Open AccessIdentifying Appropriate Quantitative Study Designs for Library Research
Author(s) -
Diane Lorenzetti
Publication year - 2007
Publication title -
evidence based library and information practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 14
ISSN - 1715-720X
DOI - 10.18438/b8v30j
Subject(s) - checklist , computer science , identification (biology) , selection (genetic algorithm) , process (computing) , management science , key (lock) , research design , operations research , process management , data science , engineering management , psychology , engineering , sociology , artificial intelligence , computer security , social science , botany , cognitive psychology , biology , operating system
This paper is concerned with the identification of quantitative study designs suitable for library research. Identifying a researchable question and selecting a research method best suited to it are key to the successful design and execution of any research project. Each research situation is unique, and each researcher must find the method that best suits both their situation and the question at hand. Following a brief discussion of issues related to question development, the author outlines a checklist that may assist the process of selecting study designs for quantitative research projects. When faced with options in terms of study design selection, pragmatic issues such as expertise, funding, time, and access to participants may influence this decision-making process.