Developing Effective Research Proposals

Keith F Punch

• Editorial: SAGE Publications Ltd
• Año: 2016
• ISBN:
  9781473966277
• Edición: 3
• Categoría: Social Sciences
• Categoría: Social Science Research & Methodology

This is your step-by-step guide to success with your research proposal. This new edition covers every section of the proposal, telling you all you need to know on how to structure it, bring rigour to your methods section, impress your readers and get your proposal accepted.

With practical tips and advice throughout, new features include:

• Comprehensive explanation of method and methodology, and how to maximize this crucial section of your proposal
• Anew section on mixed methods: an increasingly common approach in research
• Anew chapter on how to get it right with ethics
• Fresh exercises and activities, now for each key chapter.

The Third Edition provides an authoritative and accessible guide for anyone tackling a research proposal. It is perfect for students in education, nursing, health, and across the social sciences.

1 Introduction

• 1.1 Research proposals – purpose and use of this book 2
• 1.2 Background to this book 3
  • 1.2.1 Empirical research – data 3
  • 1.2.2 Quantitative and qualitative data 4
  • 1.2.3 Relaxing the quantitative–qualitative distinction 5
  • 1.2.4 Social science and social science areas 6
  • 1.2.5 Relationship of this book to Introduction to Social Research 7
• 1.3 A view of research 8
• 1.4 Chapter outline 9
• 1.5 Review concepts 10

1.1. Research proposals – purpose and use of this book

The research proposal is a central feature of the research world. Typically, the presentation and approval of a formal proposal is required before a piece of research can proceed.

This applies to the graduate student in a university, for whom the research dissertation (or thesis) lies ahead, and for whom the approval of a research proposal is required in order to proceed with the dissertation. It applies also to the application for funds to support research, where the proposal is the vehicle by which the proposed research is assessed, and decisions are made about its funding.

This book is mainly written for the graduate student in the university, but I hope it will also be useful for other situations where proposals are required. Its central purpose is to help students develop research proposals, assuming that the research involved is empirical research in some area of social science. The idea of empirical research is discussed in Section 1.2.1. The ideas of social science, and of different social science areas which use empirical research, are discussed in Section 1.2.4.

To achieve its purpose, the book is organized around three central themes:

• What is a research proposal, who reads proposals and why (Chapter 2)?
• How can we go about developing a proposal? What general guidelines and strategies are there to help students, while recognising at the same time that the wide variety of social science research implies that we should not try to be too prescriptive or restrictive about this? This theme is subdivided into a general framework for developing proposals (Chapter 4), issues (Chapter 5), methods (Chapter 6) and tactics (Chapter 8).
• What might a finished proposal look like (Chapter 7)?

By way of introduction, I suggest a ‘four Ps’ view of the proposal – phase, process, product, plan:¹

• The research proposal is a phase of the overall research process – the phase which launches the project, and therefore a very important first phase.
• Developing a research proposal is a process of planning, designing and setting up the research, including placing it in context and connecting it to relevant literature.
• The finished proposal is a product, where the proposal is formally presented as a document.
• That document contains the proposed plan for the execution of the research.

This description of the proposal suggests different ways you might read and use this book, choosing the chapters according to your interests and needs. For example, if your main interest is in the process of developing a proposal (how is it done?), I suggest you concentrate first on Chapters 2 and 8, then on Chapter 4, and then fit the other chapters in around these. If your main interest is in the proposal as a finished product (what does it look like?), you might start with Chapter 7, then read Chapter 2 and then the other chapters as required. If you want to focus on the plan for the research (how will the research be done?), I suggest starting with Chapter 4, then proceeding to Chapters 6 and 7. If you want an overview of all of this, you might read the chapters in the order presented.

Section 1.4 gives more detail about the chapter plan for the book. The remainder of this chapter now gives some background to it.

1.2 Background to this book

1.2.1 Empirical research – data

Our subject is empirical social science research, and developing proposals for doing such research. Empiricism is a philosophical term to describe the epistemological theory that regards experience as the foundation or source of knowledge (Aspin, 1995: 21). Since experience refers here to what is received through the senses, to sense-data or to what can be observed, I will use the general term ‘observation’ alongside the term ‘experience’. Thus ‘empirical’ means based on direct experience or observation of the world. To say that a question is an empirical question is to say that we will answer it – or try to answer it – by obtaining direct, observable information from the world, rather than, for example, by theorising, or by reasoning, or by arguing from first principles. The key concept here is ‘observable information about (some aspect of) the world’. The term used in research for this observable information about the world, or direct experience of the world, is data. The essential idea in empirical research is to use observable data as the way of answering questions, and of developing and testing ideas.

Empirical research is the main type of research in present-day social science, but it is not the only type. Examples of other types of research are theoretical research, analytical research, conceptual-philosophical research and historical research. This book concentrates on empirical research. At the same time, I believe many of the points it makes about proposal development can be applied to other types of research.

BOX 1.1

Types of research

Empirical research rests on empirical questions – questions which are answered using data. But there are other types of questions. One type is analytic. By this we mean that an analytic question can be answered by analysis of the question itself. An empirical question requires empirical evidence – that is, data – in order to answer it. An analytic question, by contrast, can be answered by analysis of the question itself, without recourse to real-world data.

The nature of empirical questions is not hard to understand, partly because the scientific method, which is based on empiricism, saturates the modern (Western) world, so that empirical questions are everywhere. The nature of analytic questions can be harder to understand. Because they involve the analysis of concepts and propositions themselves the analysis is sometimes called analysis from first principles.

More generally, concepts, propositions and theories can be analysed, without necessarily involving empirical data, focussing on such things as their definitions, properties, implications and internal consistency. This is what is meant by such terms as analytical research, research from first principles, and theoretical and conceptual research. The point stressed here is that, while these types of research have their importance, they are different from empirical research.

Historical research is slightly different again. It concentrates on historical matters or phenomena, using the techniques of inquiry and analysis developed by historians. In one important sense, historical research is empirical, resting ultimately on real world data. Despite this, it is not usually seen as part of empirical social science research, because of the specialised issues that arise when dealing with data and phenomena from the past.

This book focuses on empirical research, easily the most important type of research in present day social science.

1.2.2 Quantitative and qualitative data

Data is obviously a very broad term, so we subdivide data for empirical research into two main types:

• quantitative data – which are data in the form of numbers (or measurements), and
• qualitative data – which are data not in the form of numbers (most of the time, though not always, this means words).

This leads to two simplifying definitions:

• Quantitative research is empirical research where the data are in the form of numbers.
• Qualitative research is empirical research where the data are not in the form of numbers.

These simplified definitions are useful for getting started in research, but they do not give the full picture of the quantitative–qualitative distinction. The term ‘quantitative research’ means more than just research which uses quantitative or numerical data. It also refers to a whole way of thinking, or an approach, which involves a collection or cluster of methods, as well as data in numerical form. Similarly, qualitative research is much more than just research which uses non-numerical data. It too is a way of thinking,² or an approach, which similarly involves a collection or cluster of methods, as well as data in non-numerical or qualitative form.

Thus, full definitions of the terms ‘quantitative research’ and ‘qualitative research’ would include:

• the way of thinking about the social reality being studied, the way of approaching it and conceptualising it;³
• the designs and methods used to represent that way of thinking, and to collect data;
• the data themselves – numbers for quantitative research, not numbers (mostly words) for qualitative research.

In teaching about research, I find it useful initially to approach the quantitative–qualitative distinction primarily through the third of these points, the nature of the data. Later, the distinction can be broadened to include the first two points – ways of conceptualizing the reality being studied, and methods. Also, I find that in the practical business of planning and doing research, dissertation students very often focus on such questions as: Will the data be numerical or not? Am I going to measure variables in this research, or not? Or, in other words, will my research be quantitative or qualitative?

For these reasons, I think that the nature of the data is at the heart of the distinction between quantitative and qualitative research, and that is why I start with the simplified definitions shown above. But we need also to remember that there is more to the distinction than this, as shown in the other two points above, and that qualitative research is much more diverse than quantitative research, in its ways of thinking, in its methods and in its data.

1.2.3 Relaxing the quantitative–qualitative distinction

The quantitative–qualitative distinction has been of major significance in social science research, and a basic organizing principle for the research methods literature, up until now. Despite that, we should note that the value of this sharp distinction has long been questioned in the literature (see, for example, Hammersley, 1992: 41–3), and that there are important similarities between the approaches.

Therefore, once under...

Índice

• Cover
• Half Title
• Publisher Note
• Title Page
• Copyright Page
• Contents
• 1 Introduction
• 2 Understanding Readers, Expectations and Functions
• 3 Including Ethics in Social Science Research Alis Oancea
• 4 Developing a General Framework for Proposals
• 5 Using Theory and Dealing with the Literature
• 6 Presenting Methods and Methodologies
• 7 Writing the Proposal
• 8 Getting Tactics Right
• 9 Examples of Proposals
• Glossary
• References
• Index