<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Educational Research</journalTitle>
<eissn>2333-4770</eissn>
<publicationDate>2015-01-13</publicationDate>
<volume>3</volume>
<issue>1</issue>
<startPage>49</startPage>
<endPage>53</endPage>
<doi>10.12691/education-3-1-10</doi>
<publisherRecordId>EDUCATION20153110</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Multidimensional Reliability of Instrument for Measuring Students' Attitudes Toward Statistics by Using Semantic Differential Scale</title>
<authors>
<author>
<name>Gaguk Margono</name>
<email>gmargono@unj.ac.id</email>
<affiliationId>1</affiliationId>
</author>
</authors>
<affiliationsList>
<affiliationName affiliationId="1">Engineering Department, State University of Jakarta, Indonesia, Kampus UNJ, Jl. Rawamangun Muka, Rawamangun, Jakarta</affiliationName>

</affiliationsList>
<abstract language="eng">The purpose of this paper is to compare multidimensional and unidimensional reliability of instrument of students' attitude towards statisticsby using semantic differential scale. Few researches utilized multidimensional reliability measurement. Multidimensional reliability is calculated by using Confirmatory Factor Analysis (CFA) in Structural Equation Model (SEM) technique. The measurement and calculation described in this article deal with instrument of students' attitude towards statistics.This instrument has been tried out to 150 students. It is found that multidimensional reliability has higher accuracy compared to the unidimensional one. Perhaps various formulas applying multidimensional reliability would be used in future research.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/education/3/1/10/education-3-1-10.pdf</fullTextUrl>
<keywords language="eng"><keyword>multidimensional reliability</keyword>
<keyword>attitudes toward statistics using semantic differential scale</keyword>
<keyword>confirmatory factor analysis</keyword>
</keywords>
</record>
</records>
