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Principles of Statistical Communication and Quality Assessment

This proposal presents the principles, components, and assessment of quality in communicating statistics. It explores various aspects such as data to message communication, tools for depicting statistics, and dressing statistics with text and visuals. The goal is to enhance the understanding and impact of statistical information in our increasingly data-driven world.

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Principles of Statistical Communication and Quality Assessment

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  1. Presenting and communicating statistics: principles, components, and their quality assessment. A proposal Filomena Maggino & Marco Trapani Università degli Studi di Firenze, Italy filomena.maggino@unifi.it

  2. Contents 1. Communication: integral component of statistical work 2. Communicating statistics 3. Assessing statistical communication 4. The way forward

  3. Contents 1. Communication: integral component of statistical work 2. Communicating statistics 3. Assessing statistical communication 4. The way forward

  4. Communication in statistics: From DATA to MESSAGE

  5. Contents 1. Communication: integral component of statistical work 2. Communicating statistics 3. Assessing statistical communication 4. The way forward

  6. 1. Fundamental aspects

  7. 2. Main components Context - setting C O D E C O D E Channel T R Message FEEDBACK Noise

  8. 3. Codes • in statistical communication • Outline  telling statistics • tools  Depicting statistics • cloths  Dressing statistics

  9. 3a. Outline  telling statistics I N V E N T I O D I S P O S I T I O E L O C U T I O A C T I O START

  10. 3a. Outline  telling statistics 1- Inventio (invention) • Who  the subject of telling • What  the fact • When  the time location • Where  the field location • Why  the causes

  11. 3a. Outline  telling statistics 2- Dispositio (layout) Deductive approach Inductive approach Time progression approach Problems approach Case / specific situation Premise Once upon a time… Meaningful questions Reflection General Principles Why something changed Why in important to talk about… Concepts Developing arguments Yesterday… Today… Solutions (and concepts) Consequences / other cases Pratical consequences/examples Tomorrow Conclusions and consequences Advantages-disadvantages approach From point of view approach Top-down approach Premise Reflections Concepts Consequences… Subject General Reflections Concepts Consequences… Pont of view 1 … values … defects Pont of view 2 … values … defects Particular Reflections Concepts Consequences… Subject Specific Reflections Concepts Consequences… Pont of view 4 … values … defects Pont of view 3 … values … defects Detail Reflections Concepts Consequences… Micro Reflections Concepts Consequences…

  12. 3a. Outline  telling statistics 3- Elocutio (expression)

  13. 3a. Outline  telling statistics 4- Actio (execution) • Stages: • Introduction • Development • Comments • Time/space use • Ending • Receivers’ feedback (Q&A)

  14. 3b. Tools  Depicting statistics functions

  15. 3b. Tools  Depicting statistics Perception of statistical Graph Recognizing the code Recognizing regularities Carrying out comparisions and identify differences

  16. 3b. Tools  Depicting statistics (i) Choosing a graph … • … by taking into account • number of involved variables • nature of data (level of measurement) • statistical information to be represented • … by preferring • a simple graph with reference to the audience • a clear graph instead of an attractive one • a correct graph with reference to data

  17. 3b. Tools  Depicting statistics (ii) Preparing a graph

  18. 3c. Cloths  dressing statistics • Different aspects: • Text arrangement • Characters and fonts • Colours • Other aspect With reference to: • Balance • Harmony • Proportion • Elegance • Style

  19. Contents 1. Communication: integral component of statistical work 2. Communicating statistics 3. Assessing statistical communication 4. The way forward

  20. 1. Conceptual Framework aspects allowing the assessing 1.1 the dimensions to evaluate 1.2 the evaluating criteria 1.3 the components of the transmission process

  21. 1. Conceptual Framework • 1.1 the dimensions to evaluate • Outline • Tools • Cloths

  22. 1. Conceptual Framework • 1.2 the evaluating criteria • Suitability / consistency • Correctness • Clarity

  23. 1. Conceptual Framework • 1.3 the components of the transmission process • receiver / audience • available channel • available context / setting • Message’s Contents

  24. 1. Conceptual Framework 1.1 Dimensions to evaluate Transmitter’s code

  25. 2. Need of standarded codes

  26. Contents 1. Communication: integral component of statistical work 2. Communicating statistics 3. Assessing statistical communication 4. The way forward

  27. The way forward … • Emphasizing communicative aspects does not aim at exasperating the importance of communication with respect to the rest of statistical activities. • ICT societies increasingly require statistical information. • In order to attribute more value to statistics and to increase impact of statistics on reality, two processes need to be assessed: • data production and analysis • communication

  28. The way forward … The presented work summarizes the first stage of our study, aimed at defining the framework for quality assessment of communication in statistics. The goal is to define the assessment technology by discussing with all the willing colleagues.

  29. The way forward … To be continued.... JOIN US ! filomena.maggino@unifi.it

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