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Mastering Data Collection Plans for Effective Research Studies

Learn how to design and implement a comprehensive data collection plan for quantitative studies, covering dimensions, methods, conversions, and major steps.

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Mastering Data Collection Plans for Effective Research Studies

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  1. Chapter 14Designing and Implementing a Data Collection Plan

  2. Data Collection Plan—Basic Decision Use of: • Existing data • Records (e.g., patient charts) • Historical data • Existing data set for secondary analysis • New data, collected specifically for research purposes

  3. Developing a Data Collection Plan for Quantitative Studies

  4. Dimensions of Data Collection Approaches • Structure • Quantifiability • Researcher obtrusiveness • Objectivity

  5. Major Types of Data Collection Methods • Self-reports • Observation • Biophysiologic measures

  6. Converting Qualitative and Quantitative Data • Using quantitative data qualitatively—qualitizing the data • Using qualitative data quantitatively—quantitizing the data

  7. Major Steps in Developing a Data Collection Plan—Quantitative Studies • Identify data needs • Select data collection approach and types of measures • Select, adapt, or develop specific instruments • Pretest the instrument package • Develop data collection forms and procedures

  8. Identifying Data Needs Examples include data needed to: • Test hypotheses or answer research questions • Describe sample characteristics • Control extraneous variables • Analyze potential biases

  9. Identifying Data Needs (cont’d) • Perform manipulation checks • Secure administrative information • Understand subgroup differences • Help interpret results

  10. Factors That May Affect Decisions in Selecting an Instrument • Resources • Availability and familiarity of instrument • Norms and comparability • Population appropriateness • Administration issues (special requirements) • Reputation of instrument

  11. Implementing the Data Collection Plan in Quantitative Studies • Select research personnel for data collection (e.g., interviewers, observers) • Train data collectors • Collect data using formal instruments and procedures

  12. Field Issues in Qualitative Studies • Gaining trust • Pace of data collection • Emotional involvement with participants • Reflexivity

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