problems, aims, questions and hypotheses -- 8. Sampling -- 9. Understanding data collection techniques

models -- 5. Inferential statistics: confidence intervals, hypothesis testing, and sampling -- 6

research designs / Laura F. Salazar, Richard A. Crosby, and Ralph J. DiClemente -- Principles of sampling

-- Reliability and validity -- Effective measurement -- Sampling -- Experiments and threats to validity -- Survey

-- Chapter 7: Sampling and Collecting Data in a Mixed Methods Action Research Study -- Chapter 8: Analyzing

Overview -- Transforming variables -- Selecting and sampling cases -- Organization and presentation

Sampling -- Application 4.2 Examples of Nonprobability Sampling -- Beyond Description -- Practice 4.3

interview -- Handling sampling and recruiting : selecting participants for online interviews -- Addressing

-- Randomized controlled trials for psychosocial interventions / Phyllis Solomon and Mary Cavanaugh -- Sampling

funded grant applications using mixed methods -- Assessing quality in mixed methods studies -- Sampling

: Data gathering methods -- 9. Sampling -- 10. Surveys and questionnaires -- 11. Interviews and focus

literature review -- Conceptualisation -- Constructing arguments in research -- Sampling -- Quantitative data