SPSS Data sets for study 1 to 3

SPSS Data Sets Study 1 & 2(Glück, J. & Scherpf, A. (2022). Intelligence and wisdom: Age-Related Differences and Nonlinear Relationships. Manuscript submitted for publication (copy on file with author).

This is the raw data file with which the analysis of the paper entitled ' Gratefully received, gratefully repaid: the role of perceived fairness in cooperative interactions' was carried out. Please refer to the dataset explanatory document (http://figshare.com/articles/Explanatory_Document_for_the_SPSS_Data_File_of_the_Study/1243735) for details.

Tasks, data files, and SPSS analysis scripts for the paper "People in pain make poorer decisions".

Data from an online questionnaire study with 145 participants self-identified as dancers who had experienced a significant dance-related injury.

Data collected from U.S. workers. Survey delivered and sample obtained using Prolific (https://www.prolific.co/), with a sample representative of the U.S. population across age, gender and ethnicity. The high performance cycle questionnaire was developed by Borgogni and Dello Russo (2012). A self-report questionnaire developed by Onwezen, van Veldhoven and Biron (2014) was used to assess job performance. Data was transferred to SPSS AMOS for structural equation modeling analysis.

Complete data for study

SPSS data file

SMaRteN, in partnership with Vitae, conducated research into the impact of COVID-19 on the working lives of doctoral researchers and research staff. This is the Time 2 data set. Data was collected at the end of September and start of October 2020. Please see link at bottom of page for the first data set.SMaRteN www.smarten.org.ukThe UK Research and Innovation (UKRI) funded Student Mental Health Research Network (SMaRteN) is working to support and encourage better research into student mental health. SMaRteN is based at Institute of Psychiatry, Psychology and Neurosciences at King’s College London.Vitae is a non-profit programme supporting the professional and career development of researchers. www.vitae.ac.uk @vitae_newsCovid-19 and the associated lock down has caused substantive disruption to the study and work of doctoral students and researchers in universities. The response to the pandemic has varied across universities and research funders.SMaRteN and Vitae aim to develop a national picture for how doctoral researchers and research staff have been affected by the pandemic.​The survey includes questions relating to the impact of COVID-19 on research work, mental wellbeing, social connection. We further address the impact of COVID-19 on changes to employment outside of academia, living arrangements and caring arrangements and the consequent effect of these changes on research work. The survey considers the support provided by supervisors / line managers and by universities.Data available here as either an SPSS or Excel download:SPSS file contains labelsExcel file contains labels and brief notes about codingRecoding data for CV19 impact - SPSS Syntax file describes steps taken to code dataCV19_impact_on_researchers - word document, export from Qualtrics of the survey.Please note, data has been removed from this data set to ensure participant anonymity.For further information, please contact Dr Nicola Byrom - nicola.byrom@kcl.ac.uk

This file is an explanatory document as regards the different variables included in the SPSS data file (DOI:http://figshare.com/articles/SPSS_Data_File_of_the_Study/1243747) of the present study.

This data set contains the replication data and supplements for the article "Knowing, Doing, and Feeling: A three-year, mixed-methods study of undergraduates’ information literacy development." The survey data is from two samples: - cross-sectional sample (different students at the same point in time) - longitudinal sample (the same students and different points in time)Surveys were distributed via Qualtrics during the students' first and sixth semesters. Quantitative and qualitative data were collected and used to describe students' IL development over 3 years. Statistics from the quantitative data were analyzed in SPSS. The qualitative data was coded and analyzed thematically in NVivo. The qualitative, textual data is from semi-structured interviews with sixth-semester students in psychology at UiT, both focus groups and individual interviews. All data were collected as part of the contact author's PhD research on information literacy (IL) at UiT. The following files are included in this data set: 1. A README file which explains the quantitative data files. (2 file formats: .txt, .pdf)2. The consent form for participants (in Norwegian). (2 file formats: .txt, .pdf)3. Six data files with survey results from UiT psychology undergraduate students for the cross-sectional (n=209) and longitudinal (n=56) samples, in 3 formats (.dat, .csv, .sav). The data was collected in Qualtrics from fall 2019 to fall 2022. 4. Interview guide for 3 focus group interviews. File format: .txt5. Interview guides for 7 individual interviews - first round (n=4) and second round (n=3). File format: .txt 6. The 21-item IL test (Tromsø Information Literacy Test = TILT), in English and Norwegian. TILT is used for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seeking information. The test is multiple choice, with four alternative answers for each item. This test is a "KNOW-measure," intended to measure what students know about information literacy. (2 file formats: .txt, .pdf)7. Survey questions related to interest - specifically students' interest in being or becoming information literate - in 3 parts (all in English and Norwegian): a) information and questions about the 4 phases of interest; b) interest questionnaire with 26 items in 7 subscales (Tromsø Interest Questionnaire - TRIQ); c) Survey questions about IL and interest, need, and intent. (2 file formats: .txt, .pdf)8. Information about the assignment-based measures used to measure what students do in practice when evaluating and using sources. Students were evaluated with these measures in their first and sixth semesters. (2 file formats: .txt, .pdf)9. The Norwegain Centre for Research Data's (NSD) 2019 assessment of the notification form for personal data for the PhD research project. In Norwegian. (Format: .pdf)

This is a database in SPSS format. This database contains all the data used in the investigation. It uses three measuring instruments: TIPI, ERQ and RESE. The data is provided by the authors.

This dataset belongs with the article "A daily diary study on adolescents’ mood, empathy, and prosocial behavior during the COVID-19 pandemic" published in PLOS ONE. This package includes a complete and shortened version of the merged data file. Furthermore, a separate file was uploaded for each GEE analysis as these data were transformed from wide to long format. A README file was uploaded with additional information regarding the data. Original data files for each of the time points are available upon request by emailing to s.vandegroep@essb.eur.nl or crone@essb.eur.nl.

1. Raw Data in Spss-all variables

In the Spss file, you can find the scores of 68 students (12 years old; Female = 34, Male = 34 ) originally from an intervention study. Student's emotional awareness (EA) and Internalizing problems (IP) score measured at Time1 and one month later at Time 2. For measuring EA, the level of emotional awareness scale (LEAS-C) and for measuring IP, the Strength and Difficulty questionnaire is used. The internalizing problems score obtained by summing up the emotional and peer problem scales.

1. R-script for the Cross-Lagged Panel Model (CLPM) and two-factor latent model using Lavaan package (Rosseel, 2012)

Original data in IBM® SPSS® Statistics 25

The data files submitted here are related to the research, in which we compared psychological and biological indicators of life history strategies of criminals (N=84) and control group - men without criminal record (N=117), working as soldiers (N =32, the last 32 items in the dataset) and firefighters (N =85, the first 85 items in the dataset).

We hypothesized that there would be differences in life history strategies employed by these two groups of subjects and we also expected that biological and psychological life history indicators used in the study would correlate with each other as, according to life history theory, they are reflections of one consistent life history strategy.

We used two questionnaires: the Mini-K (Figueredo et al., 2006) used to assess psychological aspects of life history strategy and the questionnaire we created to measure biological life history variables such as age of the subjects’ parents at the appearance of their first child, father presence, number of biological siblings and step-siblings, twins in family, intervals between subsequent mother’s births, age at sexual onset, having children, age of becoming a father, number of offspring, number of women with whom the subjects have children and life expectancy. The research on criminals took place in medium-security correctional institution. Firefighters and soldiers participated in the study in their workplaces. All subjects were completing questionnaires in a paper-and-pencil version.The participation was voluntary.

The results showed that criminals tended to employ faster life history strategies than men who have not been incarcerated, but this regularity only emerged in relation to biological variables. There were no intergroup differences in the context of psychological indicators of LH strategy measured by the Mini-K. Moreover, the overall correlation between the biological and psychological LH indicators used in this study was weak. Thus, in our study biological indicators proved to reliably reflect life history strategies of the subjects, in contrast to psychological variables.

All statistical analysis was performed using SPSS and Statistica. Raw data as well as encoded data in SPSS format are attached.

Figueredo, A.J., Vásquez, G., Brumbach, B.H., Schneider, S.M.R., Sefcek, J.A., Tal, I.R., Hill, D., Wenner, C.J., & Jacobs, W.J. (2006). Consilience and life history theory: From genes to brain to reproductive strategy. Developmental Review, 26, 243-275.

The purpose of this dataset is to share the positive psychology intervention of university students. The results obtained from this dataset, the descriptive analysis and the statistical analyses performed on this data were developed using SPSS and give rise to a scientific article (currently under review).

This dataset contains raw data and their corresponding results files associated with a recent study. Each MS Excel spreadsheet entails the data for one aspect of study which is specified by name of the file.The information about participants i.e. personal and demographic, responses for first SD scale, second SD scale and personal evaluation are presented in each spreadsheet. The supplemental material (participant information sheet, informed consent form, online questionnaire, risk assessment form) are also enclosed with this dataset. Lastly, for the analysis of raw data, statistical test such as; independent sample t-test was performed. The original SPSS data files are also included.

Dataset used for a study titled "Does Positivity Mediate the Relation of Extraversion and Neuroticism with Subjective Happiness?"

People who witness acts of terrorism, directly or indirectly, can experience negative psychological effects. Research has shown the underlying psychology of terrorism is fear, commonly associated with ongoing terrorism threat. Persistent fear of perceived terrorism threat may manifest as terrorism catastrophisation (TC). Investigation of literature revealed an integrated web of unexplored relationships which may predict and moderate TC. Survey data from a sample of 382 participants (aged 18-75, M = 38.74; 67% female), and was analysed using SPSS software.