Research Instruments


angel torres
Mind Map by angel torres, updated 8 months ago
angel torres
Created by angel torres over 2 years ago

Resource summary

Research Instruments
  1. POLL
    1. Quizzes
      1. Dichotomous
        1. Balances
          1. knowledge
            1. Attitude tests, knowledge
              1. Quizzes: Dichotomous Polycotomic
              2. INTERVIEW
                1. Interview script
                2. OBSERVATION
                  1. Field diary.
                    1. List of matches.
                      1. Arrays.
                        1. Observation Guide
                        2. Quantitative Data Collection
                          1. Use instruments that have been proven to be valid and reliable.
                            1. Orientation towards description, prediction and explanation.
                              1. Focused on measurable and observable data.
                                1. The data collected are objective and accurate, since they were collected using standardized methods, they can be reproduced and analyzed using statistical techniques.
                                  1. Employ experimentation Cause and effect analysis.
                                    1. Quantitative techniques contribute:
                                      1. Generalizable results.
                                        1. Control of phenomena.
                                          1. Precision.
                                            1. Prediction.
                                              1. Advantages of Using Quantitative Data
                                                1. The most common analyzes are relatively quick and easy
                                                  1. Answers the “what” and “how many” questions about the evaluation activities.
                                                    1. The results are concrete with a minimal possibility of bias.
                                                    2. Disadvantages of Using Quantitative Data
                                                      1. Data collection can be time consuming.
                                                        1. For more advanced data analysis, you need statistical software and training to use it, this can be expensive.
                                                          1. May not answer the "why" of the evaluation activities.
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