The best way to learn how to program is to do something useful, so this introduction to Python is built around a common scientific task: data analysis. Arthritis Inflammation We are studying inflammation in patients who have been given a new treatment for arthritis, and need to analyze the first dozen data sets of their daily inflammation. The data sets are stored in comma-separated values (CSV) format: each row holds information for a single patient, columns represent successive days. The first three rows of our first file look like this: 0,0,1,3,1,2,4,7,8,3,3,3,10,5,7,4,7,7,12,18,6,13,11,11,7,7,4,6,8,8,4,4,5,7,3,4,2,3,0,0 0,1,2,1,2,1,3,2,2,6,10,11,5,9,4,4,7,16,8,6,18,4,12,5,12,7,11,5,11,3,3,5,4,4,5,5,1,1,0,1 0,1,1,3,3,2,6,2,5,9,5,7,4,5,4,15,5,11,9,10,19,14,12,17,7,12,11,7,4,2,10,5,4,2,2,3,2,2,1,1 Each number represents the number of inflammation bouts that a particular patient experienced on a given day. For example, value “6” at row 3 column 7 of the data set above means that the third patient was experiencing inflammation six times on the seventh day of the clinical study. So, we want to: Calculate the average inflammation per day across all patients. Plot the result to discuss and share with colleagues. To do all that, we’ll have to learn a little bit about programming.

The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data analysis. Our real goal isn’t to teach you R, but to teach you the basic concepts that all programming depends on. We use R in our lessons because: we have to use something for examples; it’s free, well-documented, and runs almost everywhere; it has a large (and growing) user base among scientists; and it has a large library of external packages available for performing diverse tasks. But the two most important things are to use whatever language your colleagues are using, so you can share your work with them easily, and to use that language well. We are studying inflammation in patients who have been given a new treatment for arthritis, and need to analyze the first dozen data sets of their daily inflammation. The data sets are stored in CSV format (comma-separated values): each row holds information for a single patient, and the columns represent successive days. The first few rows of our first file look like this: 0,0,1,3,1,2,4,7,8,3,3,3,10,5,7,4,7,7,12,18,6,13,11,11,7,7,4,6,8,8,4,4,5,7,3,4,2,3,0,0 0,1,2,1,2,1,3,2,2,6,10,11,5,9,4,4,7,16,8,6,18,4,12,5,12,7,11,5,11,3,3,5,4,4,5,5,1,1,0,1 0,1,1,3,3,2,6,2,5,9,5,7,4,5,4,15,5,11,9,10,19,14,12,17,7,12,11,7,4,2,10,5,4,2,2,3,2,2,1,1 0,0,2,0,4,2,2,1,6,7,10,7,9,13,8,8,15,10,10,7,17,4,4,7,6,15,6,4,9,11,3,5,6,3,3,4,2,3,2,1 0,1,1,3,3,1,3,5,2,4,4,7,6,5,3,10,8,10,6,17,9,14,9,7,13,9,12,6,7,7,9,6,3,2,2,4,2,0,1,1 We want to: load that data into memory, calculate the average inflammation per day across all patients, and plot the result. To do all that, we’ll have to learn a little bit about programming.

The soup-to-nuts exercises take students through the entire process of research with statistical data, from the very beginning when they first access the original data, through cleaning and processing the data to prepare them for analysis, to the very end when they generate the results that they present in a written report. Throughout each exercise, there will be an emphasis on adopting a transparent workflow and constructing replication documentation that ensures all the work done for the exercise can be independently reproduced.

Imagine delivering targeted advertising content to consumers' mobile devices based on their location. Imagine knowing where consumers’ spend the most time on your property. Imagine being able to identify consumers’ within a given location and make purchase suggestions based on their order history. This reading examines current trends in marketing technology focusing on wearables and personal devices, beacons, and proximity marketing in the modern society.

Short Description:
Psychology research methods readings for students enrolled in PSY 321 at Portland State University

Word Count: 129140

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The Publishing Trap is an open educational board game designed to teach researchers, academics, doctoral students, librarians and other professionals in higher education about the impact of publishing and scholarly communication choices they make throughout their career. Following the COVID-19 pandemic the game has been shifted to be played online using virtual classroom / webinar software (e.g Zoom, Microsoft Teams). The team nature of the game requires break-out room functionality to allow each team to confer during each round of the game.

The focus of this resource is primarily on the underrepresented area of publicly engaged scholarship. It addresses a wide range of MLIS students and LIS professionals based at universities, especially those whose mission explicitly encompasses engaged scholarship initiatives. The resource also spotlights publicly engaged publishing initiatives that provide examples of scholarly communications projects with social justice values such as equity, access, fairness, inclusivity, respect, ethics, and trust deeply embedded in their design. 

While examples shared in the first iteration of the resource will focus on model practices primarily in North America, the values-based nature of the resource will have global appeal. This resource describes the publishing challenges that publicly engaged scholars often encounter and offers a framework for tackling these challenges. Video interviews and insights are included to provide a range of viewpoints from scholars, advocates, and instructors.

A guide for Indigenization of post-secondary institutions. A professional learning series.

Short Description:
A Guide for Researchers, Hiłḵ̓ala is part of a learning series for public post-secondary staff to begin or supplement ways to Indigenize the institution and professional practice.

Word Count: 14980

ISBN: 978-1-77420-101-5

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Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about Python syntax, the Jupyter notebook interface, and move through how to import CSV files, using the pandas package to work with data frames, how to calculate summary information from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from Python.

Neste documento está contido o QR Code para acesso direto à plataforma PlayStore, onde o aplicativo SchistoAqui está hospedado.

Short Description:
This guide is designed to support health and social care researchers and practitioners to conduct qualitative research. (Published 2023)

Long Description:
This guide is designed to support health and social care researchers and practitioners to integrate qualitative research into the evidence base of health and social care research. Qualitative research designs are diverse and each design has a different focus that will inform the approach undertaken and the results that are generated. The aim is to move beyond the “what” of qualitative research to the “how”, by (1) outlining key qualitative research designs for health and social care research – descriptive, phenomenology, action research, case study, ethnography, and grounded theory; (2) a decision tool of how to select the appropriate design based on a guiding prompting question, the research question and available resources, time and expertise; (3) an overview of mixed methods research and qualitative research in evaluation studies; (4) a practical guide to data collection and analysis; (5) providing examples of qualitative research to illustrate the scope and opportunities; and (6) tips on communicating qualitative research.

Cover design by Les Thomas

Word Count: 19906

ISBN: 978-0-6457554-0-4

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The Question Authority lesson is mapped to the Authority is Constructed and Contextual Frame. The lesson introduces the concept of authority in the research process, that it is constructed and contextual, and that the authority sought changes based on the research question. Criteria for evaluating authority are discussed, as is the idea that not all voices are represented in authoritative conversations.

** This resource is published by The Right Question Institute.The Question Formulation Technique builds students’ ability to ask and learn from their own questions — an essential life skill. The ability to ask questions allows young people to assess with a critical eye what they see in the news, online, and on social media. It helps them become more confident and ready to participate in civic life.

Word Count: 8721

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A printable form to give to students after class to get quick feedback on how they found the lesson using a simple likert emoji scale, then by commenting upon what they learned and what they are still uncertain about. Form is a downloadable editable pdf.This form was used for a 'Finding information in the library' workshop, but you can adapt it for any workshop.License is CC-BY-SA,...except for the icons which are CC-BY:agree, undecided & disagree by JS Beaulieu from the Noun Project, thenounproject.com 

A Guide for People with No Coding Experience

Short Description:
If you do not know where to start with R and R Studio, this short book is for you.

Long Description:
This book covers the basics of R and R Studio for people with no coding experience and no computer science background. It is for both beginner students and people whose job might require them to get into data analysis and statistics with no prior background. This is the book to get you started in understanding the logic of the R language in the R Studio environment so you can then move on to more difficult topics.

It is also part of the first unit of work for the College of Dupage courses Introduction to Data Science (Sociology 1205), and Introduction to Research Methods (Sociology 2200).

Word Count: 2862

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Table of Contents:Section 1: Setting Up Your Raspberry PiSection 2: Using Your Raspberry PiSection 3: Getting Started With Your Raspberry PiSection 4: Activities for BeginnersThis is an edited (for structure) and compiled OER of the first three tutorials and some selected activities from Raspberrypi.org. All materials from the RaspberryPi Foundation are licensend under a Creative Commons Attribution-ShareAlike 4.0 International license.

Students answer several questions about Rayleigh fractionation and the oxygen isotope composition of ice cores which require them to manipulate the values and equations in a MS Excel spreadsheet. This helps them to see how the oxygen isotope composition of ice cores changes with temperature in the high latitudes. Future iterations of the exercise should include a visualization of the Clausius-Clapeyron equation.

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This is the guidebook that explains all the steps that were followed and provide information on how to replicate the project in your school, district or region. The Reaching Out: Meeting the Needs of Rural School Librarians project was made possible in part by the Institute of Museum and Library Services IMLS number RE-70- 18-0050-18.