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The survey charted political trust, political knowledge and interest, and political participation of upper secondary students in the Tampere area. First, the respondents interest in politics was surveyed as well as their perceptions on their political knowledge, frequency of discussing politics and social issues in different contexts, and frequency of following news and politics in the media. Satisfaction with the Finnish education system, democracy in Finland, and the performance of the Finnish Government was examined as well as trust in various institutions (e.g. political parties, parliament, politicians, the European Union, the police, universities and research institutes) and trust in Prime Minister Juha Sipilä, Minister of Finance Alexander Stubb, and Minister for Foreign Affairs Timo Soini. Views on the decisions made by the Finnish government and prevalence of corruption among decision-makers were investigated. A number of statements relating to decision-making and ways to influence it were presented (e.g. \"Citizens must influence the direction of politics primarily by voting in elections\"). Perceptions were surveyed on the state of the Finnish economy, own and parents' placement on the left-right scale, own and parents' party identification, effects of parents' political views on own political opinions, and prevalence of civic issues at school. The respondents' values were investigated by asking the extent to which they agreed with a number of statements concerning, for instance, multiculturalism, same-sex marriage, use of fossil fuels, abortion, and sentences for violent crime. Social engagement, volunteering, and interpersonal trust were examined as well as different forms of political/civic participation the respondents had done or thought they could do. The respondents were asked whether there was someone they could talk to about their personal matters and how happy they felt. Finally, the respondents were asked questions that charted their factual knowledge of politics. Background variables included, among others, the respondent's year of birth, gender, mother tongue, type of school (general or vocational), year of study, future plans relating to education and employment, religiosity, household composition, and grade average of the lower secondary school leaving certificate as well as parents' education levels and the self-perceived financial circumstances of the family.","fi":"Aineistossa kartoitetaan Tampereen seudun lukiolaisten ja ammattikoululaisten poliittista luottamusta, poliittista tietämystä ja kiinnostusta sekä yhteiskunnallista osallistumista. Kysely on toteutettu opiskelijaprojektina osana syventävää maisterivaiheen kurssia. Kyselyn alussa tiedusteltiin opiskelijoiden poliittista kiinnostusta sekä tyytyväisyyttä Suomen hallitukseen ja koulutusjärjestelmään. Seuraavaksi kysyttiin luottamusta eri tahoihin, kuten presidenttiin, hallitukseen, eduskuntaan, poliitikkoihin, oikeuslaitokseen, poliisiin, tiedotusvälineisiin, oppilaskunnan hallitukseen ja yliopistoihin. Opiskelijoilta kysyttiin myös mielipiteitä erilaisiin demokratiaa, päätöksentekoa ja politiikkaa koskeviin väitteisiin. Lisäksi heitä pyydettiin sijoittamaan itsensä ja vanhempansa vasemmisto-oikeisto-akselille sekä tiedusteltiin, mitä puoluetta itse äänestäisi ja mitä puoluetta vanhemmat äänestävät. Kyselyssä kartoitettiin myös opiskelijoiden mielipiteitä erilaisista yhteiskuntaa koskevista väittämistä, liittyen muun muassa monikulttuurisuuteen, verotukseen, tasa-arvoon, korkeakouluopetuksen maksuttomuuteen, fossiilisten polttoaineiden käyttöön, aborttiin sekä väkivaltarikosten tuomioihin. Lopuksi kysyttiin vielä yhteiskunnallisen osallistumisen muodoista ja sosiaalisesta luottamuksesta. Taustamuuttujia ovat muun muassa syntymävuosi, sukupuoli, äidinkieli, opiskelupaikka tai -ala, opiskeluvuosi, jatkokouluttautumissuunnitelmat. Taustatietoina on kysytty myös, ovatko vastaaja ja hänen vanhempansa syntyneet Suomessa sekä vastaajan kuulumista etniseen vähemmistöön, uskonnollisuutta, asumismuotoa ja -aluetta, perheen toimeentuloa, vanhempien koulutustasoa sekä peruskoulun päättötodistuksen keskiarvoa."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2016-11-30","keyword":["poliittiset asenteet","mielipiteet","asenteet","poliittinen käyttäytyminen","poliittinen osallistuminen","osallistuminen","luottamus","arvot","lukiolaiset","ammattikoululaiset","family influence","political attitudes","political awareness","political behaviour","political interest","political participation","students","trust","trust in government","upper secondary 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The survey is part of the METSO collaborative research project funded by the Ministry of Agriculture and Forestry (2013-2016). The first questions covered the type of measures that had already been taken to preserve the respondents' forest sites (e.g. WWF Heritage Forest agreements or other conservation agreements). It was also queried whether the forest owners had signed a METSO agreement and which measures they would take on the sites after the contract ended, e.g. signing new conservation agreements or carrying out logging operations. Further questions surveyed whether the respondents felt that a conservation agreement restricted the utilisation of the site's resources. The study was also interested in whether the respondents' forests contained sites that are protected by law, e.g. mating and resting sites of Siberian flying squirrels. The factors that the respondents deemed important in securing biodiversity of forests were examined as well (e.g. securing recreation possibilities in accordance with everyman's right, preserving the natural condition of the site, or economic gain from conservation agreements). Next, the respondents were presented with attitudinal statements regarding the METSO programme and, for instance, the compensation received from METSO conservation sites. The survey also studied the role of knowledge and interaction in securing biodiversity. The forest owners were asked to evaluate if a variety of conservation-related services were needed, e.g. a map showing valuable nature sites in their forests or estimates of the economic effects of a protected forest site versus a commercial forest site. They were also asked to evaluate different actors' roles and reliability in the conservation agreement process (e.g. the Centre for Economic Development, Transport and the Environment, and the Finnish Forest Centre). The influence of different people's opinions (e.g. family, neighbours, and professionals at forest management associations (MHY)) on conservation measures were also examined. The respondents were asked with which organisation they preferred to transact in issues relating to the METSO programme, forest management, and timber sales, and if they had put together a forest management plan. Finally, the respondents' objectives relating to forest use were surveyed. They were asked what types of forest management measures they would undertake in the following five years, e.g. clear felling, uneven-aged forest management, or preserving areas in accordance with FSC or PEFC certifications. Further questions about the respondents' experiences of forest management plans were also asked. Background variables included, for instance, gender, age, type of municipality of residence, education level, household gross income and income received from forests, and type and duration of forest ownership.","fi":"Tutkimuksessa tutkittiin metsänomistajien näkemyksiä METSO-ohjelmasta, mielipiteitä monimuotoisuuden turvaamisen keinoista, metsien käsittelyn periaatteista, vuorovaikutuksen kehittämisestä monimuotoisuuden turvaamisessa ja metsien käytöstä. Tutkimus on osa maa- ja metsätalousministeriön vuosina 2013-2016 rahoittamaa METSO-yhteistutkimushanketta. Aluksi kysyttiin, minkälaisia suojeltuja kohteita metsänomistajan tilalla jo mahdollisesti on. Lisäksi kysyttiin onko metsänomistajalla voimassa olevaa METSO-sopimusta sekä toimenpiteistä mahdollisen METSO-sopimuksen päättymisen jälkeen. Edelleen tiedusteltiin rajoittaako metsäsopimus kohteen hyödyntämistä. 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The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%. The Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation.\n\nQuality check   \nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Helsinki\\_Table1\\_New. have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).\n\nTable Of Contents:\n\nThe descriptions of the measurement stations are in Helsinki\\_Table1\\_New.txt.   \nColumns:   \n1. 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New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651   \nStewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022.   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. 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(in preparation) of 23 measurement stations in Tampere.\n\nTechnical Info:\n\nNB: Update on 15.6.2026: data file Tampere\\_202605.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Tampere\\_Table1\\_New.txt during 07/2023-5/2026.\n\nEach measurement station consisted of three parts: a temperature and humidity sensor, a solar radiation shield, and an Internet of Things (IoT) device, which collected the measurement data and communicated them to a server via Long Range Wide Area Network (LoRaWAN). Temperature and relative humidity (RH) were measured by one integrated sensor, the Digital Matter I2C Temperature and Humidity Sensor [https://www.digitalmatter.com/wp-content/uploads/2020/09/I2C-Temperature-and-Humidity-Sensor-Datasheet.pdf]. Within the sensor, the temperature and RH were measured using the Silicon Labs Si7021-A20 I2C Humidity and Temperature Sensor chip. The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%. The Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation.\n\nQuality check\n\nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Table 1. have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).\n\nTable Of Contents:   \nThe descriptions of the measurement stations are in Tampere\\_Table1\\_New.txt.   \nColumns   \n1. Station\\_code   \n2. Station\\_id   \n3. latitude   \n4. longitude   \n5. elevation above mean se alevel (m)   \n6. LCZ\\_global\\_point (LCZ at the grid point nearest to the measurement station)   \n7. LCZ\\_global\\_r200 (Mode of the LCZs within a 200-meter radius around the measurement station)   \n  \nThe data (hourly Temperature) of each the measurements are in ASCII (tabulator as separator) files Tampere\\_YEAR.dat, with Celsius as Unit and missing value -999.   \nColumns:   \n1. Station\\_code   \n2. Timestamp(YMDHH24) UTC   \n3. Mean temperature of the previous hour   \n4. Minimum temperature of the previous hour   \n5. Maximum temperature of the previous hour   \n6. Standard deviation of the temperature measurements during the previous hour   \n7. Number of measurements during the previous hour (usually 12)   \n  \nReferences:\n\nAalto, J., Pirinen, P., & Jylhä, K. (2016). New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651 Stewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022.   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. 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(in preparation) of 12 measurement stations in Rovaniemi.\n\nTechnical Info:\n\nNB: update on 15.6.2026, file Rovaniemi\\_202605.dat added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Rovaniemi\\_Table1.txt during 3.6.2025-31.5.2026.\n\nEach measurement station consisted of three parts: a temperature and humidity sensor, a solar radiation shield, and an Internet of Things (IoT) device, which collected the measurement data and communicated them to a server via Long Range Wide Area Network (LoRaWAN). Temperature and relative humidity (RH) were measured by one integrated sensor, the Digital Matter I2C Temperature and Humidity Sensor [https://www.digitalmatter.com/wp-content/uploads/2020/09/I2C-Temperature-and-Humidity-Sensor-Datasheet.pdf]. Within the sensor, the temperature and RH were measured using the Silicon Labs Si7021-A20 I2C Humidity and Temperature Sensor chip. The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%. The Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation.\n\nQuality check\n\nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Rovaniemi\\_Table1\\_New. have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).\n\nTable Of Contents: The descriptions of the measurement stations are in Rovaniemi\\_Table1.txt.   \nColumns   \n1. Station\\_code   \n2. Station\\_id   \n3. latitude   \n4. longitude   \n5. elevation above mean se alevel (m)   \n6. LCZ\\_global\\_point (LCZ at the grid point nearest to the measurement station)   \n7. LCZ\\_global\\_r200 (Mode of the LCZs within a 200-meter radius around the measurement station)\n\nThe data (hourly Temperature) of each the measurements are in ASCII (tabulator as separator) files Rovaniemi\\_YearMonth.dat, with Celsius as Unit and missing value -999.   \nColumns:   \n1. Station\\_code   \n2. Timestamp(YMDHH24) UTC   \n3. Mean temperature of the previous hour   \n4. Minimum temperature of the previous hour   \n5. Maximum temperature of the previous hour   \n6. Standard deviation of the temperature measurements during the previous hour   \n7. Number of measurements during the previous hour (usually 12)\n\nReferences: Aalto, J., Pirinen, P., & Jylhä, K. (2016). New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651   \nStewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1 Demuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022.   \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. 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Alternative performance metrics and target values for the CID2013 database. Proc. of SPIE/IS&amp;T Electronic Imaging 2015, Image Quality and System Performance XII. San Francisco, California, USA, 8.-12.2.2015, [9396-0Q].Virtanen, T., Nuutinen, M., Vaahteranoksa, M., Oittinen, P. &amp; Häkkinen, J. (2015). CID2013: a database for evaluating no-reference image quality assessment algorithms. IEEE Transactions on Image Processing. 24(1), Pages 390-402.Nuutinen M., Virtanen T., Leisti T., Mustonen T., Radun J., Häkkinen J. (2014). A new method for evaluating the subjective image quality of photographs: Dynamic Reference, Multimedia Tools and Applications. doi:10.1007/s11042-014-2410-7.Nuutinen, M., Virtanen, T. &amp; Oittinen, P. (2014). Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions. Journal of Electronic Imaging, 23(6), 061111.Radun, J., Leisti, T., Virtanen, T., Nyman, G., &amp; Häkkinen, J. (2014). Why is quality estimation judgment fast? Comparison of gaze control strategies in quality and difference estimation tasks. Journal of Electronic Imaging, 23(6), 061103.Leisti T., Radun J., Virtanen, T., Nyman G., Häkkinen J. (2014). Explaining can enhance visual decision making. Acta Psychologica 145, Pages 65–74.Nuutinen, M., Virtanen, T., Valkonen, V., &amp; Oittinen, P. (2013). Automatic exposure and white balance control in video cameras: Time course characterization and preference. Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis 2013, p. 25–29.Hakola, V. (2013). The Impact of Video Sequence Length and Distortion Position in Perceived Quality. MSc. Thesis, Aalto University School of Science, Degree Programme of Computer Science and Engineering, 2013. 71 pages.Nuutinen, M., Orenius, O., Säämänen, T., Oittinen, P. (2012). A Framework for Measuring Sharpness in Natural Images Captured by Digital Cameras Based on Reference Image and Local Areas. EURASIP Journal on Image and Video Processing, 2012(8).Nuutinen, M., Virtanen, T., Oittinen, P. (2012). Features for predicting quality of images captured by digital cameras. Proceedings of the IEEE International Symposium on Multimedia 2012. p. 165-168.Nuutinen, M., Orenius, O., Säämänen, T., Oittinen, P. (2011). Potential of face area data for predicting sharpness of natural images. Proc. of SPIE/IS&amp;T Electronic Imaging 2011, Image Quality and System Performance VIII. San Francisco, California, USA, 23.-27.1.2011, [7876-36].Nuutinen, M., Orenius, O., Säämänen, T., Oittinen, P. (2011). Reference image method for measuring quality of photographs produced by digital cameras. Proc. of SPIE/IS&amp;T Electronic Imaging 2011, Image Quality and System Performance VIII. San Francisco, California, USA, 23.-27.1.2011. 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The survey was conducted as part of the \"Changes in Finnish TV Election Campaigns\" project. The respondents were asked whether they had seen election advertisements and television advertising, and if they had, for which party. The respondents were asked to evaluate the advertisements. They were also asked if they had voted, and which party they had voted for in the European Parliamentary elections and in the previous parliamentary elections. In addition, the respondents were asked for which party's candidate they would vote if elections were held at the time of the survey, and at what stage the respondents had made the decision to vote. In this study, the aim was to canvass how important certain issues were in determining the respondents' voting decisions, and whether the voting decision was more determined by the candidate's party or the candidate him/herself. Information sources used to support the respondents' voting decisions were surveyed. Non-voters were asked the reason for abstaining. Background variables included the respondent's gender, age group, year of birth, marital status, mother tongue, basic education, vocational education, working hours, industry of employment, employer type, trade union membership, household composition, economic activity of the household head, number of children aged under 21, household gross income, the respondent's self-perceived social class, political left-right self-placement, and which political party the respondent had voted for in the elections.","fi":"Europarlamenttivaalitutkimuksessa tutkittiin vaalimainontaa, vastaajien äänestyskäyttäytymistä ja siihen vaikuttavia syitä. Tutkimusta tehtiin Changes in Finnish TV Election Campaigns -projektissa. Vaalimainontaan liittyen kysyttiin, oliko vastaaja nähnyt vaalimainoksia. Mikäli vastaaja oli nähnyt vaalimainoksia, häntä pyydettiin arvioimaan niitä. Vastaajilta kysyttiin myös, olivatko he käyneet äänestämässä ja minkä puolueen ehdokasta olivat äänestäneet europarlamenttivaaleissa ja edellisissä eduskuntavaaleissa. Lisäksi tiedusteltiin, minkä puolueen ehdokasta vastaaja äänestäisi tutkimuksen tekohetkellä ja missä vaiheessa vastaaja oli tehnyt äänestyspäätöksensä. Tutkimuksessa selvitettiin, mitkä syyt vaikuttivat vastaajan tekemään valintaan europarlamenttivaaleissa ja miten tärkeitä tietyt asiakysymykset olivat vastaajan tehdessä äänestyspäätöstä sekä vaikuttiko äänestyspäätökseen enemmän ehdokkaan puolue vai ehdokas itse. Vastaajilta tiedusteltiin, mistä lähteistä he saivat tietoa äänestyspäätöksensä tueksi. Äänestämättä jättäneiltä kysyttiin, miksi he eivät olleet käyneet äänestämässä. Taustamuuttujia ovat sukupuoli, ikä, siviilisääty, äidinkieli, kotitalouden koostumus, koko ja tulot, koulutus, ammatti, tietoja työpaikasta, ammattiyhdistysjäsenyys, yhteiskuntaluokka ja asuinpaikka, äänestäminen vaaleissa 1996 ja sijoittuminen vasemmisto-oikeisto -akselille. Taustamuuttujat on päivitetty vuoden 1998 elokuussa."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2000-10-31","keyword":["äänestäminen","mainonta","europarlamenttivaalit","puolueiden kannatus","advertising","election campaigns","European Parliament elections","political support","voting behaviour","voting","Kansainvälinen politiikka ja järjestöt","Poliittinen käyttäytyminen, poliittiset asenteet ja mielipiteet","Vaalit, ehdokkaat ja kansanäänestykset","International politics and organisations","Political behaviour and 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The survey respondents were divided into seven different treatment groups, in relation to which they were asked to compare their own income data for 2018. Respondents in a specific treatment group received information about their income level in relation to that group. The treatment groups were: age, municipality of residence, educational level, occupation, and national income level. In addition, one treatment group was allowed to choose one of these five treatment groups, and one group was a control group that did not receive any information about income levels in relation to others. In addition to these groups, one separate group of respondents was promised 15 euros for completing the survey. The aim was to examine the effect of the reward on response rates. These respondents can be identified in the data by the variable \"incentive.\" There were also differences between respondents in the order of the questionnaire. The variables named \"show\" in the data indicate the order in which the questions were presented to the respondents. More detailed information on the structure of the survey can be found in the questionnaire and the background information form. First, respondents were asked to assess their own income level in relation to that of other Finns in 2018 by estimating what proportion of Finns in that group earned less than the respondent themselves. Respondents were then provided with information about their income level in 2018 in relation to their own treatment group. Next, respondents were asked about their satisfaction with life, their current job, and their income level, and they were asked about their plans for the future. In addition, respondents were asked about their views on various social and political issues, such as trust, immigration, benefits, and income distribution. After this, respondents were asked about their views on opportunities in Finland and asked to describe themselves through various statements. Finally, respondents were presented with a hypothetical situation in which they were offered money and had to decide how they would use it. The options given were donating to charity, voluntarily paying tax, and buying lottery tickets. The incentive group, on the other hand, was given the opportunity to choose whether to use part of the reward offered to them for the above-mentioned purposes or to keep the entire reward for themselves. Background variables include year of birth, gender, type of housing, level of education, and political orientation.","fi":"Tutkimuksessa tarkasteltiin suomalaisten käsityksiä omasta tulotasostaan suhteessa muihin ryhmiin sekä tulotasoihin liittyviä asenteita ja arvoja. Kyselyn vastaajat jaettiin seitsemään eri käsittelyryhmään, joiden välillä heidän tuli verrata omia tulotietojaan vuoden 2018 osalta. Tietyn käsittelyryhmän vastaajat saivat tietoa tulotasostaan suhteessa viiteryhmäänsä. Käsittelyryhmät, joiden suhteen tulotasostaan sai tietoa olivat: ikä, asuinkunta, koulutustaso, ammatti ja koko maan tulotaso. Lisäksi yksi käsittelyryhmä sai valita yhden viidestä viiteryhmästä ja yksi ryhmä oli kontrolliryhmä, jotka eivät saaneet lainkaan tietoa tulotasoista suhteessa muihin. Näiden ryhmien lisäksi yhdelle erilliselle vastaajajoukolle luvattiin 15 euroa kyselyyn vastaamisesta. Tarkoituksena oli tarkastella palkkion vaikutusta vastaamiseen. Nämä vastaajat tunnistavat datasta ”incentive” muuttujan perusteella. Kyselylomakkeen järjestyksessä oli myös eroavaisuuksia vastaajien välillä. Datassa ”show” nimetyt muuttujat indikoivat järjestystä, joissa kysymykset vastaajille esitettiin. Tarkemmin kyselyn rakentumisesta voi lukea kyselylomakkeesta sekä taustatietoa-lomakkeesta. Aluksi vastaajia pyydettiin arvioimaan omaa tulotasoaan suhteessa muiden suomalaisten tulotasoon vuonna 2018, arvioimalla kuinka suuri osuus kyseisen ryhmän suomalaisista ansaitsi vähemmän kuin vastaaja itse. Tämän jälkeen vastaajat saivat tietoa vuoden 2018 tulotasostaan suhteessa omaan käsittelyryhmäänsä. Seuraavaksi vastaajilta kysyttiin tyytyväisyydestä elämään, nykyiseen työhön ja tulotasoon sekä tiedusteltiin heidän tulevaisuuden suunnitelmistaan. Lisäksi tiedusteltiin vastaajien näkemyksiä erinäisiin sosiaalisiin ja poliittisiin väittämiin esimerkiksi luottamukseen, maahanmuuttoon, etuuksiin ja tulonjakoon liittyen. Tämän jälkeen tiedusteltiin vastaajien näkemyksiä liittyen mahdollisuuksiin Suomessa sekä pyydettiin vastaajia kuvaamaan itseään erilaisten väittämien kautta. Lopuksi vastaajille esitettiin vielä hypoteettinen tilanne, jossa heille tarjottaisiin rahaa, ja vastaajien tulisi päättää, miten he rahan käyttäisivät. Vaihtoehtoina annettiin lahjoitus hyväntekeväisyyteen, vapaaehtoinen veron maksu sekä lottokuponkien ostaminen. Kannustin-ryhmä sai sen sijaan mahdollisuuden valita käyttävätkö he heille tarjotusta palkkiosta osan edellä mainittuihin kohteisiin vai pitävätkö he koko palkkion itsellään. Taustamuuttujia ovat syntymävuosi, sukupuoli, asumismuoto, koulutustaso ja poliittinen suuntautuminen."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2026-01-07","keyword":["tulot","tuloerot","tulonjako","verotus","toimeentulo","eriarvoisuus","tulotaso","pienituloiset","suurituloiset","työttömyys","tulonsiirrot","hyvinvointi","tyytyväisyys","income","income distribution","taxation","low income","unemployment","satisfaction","quality of life","incomes policy","labour and employment","employment","unemployment","Tulot, omaisuus ja investoinnit/säästäminen","Sosiaaliset olot ja indikaattorit","Income, property and investment/saving","Social conditions and indicators"],"language":[{"id":"c757dc29-552d-48b2-9efc-4d53b939a7ef","url":"http://lexvo.org/id/iso639-3/fin","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"Finnish","fi":"suomi","sv":"finska"}},{"id":"ec748146-3403-4a7f-adfe-bdbb1b889372","url":"http://lexvo.org/id/iso639-3/eng","in_scheme":"http://lexvo.org/id/","pref_label":{"en":"English","fi":"englanti","sv":"engelska"}}],"metadata_owner":{"id":"0eabdf3f-948e-43bf-84ab-fe7b6163faaf","organization":"service_fsd"},"other_identifiers":[{"notation":"https://doi.org/10.60686/t-fsd4004","identifier_type":{"id":"753e313e-2eb1-4f81-988c-d50e7a7cd7fb","url":"http://uri.suomi.fi/codelist/fairdata/identifier_type/code/doi","in_scheme":"http://uri.suomi.fi/codelist/fairdata/identifier_type","pref_label":{"en":"Digital Object Identifier (DOI)"}},"metax_ids":[]}],"persistent_identifier":"urn:nbn:fi:fsd:T-FSD4004","pid_generated_by_fairdata":false,"projects":[],"provenance":[{"id":"8986b1ca-f676-4f9f-b70c-940925cc3721","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Suomi"},"temporal":{"start_date":"2021-04-01","end_date":"2021-06-30"},"is_associated_with":[],"used_entity":[],"variables":[{"id":"0f4039dc-889a-4985-a20d-7e10614f7dde","pref_label":{"en":"People born between 1975 and 1985 who speak either Finnish or Swedish as their native language, have lived in Finland for at least 10 years by 2021, and have a profession and a degree.","fi":"Vuosina 1975-1985 syntyneet henkilöt, jotka puhuvat äidinkielenään joko suomea tai ruotsia, ovat asuneet Suomessa vähintään 10 vuotta vuoteen 2021 mennessä sekä on jokin ammatti ja suoritettu tutkinto."}}]},{"id":"45f9d14a-f6b3-4967-b9fb-60d0494e1310","title":{"en":"Production"},"description":{"en":"Date when the data collection were produced (not distributed or archived)"},"temporal":{"start_date":"2026-01-07","end_date":"2026-01-07"},"is_associated_with":[],"used_entity":[],"variables":[]},{"id":"5cf5467a-6174-4ef5-a0b3-6d67049bd9ce","title":{"en":"Collection"},"description":{"en":"Contains the date(s) when the data were collected."},"spatial":{"geographic_name":"Finland"},"is_associated_with":[],"used_entity":[],"variables":[]}],"relation":[],"remote_resources":[],"spatial":[{"geographic_name":"Suomi"},{"geographic_name":"Finland"}],"state":"published","temporal":[{"start_date":"2021-04-01","end_date":"2021-06-30"}],"theme":[],"title":{"en":"Relative Income: Online Experiment 2021","fi":"Suhteellinen tulotieto: koeasetelma 2021"},"created":"2026-01-08T01:09:42Z","modified":"2026-06-30T01:12:13Z","dataset_versions":[{"id":"a768b077-0a71-4bd6-a7e0-39b899949bf5","title":{"en":"Relative Income: Online Experiment 2021","fi":"Suhteellinen tulotieto: koeasetelma 2021"},"persistent_identifier":"urn:nbn:fi:fsd:T-FSD4004","state":"published","created":"2026-01-08T01:09:42Z","version":1}],"published_revision":4,"version":1,"api_version":3,"metadata_repository":"Fairdata","record_created":"2026-01-08T01:09:43Z","record_modified":"2026-06-30T01:12:13Z"},{"id":"0d98d469-0786-403e-baff-d971f08030b1","access_rights":{"id":"c61f640d-8a13-4f5f-9be0-1417a8ebc1d1","description":{"en":"The data may contain indirect identifiers. 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Aineisto-otteita julkaistessaan jatkokäyttäjän tulee tapauskohtaisesti harkita, mitä tietoja otteesta täytyy poistaa tai muuttaa tutkimuseettisten käytäntöjen mukaisesti."},"license":[{"id":"03258502-6709-437e-9a06-5661857ea4bf","description":{"en":"The dataset is (B) available for research, teaching and study.","fi":"Aineisto on käytettävissä (B) tutkimukseen, opetukseen ja opiskeluun."},"url":"http://uri.suomi.fi/codelist/fairdata/license/code/other-closed","in_scheme":"http://uri.suomi.fi/codelist/fairdata/license","pref_label":{"en":"Other (Not Open)","fi":"Muu (Ei avoin)"}}],"access_type":{"id":"729ffd9f-6d7a-40e9-aa97-a363a16fd113","url":"http://uri.suomi.fi/codelist/fairdata/access_type/code/restricted","in_scheme":"http://uri.suomi.fi/codelist/fairdata/access_type","pref_label":{"en":"Restricted use","fi":"Saatavuutta rajoitettu"}},"restriction_grounds":[{"id":"484e859f-11b5-4163-a387-25c13fcaae29","url":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/research","in_scheme":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds","pref_label":{"en":"Restriced access for research based on contract","fi":"Saatavuutta rajoitettu sopimuksen perusteella vain tutkimuskäyttöön","sv":"Begränsad åtkomst på bas av kontrakt ändast för forskningsändamål"}},{"id":"8c6eebb2-d1f7-47e9-a041-b32a172745b4","url":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds/code/education","in_scheme":"http://uri.suomi.fi/codelist/fairdata/restriction_grounds","pref_label":{"en":"Restricted access for teaching or studying based on contract","fi":"Saatavuutta rajoitettu sopimuksen perusteella opetukseen ja opiskeluun","sv":"Begränsad åtkomst på bas av kontrakt ändast för undervisning och studier"}}]},"actors":[{"id":"6acdfbf9-b17e-4868-a501-ef0c87bb6216","roles":["creator"],"person":{"id":"883ba9fd-71b9-4f52-8572-bae2ee8b87b7","name":"Ritola, Emmi"},"organization":{"id":"ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20","pref_label":{"en":"Tampere University","fi":"Tampereen yliopisto","sv":"Tammerfors universitet","und":"Tampereen yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}},{"id":"15679423-7383-4205-9314-196d6d83dfcf","roles":["publisher"],"organization":{"id":"24e34cd1-11fc-4777-985c-dbdd68b78c24","pref_label":{"en":"Tietoarkisto","fi":"Tietoarkisto","sv":"Tietoarkisto","und":"Tietoarkisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122-6130","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization","parent":{"id":"ea83ea7b-4d44-4d0b-b4ac-a8df3f00ae20","pref_label":{"en":"Tampere University","fi":"Tampereen yliopisto","sv":"Tammerfors universitet","und":"Tampereen yliopisto"},"url":"http://uri.suomi.fi/codelist/fairdata/organization/code/10122","in_scheme":"http://uri.suomi.fi/codelist/fairdata/organization"}}}],"cumulative_state":0,"data_catalog":"urn:nbn:fi:att:data-catalog-harvest-fsd","description":{"en":"The dataset consists of self-administered written texts by recruiters on how unemployed jobseeker status or periods of unemployment impact recruitment decisions. 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The dataset is available only in Finnish.","fi":"Aineisto koostuu kirjoituskutsulla kerätyistä kirjoituksista, joissa rekrytointityötä tekevät henkilöt pohtivat työnhakijan työttömyyden tai ansioluettelossa näkyvien työttömyysjaksojen mahdollisia vaikutuksia rekrytointiin. Aineisto on kerätty alun perin pro gradu -tutkielmaan. Kirjoituskutsulla etsittiin henkilöitä, joilla olisi kokemusta rekrytointityöstä ammatissaan. Kutsussa pyydettiin pohtimaan erityisesti sitä, mitä näkökulmia ja huomioitavia seikkoja liittyy työttömän tai osatyökykyisen rekrytointiin rekrytoijan näkökulmasta. Kirjoituskutsussa vastaajille annettiin useita apukysymyksiä kirjoittamisen helpottamiseksi ja ohjaamiseksi. Apukysymyksissä kysyttiin mm. sitä, kiinnittääkö vastaaja rekrytoidessaan huomiota työnhakijan työttömyysjaksoihin, millaisia kokemuksia vastaajalla on tuetusta työllistämisestä ja mikä voisi lisätä kiinnostusta rekrytoida erityisesti työttömiä. Taustatietona kysyttiin sukupuolta, ikäryhmää sekä sitä, minkä toimialan tehtäviin vastaaja rekrytoi. Arkistoinnin yhteydessä taustatiedoista tuotettiin erillinen html-hakemisto, jonka avulla aineistoa on helppo selata."},"field_of_science":[{"id":"eb6d49d6-6bfc-4d8c-86b8-d9497924b295","url":"http://www.yso.fi/onto/okm-tieteenala/ta5","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Social sciences","fi":"YHTEISKUNTATIETEET","sv":"Samhällsvetenskaper"}}],"infrastructure":[],"issued":"2022-05-16","keyword":["rekrytointi","työnhaku","työhaastattelut","hakumenettelyt","ansioluettelot","työttömyys","osatyökykyiset","recruitment","interviewing for job","personnel selection","unemployment","job hunting","application for employment","unemployed","partially disabled people","resumes (employment)","Työllisyys ja työllistyminen","Työvoima- ja työllisyyspolitiikka","Employment","Labour and employment 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They were also asked whether they had voted in advance or on the election day in 1999. The survey charted what affected the respondents' choice in the parliamentary elections, and how important certain factual issues were when the respondents made their decisions to vote. Some questions dealt with which had affected the decision more, the party of the candidate or the candidate. The respondents were asked from what sources they had received additional information to support their voting decision, what campaign-related TV-commercials they had seen, and what they thought about the commercials. The respondents were asked whether they had participated in campaign rallies, whether they had visited the websites of the candidates or the parties, and whether they had contacted parties/candidates over the Internet. Furthermore, they were asked if they had used voting advice applications on the Internet. Those who had abstained were asked the reason for abstaining. The respondents were also asked to name a party they would vote if they were forced to do so, or to name the party that would be the least unpleasant choice. Furthermore, they were asked what cabinet coalition would be the best, and whether they were employed at the time of the survey. Background variables included the respondent's gender, mother tongue, age, marital status, composition, size and income of the household, education, occupation, information on work, trade union membership, social class and place of residence, voting in elections, and position in a left-right scale. Background variables have been updated in August 1998.","fi":"Eduskuntavaalitutkimuksessa vastaajilta kysyttiin, kävikö vastaaja äänestämässä vuoden 1996 kunnallisvaaleissa ja mitä puoluetta hän silloin äänesti. Eduskuntavaaleihin liittyen kysyttiin, äänestikö vastaaja vuosien 1995 ja 1999 eduskuntavaaleissa ja mitä puoluetta hän äänesti. Vuoden 1999 eduskuntavaaleihin liittyen kysyttiin myös, äänestikö hän ennakkoon vai varsinaisena vaalipäivänä. Tutkimuksessa selvitettiin, mitkä syyt vaikuttivat vastaajan tekemään valintaan eduskuntavaaleissa ja miten tärkeitä tietyt asiakysymykset olivat vastaajan tehdessä äänestyspäätöstä. Lisäksi tiedusteltiin, missä vaiheessa vastaaja teki äänestyspäätöksensä ja vaikuttiko äänestyspäätökseen enemmän ehdokkaan puolue vai ehdokas itse. Vastaajilta tiedusteltiin, mistä lähteistä he saivat tietoa äänestyspäätöksensä tueksi, mitä TV-mainoksia he olivat nähneet ja millaisia ne heidän mielestään olivat. Tutkimuksessa tiedusteltiin, olivatko vastaajat osallistuneet vaalitilaisuuksiin, olivatko he käyneet puolueiden tai ehdokkaiden Internet-sivuilla tai olivatko he ottaneet yhteyttä puolueeseen tai ehdokkaaseen Internetin kautta. Lisäksi kysyttiin, olivatko vastaajat käyttäneet vaalikoneita. Äänestämättä jättäneiltä kysyttiin, miksi he eivät olleet käyneet äänestämässä. Vastaajia pyydettiin myös nimeämään puolue, jota hän \"pakkotilanteessa\" äänestäisi tai mikä puolue hänestä olisi vähiten epämieluisa vaihtoehto. Lisäksi kysyttiin, mikä hallituspohja vastajan mielestä olisi paras ja oliko hän tutkimuksen tekohetkellä työssä. Taustamuuttujia ovat sukupuoli, äidinkieli, ikä, siviilisääty, kotitalouden koostumus, koko ja tulot, koulutus, ammatti, tietoja työpaikasta, ammattiyhdistysjäsenyys, yhteiskuntaluokka ja asuinpaikka, äänestäminen vaaleissa ja sijoittuminen vasemmisto-oikeisto -akselille. 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