Statistical techniques are important tools in modeling research work. However, there could
be misleading outcomes if sufficient care is undermined in choosing the right approach …

Research methods play an extremely important role in studies. Statistical methods are
fundamental and vital for quantitative research. The authors of this paper investigated the …

This paper addresses modeling strategies in logistic regression within the context of a real-
world data set. Six commercially available statistical packages were evaluated in how they …

This book provides proper direction in doing research especially towards the understanding
of research objectives, and research hypotheses. The book also guides in research …

The improvements in the data science profession have allowed the introduction of several
mathematical ideas to social patterns of data. This research seeks to investigate how …

The dynamic world of big data in the healthcare sector characterized by huge numbers,
complexity, and speeds is also not suited to conventional research methods. Methods are …

109 A note on the usage of Likert Scaling for research data analysis Page 1 109 USM R & D
18(2): 109-112 (2010) ISSN 0302-7937 Introduction Likert scaling is a psychometric scale …

Computer intensive methods have recently been intensively studied in the field of
mathematics, statistics, physics, engineering, behavioral and life sciences. Bootstrap is a …

The use of appropriate methodology is a necessary component of reliable and valid
research. A comprehensive account of methods used in library and information science (LIS) …

Library and information science (LIS) is a very broad discipline, which uses a wide range of
constantly evolving research strategies and techniques. The aim of this chapter is to provide …