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Week08

Human Systems Data

Human Systems Engineering 598 is a graduate level methods course on data analytics with human subjects data at Arizona State University. The instructor is Dr. Erin Chiou, Assistant Professor of Human Systems Engineering.

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Week08

Kyle Walter in Human Systems Data

Mar 18, 2017

Why the Witch Doctor Headdress is last Season’s Fashion in the Psychology Community: The Replication Crisis and Why it’s Bad Juju.

In today’s society, everything is variable. Each human behaves in different ways and subsequently reacts in…

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Maya Toteva in Human Systems Data

Mar 14, 2017

“P” — The Slayer of Hypothesis

(and academic careers)

Statistical terminology is not something we use frequently in your daily conversations, at least most of us don’t. So, when reading this week’s articles, I had to refresh my understanding of P-value.

Pouria Salehi in Human Systems Data

Mar 15, 2017

The Ambiguity of p-value

This week’s article, video and two posts (1 and 2) are very interesting to me. It is because previously, I thought about the key question the article asks: what if testing the null hypothesis is beyond the amount of p-value? For instance, for some reasons we got a small p-value while…

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Eric del Rio in Human Systems Data

Mar 14, 2017

The Process is Failing the Goal

Hi Folks,

In my last post I shared insights from An Introduction to Statistical Learning: with Applications in R and my journey through a First attempt at Regression using R (James, 2013).

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Jacob Willinger in Human Systems Data

Mar 14, 2017

Slaves to significance

Next month is a significant month for me: I finally finish all of my coursework for the program as well as complete my thesis proposal. My thesis defense will be later in the summer, and them I’m done; I will have finished the race. I know that even if I don’t find significance in my…

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Maxine in Human Systems Data

Mar 14, 2017

Replication Crisis is not only the problem of p-value.

Replication crisis is a scientific methodological phenomenon in which the result of some experiments can hardly be replicated in the subsequent studies (Schooler, 2014). It might be caused by different factors. In this investigation, I…

Kyrsten Novak in Human Systems Data

Mar 14, 2017

The collapse of the statistical empire

This week’s reading discussed misinterpretations and other concerns within the social sciences community. For this post, I decided to dive deep into Gelman’s (2016) timeline that led to the replication crisis, more specifically, I focused on the year 2008.

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Anders Orn in Human Systems Data

Mar 14, 2017

Can you turn that noise down, please?

One of the most troublesome aspects of the behavioral sciences is the bountiful presence of noise (Gelman, 2017). By noise, I mean the variability that fogs our ability to tell if changes in the independent variable had any effect on the dependent variable. Humans…

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Aaron Bradbury in Human Systems Data

Mar 14, 2017

Why Reporting Human Data is Changing

Psychology, a field dedicated to human subject research, is inundated with natural noise. This noise distorts experimentation, which in turn effects the statistics used to explain experimental results. In many ways, noise is a constant factor in human data and…

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Verica Buchanan in Human Systems Data

Mar 14, 2017

Avenues of Improving Statistical Research Practices

One of the most valuable elements of this week’s reading (Greenland et. al., 2016; Gelman, 2016; Gelman, 2017) was that the authors provided a detailed account of the numerous misconceptions about p-values, confidence intervals, and power…

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