Search results for "Statistics"

showing 10 items of 7671 documents

The relationship between organizational interdependency and additionality obtained from innovation ecosystem participation

2019

Abstract Despite the increased interest in innovation ecosystems, few studies have assessed the extent to which the proclaimed benefits from participating in such ecosystems also occur, and under which circumstances they do occur. Uniting the literature on organizational interdependence and social exchange theory, we assess the behavioral and output additionality obtained by innovation ecosystem participants. In doing so, we build upon a sample of 473 innovative Finnish companies, of which 312 participated in an innovation ecosystem. We find a significantly positive relationship between organizational interdependence and output additionality, and find that this relationship is mediated by b…

ALLIANCE FORMATIONPublic AdministrationGeography Planning and DevelopmentSample (statistics)Management Monitoring Policy and LawSOCIAL-EXCHANGE THEORYCOLLABORATIONBusiness and Economicsorganizational interdependenceVALUE CREATIONAdditionalityadditionalityBOARD COMPOSITIONSUPPORTDEVELOPMENT SUBSIDIESEcosystemSTRATEGYValue creationPublic economicsRESEARCH-AND-DEVELOPMENTPOLICYinnovation ecosystemsocial exchange theoryComputingMilieux_GENERALSocial exchange theoryEarth and Environmental SciencesPositive relationshipBusiness
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Using the Johnson-Neyman Procedure to Detect Item Bias in Personality Tests

2016

I present an alternative to a widely used item-bias analysis procedure known as the ANOVA method. The new method is based on the Johnson-Neyman procedure, which is a multiple regression-based technique with properties that can overcome the major weaknesses of the ANOVA method. I introduce the proposed procedure in a non-technical manner, provide an illustrative example, and suggest guidelines for empirical analysis that can be readily applied in personality research.

ANOVAItem biasmedia_common.quotation_subject05 social sciencesitem biasItem Response Theory (IRT)050109 social psychologyPersonality researchDifferential item functioningJohnson-Neyman0502 economics and businessLinear regressionStatisticsdifferential item functioningPersonality050211 marketing0501 psychology and cognitive sciencesPsychologyApplied Psychologymedia_common
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Diagnostic utility of new short versions of AUDIT to detect binge drinking in undergraduate students

2021

ABSTRACT This study examines the usefulness of two AUDIT adaptations with a sample of 907 undergraduate alcohol users. On the one hand, it includes the AR2i that encompasses revised A2r and A3r consumption items, and on the other hand—in addition to the two former items—the inclusion of items 4, 8, and 9, which evaluate consequences. The results indicate that both adaptations identify BD more precisely than the traditional scales (AUDIT and AUDIT-C), but the usefulness of each will depend on the clinical purpose they are given. In environments where time is a key factor in detecting high-risk consumption it will be more appropriate to use AR2i, which evaluates the pattern of con…

AR2iUndergraduate studentsApplied psychology030508 substance abuseBinge drinkingauditSample (statistics)Binge drinkingAuditar2i03 medical and health sciences0302 clinical medicinePsychologyROC030212 general & internal medicineConsumption (economics)Alcohol usersundergraduate studentsbinge drinkingBF1-990Clinical PsychologyrocAUDIT0305 other medical sciencePsychologyInclusion (education)Young person
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Are remote sensing evapotranspiration models reliable across South American ecoregions?

2021

Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM-MOD), and Penman–Monteith Nagler model (PME-VI).…

ATMOSPHERE WATER FLUXVEGETATION INDEXCalibration (statistics)Penman-MonteithBiomeRIPARIAN EVAPOTRANSPIRATIONFluxLand coverSURFACE-TEMPERATUREtranspirationSEMIARID ENVIRONMENTCARBON-DIOXIDEENERGY-BALANCE CLOSUREEvapotranspirationPenman–Monteith equationWater Science and TechnologyRemote sensingRAINFALL INTERCEPTIONLand useWACMOS-ET PROJECTEDDY COVARIANCE MEASUREMENTSMODISEarth and Environmental SciencesEnvironmental sciencePriestley-TaylorScale (map)
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PENERAPAN METODE SINGLE MOVING AVERAGE DAN EXSPONENTIAL SMOOTHING PADA USAHA ASRIE MODESTA

2020

This study  aims to (1) analyze the number of demands for batik products in the second period of 2018. (2) To analyze the most appropriate forecasting method. (3) To analyze the forecasting of the first period in 2019 using the selected forecasting method.
 This reseach uses primary data and secondary data with data collection techniques using interviews, observation, and documentation. The analysis used is Single Moving Averages and Exsponential Smoothing. 
 The results of research in forecasting demand for batik products in 2019 with the Single Moving Average method are 3,936 units with Mean Absolute Deviation (MAD) of 632.5 units and Mean Square Error (MSE) of 693,718 units. An…

Absolute deviationData collectionPolymers and PlasticsMean squared errorMoving averageAlpha ValueStatisticsWord error rateBusiness and International ManagementDemand forecastingIndustrial and Manufacturing EngineeringSmoothingMathematicsCakrawala Management Business Journal
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Dynamic mean absolute error as new measure for assessing forecasting errors

2018

Abstract Accurate wind power forecast is essential for grid integration, system planning, and electricity trading in certain electricity markets. Therefore, analyzing prediction errors is a critical task that allows a comparison of prediction models and the selection of the most suitable model. In this work, the temporal error and absolute magnitude error are simultaneously considered to assess the forecast error. The trade-off between both types of errors is computed, analyzed, and interpreted. Moreover, a new index, the dynamic mean absolute error, DMAE, is defined to measure the prediction accuracy. This index accounts for both error components: temporal and absolute. Real cases of wind …

Absolute magnitudeWind powerIndex (economics)Renewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industry020209 energyWork (physics)Energy Engineering and Power Technology02 engineering and technology021001 nanoscience & nanotechnologyGridMeasure (mathematics)Fuel TechnologyNuclear Energy and EngineeringStatistics0202 electrical engineering electronic engineering information engineeringElectricity0210 nano-technologybusinessPredictive modellingEnergy Conversion and Management
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Personal variables, motivation and avoidance learning strategies in undergraduate students

2014

Abstract This study examines the relationships among students' personal variables, their initial motivation and the avoidance learning strategies they used during the teaching/learning process followed in the Educational Psychology subject matter. The sample comprised 195 Spanish undergraduate students who studied Educational Psychology. A questionnaire was administered at the beginning of the academic year to measure students' personal variables and their initial motivation, while another was administered at the end of the academic year to measure students' involvement in their learning process through the avoidance strategies they used. The data analysis was done by using structural equat…

Academic yearSocial PsychologyHigher educationbusiness.industryEducational psychologytheoretical frameworkSample (statistics)Structural equation modelingEducationSubject matterresearch in the classroomAvoidance learninghigher educationDevelopmental and Educational PsychologyMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONeducational settingPsychologybusinessinstructional model
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Toward adjustment profiles for lower secondary student-athletes in the Finnish dual career context: A mixed-methods approach

2022

Engagement, burnout, and experiences are central concepts for understanding student-athlete adjustment in a dual career (DC) environment. As part of a larger 3-year, lower secondary sports schools pilot project, the aim of this study was to examine student-athletes’ DC adjustment in Finnish lower secondary sports schools at the end of the second academic year. By combining quantitative and qualitative methods, we sought to (a) identify adjustment profiles among student-athletes based on measures of engagement and burnout in school and sport and (b) to extract experiences that describe the distribution of student-athletes in the profiles. A latent profile analysis using questionnaire data fr…

Academic yearburnoutpragmatismmixed methodsyläkoululaiseteducationSample (statistics)Context (language use)sitoutuminenBurnoutuupumusDual (category theory)Developmental psychologySkills managementurheilu-uranuoretopiskeluTime managementexperiencesPsychologyApplied PsychologyengagementajanhallintaurheilijatQualitative researchPsychology of Sport and Exercise
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Kasiski's Test: Couldn't the Repetitions be by Accident?

2006

Abstract In searching for repetitions in a periodic polyalphabetic ciphertext, we usually find several true (causal) repetitions that give information about the period. But we also find some accidental repetitions at distances unrelated to the period which may mislead the cryptanalyst. A simple formula shows that these accidents are rather unlikely.

Accident (fallacy)Repetition (rhetorical device)Applied MathematicsAccidentalCiphertextStatisticsArithmeticBirthday problemComputer Science ApplicationsMathematicsTest (assessment)Cryptologia
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Audit and Earnings Management in Spanish SMEs

2016

Abstract Evidence about the relation between earnings management and voluntary audits is scarce, and there is no research about the effectiveness of mandatory audits to improve earnings quality. Using a sample of Spanish SMEs, where some companies are mandatorily audited and some are exempt from audit, we examine if audits, either mandatory or voluntary, help to improve accounting quality by constraining earnings management. We also examine differences between voluntary and mandatory audits, as well as the role of Big 4 and Middle-Tier auditors. After controlling for other characteristics that affect earnings management, we find that audited companies have lower absolute discretionary accru…

Accrualmedia_common.quotation_subjecteducationSMEsAccountingSample (statistics)Auditlcsh:BusinessConservatismEarnings qualityEarnings managementhealth services administration0502 economics and businessddc:650Earnings qualityQuality (business)health care economics and organizationsmedia_commonFinance050208 financebusiness.industry05 social sciencesAuditing050201 accountingGeneral MedicineEarnings managementSpainBusinesslcsh:HF5001-6182SSRN Electronic Journal
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