scholarly journals A large-scale validation study of measurement errors in longitudinal survey data

2007 ◽  
Vol 32 (2-3) ◽  
pp. 65-92 ◽  
Author(s):  
Nicolai Kristensen ◽  
Niels Westergaard-Nielsen
Keyword(s):  
Survey Data ◽  
Validation Study ◽  
Measurement Errors ◽  
Large Scale ◽  
Scale Validation ◽  
Longitudinal Survey ◽  
Longitudinal Survey Data

scholarly journals Large-scale validation of SCIAMACHY reflectance in the ultraviolet

2005 ◽  
Vol 5 (2) ◽  
pp. 1771-1796 ◽  
Author(s):  
G. van Soest ◽  
L. G. Tilstra ◽  
P. Stammes
Keyword(s):  
Radiative Transfer ◽  
Validation Study ◽  
Large Scale ◽  
Scale Validation ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Time Level ◽  
Standard Calibration ◽  
Level 1 ◽  
Reflectance Data

Abstract. In this paper we present an extensive validation of calibrated SCIAMACHY nadir reflectance in the UV (240–400 nm) by comparison with spectra calculated with a fast radiative transfer model. We use operationally delivered near-real-time level 1 data, processed with 5 standard calibration tools. A total of 9 months of data has been analysed. This is the first reflectance validation study incorporating such a large amount of data. It is shown that this method is a valuable tool for spotting spatial and temporal anomalies. We conclude that SCIAMACHY reflectance data in this wavelength range are stable over the investigated period. In addition, we show an example of an 10 anomaly in the data due to an error in the processing chain that could be detected by our comparison. This validation method could be extremely useful too for validation of other satellite spectrometers, such as OMI and GOME-2.

Exploring How Beliefs About Algorithms Shape (Offline) Success in Online Dating: A Two-Wave Longitudinal Investigation

2020 ◽  
pp. 009365021989693
Author(s):  
Liesel L. Sharabi
Keyword(s):  
Survey Data ◽  
Online Dating ◽  
Longitudinal Survey ◽  
The Internet ◽  
Central Feature ◽  
Matching Process ◽  
Longitudinal Investigation ◽  
Longitudinal Survey Data ◽  
People’S Perceptions

Matching algorithms are a central feature of online dating, yet little research exists on their effectiveness—or people’s perceptions of their effectiveness—for recommending a mate. Accordingly, this study explores the effects of people’s beliefs in the legitimacy of algorithms on their first date with an online dating partner. Longitudinal survey data were collected from online dating participants leading up to and following the first date. Findings suggested that whether algorithms actually worked mattered less than whether participants had the perception that they worked for finding a partner. Moreover, participants reported better first dates to the extent that they believed in the efficacy of the compatibility matching process. The results have implications for understanding the role of algorithms in shaping relationship success on and off the internet.

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