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Mind Your Work

Written by: Jose Espinoza; Nicholas Bremner
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  • Summary

  • A podcast about social science and work
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Episodes
  • MYW S03 Episode 05 – Data Literacy Part 3: Communication and Storytelling with Data

    MYW S03 Episode 05 – Data Literacy Part 3: Communication and Storytelling with Data
    Mar 29 2021
    Time to pull it all together! In this episode, we wrap up our mini-series on data literacy by discussing how to communicate effectively using data. We cover important things to consider when preparing your talk (or write-up), knowing your audience, and effectively structuring your message. We also briefly talk about data visualization as a tool that can be used to augment your delivery.      Timestamps: 0:50: Why is storytelling important? 2:30: Putting data and stories together 4:38: Preparation: Deciding on your purpose 6:30: Preparation: Knowing the context 9:45: Knowing your audience 22:25: Structuring your presentation or message 28:55: The structure of a story 31:30: Data visualization 34:27: Data viz “commandments” (aka basic tips) 36:15: Effective delivery in presentations 39:40: Effective delivery in documents or manuscripts 41:40: Wrap-up   Mentioned This Episode: Cicero Public Speaking Cards Examples of great storytelling: The beauty of data visualization – David McCandless (chosen by Jose) Start with why – Simon Sinek (chosen by Nicholas) mindyourworkpodcast@gmail.com – Email us your ideas or suggestions here! MindYourWorkIO – Send us a tweet! Mindyourwork.io – Find us here!   Credits: Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/. https://leerosevere.bandcamp.com/. Our transition music for this episode is “Bike ride with you” by Ryan Anderson. Licensed under Creative Commons (CC BY-NC 4.0).   Logo Artwork by Antonella Espinoza. Find her at @ellaspin on Twitter!
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    45 mins
  • MYW S03 Episode 04 – Data Literacy Part 2: Analyzing Data

    MYW S03 Episode 04 – Data Literacy Part 2: Analyzing Data
    Feb 1 2021
    Okay, we’ve got a research question and some data! Now what? In this episode, we talk about common analytical techniques used in the social sciences (particularly industrial and organizational psychology) and what questions they can help answer. We also talk about the only “true” way to demonstrate that X causes Y and cover some common things to watch out for when conducting analysis.   Timestamps: 1:00: Statistics and how we’re teaching them the wrong way 6:10: Describing data vs making inferences with data 9:40: Describing survey data with “percent favorability” 13:55: Why Jose thinks (knows) descriptive stats are great 17:08: Let’s talk about correlations and shark attacks 23:05: T-tests 32:23: Experimental design 101 36:13: Statistical pitfalls 40:48: Wrap-up   Mentioned This Episode: Tyler Vigen – Spurious Correlations Science Forum – Ten common statistical mistakes to watch out for mindyourworkpodcast@gmail.com – Email us your ideas or suggestions here! MindYourWorkIO – Send us a tweet! Mindyourwork.io – Find us here!      Credits: Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/. https://leerosevere.bandcamp.com/. Our transition music for this episode is “Tech Toys” also by Lee; licensed under Creative Commons (CC BY-NC 3.0).      Logo Artwork by Antonella Espinoza. Find her at @ellaspin on Twitter!
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    45 mins
  • MYW S03 Episode 03 – Data Literacy Part 1: Intro and Data Collection

    MYW S03 Episode 03 – Data Literacy Part 1: Intro and Data Collection
    Jan 11 2021
    Let’s talk about data literacy. Data is already ubiquitous in our day-to-day lives, so even if you don’t work with data directly, it’s still important to understand it. In this episode, we provide a brief introduction to our three part series on data literacy, which spans the issues of data collection, analysis, and communication/visualization. We also cover the first of these three topics.       Timestamps: 1:30: What is data literacy? 2:35: Why is data literacy important? 4:12: A way of thinking about data: Inputs, processes, and outputs 7:05: Inputs: Data collection and measurement 9:40: General pros and cons of measurement instruments 19:35: Collecting data from the right people at the right time 24:05: Statistical power 24:50: Validity (accuracy) and reliability 31:30: Wrap-up   Mentioned This Episode: Gartner - A Data and Analytics Leader’s Guide to Data Literacy   Some episodes covering issues of data literacy: Why Can’t We Hold All These Personality Models? (Validity and personality) Bad Behavior at Work (Measuring and preventing counterproductive work behavior) Of Metrics and Interventions (Examining the “right” metrics and data quality) Of Metrics and Interventions - Part 2 (The danger of focusing on too few metrics and how picking metrics can actually influence human behavior)   mindyourworkpodcast@gmail.com – Email us your ideas or suggestions here! MindYourWorkIO – Send us a tweet! Mindyourwork.io – Find us here!       Credits: Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/. https://leerosevere.bandcamp.com/. Our transition music for this episode is “Places Unseen” also by Lee; licensed under Creative Commons (CC BY-NC 3.0).   Logo Artwork by Antonella Espinoza. Find her at @ellaspin on Twitter!
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    34 mins

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