Everything has its Price: Foundations of Cost-Sensitive Learning and its Application in Psychology

Psychology has seen an increase in machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification). Off-the-shelf classification algorithms assume that the costs of a misclassification (false-positive or false-negative) are equal. Because this is often not reasonable (e.g., in clinical psychology), cost-sensitive learning (CSL) methods can take different cost ratios into account. We present the mathematical foundations and introduce a taxonomy of the most commonly used CSL methods, before demonstrating their application and usefulness on psychological data, i.e., the drug consumption dataset ($N = 1885$) from the UCI Machine Learning Repository. In our example, all demonstrated CSL methods noticeably reduce mean misclassification costs compared to regular ML algorithms. We discuss the necessity for researchers to perform small benchmarks of CSL methods for their own practical application. Thus, our open materials provide R code, demonstrating how CSL methods can be applied within the mlr3 framework (https://osf.io/cvks7/).

Psychology and Law, Meet Open Science

As the field of psychology and law begins to embrace more transparent and accessible science, many questions arise about what open science actually is and how to do it. In this chapter, we contextualize this reform by examining fundamental concerns about psychological research—irreproducibility and replication failures, false-positive errors, and questionable research practices—that threaten its validity and credibility. Next, we turn to psychology’s response by reviewing the concept of open science and explaining how to implement specific practices—preregistration, registered reports, open materials/data/code, and open access publishing—designed to make research more transparent and accessible. We conclude by weighing the implications of open science for the field of psychology and law, specifically with respect to how we conduct and evaluate research, as well as how we train the next generation of psychological scientists and share scientific findings in applied settings.

Transparency, Documentation, and Open Science

Some GSA journals are especially interested in promoting transparency and open science practices, reflecting how some subdisciplines in aging are moving toward open science practices faster than others. In this talk, I will consider the transparency and open science practices that seem most relevant to aging researchers, such as preregistration, open data, open materials and code, sample size justification and analytic tools for considering null effects. I will also discuss potential challenges to implementing these practices as well as reasons why it is important to do so despite these challenges. The focus will be on pragmatic suggestions for researchers planning and conducting studies now that they hope to publish later.

Replication and Open Science in Applied Linguistics Research

This chapter addresses the role and place of replication research and open science practices in advancing theory building and new research directions in the field of applied linguistics. The chapter begins by describing what replication research is, what the most common types of replication study are, and why carrying out replication matters. Close attention is paid throughout to the ways in which replication benefits from and contributes to a variety of open science initiatives, including open materials, open access and preprints, and preregistration.

One measure to measure them all? Commentary on "Ten steps toward a better personality science"

Leising and colleagues (2021) proposed ten steps to improve personality research. We agree with most of these steps and even more with the desired goals but disagree with the proposition to use exactly one measure for one construct. Keeping the same goals in mind, we suggest an alternative solution, based on open data and open materials. An online repository that contains items and data, additional information about the scale (e.g., mode of collection), and information about the sample (e.g., age, culture), would (1) allow detecting jingle-jangle-fallacies, (2) the development of new and useful measures, (3) provide the opportunity to develop equivalent measures based on different items, and (4) could, eventually, still culminate in one measure for one construct. Ideally, each scale used would, in the long run, be identified by an unambiguous identifier that, when submitted to our suggested repository, could recreate the scale, and provide additional, relevant psychometric information.

The Relationship Between the Application of E-Modules Based on Mangrove Forest Ecotourism on The Peace-Loving Character of Students

Teachers still find it difficult to use technology to develop open materials for students, so that it has an impact on low student learning outcomes. The purpose of this study was to analyze the peace-loving character of students after an electronic module based on local wisdom ecotourism of The Basal Babu Mangrove Forest was applied. This type of research is quantitative with research methods using quantitative associative research. The sample in this study was 32 fourth-grade elementary school students. The sampling technique was total sampling. The techniques used to collect data are observation, interviews, and questionnaires. The data collection instrument used was a questionnaire. The data analysis technique used descriptive statistics and inferential statistics. The result in this study is that the cinta damai character owned by the students has a good category, seen from the peace-loving character after the electronic module based on local wisdom, using the correlation results obtained 0.937 and the results of a positive relationship. This shows that there is a relationship between the peace-loving character and the application of the electronics module. This research implies that the application of this electronic module helps students learn independently and can improve students' character.

Tracing the Adoption and Effects of Open Science in Communication Research*

A significant paradigm shift is underway in communication research as open science practices (e.g., preregistration, open materials) are becoming more prevalent. The current work identified how much the field has embraced such practices and evaluated their impact on authors (e.g., citation rates). We collected 10,517 papers across 26 journals from 2010 to 2020, observing that 5.1% of papers used or mentioned open science practices. Communication research has seen the rate of nonsignificant p-values (p > .055) increasing with the adoption of open science over time, but p-values just below p < .05 have not reduced with open science adoption. Open science adoption was unrelated to citation rate at the article level; however, it was inversely related to the journals’ h-index. Our results suggest communication organizations and scholars have important work ahead to make open science more mainstream. We close with suggestions to increase open science adoption for the field at large.

On Methods and Marshmallows: A Roadmap for Science That Is Openly Feminist and Radically Open

In this commentary, we argue that feminist science and open science can benefit from each other’s wisdom and critiques in service of creating systems that produce the highest quality science with the maximum potential for improving the lives of women. To do this, we offer a constructive analysis, focusing on common methods used in open science, including open materials and data, preregistration, and large sample sizes, and illuminate potential benefits and costs from a feminist science perspective. We also offer some solutions and deeper questions both for individual researchers and the feminist psychology and open science communities. By broadening our focus from a myopic prioritization of certain methodological and analytic approaches in open science, we hope to give a balanced perspective of science that emerges from each movement’s strengths and is openly feminist and radically open.

Tracing the Adoption and Effects of Open Science in Communication Research

A significant paradigm shift is underway in communication research as open science practices (e.g., preregistration, open materials) are becoming more prevalent. The current work identified how much the field has embraced such practices and evaluated their impact on authors (e.g., citation rates). We collected 10,517 papers across 26 journals from 2010-2020, observing that 5.1% of papers used or mentioned open science practices. Communication research has seen the rate of non-significant p-values (ps > .055) increasing with the adoption of open science over time, but p-values just below p < .05 have not reduced with open science adoption. Open science adoption was unrelated to citation rate at the article level; however, it was inversely related to the journals’ h-index. Our results suggest communication organizations and scholars have important work ahead to make open science more mainstream. We close with suggestions to increase open science adoption for the field at large.

Vapour Diffusion Open Arctic Wall: A Comparison of Moisture Accumulation Potential Versus Other Cellulose Superinsulation Strategies

Superinsulation is becoming increasingly attractive in the construction of energy efficient new homes or energy retrofit projects. By increasing the thermal insulation inside walls, new possible unforeseen building durability issues arise that were otherwise not present during standard 2”x6” construction, as there is less potential for drying. The reduced drying is often attributed to using low permeance materials in the building enclosure. One method to combat the reduced drying potential is to use the highest permeable vapour diffusion open materials for all building enclosure components such as the “Arctic Wall”. The purpose of this study is to determine how the Arctic Wall performs in Fairbanks, Alaska in addition to other climates, and how it also compares with other common vapour diffusion open methods. The results of experimental simulation using WUFI 5.2 hygrothermal software have shown that all vapour diffusion open walls have a potential for condensation that is most dominated by the heating load across the climates that were tested. The Arctic Wall was found to be safe to use in all climates using the tested methods, but still poses a potential risk due to potential condensation due to air leakage. The results of this study have shown that the Arctic Wall performed on par with other vapour diffusion open strategies.