24 datasets found
  1. Key figures regarding infidelity in India 2020

    • statista.com
    Updated Aug 24, 2023
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    Statista (2023). Key figures regarding infidelity in India 2020 [Dataset]. https://www.statista.com/statistics/1265747/india-infidelity-statistics/
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    Dataset updated
    Aug 24, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    India
    Description

    According to a report released by Gleeden, an online dating platform for extra-marital affairs, 77 percent of female Gleeden users in India who have cheated on their spouse did so due to being bored by a monotonous married life. The report also found that 72 percent of unfaithful women did not regret cheating.

  2. Respondents who have admitted to infidelity in the United States 1960-2021

    • statista.com
    Updated Aug 9, 2024
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    Respondents who have admitted to infidelity in the United States 1960-2021 [Dataset]. https://www.statista.com/statistics/1367073/us-reported-to-infidelity/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, around 21 percent of respondents in the United States admitted to have cheated on any partner, current or previous. This is an increase compared to last year, when 20 percent admitted to the same.

  3. d

    Data from: Female Infidelity Is Constrained by El Niño Conditions in a...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Apr 15, 2017
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    Lynna Marie Kiere; Hugh Drummond (2017). Female Infidelity Is Constrained by El Niño Conditions in a Long-lived Bird [Dataset]. http://doi.org/10.5061/dryad.41qh7
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    zipAvailable download formats
    Dataset updated
    Apr 15, 2017
    Dataset provided by
    Dryad
    Authors
    Lynna Marie Kiere; Hugh Drummond
    Time period covered
    2017
    Area covered
    Eastern Tropical Pacific, Mexico, Isla Isabel
    Description

    Effect of sea surface temperature on booby reproductive behaviorsData were acquired through field observations, long-term monitoring of the breeding colony, and publicly available climate data. Data are provided in the "Data" sheet, and column headings are defined in the "Description" sheet of the excel workbook.ForDryad.xlsx

  4. Cheating experiences among Japanese 2020, by gender

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). Cheating experiences among Japanese 2020, by gender [Dataset]. https://www.statista.com/statistics/1192259/japan-share-infidelity-by-gender/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 11, 2020 - Jun 16, 2020
    Area covered
    Japan
    Description

    A survey conducted in Japan in 2020 revealed that more men than women have cheated on their partners in the past. While almost 28 percent of male respondents confessed to infidelity, the same was true for under 22 percent of surveyed women.

  5. Divorces, by reason for marital breakdown, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Dec 17, 2015
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    Government of Canada, Statistics Canada (2015). Divorces, by reason for marital breakdown, inactive [Dataset]. http://doi.org/10.25318/3910003401-eng
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    Dataset updated
    Dec 17, 2015
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Number of divorces, by reason of marital breakdown (separation for at least one year, adultery, physical cruelty, mental cruelty) and by place of occurrence, 2004 to 2005.

  6. d

    Data from: Socio-ecological conditions and female infidelity in the...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Feb 4, 2021
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    Sara Raj Pant; Jan Komdeur; Terry A. Burke; Hannah L. Dugdale; David S. Richardson (2021). Socio-ecological conditions and female infidelity in the Seychelles warbler [Dataset]. http://doi.org/10.5061/dryad.h48d445
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    zipAvailable download formats
    Dataset updated
    Feb 4, 2021
    Dataset provided by
    Dryad
    Authors
    Sara Raj Pant; Jan Komdeur; Terry A. Burke; Hannah L. Dugdale; David S. Richardson
    Time period covered
    2019
    Area covered
    Seychelles
    Description

    Socio-ecological conditions associated with the natal territory of each offspringData was gathered from the long-term Seychelles warbler database and the pedigree available for the Seychelles warbler population on Cousin Island, Seychelles. The data-set consists of offspring, their parentage and the socio-ecological variables associated with each offspring's natal group during the individual's hatching season. It includes 990 offspring born in major breeding seasons (June-September) between 1997 and 2014 on Cousin Island. The column 'ExtraGroup' describes whether an offspring was sired by a male outside of its natal group (1) or by a within-group male (0). Columns with a name starting with 'Presence' indicate whether one or more male/female subordinates/helpers were present (1) or absent (0) in the offspring's natal group. Columns 'MumStatus' and 'DadStatus' describe the status of the offspring's parents, which can be either dominant ('Dom') or subordinate ('Sub').Socio-ecologicalCondit...

  7. o

    Replication data for: Cheating and Incentives: Learning from a Policy...

    • test.openicpsr.org
    • openicpsr.org
    Updated Feb 1, 2018
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    Susan W. Parker; Ana Cristina Pérez-Gea; Rodimiro Rodrigo; César Martinelli (2018). Replication data for: Cheating and Incentives: Learning from a Policy Experiment [Dataset]. http://doi.org/10.17889/E114580V1
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    American Economic Association
    Authors
    Susan W. Parker; Ana Cristina Pérez-Gea; Rodimiro Rodrigo; César Martinelli
    Description

    We use a database generated by a policy intervention that incentivized learning as measured by standardized exams to investigate empirically the relationship between cheating by students and cash incentives to students and teachers. We adapt methods from the education measurement literature to calculate the extent of cheating and show that cheating is more prevalent under treatments that provide monetary incentives to students (versus no incentives or incentives only to teachers). We provide evidence suggesting that students may have learned to cheat, with the number of cheating students per classroom increasing over time under treatments that provide monetary incentives to students.

  8. S

    Data from: Short-range C-signaling restricts cheating behavior during...

    • data.subak.org
    • data.niaid.nih.gov
    • +1more
    csv
    Updated Feb 16, 2023
    + more versions
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    Michigan State University (2023). Short-range C-signaling restricts cheating behavior during Myxococcus xanthus development [Dataset]. https://data.subak.org/dataset/short-range-c-signaling-restricts-cheating-behavior-during-myxococcus-xanthus-development
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    csvAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    Michigan State University
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Starving Myxococcus xanthus bacteria use short-range C-signaling to coordinate building of multicellular mounds with differentiation from rods into spores during fruiting body development. A csgA mutant deficient in C-signaling can cheat on wild type (WT) in mixtures and form spores disproportionately, but our understanding of cheating behavior is incomplete. We report that cheating requires excess WT cells in the initial mixture and occurs during the mound-building phase of development. We subjected mixtures of WT and csgA cells at different ratios to co-development, and used confocal microscopy and image analysis to quantify the arrangement and morphology of cells near the bottom of nascent fruiting bodies (NFBs). At a ratio of one WT to four csgA cells (1:4), NFBs failed to form. At 1:2, broad mounds formed with half the normal cell density and very few spores. At 1:1, NFBs formed normally with a similar number of WT and csgA rods early in development and a similar number of spores later, so C-signaling by WT rescued *csgA*development efficiently, but the mutantdid not cheat. In contrast, at 2:1 and 4:1 excess WT starting ratios, csgA rods were more abundant than expected in early NFBs, indicative of cheating during mound formation. As NFBs matured, csgA and WT eventually formed spores with similar efficiency, although csgA began sporulation earlier and closer to the radial center. Our results reveal restrictions on cheating behavior, which may have selected C-signaling evolutionarily, and may explain the prevalence of short-range signaling in bacterial biofilm and multicellular animal development.

  9. Data from: Limiting opportunities for cheating stabilizes virulence in...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Nov 20, 2015
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    Ben Raymond; David Shapiro-Ilan (2015). Limiting opportunities for cheating stabilizes virulence in insect parasitic nematodes [Dataset]. http://doi.org/10.5061/dryad.c6829
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    zipAvailable download formats
    Dataset updated
    Nov 20, 2015
    Dataset provided by
    United States Department of Agriculture
    Imperial College London
    Authors
    Ben Raymond; David Shapiro-Ilan
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Cooperative secretion of virulence factors by pathogens can lead to social conflict when cheating mutants exploit collective secretion, but do not contribute to it. If cheats outcompete cooperators within hosts, this can cause loss of virulence. Insect parasitic nematodes are important biocontrol tools that secrete a range of significant virulence factors. Critically, effective nematodes are hard to maintain without live passage, which can lead to virulence attenuation. Using experimental evolution we tested whether social cheating might explain unstable virulence in the nematode Heterorhabditis floridensis by manipulating relatedness via multiplicity of infection (MOI), and the scale of competition. Passage at high MOI, which should reduce relatedness, led to loss of fitness: virulence and reproductive rate declined together and all eight independent lines suffered premature extinction. As theory predicts, relatedness treatments had more impact under stronger global competition. In contrast, low MOI passage led to more stable virulence and increased reproduction. Moreover, low MOI lineages showed a trade-off between virulence and reproduction, particularly for lines under stronger between-host competition. Overall, this study indicates that evolution of virulence theory is valuable for the culture of biocontrol agents: effective nematodes can be improved and maintained if passage methods mitigate possible social conflicts.

  10. H

    CAMEO Dataset: Detection and Prevention of "Multiple Account" Cheating in...

    • dataverse.harvard.edu
    Updated Jun 21, 2015
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    Harvard Dataverse (2015). CAMEO Dataset: Detection and Prevention of "Multiple Account" Cheating in Massively Open Online Courses [Dataset]. http://doi.org/10.7910/DVN/3UKVOR
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    text/plain; charset=us-ascii(8238), txt(696)Available download formats
    Dataset updated
    Jun 21, 2015
    Dataset provided by
    Harvard Dataverse
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/3UKVORhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/3UKVOR

    Description

    [NOTE: Data are currently only accessible to qualified reviewers. For reviewers, detailed dataset descriptions are provided as text files associated with each dataset.] This dataset includes statistics about student actions in MITx and HarvardX courses, used in an analysis of Copying Answers using Multiple Existences Online (CAMEO) behavior. The data are partially anonymized, but insufficiently so for open release.

  11. f

    Data from: Jumping the Fence Dot Com: Public Opinion on Commodification of...

    • scielo.figshare.com
    jpeg
    Updated Jun 4, 2023
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    Thiago Ianatoni Camargo; André Luiz Maranhão de Souza Leão (2023). Jumping the Fence Dot Com: Public Opinion on Commodification of Adultery [Dataset]. http://doi.org/10.6084/m9.figshare.20039738.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELO journals
    Authors
    Thiago Ianatoni Camargo; André Luiz Maranhão de Souza Leão
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Recently, organizations arrived in Brazil to convert adultery into a product. Their actions have been promoted through controversial marketing activities and extensive media coverage. It has had resonance among public opinion, revealing different positions around the issue. Assuming that the truth is established over contingent and historical conditions and that practices reproduce accepted truths from an established discourse, we question how the commoditization of adultery discourse is based on amid public opinion discursive practices. To look at this issue, we adopt a macro-marketing critical approach, attached to Michel Foucault's social theory. In line with this choice, the analytical procedure adopted is the Foucauldian archeological method. The commoditized adultery discourse analysis evidenced stylistics of adultery that posits morally. At the end, musings about social implications are discussed.

  12. Data from: Rapid evolution of cheating mitochondrial genomes in small yeast...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Jul 31, 2013
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    Jean-Nicolas Jasmin; Clifford Zeyl (2013). Rapid evolution of cheating mitochondrial genomes in small yeast populations [Dataset]. http://doi.org/10.5061/dryad.2018h
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    zipAvailable download formats
    Dataset updated
    Jul 31, 2013
    Dataset provided by
    Wake Forest University
    Authors
    Jean-Nicolas Jasmin; Clifford Zeyl
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Outcrossed sex exposes genes to competition with their homologues, allowing alleles that transmit more often than their competitors to spread despite organismal fitness costs. Mitochondrial populations in species with biparental inheritance are thought to be especially susceptible to such cheaters because they lack strict transmission rules like meiosis or maternal inheritance. Yet the interaction between mutation and natural selection in the evolution of cheating mitochondrial genomes has not been tested experimentally. Using yeast experimental populations, we show that although cheaters were rare in a large sample of spontaneous respiratory-deficient mitochondrial mutations (petites), cheaters evolve under experimentally enforced outcrossing even when mutation supply and selection are restricted by repeatedly bottlenecking populations.

  13. Data from: In the social amoeba Dictyostelium discoideum, shortened stalks...

    • zenodo.org
    • search.dataone.org
    • +2more
    bin, csv
    Updated Mar 11, 2024
    + more versions
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    Tyler Larsen; Tyler Larsen; James Medina; Joan Strassmann; David Queller; James Medina; Joan Strassmann; David Queller (2024). Data from: In the social amoeba Dictyostelium discoideum, shortened stalks may limit obligate cheater success even when exploitable partners are available [Dataset]. http://doi.org/10.5061/dryad.5dv41nsd3
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    bin, csvAvailable download formats
    Dataset updated
    Mar 11, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Tyler Larsen; Tyler Larsen; James Medina; Joan Strassmann; David Queller; James Medina; Joan Strassmann; David Queller
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Measurement technique
    <p><em>Strains and culture conditions </em></p> <p>To prepare food bacteria for <em>D. discoideum </em>clones to prey upon, we first spread non-pathogenic <em>K. pneumoniae</em> KpGe (Dicty Stock Center, dictybase.org) from stocks frozen in 80% KK2 [2.25 g KH<sub>2</sub>PO<sub>4</sub> (Sigma-Aldrich) and 0.67 g K<sub>2</sub>HPO<sub>4</sub> (Fisher Scientific) per liter] and 20% glycerol on an SM/5 agar media [2 g glucose (Fisher Scientific), 2 g yeast extract (Oxoid), 0.2 g MgCl<sub>2</sub> (Fisher Scientific), 1.9 g KHPO<sub>4</sub> (Sigma-Aldrich), 1 g K<sub>2</sub>HPO<sub>5</sub> (Fisher Scientific), and 15 g agar (Fisher Scientific) per liter] and allowed the bacteria to grow at room temperature until colonies appeared. We picked a single colony with a sterile loop, spread it on a new SM/5 plate, and allowed the bacteria to proliferate. We collected these bacteria into KK2 with a sterile loop and diluted them to 1.5 OD<sub>600</sub> in KK2 (~5 x 10<sup>8</sup> cells, measured with an Eppendorf BioPhotometer). We used these bacteria as food for amoebas in our experiment and repeated this process anew for each of the three replicate experiments.</p> <p>To grow NC28.1, the wild-type ancestor <em>D. discoideum</em> clone, from freezer stocks for use in our experiments we added spores frozen in 80% KK2 and 20% glycerol to 200ml of 1.5 OD<sub>600</sub> <em>K. pneumoniae</em> suspension. We spread the mix of spores and bacteria on SM/5 plates with a sterile glass spreader, then incubated the plates at room temperature for 7 days under constant overhead light until the social cycle was complete and fruiting bodies had formed. We repeated this process for each of the three replicate experiments.</p> <p>EC2 (also called EC28.2 in (Inglis, Ryu et al. 2017)) was selected as an obligate cheater. It is the result of an experimental evolution experiment that used unstructured growth and dispersal to evolve a cooperative wild strain called NC28.1 into non-fruiting cheaters. Past work measuring the degree of cheating (the overrepresentation of spores within chimeric fruiting bodies) suggests that EC2 is a particularly effective cheater, and its recent divergence from a wild isolate should render its behavior more natural than cheaters derived from extensively lab-adapted strains. To grow EC2, the RFP-labelled obligate social cheater, from freezer stocks for use in our experiments, we added amoebas frozen in HL5 (5 g proteose peptone, 5 g thiotone E peptone, 10 g glucose, 5 g yeast extract, 0.35 g Na2HPO4 * 7H2O, 0.35 g KH2PO4 per liter) to 10% DMSO to 200ml of 1.5 OD<sub>600</sub> <em>K. pneumoniae</em> suspension. We spread the mix of amoebas and bacteria on an SM/5 plate with a sterile glass spreader, then incubated the plate at room temperature for 24-48 hours until starving EC2 amoebas began aggregating. We then used a sterile loop to transfer a sample to a new plate containing fresh <em>K. pneumoniae</em> for them to prey upon. These were allowed to grow for 24-48 hours until a vegetative front of amoebas had formed. We collected these amoebas with a sterile loop into ice-cold KK2 (see "Experimental procedures") and ensured that the amoebas we used were clonal by plating 10 SM/5 plates with about 10 amoebas each, then picking a single clonal plaque originating from a single amoeba. We repeated this process for each of the three replicate experiments.</p> <p><em>Experimental procedures</em></p> <p>In order to obtain cells of both <em>D. discoideum </em>clones for experimental mixing, we plated amoebas (EC2) or spores (NC28.1) previously grown from freezer stocks as described above on separate SM/5 agar plates with 200ml of 1.5 OD<sub>600</sub> <em>K. pneumoniae </em>suspension.</p> <p>We collected amoebas to make the mixtures by pouring ice-cold KK2 onto the plates, mixing them into suspension with a gloved fingertip, then collecting and centrifuging the mixture at 10°C for 3 minutes at 1300 rpm in order to pellet the amoebas and leave <em>K. pneumoniae</em> in solution. We decanted the pellets, resuspended them in KK2, and measured their density with a hemacytometer before making the mixtures. For each treatment, we mixed 200ml of fresh <em>K. pneumoniae</em> suspension with a total of 2x10<sup>5</sup> amoebas then spread the solution evenly with an ethanol-sterilized glass spreader on an SM/5 agar plate. We made mixtures of EC2 and NC28.1 with various initial frequencies of EC2 (0.0, 0.1, 0.3, 0.5, 0.7, 0.9, and 1.0). We repeated this experiment three times, each on a separate day.</p> <p>We collected fruiting bodies after one week at room temperature under constant overhead light to allow fruiting bodies to fully develop. On each plate, we selected three fruiting bodies at random to represent three independent data points. To do this, we placed a plate of fruiting bodies over a grid of 1cm by 1cm squares. We selected three squares at random using a random number generator and marked each plate at the centers of each of the squares. We then individually collected the closest intact (not collapsed) fruiting body to each mark with fine tweezers. For each, we pressed the sorus, which contains the spores, against the side of a tube containing 100ml of KK2 to dislodge the spores, then laid the stalk on a glass microscope slide. After three fruiting bodies were collected from a single plate, the stalks were covered with a cover slip and sealed with nail polish for later imaging. Stalk length was individually recorded by imaging picked stalks under a Leica S8AP0 dissecting microscope with Leica application suite software v4.1 using the "draw line" tool.</p> <p><strong> </strong><em>Analysis</em></p> <p>We excluded several data points from the analysis for which we could not accurately measure stalk height due to damage incurred during collection.</p> <p>In order to test whether increasing cheater frequency yields shorter fruiting bodies, we used a linear mixed-effects model with the function lme<em> </em>in the nlme package in R version 4.2.1 (Team 2013) with stalk height as the response variable, the initial cheater frequency as a fixed effect, the total number of spores per sorus as a fixed effect, and the day of the experiment as a random effect (stalk height ~ initial cheater frequency + total spores + 1|day). In this model, we included total number of spores as a fixed effect in case fruiting body height could vary due to random variation in the size of aggregates that form across the plate. </p> <p>We then compared this model with one lacking the random effect of day (stalk height ~ initial cheater frequency + total spores) using the <em>anova</em> function in base R. The two models were not significantly different (p = 0.27, with day: AIC = 105.67, without day: AIC = 104.89), so we proceeded with the simpler model without the effect of day. We then further simplified the model by removing the effect of total number of spores because it did not significantly affect stalk height (p = 0.20).</p>
    Description

    Cooperation is widespread across life, but its existence can be threatened by exploitation. The rise of obligate social cheaters that are incapable of contributing to a necessary cooperative function can lead to the loss of that function. In the social amoeba Dictyostelium discoideum, obligate social cheaters cannot form dead stalk cells and in chimeras instead form living spore cells. This gives them a competitive advantage within chimeras. However, obligate cheaters of this kind have thusfar not been found in nature, probably because they are often enough in clonal populations that they need to retain the ability to produce stalks. In this study we discovered an additional cost to obligate cheaters. Even when there are wild-type cells to parasitize, the chimeric fruiting bodies that result have shorter stalks and these are disadvantaged in spore dispersal. The inability of obligate cheaters to form fruiting bodies when they are on their own combined with the lower functionality of fruiting bodies when they are not represent limits on obligate social cheating as a strategy.

  14. 4

    Database of latent constructs of a Modified Theory of Planned Behavior on...

    • data.4tu.nl
    • 4tu.edu.hpc.n-helix.com
    • +1more
    bin
    Updated Jul 7, 2021
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    Gamaliel Gonzales; Meljun Barnayha; Rachel Lavador; Jessamae Martel; Ma. Kathleen Urot (2021). Database of latent constructs of a Modified Theory of Planned Behavior on academic cheating among students in HEI's in the Philippines [Dataset]. http://doi.org/10.4121/14909445.v1
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    binAvailable download formats
    Dataset updated
    Jul 7, 2021
    Dataset provided by
    4TU.ResearchData
    Authors
    Gamaliel Gonzales; Meljun Barnayha; Rachel Lavador; Jessamae Martel; Ma. Kathleen Urot
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    This dataset contain 1,092 responses from College Students in the Visayas Regions in the Philippines. The data includes responses of the indicators of the latent variables namely; self-control, attitude, subjective norm, perceived behavioral control, intention, justification, and cheating behavior.

  15. H

    The table to our right was cheating

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Jun 13, 2018
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    Matthew Thomas (2018). The table to our right was cheating [Dataset]. https://www.hydroshare.org/resource/c471cdbe553a4217b592d4538f32c58f
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    zip(264.8 KB)Available download formats
    Dataset updated
    Jun 13, 2018
    Dataset provided by
    HydroShare
    Authors
    Matthew Thomas
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Hello world! - MT

    This point datalayer shows the locations of institutions of higher education in Massachusetts. Sites appearing in this layer are those normally attended by students after completion of high school. Types are public and private, and categories include co-ed, vocational, technical, religious, medical, and traditional 2- and 4-year colleges and universities. This layer was developed by MassGIS and is primarily based on all Massachusetts colleges listed in the National Center for Education Statistics website as of March 12, 2018. Additional schools were added from lists of professional occupational/vocational institutions compiled by the Massachusetts Office of Consumer Affairs and Business Regulation Division of Professional Licensure.Data sources:https://nces.ed.gov/collegenavigator/https://www.mass.gov/files/documents/2017/09/27/schools.pdfhttps://www.mass.gov/files/documents/2018/02/15/electricians%20150-600-hrs-course-approved-schools.pdfIndividual college websites were also consulted to verify locations and other material. MassGIS geocoded site addresses and verfied them using current ortho imagery.A few institutions have multiple campuses, as distinct from satellite locations. For example, Harvard School of Business and Harvard Medical School are campuses within Harvard University, and a point is included in this dataset for each. Some satellite campuses may not be included. For example, Northeastern University conducts classes in satellite locations such as Milford High School. Since Milford High School is a separate educational facility, it is not considered to be a Northeastern University campus, and a point is not included in this layer.The layer is stored in ArcSDE and distributed as COLLEGES_PT.For pre-kindergarten through high school educational facilities, see the SCHOOL_PT layer.

  16. b

    Data from: Replication code for: Self-Declared Benchmarks and Fund Manager...

    • scholarworks.brandeis.edu
    • data.mendeley.com
    Updated Jun 27, 2024
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    Yang Sun (2024). Replication code for: Self-Declared Benchmarks and Fund Manager Intent: “Cheating” or Competing? [Dataset]. https://scholarworks.brandeis.edu/esploro/outputs/dataset/Replication-code-for-Self-Declared-Benchmarks-and/9924377787101921
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    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Mendeley Data
    Authors
    Yang Sun
    Time period covered
    Jun 27, 2024
    Description

    This replication package produces the results in Chen, H., Evans, R., and Sun, Y., "Self-Declared Benchmarks and Fund Manager Intent: 'Cheating' or Competing?", the Journal of Financial Economics, forthcoming

  17. f

    Descriptive statistics of mazes indicated, mazes solved, and cheating...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2023
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    Jenny C. Su; Chi-Yue Chiu; Wei-Fang Lin; Shigehiro Oishi (2023). Descriptive statistics of mazes indicated, mazes solved, and cheating behavior as a function of relational mobility and social monitoring. [Dataset]. http://doi.org/10.1371/journal.pone.0167053.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jenny C. Su; Chi-Yue Chiu; Wei-Fang Lin; Shigehiro Oishi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Descriptive statistics of mazes indicated, mazes solved, and cheating behavior as a function of relational mobility and social monitoring.

  18. Share of French men who have already cheated on their partners 1970-2022

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Share of French men who have already cheated on their partners 1970-2022 [Dataset]. https://www.statista.com/statistics/1013624/infidelity-cheated-on-partner-population-men-france/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 15, 2022 - Apr 21, 2022
    Area covered
    France
    Description

    This statistic shows the percentage of men who have already cheated on their partners in their lifetime in France from 1970 to 2022. It reveals that almost half of French men had already cheated on their partners in 2022.

  19. Share of Hungarians having cheated on their partners 2024, by age

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). Share of Hungarians having cheated on their partners 2024, by age [Dataset]. https://www.statista.com/statistics/1489468/hungarians-cheating-on-their-partner-by-age/
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    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024
    Area covered
    Hungary
    Description

    In 2024, the share of Hungarians who had ever cheated on their partner was the highest in the age group of 50 to 59-year-olds, reaching 46 percent. Respondents between 16 and 19 years recorded the second-highest figure at 30 percent.

  20. Characteristics of women who enter into an extra-marital affair in India...

    • statista.com
    Updated Aug 24, 2023
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    Statista (2023). Characteristics of women who enter into an extra-marital affair in India 2021 [Dataset]. https://www.statista.com/statistics/1265765/india-characteristics-of-unfaithful-women/
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    Dataset updated
    Aug 24, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    India
    Description

    According to a survey of female Gleeden.com users in India in 2021, 78 percent of respondents considered themselves to be well-educated. 76 percent rated themselves high in terms of physical appearance and believed their spouses to be less attractive than they were. Gleeden.com is an online dating platform for those already in a relationship and facilitates extra-marital affairs.

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Statista (2023). Key figures regarding infidelity in India 2020 [Dataset]. https://www.statista.com/statistics/1265747/india-infidelity-statistics/
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Key figures regarding infidelity in India 2020

Explore at:
Dataset updated
Aug 24, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2020
Area covered
India
Description

According to a report released by Gleeden, an online dating platform for extra-marital affairs, 77 percent of female Gleeden users in India who have cheated on their spouse did so due to being bored by a monotonous married life. The report also found that 72 percent of unfaithful women did not regret cheating.

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