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 ..read more

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 ..read more

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 ..read more

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 ..read more

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 ..read more

Data has become increasingly common in our day-to-day lives. It has become easier than ever to collect, analyze, and share data than ever before. What implications does this have for us and how we make decisions in organizations? In this episode we discuss the rise of data in society, some of the ethical implications of collecting and using data in organizations, and preview our mini-series on data literacy coming in 2021. Timestamps: 1:45: Where is data becoming more prevalent in society? 8:35: Increased use of data in organizations 10:45: Is collecting more data a good thing? 14:04: How do w ..read more

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 ..read more

Essential services ensure that our continues to run, but things are a bit different during a pandemic. In this episode, we talk about some of the occupations that have graduated to essential and discuss how their new “value” has yet to reach employees.      Timestamps: 1:10: What is an essential service? 2:56: The shift in importance of custodial work and other occupations 8:00: Will the perceived value of certain occupations shift? 10:20: Job evaluation 17:45: Are certain essential services now “non-essential”? 22:50: Final thoughts   Mentioned This Episode: NYT artic ..read more

Data has become increasingly common in our day-to-day lives. It has become easier than ever to collect, analyze, and share data than ever before. What implications does this have for us and how we make decisions in organizations? In this episode we discuss the rise of data in society, some of the ethical implications of collecting and using data in organizations, and preview our mini-series on data literacy coming in 2021. Timestamps: 1:45: Where is data becoming more prevalent in society? 8:35: Increased use of data in organizations 10:45: Is collecting more data a good thing? 14:04: How do w ..read more

If you received $1000 per month, no strings attached, how would you spend your time? In this episode, we discuss the concept of universal basic income. We cover some of its potential psychological consequences for the individual and the value of work itself. The conversation turns toward what makes a job viable or not, how to enrich jobs, and the question of whether or not a significant portion of the population would “coast” or spend irresponsibly if given an unconditional monthly stipend.   Timestamps: 1:40: Defining Universal Basic Income 8:52: The future of undesirable jobs under UBI ..read more