Statistical Methods for LIBRARIANS Library Science HB

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Already, reading and applying findings in relevant disciplines, as well as in library and information science, can yield a store of researchable ideas that is large and complex enough to fill (if not exceed) any present capacity in the field. 
In the following chapters of this book we hope to give a basic understanding of statistics, statistical analysis, and its usefulness in library science. In attempting this, we have kept the mathematical prerequisites at a minimal level. Our goal is not to turn our readers into accomplished statisticians, which we could not do in a few chapters. Our goal is to acquaint readers with the most common statistical techniques and terminology encountered in any basic research area. After reading this text and attempting the problems at the end of each chapter, one should have a fundamental grasp of some of the basic elements of statistical analysis. For those who would like to explore statistical and methodological topics beyond the scope of this text, we have included references at the end of each chapter. 
Our discussion begins in chapter 1 with an introduction to descriptive statistics that are geared toward quantifying characteristics of a group of individuals or cases on a number of variables of interest to us. In order to quantify these characteristics, we must learn something about the measurement process which, essentially, assigns numbers to individuals according to the qualities or amount of the variable they possess. This presentation is also included in the first chapter. 
Chapter 1 also contains the methods for calculating certain summary statistics. Through them, we are able to summarize great amounts of information by means of a few statistics or numbers. Sometimes, however, we are not interested in only the small number of individuals or cases to which we have immediate access. Rather, we would like to make generalizations about a larger number of individuals (i.e., all library users), based on our small subgroup of library users on whom we have data. To make this inference valid, we must become acquainted with some of the ways to acquire such a subgroup or sample in order~ to make sounder generalizations. 
Chapter 2 deals with samples and sampling procedures. Based on our newly acquired knowledge, we turn to inferential statistics in chapter 3 and cover some of the fundamental concepts on which inductive statistics are based. It is at this point that we will begin using statistical methods for making generalizations and testing our statistical hypothesis in a logical inductive manner. 
In chapter 4 we expand on inductive techniques and begin to examine relationships between variables that are of interest to us. Chapter 5 covers the important area of nonparametric statistics. 

 

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