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Advancements in Measuring Meditation: Data Triangulation and Future Directions

This presentation explores the state of the art in measuring meditation, focusing on various methodologies such as galvanic skin resistance (GSR) and brainstem auditory evoked potentials. We'll discuss the integration of data triangulation to enhance understanding and interpretation of results. Key findings from meditation tests highlight the low and high standard deviation values, providing insight into the physiological impacts of different meditation practices. The session concludes with future directions for research and the potential for practitioners to engage meaningfully with empirical data.

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Advancements in Measuring Meditation: Data Triangulation and Future Directions

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Presentation Transcript

  1. Agenda • Introduction – presentwork • State of the art - Measurement of Meditation • What to do with all these data? • One option: datatriangulation • Model of Meditation • Results of the Meditation test • Where to go next

  2. State of the art - Measurement of Meditation • Low Standarddeviation(Low SDNN) • Few NN above 50 millsec(low pNN50) • HighStandarddeviation( high SDNN) • Many NN above 50 millsec(low pNN50) Morten Aagaard

  3. State of the art - Measurement of Meditation “Galvanic Skin Resistance (GSR): There was a significant increase in the galvanic skin resistance during and after the dhyäna session in comparison to caïcalatä, ekägratä, and dhäraëä sessions.” Sanjay Kumar : Effect of 'Om meditation on brainstem auditory evoked potentials, autonomic and respiratory variables' and selective attention How have effect of meditation be measured? Morten Aagaard

  4. What to do with all these data? • Properties of the new data • Context data • The data arepredominantlyquantitative by nature • Heterogenous data(in terms of about and empiri) • Subjectivejudgements • Objective data • The politicaleconomy of empiricalsourcesfarvoursthesesempirical data • Consequence • Easesmethod and datatriangulation • Give place for practitioners to research in their situation • A great platform for Persuasion Morten Aagaard

  5. Model Meditation Con-text ? • The model Morten Aagaard

  6. One option: datatriangulation • A-B-A • Meditation instruction and practice + measurements • Datacollectionafterwardshighlevel interpretation • Validation Morten Aagaard

  7. Results of the Meditation test Morten Aagaard

  8. Results of the Meditation test • Lots of errors Morten Aagaard

  9. Where to go next Morten Aagaard

  10. ? Morten Aagaard

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