considered ‘workable’ • below 0.2 is considered unacceptable Item discrimination of above 0.3 is considered ‘good’. A discrimination of 0.2 to 0.3 is considered ‘workable’ while a discrimination of below 0.2 is considered unacceptable. (Falvey et al, 1994: 126ff) [2] Falvey P, Holbrook J. & David C. (1994) [2] . Table 2: Reliability and Validity Statistics Cronbach's Alpha Cronbach's Alpha Based on Standardized Items No. of Items 0.909 0.911 41 From the above table 1, In order to establish reliability Chronbach Alpha reliability coefficient of E-Learning Resources Access Scale was calculated to be 0.909. The intrinsic validity coefficient was established by taking the square root of reliability coefficient which is 0.953. Thus the tool is found to be highly reliable and valid. Generally, a questionnaire with a Cronbach's Alpha is 0.8 is considered reliable (Field, 2009) [4] . Hence, this questionnaire certainly is reliable, since the Cronbach's Alpha is 0.909. The resulted Cronbach's Alpha should yet be interpreted with caution. Since the amount of items in a questionnaire is taken into account in the equation, a high amount of variables can upgrade the Cronbach's Alpha (Cortina, 1993; Field, 2009) [4] . Conclusion The present study was aimed to develop and validate a scale to measures E-Learning Resources Access of undergraduate students. It is given that the designed measure has proved to have good psychometric properties; it can serve as a useful tool to assess E-learning resources access attitude of college students in Thiruvallur and Vellore districts. The constructed scale satisfied with E-Learning Resources Access as an effective alternative to traditional, teacher-centered classroom learning. As a result, the construction of this tool to assess the student’s E-learning is considered an important step in achieving quality assessment and improving teaching and learning. The study covers various aspects of E-learning resources available in the web. The final draft of the scale has high level estimates of reliability and validity. References 1. Best, John W. Research in Education. New Delhi. Prentice Hall of India. 1963. 2. Falvey P, Holbrook J, David C. Assessing students. Longman: Hong Kong. 1994. 3. Field A. Research Methods II: Reliability Analysis. Retrieved from The University of Sussex Web site: http://www.sussex.ac.uk/Users/andyf/reliability.pdf. 2006. 4. Field A. Discovering Statistics using SPSS. Sage: London. 2009. 5. Garrett HE. Statistics in psychology and education. Vakils, Feffer and Simons Ltd., Bombay. 1973. 6. Jayant Deshpande. Importance of E-Resources for Libraries and Information Centers. European Academic Research. 2(10), 2015. 7. Kisanga DH, Ireson G. Test of e-Learning Related Attitudes (TeLRA) scale: Development, reliability and validity study. International Journal of Education and Development using Information and Communication Technology (IJEDICT). 2016; 12(1):20-36. 8. Noesgaard SS, Orngreen R. The Effectiveness of E- Learning: An Explorative and Integrative Review of the Definitions, Methodologies and Factors that Promote e Learning Effectiveness” The Electronic Journal of e- learning. Volume 13 Issue 4, (pp278-290) available online at www.ejel.org. 9. Nu’man M, Al-Musawi. Development and Validation of a scale to Measure Student Attitudes Towards E-learning. International Journal of Teaching and Teacher Education. 2014; 2(1):1-12. 10. Perez Cereijo MV. Attitude as Predictor of Success in Online Training. International Journal on E-Learning, 2004; 5(4):623-639. Chesapeake, VA: Association for the Advancement of Computing in Education (AACE) 11. http://seamonkey.ed.asu.edu/~alex/teaching/assessment/al pha.html 12. http://pages.infinit.net/rlevesqu/Syntax/ItemAnalysis/Usin gSPSSforItemAnalysis.pdf