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Full-Text Articles in Social and Behavioral Sciences

Zero Textbook Cost Syllabus For Psy 2100 (Statistics For Social Science), Adam Shavit Oct 2020

Zero Textbook Cost Syllabus For Psy 2100 (Statistics For Social Science), Adam Shavit

Open Educational Resources

You will learn to summarize, make sense of, and base decisions on real life data. You will learn to read and create verbal and graphical summaries from measurements, for example from randomized experiments and correlational surveys. You will also learn to estimate your confidence in a pattern of results. This will be applied to inferring from limited observations to more general phenomenon, and to compare differences between groups. We will also learn to describe and quantify co-variation between measurements. In addition, you will get experience in conducting statistical analyses using software, working on real datasets from psychological experiments.


Neural Mechanisms Of Cognitive Individual Difference: An Investigation Of The Human Connectome Project, Shelly Renee Cooper May 2020

Neural Mechanisms Of Cognitive Individual Difference: An Investigation Of The Human Connectome Project, Shelly Renee Cooper

Arts & Sciences Electronic Theses and Dissertations

Considering individual differences in task activation functional magnetic resonance imaging (t-fMRI) can be challenging because they may arise from variability in activity in brain regions, in the tasks themselves, or some combination thereof. Delineating sources of between-subjects variance is particularly important for cognitive control where task goals are at the forefront. Here we applied structural equation modeling (SEM) to the Human Connectome Project to examine if activity could be partitioned into separable brain and task individual difference dimensions. A series of SEMs were defined with varying numbers of latent factors, where the inputs were parcels of two cognitive control-related brain …


Eeg Reinvestigations Of Visual Statistical Learning For Faces, Scenes, And Objects, Mei Grace Behrendt, P. Cheng Lim, Aaron T. Halvorsen, Karl Kuntzelman, Matthew R. Johnson Apr 2020

Eeg Reinvestigations Of Visual Statistical Learning For Faces, Scenes, And Objects, Mei Grace Behrendt, P. Cheng Lim, Aaron T. Halvorsen, Karl Kuntzelman, Matthew R. Johnson

UCARE Research Products

The objective of this ongoing, replication study is to understand temporal and spatial patterns in our environment by using the technique of electroencephalography (EEG). Visual statistical learning (VSL) helps us to understand conditional probabilities from our environments. This concept is why we know that chairs are located under tables, not above. The goal of this study is to understand whether participants can unconsciously associate pairs of items (faces, scenes, and objects) from their short-term memory. Strong pairs become more similar to each other, as compared to weak pairs, which become less similar. In the main task, participants saw items appear …


A Monte Carlo Analysis Of Thorndike's Indirect Range Restriction Correction Equations, Michael Thomas Pelayo Apr 2020

A Monte Carlo Analysis Of Thorndike's Indirect Range Restriction Correction Equations, Michael Thomas Pelayo

Masters Theses & Specialist Projects

Employee selection is an important process for organizations. Organizations seek to select the best employees for their available positions. Testing is key to many selection efforts. The results of studies assessing the criterion-related validity of a selection test are affected by a number of statistical artifacts, one of which is range restriction. Range restriction has the effect of attenuating the correlation coefficient. Statistical equations exist to correct for the effects of range restriction, and they enable researchers to obtain a more accurate estimate of the validity coefficient. Thorndike (1949) developed the best known and most frequently used of these correction …


The Author’S Reflections On No B.S. (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, Ivory A. Toldson Jan 2020

The Author’S Reflections On No B.S. (Bad Stats): Black People Need People Who Believe In Black People Enough Not To Believe Every Bad Thing They Hear About Black People, Ivory A. Toldson

Numeracy

Toldson, Ivory. A. 2019. No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear About Black People (Boston, MA: Brill-Sense) 194 pp. ISBN 978-9004397026.

This essay provides an introduction to No BS (Bad Stats): Black People Need People Who Believe in Black People Enough Not to Believe Every Bad Thing They Hear About Black People. In the essay, the author discusses how cynical views about the educational potential of Black children motivated him to write a book that challenges negative statistics. The essay also outlines the harmful …