Knowledge Democracy and Participatory Research

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Welcome to the Knowledge Democracy and Participatory Research Community. This community serves as a comprehensive repository of resources on participatory approaches, community-based research, and collaborative inquiry methods. Our mission is to foster knowledge sharing and support initiatives that empower communities to contribute to research, ensuring their voices shape the knowledge that impacts their lives.

Explore a wealth of materials, including case studies, policy papers, training guides, and research publications that highlight the practice and principles of participatory research worldwide.

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    Research Methods in Social Relations-Survey Research Designs
    (SPSSI, 1986) Kidder, Louis H.; Judd, Charles M.
    The strength of survey research lies in answering questions of fact and in assessing the distributions of the characteristics of populations. In uses of this kind, issues of internal validity are not raised, and hence the pre-experimental research designs that are typically used do not cause problems. There are no causal inferences to be made. Because survey designs lend themselves easily to extensive data collection over large geographical areas, they typically obtain data that are more externally valid than data gathered in laboratory settings. Sampling procedures to enhance external validity are more easily implemented in survey research than in experimental research. Likewise, many naturally occurring phenomena can be observed in survey research, whereas those same phenomena might not be amenable to experimental simulation and manipulation.
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    Research Methods in Social Relations-An Introduction to Sampling
    (SPSSI, 1986) Kidder, Louis H.; Judd, Charles M.
    To provide an introduction to procedures that can be used to increase the external validity of a piece of research. In this chapter we give a nontechnical introduction to sampling: We show how the process of selecting a sample from a population affects the degree to which generalizations to the population can be confidently made. This chapter is not a manual of sampling procedures, nor does it review the statistical theory that underlies much of what we know about sampling. Rather the goal is to provide a sufficient introduction to the topic so that you can appreciate the considerations involved in sampling. In Chapter 8 we discuss a kind of research, called participant observation, in which we study people in their natural settings so we can more confidently reach conclusions about those settings and conditions that we are most interested in..
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    Methodology / Design
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    Sampling - An Overview
    (0000)
    This document provides an in-depth overview of key sampling concepts and techniques used in population studies. It defines fundamental terms such as population, sample, sampling unit, and sampling frame, along with methods for selecting representative samples, including simple random sampling, stratified sampling, systematic sampling, and cluster sampling. Detailed discussions cover sample size calculation, including factors affecting sample size feasibility and desirability, and the steps involved in conducting 30-cluster sampling, with guidelines for choosing sampling intervals, starting points, and selecting households. Practical examples and formulas are provided to guide researchers in achieving desired precision and confidence levels in sampling.

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