A survey is a structured method for gathering data from a large number of respondents. It is used as a social science research method, by businesses determining the likely success of products, and by pollsters considering the impact of a particular policy or the likely outcome of an election. In these pages we are specifically concerned with the use of surveys as a tool for scholarly research in management-related disciplines, or for those who may use surveys in their business consulting work. We will also be focusing specifically on the design of the survey as a research enterprise.
Qualitative research techniques are becoming more and more important in management and social science research. Careful analysis can ensure the research has a depth not always present in quantitative research, while retaining rigour and validity. This guide covers how the process differs from that for quantitative data, principles of data collection, coding, theory building, use of CAQDAS software, and finally at some of the main techniques and methods used for qualitative analysis, from grounded theory to hermeneutics.
This feature is concerned with the choice of basic statistical analysis tools appropriate for academic research. It does not pretend to be exhaustive, but aims to give broad direction, some definitions, and a starting point for those with little experience of statistical methods. It does not go into any detail of how to apply the various tools, or perform the calculations, as these are best carried out by any of the range of statistical packages available as part of spreadsheet and database programs or as standalone tools.
These pages are concerned with what in general terms is considered, from the point of view of rigour, the gold standard of research, the experiment, which is nevertheless something of a Cinderella in the management sciences. We shall look first at what defines the experiment and what qualifies its use in management research, then in more detail at design issues, before exploring various types of experiment.
The questionnaire is one of the most widely used instruments in research in the management sciences; it is also commonly used in business for market research. Effectively used, it is a highly efficient tool for obtaining data of a both structured (i.e. the answers are predetermined) and unstructured (the answers are open to the respondent) nature.
The quantitative approach is a method that is more versed in systematic scientific research, in that it is the accumulation of measurable (and numerical) quantities that then undergo an analysis in order to prove hypothesizes and to formulate laws. Analysis can be just the simple presentation of tables and diagrams showing the collected data (descriptive statistics), or it can be a rigorous mathematical treatment of the data (inferential statistics).
The next step is for the group to select what research methods will enable them to collect the data that they need to answer their research question. The group is unlikely to know about all the available methods, so you need to give them enough information to make an informed decision. Here is a brief outline of the main methods that they could use, along with their advantages and limitations.
The study of research methods is not only an essential requirement for social scientists, it is also vital for anyone looking to succeed in business and management. Stay informed on the basics, and familiarize yourself with recent developments and trends in research techniques.
Properly used, "mixed methods" research is a design methodology, a paradigm, and not just an arbitrary mix of qualitative and quantitative techniques. This article examines what the term means, why it has come into favour, its advantages and disadvantages, and some aspects of the execution of a mixed method design.
The success of your project depends on what you will explore and how you will explore it. The following ideas will help you approach the subject of the business research methods in a variety of ways. Choose an idea that meets your needs the best and create a strong term paper on its basis.
We recruited men and postmenopausal women with a body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) between 27 and 40 by means of newspaper advertisement. Smokers, persons with clinically significant illness, including diabetes, and those taking medications known to affect body weight were excluded. The study was approved by the Austin Health Human Research Ethics Committee, and all participants provided written informed consent.
When you are writing a you need to sort out the approach of your research and there are two methods for that. Qualitative and quantitative methods. In this article I have decided to share productive knowledge about quantitative research techniques and I am sure you have an enough ground to learn.
In this guide, Margaret Adolphus explores what is meant by the term discourse analysis, situates it in its context of qualitative data analysis and looks at some of the key theorists and its applications. Finally, she explores some of the ways in which discourse analysis can benefit research.
Grounded theory (GT) is a method of social research which involves generating theory from empirical data. Originating in sociology, it has become highly popular in management research. This article looks at the key features of GT and at the all-important historical evolution of different GT schools. It also looks at its applications in the various areas of management and LIS research, as well as its misuse.