Many university and polytechnic students in New Zealand are asked to use APA citation style in theirwriting assignments. However, a literature review on major works published in the last 10 years foundno studies examining how well New Zealand students handle APA style. Moreover, in my daily work inan academic library, I have noticed many of our students have difficulties in formatting papers usingAPA style.Taking a different approach, this research used a specifically designed test to probe for the mostcommon problems students face with formatting APA reference list and in-text citation. This approachwas based on the following considerations: (a) to facilitate a quantitative comparison and analysis ofeach APA element; (2) to verify this research approach, which was hardly used before. Special attentionwas paid to digital resources (e.g., blog post, video stream, etc.) to reflect a growing digital academicand research environment. Furthermore, this test has a strong focus on information resourcesrelevant to New Zealand.The research findings show that students’ APA style skills remained at the basic level. They had someideas about the rules, but did not comply with many of them. One significant finding is that theylacked the skills to judge the nature of information sources. Students generally performed well withthose information resources with which they are familiar. The research findings provide a snapshot onhow a sample of international students performed regarding APA style, and may inform the design ofa future APA style training session.

APA stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

DEplain: A corpus for German Text SimplificationThis repository contains the corpus called DEplain-APA for German text simplification (document and sentence simplification). The corpus contains Austrian nexts text provided by the APA - Austria Presse Agentur eG. All of the sentence-wise aligned pairs (complex-simple) are manually aligned. The following table summarizes the most important meta data of the corpus.

meta data value

language DE-AT (Austrian German)

domain news

source language level B1

target language level A2

document pairs (total, train/dev/test)

483 (387/48/48)

sentence pairs (total, train/dev/test)

13,122 (10,660/1,231/1,231)

complex sentences

25,607

simple sentences

26,471

Updates:

Version 1.2: More system outputs are added. For comparisons of your models with existing models, please have a look at ./DEPlain/G_Automatic_Text_Simplification_Experiments/generated_outputs/sentence-level.

Version 1.1: Alignment Labels in Simplification Plans are repaired. For more info see https://github.com/rstodden/DEPlain/issues/2#issue-1875006089

For more information, please have a look at our paper. If you use this corpus, please also cite our paper and name APA - Austria Presse Agentur eG as data provider:

Regina Stodden, Omar Momen, and Laura Kallmeyer. 2023. DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 16441–16463, Toronto, Canada. Association for Computational Linguistics.

For more information regarding available system outputs and comparisons between these models, please have a look at the following paper:

Regina Stodden. 2024. Reproduction & Benchmarking of German Text Simplification Systems. In Proceedings of the Workshop on DeTermIt! Evaluating Text Difficulty in a Multilingual Context @ LREC-COLING 2024, pages 1–15, Torino, Italia. ELRA and ICCL.

This is a repository for codes and datasets for the open-access paper in Linguistik Indonesia, the flagship journal for the Linguistic Society of Indonesia (Masyarakat Linguistik Indonesia [MLI]) (cf. the link in the references below).To cite the paper (in APA 6th style):Rajeg, G. P. W., Denistia, K., & Rajeg, I. M. (2018). Working with a linguistic corpus using R: An introductory note with Indonesian negating construction. Linguistik Indonesia, 36(1), 1–36. doi: 10.26499/li.v36i1.71To cite this repository:Click on the Cite (dark-pink button on the top-left) and select the citation style through the dropdown button (default style is Datacite option (right-hand side)This repository consists of the following files:1. Source R Markdown Notebook (.Rmd file) used to write the paper and containing the R codes to generate the analyses in the paper.2. Tutorial to download the Leipzig Corpus file used in the paper. It is freely available on the Leipzig Corpora Collection Download page.3. Accompanying datasets as images and .rds format so that all code-chunks in the R Markdown file can be run.4. BibLaTeX and .csl files for the referencing and bibliography (with APA 6th style). 5. A snippet of the R session info after running all codes in the R Markdown file.6. RStudio project file (.Rproj). Double click on this file to open an RStudio session associated with the content of this repository. See here and here for details on Project-based workflow in RStudio.7. A .docx template file following the basic stylesheet for Linguistik IndonesiaPut all these files in the same folder (including the downloaded Leipzig corpus file)!To render the R Markdown into MS Word document, we use the bookdown R package (Xie, 2018). Make sure this package is installed in R.Yihui Xie (2018). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.6.

When using this dataset, either in parts or full, please cite the original article that contributed to this dataset. Dataset may not be used, reprinted or distributed in any form without prior permission from the corresponding author. APA citation for the original article: Maitra, V., Shi, J., & Lu, C. (2022). Robust prediction and validation of as-built density of Ti-6Al-4V parts manufactured via selective laser melting using a machine learning approach. Journal of Manufacturing Processes, 78, 183-201.

This dataset includes 446 cleaned as-built data instances mined from 44 papers, which are referenced in the file.

The datacitation extension for CKAN aims to facilitate proper data citation practices within the CKAN data catalog ecosystem. By providing tools and features to create and manage citations for datasets, the extension promotes discoverability and acknowledgment of data sources, enhancing the reproducibility and transparency of research and analysis based on these datasets. The available information is limited, but based on the name, the extension likely focuses on generating, displaying, and potentially exporting citation information. Key Features (Assumed based on Extension Name): * Dataset Citation Generation: Likely provides functionality to automatically generate citation strings for datasets based on metadata fields, adhering to common citation formats (e.g., APA, MLA, Chicago). * Citation Metadata Management: Potentially offers tools to manage citation-related metadata within datasets, such as author names, publication dates, and version numbers, which are essential elements for creating accurate citations. * Citation Display on Dataset Pages: It's reasonable to expect that the extension displays the generated citation information prominently on the dataset's display page, facilitating easy access for users. * Citation Export Options: May provide options to export citations in various formats (e.g., BibTeX, RIS) to integrate with reference management software popular among researchers. * Citation Style Customization: Possibly provides configuration options to customize the citation style used for generation, accommodating different disciplinary requirements. Use Cases (Inferred): 1. Research Data Repositories: Data repositories can utilize datacitation to ensure that researchers cite datasets correctly, which is crucial for tracking the impact of data and recognizing the contributions of data creators. 2. Government Data Portals: Government agencies can implement the extension to promote the proper use and attribution of open government datasets, fostering transparency and accountability. Technical Integration: Due to limited information, the integration details are speculative. However, it can be assumed that the datacitation extension likely integrates with CKAN by: * Adding a new plugin or module to CKAN that handles citation generation and display. * Extending the CKAN dataset schema to include citation-related metadata fields. * Potentially providing API endpoints for programmatic access to citation information. Benefits & Impact: The anticipated benefits of the datacitation extension include: * Improved data discoverability and reusability through proper citation practices. * Enhanced research reproducibility and transparency by ensuring that data sources are properly acknowledged. * Increased recognition of data creators and contributors. * Simplified citation management for users of CKAN-based data catalogs. Disclaimer: The above information is largely based on assumptions derived from the extension's name and common data citation practices. The actual features and capabilities of the datacitation extension may vary due to the unavailability of a README file.

Since 2007, the American Psychological Association (APA) has commissioned an annual nationwide survey as part of its Mind/Body Health campaign to examine the state of stress across the country and understand its impact. The Stress in America survey measures attitudes and perceptions of stress among the general public and identifies leading sources of stress, common behaviors used to manage stress and the impact of stress on our lives. The results of the survey draw attention to the serious physical and emotional implications of stress and the inextricable link between the mind and body. From 2007 to 2023, the research has documented this connection among the general public as well as various sub-segments of the public. Each year, the Stress in America surveys aims to uncover different aspects of the stress/health connection via focusing on a particular topic and/or subgroup of the population. Below is a list of the focus of each of the Stress in America surveys. 2007-2018 Cumulative Dataset 2007 General Population 2008 Gender and Stress 2009 Parent Perceptions of Children's Stress 2010 Health Impact of Stress on Children and Families 2011 Our Health Risk 2012 Missing the Health Care Connection 2013 Are Teens Adopting Adults' Stress Habits 2014 Paying With Our Health 2015 The Impact of Discrimination 2016 Coping with Change, Part 1 2016 Coping with Change, Part 2: Technology and Social Media 2017 The State of Our Nation 2018 Stress and Generation Z 2019-2023 Cumulative Dataset 2019 Stress and Current Events 2020 COVID Tracker Wave 1 2020 COVID Tracker Wave 2 2020 COVID Tracker Wave 3 2020 A National Mental Health Crisis 2021 Pandemic Anniversary Survey 2021 Stress and Decision-Making During the Pandemic 2022 Pandemic Anniversary Survey 2022 Concerned for the Future, Beset by Inflation 2023 A Nation Recovering From Collective Trauma

Physical literacy is a multidimensional construct that has been defined and interpreted in various ways, one of the most common being “the motivation, confidence, physical competence, knowledge and understanding to maintain physical activity throughout the life course”. Although its improvement can positively affect many behavioral, psychological, social, and physical variables, debate remains over an appropriate method of collecting empirical physical literacy data. This systematic review sought to identify and critically evaluate all primary studies (published and unpublished, regardless of design or language) that assessed physical literacy in adults or have proposed measurement criteria. Relevant studies were identified by searching four databases (Pubmed, SportDiscus, APA PsycINFO, Web of Science), scanning reference lists of included articles, and manual cross-referencing of bibliographies cited in prior reviews. The final search was concluded on July 15, 2022. Thirty-one studies, published from 2016 to 2022, were analyzed. We found seven instruments measuring physical literacy in adults, of which six were questionnaires. The Perceived Physical Literacy Instrument was the first developed for adults and the most adopted. The included studies approached physical literacy definition in two ways: by pre-defining domains and assessing them discretely (through pre-validated or self-constructed instruments) and by defining domains as sub-scales after factorial analyses. We found a fair use of objective and subjective measures to assess different domains. The wide use of instruments developed for other purposes in combined assessments suggests the need for further instrument development and the potential oversimplification of the holistic concept, which may not result in a better understanding of physical literacy. Quality and usability characteristics of measurements were generally insufficiently reported. This lack of data makes it impossible to compare and make robust conclusions. We could not identify if any of the existing physical literacy assessments for adults is appropriate for large-scale/epidemiological studies.