@article{MAKHILLRJAS201813410087,
    title = {Crucial Role of Exploratory Data Analysis (EDA) in Assessing
Survey Instrument Reliability},
    journal = {Research Journal of Applied Sciences},
    volume = {13},
    number = {4},
    pages = {241-244},
    year = {2018},
    issn = {1815-932x},
    doi = {rjasci.2018.241.244},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2018.241.244},
    author = {Suzilah,Rosna Awang and},
    keywords = {Exploratory data analysis,survey instrument,reliability,Cronbachs alpha,exploratory factor analysis,NSSE},
    abstract = {Commonly, survey instrument reliability is achieved through Cronbach’s alpha and Exploratory
Factor Analysis (EFA). However, the existence of different values rule of thumb often creates confusion for
novice researchers. Thus, the study aims to investigate the crucial role of Exploratory Data Analysis (EDA) in
assisting the reliability testing of a survey instrument via. box plot to clearly understand the instrument’s items.
The instrument was adapted and adopted from well-established instrument of the National Survey of Student
Engagement (NSSE) which consists of 4 constructs, 13 dimensions and total of 59 items. The study focuses
on student-faculty interaction dimension which comprises 6 items. The finding shows that item 1a is causing
the internal inconsistency which jeopardizing the reliability of the student-faculty interaction dimension. Hence,
by using EDA in depth understanding is obtained and cross checked with Cronbach’s alpha and EFA values
in removing the item from the instrument. Thus, emphasizing the crucial role of EDA in assessing survey
instrument reliability where in depth understanding regarding the item offers alternative solution to overcome
the problem of different rule of thumb of Cronbach’s alpha and EFA values.}
    }