Module B1 Session 13 Session 13 Qualitative methods for data collection At the end of this session, participants will be able to Argue the case for an integrated approach to evidence gathering that combines qualitative and quantitative approaches Discuss the importance of participatory methods as one of the approaches that has become part of the mainstream of the methods used for gathering evidence Introduction The quantitative – qualitative divide I argue that the divide between quantitative and qualitative methods is to a large extent product of the division that so far has existed between disciplines or sciences that explore fields of human activity that have concentrated on one end of the spectrum on measurement and on the other en of the spectrum on the conceptualisation of ideas. The division has been accentuated by the way our education systems have become specialised and have led to people studying subjects, rather than exploring knowledge! An oversimplified scenario will have statisticians arguing that they use quantitative methods while anthropologists may argue that they mainly use qualitative methods. If this were to be the case in the practice of both professions, the outcome would be poor statistics and poor anthropology. Through out the activities of this session, students will discover that in any area of information collection, the use of a critical approach that is driven by clearly defined information needs, will inevitably lead to the use of an integrated set of research approaches. Although the case for classifying information into numerical and non-numerical is a strong one because of the tools that we use to process and summarise that information, in this session we want to challenge the perception of research methods and data collection (as part of a research process) can be divided into qualitative and quantitative fields. I would argue that the dichotomy qualitative-quantitative methods is misleading and that we need to become aware of methods that have been developed in distinct fields of science to take full advantage of the heritage of knowledge and methods that will help in making a success of our task of gathering and processing information for decision-making purposes. SADC Course in Statistics Module B1 – Page 1 Module B1 Session 13 In order to do this, a series of readings are proposed and activities aimed at helping to bridge the qualitative-quantitative divide are suggested. Activities Activity 1: Spot the difference In this activity you are required to read the following papers: What Are Qualitative Methods? This paper can be found in the DVD that supports this course. After having read them, you will prepare a summary that explores the contrasts and shared characteristics between what are described as Qualitative Methods and methods such as surveys and census. While it is evident that there are differences, to what extent the differences that are emphasised in the papers are due to the different training and disciplines of those involved in the use of these methodologies. You are encouraged to find areas where the papers point out that “qualitative (and participatory) methods contrast with qualitative methods” but in practice surveys and census address those issues. Finally you should look at areas where the common use of surveys and census could learn from the approaches advocated under the labels of qualitative and participatory methods. Activity 2: How can ‘qualitative’ and ‘quantitative’ methods be combined? The text and box below were taken from the paper “A methodological framework for combining quantitative and qualitative survey methods”. It illustrates how qualitative and quantitative methods can be combined in surveys and experiments. Study the table and answer the following questions: What types of combinations are described in the paper? Provide examples from the case studies that were presented as examples of statistics of combinations of methodologies. SADC Course in Statistics Module B1 – Page 2 Module B1 Session 13 Types of Combinations. Merging is one way of combining qualitative and quantitative approaches. It consists of swapping tools and attitudes from one tradition to the other. In addition to merging, there are two other types of combining:sequencing and concurrent use of tools and attitudes. If they are to lead to integrated conclusions, sequenced and concurrent combinations should be followed by a synthesis of the information collected. Box 1 illustrates the differences between the different types of combinations with some examples. Within a particular RNR research or development project dealing with the sustainability of livelihoods, any mixture of these types of combination can be used. Of them all, sequencing, has probably been the most widely practised in the past. Whilst aspects of types A, B and C have undoubtedly been used in the field for some time, it is only relatively recently that examples have been documented and disseminated widely (see e.g. PLA Notes 28and World Bank Technical Paper 366). The latter paper stresses the importance of synthesising of information obtained through combinations of survey techniques. Box 1: Types of qualitative and quantitative combinations that may be used in sample surveys and experiments Type A: Swapping tools and attitudes: "Merging" Thinking about sampling in designing enquiry based on qualitative methods. Coding responses to open-ended questions from qualitative enquiries. Using statistical techniques to analyse unbalanced data sets and binary, categorical and ranked data sets, arising from participatory enquiry. - creating frequency tables from coded data. - modelling binary and categorical data generated from ranking and scoring exercises. Using mapping to generate village sampling frames for: questionnaire surveys; type 2 or type 3 on-farm trials (see note at the bottom of the table). Using attitudes from participatory methods, e.g. to reduce the non-sampling error in questionnaire surveys or farmer-researcher misunderstandings in on-farm trials. SADC Course in Statistics Module B1 – Page 3 Module B1 Session 13 Type B: "Sequencing" Using participatory techniques in exploratory studies to set up hypotheses, which can then be tested through questionnaire based sample surveys, or via on-farm trials. Choosing a random sample and conducting a short questionnaire survey to gain information on key variables which are then investigated in-depth by participatory enquiry. Type C: Concurrent use of tools and methods from the different traditions: "Mixed Suite" Concurrent use of: Survey of statistically selected sample members, using pre-coded questionnaires to determine target population characteristics of a qualitative (e.g. opinions on a new technology) or quantitative (e.g. crop production) nature. Setting up scientific experiments (on-station or type 1 trials) to study the effects of specific interventions in a controlled environment (e.g. on-station or "contract" research). Using aerial photographs, GIS. along with: Participatory enquiry for attitudes, beliefs and perceptions of the target population. Type 3 trials. Note: Type 1 on-farm trials are those designed and managed by researchers. Type 2 trials are designed by researchers but managed by farmers. Type 3 trials are designed and managed by farmers and monitored by researchers. (Coe and Franzel: 1997). Source: Marsland et al. (1998) SADC Course in Statistics Module B1 – Page 4 Module B1 Session 13 Activity 3: Participatory methods The reading “What Are Participatory Methods? Principles and Techniques” describes participatory methods. The paper “Participation and the Qualitative-Quantitative Spectrum” contrast participatory methods with qualitative methods. For this activity you will assume that you are working for a senior civil servant who has not idea about what participatory methods are, and gets them always confused with quantitative methods. He has requested from you to provide him with information about participatory methods and how they fit in the qualitative-quantitative spectrum. He has specified that you are to write no more than 2 pages and that in doing so, the differences and complementarities of the two methodologies should be made clear. You have done your research work and found the two papers mentioned above. Use them to accomplish the task set by your boss. Resources: What Are Qualitative Methods? A short paper, courtesy and reproduced with premission from EDIAIS (http://www.enterprise-impact.org.uk/index.shtml). Available from the toolbox stored in their website What Are Participatory Methods? A short paper, courtesy and reproduced with premission from EDIAIS (http://www.enterprise-impact.org.uk/index.shtml). Available from the toolbox stored in their website A methodological framework for combining quantitative and qualitative survey methods. Marsland, N., Wilson, I., Abeyasekera, S. and Kleih. U. (www.ssc.rdg.ac.uk) Participation and the Qualitative-Quantitative Spectrum. Marshland, N.(www.ssc.rdg.ac.uk) SADC Course in Statistics Module B1 – Page 5