How to Investigate the Use of Medicines by Consumers
(2004; 98 pages) Ver el documento en el formato PDF
Índice de contenido
Ver el documentoAcknowledgements
Ver el documentoPreface
Abrir esta carpeta y ver su contenido1. Why study medicines use by consumers
Abrir esta carpeta y ver su contenido2. What influences medicines use by consumers
Abrir esta carpeta y ver su contenido3. How to study medicines use in communities
Abrir esta carpeta y ver su contenido4. Prioritizing and analysing community medicines use problems
Cerrar esta carpeta5. Sampling
Ver el documento5.1 Introduction
Ver el documento5.2 Selection of study sites and study units
Ver el documento5.3 Purposeful sampling for qualitative studies
Ver el documento5.4 Probability sampling methods for quantitative studies
Ver el documento5.5 Bias in sampling
Ver el documento5.6 Sample size
Abrir esta carpeta y ver su contenido6. Data analysis
Abrir esta carpeta y ver su contenido7. Monitoring and evaluating rational medicines use interventions in the community
Ver el documentoBack cover
 

5.1 Introduction

Sampling involves the selection of a number of study units from a defined study population. When drawing a sample, a researcher first needs to decide which population (s)he intends to study. This depends on the research objectives and questions. Sampling strategies need to be defined as you can rarely cover every person in the selected population. In qualitative studies they aim to identify information-rich cases or informants. Information-rich cases are those from which one can learn a great deal about issues of central importance to the purpose of the research, so the term purposeful sampling is used when such people are selected.

For example, when understanding is needed of how infertile women cope, in-depth interviews should be conducted with women who experience infertility. Probability sampling typically depends on large samples selected randomly. A truly random and statistically representative sample allows for generalization from the sample to the larger population. The purpose of such sampling methods is not to gain in-depth understanding of an issue, but to be able to generalize findings. Such sampling can be stratified to ensure that all groups of interest are included.

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