Data for a Brief Report/Short Communication published in Body Image (2021). Details of the study are included below via the abstract from the manuscript. The dataset includes online experimental data from 167 women who were recruited via social media and institutional participant pools. The experiment was completed in Qualtrics.Women viewed either neutral travel images (control), body positivity posts with an average-sized model (e.g., ~ UK size 14), or body positivity posts with a larger model (e.g., UK size 18+); which images women viewed is show in the ‘condition’ variable in the data.The data includes the age range, height, weight, calculated BMI, and Instagram use of participants. After viewing the images, women responded to the Positive and Negative Affect Schedule (PANAS), a state version of the Body Satisfaction Scale (BSS), and reported their immediate social comparison with the images (SAC items). Women then selected a lunch for themselves from a hypothetical menu; these selections are detailed in the data, as are the total calories calculated from this and the proportion of their picks which were (provided as a percentage, and as a categorical variable [as used in the paper analyses]). Women also reported whether they were on a special diet (e.g., vegan or vegetarian), had food intolerances, when they last ate, and how hungry they were.

Women also completed trait measures of Body Appreciation (BAS-2) and social comparison (PACS-R). Women also were asked to comment on what they thought the experiment was about. Items and computed scales are included within the dataset.This item includes the dataset collected for the manuscript (in SPSS and CSV formats), the variable list for the CSV file (for users working with the CSV datafile; the variable list and details are contained within the .sav file for the SPSS version), and the SPSS syntax for our analyses (.sps). Also included are the information and consent form (collected via Qualtrics) and the questions as completed by participants (both in pdf format).Please note that the survey order in the PDF is not the same as in the datafiles; users should utilise the variable list (either in CSV or SPSS formats) to identify the items in the data.The SPSS syntax can be used to replicate the analyses reported in the Results section of the paper. Annotations within the syntax file guide the user through these.

A copy of SPSS Statistics is needed to open the .sav and .sps files.

Manuscript abstract:

Body Positivity (or ‘BoPo’) social media content may be beneficial for women’s mood and body image, but concerns have been raised that it may reduce motivation for healthy behaviours. This study examines differences in women’s mood, body satisfaction, and hypothetical food choices after viewing BoPo posts (featuring average or larger women) or a neutral travel control. Women (N = 167, 81.8% aged 18-29) were randomly assigned in an online experiment to one of three conditions (BoPo-average, BoPo-larger, or Travel/Control) and viewed three Instagram posts for two minutes, before reporting their mood and body satisfaction, and selecting a meal from a hypothetical menu. Women who viewed the BoPo posts featuring average-size women reported more positive mood than the control group; women who viewed posts featuring larger women did not. There were no effects of condition on negative mood or body satisfaction. Women did not make less healthy food choices than the control in either BoPo condition; women who viewed the BoPo images of larger women showed a stronger association between hunger and calories selected. These findings suggest that concerns over BoPo promoting unhealthy behaviours may be misplaced, but further research is needed regarding women’s responses to different body sizes.

This component contains the data and syntax code used to conduct the Exploratory Factor Analysis and compute Velicer’s minimum average partial test in sample 1

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study includes data that was used to investigate the effect of legislative and judicial factors on system responses to sex trafficking of minors (STM) in metropolitan and non-metropolitan communities. To accomplish this, researchers evaluated the effectiveness of the immunity, protection, and rehabilitative elements of a state safe harbor law. This project was undertaken as a response to a growing push to pass state safe harbor laws to align governmental and community responses to the reframing of the issue of sex trafficking of minors that was ushered in with the passage of the Trafficking Victims Protection Act (TVPA). This collection includes 4 SPSS files, 3 Excel data files, and 2 SPSS Syntax files: Child-Welfare-Human-Trafficking-Reports-2013-2017-data.xlsx Judicial-Interview-De-identified-Quantitative-Data-for-NACJD_REV_Oct2018.sav (n=82; 36 variables) Judicial-online-survey-data-for-NACJD_REV_Dec2018.sav (n=55; 77 variables) Juvenile-Justice-Screening-for-HT-2015-MU-MU-0009.xlsx Post-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=365; 1029 variables) Pre-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=323; 159 variables) Recode-syntax-for-pre-implementation-survey-for-NACJD.sps Statewide-juvenile-court-charges-2015-MU-MU-0009-to-NACJD.xlsx Syntax-for-post-implementation-survey-data-to-NACJD.sps Qualitative data from judicial interviews and agency open-ended responses to Post-Implementation of the Safe Harbor Law Survey are not available as part of this collection.

I attach data and code to reproduce analyses for manuscript - Personality and Team Identification Predict Violent Intentions Among Soccer Supporters.I have attached the following data files:- Soccer_supporters_raw.sav- Soccer_data_raw.csv- Soccer_data.xlsx- Soccerpathmodel.txtCodebook:- CodeBook_soccersupportersdata.csv*Note that this codebook applies to the raw data.And code:Syntax_soccer_supporters.sps (to be opened in SPSS)*Note that this code is also available in non-proprietary .txt format: Syntax_soccer_supporters.txtSoccerpathmodel.inp (to be opened in MPLUS (Muthén & Muthén, 2012, see also https://www.statmodel.com/ ).

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Supplementary data to "The effects of open-ended probes on closed survey questions in web surveys" by Patricia Hadler, to be published in Sociological Methods & Research. The supplementary data contains the SPSS dataset (.sav) and the syntax for all analyses presented in the results section for replication purposes. The original open-ended answers to the probing questions are not included for reasons of anonymity.

Data and Metadata (plus some SPSS syntax) and Materials for the study 'Motivational relevance modulates the predictive validity of the Implicit Association Test'

[English - below]

Projekta atsauce: «Dzīve līdzās ostai: ekonaratīvi, vietējā vēsture un vides aktīvisms Daugavas lejtecē» (Nr. lzp-2018/1-0446). Projekta vadītāja Dr. philol. Dace Bula. Daļa datu analizēti grāmatā: Dace Bula (zin. red.). Dzīve līdzās ostai. Rīga: LU LFMI, 2022. 184. lpp.

Te deponēts: -- aptaujas metodoloģija (latviski, angliski) -- aptaujas anketa (latviski, krieviski, ar tulkojumu angliski) -- aptaujas rīka LimeSurvey faili (kods) -- aptaujas datu kopsavilkuma, krustojuma tabulas no neanonimizētiem datiem, kā nesvarotiem, tā svarotiem (*.xlsx; *.doc; .pdf) -- vides satraukuma indeksa tabula (.xlsx; *.csv; *.doc; .pdf [atsevišķi publicēta arī https://doi.org/10.5281/zenodo.7305008 un https://docs.google.com/spreadsheets/d/1k4o1cuNXLolHwqVKM1m2tR-5Xgb0Uk0T9OyusYUtUyo/edit?usp=sharing]) -- neanonimizēti aptaujas dati (.sav; *.xlsx [ar kodiem]; *.xlsx [ar vērtībām]; .csv) -- aptaujas datu faila kodu grāmata (codebook) (.xlsx; .txt) -- SPSS sintakses (.sps) -- projekta vizuālā identitāte (autore -- Marika Latsone) -- projekta un aptaujas reklāmattēli

Piezīmes.

-- Tehniski veicām četras aptaujas (četru apkaimju), šis kods un anketas ir no Mangaļsalas iedzīvotāju aptaujas. -- Datu failā ir visu četru aptauju dati kopā. -- Aptaujas tika veiktas divās valodās - LV, RU (LimeSurvey kodā ir abu valodu anketas). Anketa tulkota arī angliski. -- Aptauja veikta ar LimeSurvey V. 3.25.10+210128. -- Anonimizēti dati atvērtā pieejā publicēti atsevišķi -- https://zenodo.org/deposit/6483181.

Project reference: “Living Next to the Port: Eco-Narratives, Local Histories and Environmental Activism in the Daugava Delta” (lzp-2018/1-0446). Project leader Dr. philol. Dace Bula. Part of the data analysed in the book: Dace Bula (ed.). Dzīve līdzās ostai [Living Next to the Port]. Riga: LFMI, 2022. p. 184.

Deposited here: -- Survey methodology (in Latvian, English) -- Questionnaire (in Latvian, Russian, with English translation) -- LimeSurvey survey tool files (code) -- Summary, intersection tables from non-anonymised data, both unweighted and weighted (*.xlsx; *.doc; .pdf) -- Environmental Concern Index table (.xlsx; *.csv; *.doc; .pdf [also published separately at https://doi.org/10.5281/zenodo.7305008 and https://docs.google.com/spreadsheets/d/1k4o1cuNXLolHwqVKM1m2tR-5Xgb0Uk0T9OyusYUtUyo/edit?usp=sharing]) -- Raw data (.sav; *.xlsx [with codes]; *.xlsx [with values]; .csv) -- Codebook of the survey data file (.xlsx; .txt) -- SPSS syntax (. sps) -- Visual identity of the project (author -- Marika Latsone) -- Project and survey promotional images

Notes.

-- Technically we conducted four surveys (four neighbourhoods), this code and questionnaires are from the survey of residents of Mangalsala. -- The data file contains data from all four surveys together. -- The surveys were conducted in two languages -- Latvian and Russian (the LimeSurvey code contains questionnaires in both languages). The questionnaire is also translated into English. -- The survey was conducted with LimeSurvey V. 3.25.10+210128. -- Anonymised survey data in open access published separately -- https://zenodo.org/deposit/6483181.

LU Literatūras, folkloras un mākslas institūts Mūkusalas iela 3 Rīga, LV-1423 Tālr. (371) 67229017 info@lulfmi.lv http://lulfmi.lv

https://www.facebook.com/DziveLidzasOstai http://lulfmi.lv/Dzive-lidzas-ostai https://zenodo.org/communities/ekohum/ http://garamantas.lv/lv/repository/1537251/LZP-projekts-Dzive-lidzas-ostai http://lulfmi.lv/en/Living-Next-to-the-Port [EN]

Atsauce/ Reference https://zenodo.org/record/7348880 https://doi.org/10.5281/zenodo.7348880

This dataset is based upon the literature review published in the paper

Rienties, B., Ferguson, R., Gonda, D., Hajdin, G., Herodotou, C., Iniesto, F., Llorens-Garcia, A., Muccini, H., Sargent, J., Virkus, S., Vittoria Isidori, M. (2024). Education 4.0 in higher education and Computer Science: a systematic review. Computer Applications in Engineering Education.

Education 4.0 is a recently introduced concept focused on innovation, novelty, use of technology, and connections with employment and industry. In particular in engineering disciplines like computer science (CS) it is essential that educators keep up to date with industry developments. Indeed, how CS educators effectively design and implement innovative teaching and learning deserves more systematic attention. This study aims to catalogue and synthesise learning design approaches to teaching and learning within CS: 1) Which innovative pedagogic approaches are used in teaching of CS? 2) Which approaches align with Education 4.0? 3) What skills and competences do educators require to align CS teaching with Education 4.0? Our systematic literature review included CS papers published between 2016 and 2020. 231 studies were identified of which 66 were included in the final phase, which were coded by a multidisciplinary team. The findings indicated that many CS educators included Education 4.0 learning design elements. We found a clear distinctive three-cluster solution: 1) EDU4 light, 2) Project-based/hands-on learning, and 3) Full EDU4. These findings suggest three broad flavours when designing innovative CS practice, which might help educators to align their practice.

The dataset contains three worksheets -Main worksheet with all the used codes -Variables and their labels -Syntax for SPSS to run the dataset (if needed)

Dataset survey methods document and report. There is a dataset in R format plus an SPSS .sav file and an accompanying .sps syntax codefile. Running the syntax file on the .sav file should provide labels etc for the .sav file.

NATIONAL FACE - TO - FACE SURVEYS OF REPRESENTATIVE SAMPLES OF PARENTS OF ELEMENTARY SCHOOL CHILDREN IN 10 SOUTH EAST EUROPEAN COUNTRIES Center for Educational Policy Studies (CEPS) in cooperation with Open Society Institute Education Support Program

Rohdaten der Teilnehmer/innen-Befragung von Jugend hackt 2014 (http://jugendhackt.de). Es wurden zwei Befragungen (vor und nach der Veranstaltung) durchgeführt: gekennzeichnet mit pretest und posttest. Die Kennungen der Teilnehmer/innen wurden anonymisiert. Die Auswertung erfolgte bereits im Rahmen der Masterarbeit von Paula Glaser (http://jugendhackt-de.okblogfarm.org/files/2015/03/Jugend-hackt-Vollversion.pdf). Auf Anfrage kann der Datensatz auch als SPSS-Syntax zur Verfügung gestellt werden.