Diplomdarbs „Tieksmes līmeņa korekcija brīvprātīgo interneta apsekojumu gadījumā” ir veltīts interneta aptauju tematikai, kurā aprakstītas galvenās teorētiskās un praktiskās atšķirības no tradicionālajām gadījumu izlases apsekojumu metodēm. Diplomdarbā tiek praktiski pielietota dubultizlašu metode ar tieksmes līmeņa korekcijas svarošanas paņēmienu. Iegūtie rezultāti tiek salīdzināti ar jau esošajiem pētījumu uzņēmuma Gemius datiem kā arī izdarīti secinājumi par atšķirīgajiem svarošanas mehānismiem. Ar pētījumā izdarītajiem secinājumiem ir plānots dalīties pieredzē starp nozares profesionāļiem. Atslēgvārdi: varbūtiskās izlases, ne-varbūtiskās izlases, interneta apsekojumi, dubultizlases, tieksmes līmeņa korekcija.Diploma paper "Propensity S...
Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent ...
"Inference from Web surveys may be affected by non-random selection of Web survey participants. One ...
The use of model-based propensity scores as matching tools opens the way to the indirect estimation ...
The chapter aims to explore and evaluate in more detail the efficiency of the propensity score adjus...
Survey data collection from volunteer Web panels is growing in popularity. While this practice has o...
Propensity scores have been suggested in previous literature as a method for weighting volunteer we...
Panels of persons who volunteer to participate in Web surveys are used to make estimates for entire ...
Web surveys have become popular recently because of their attractive advantages of data collection. ...
A combination of propensity score and calibration adjustment is shown to reduce bias in volunteer pa...
Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent ...
Abstract Background In health research, population estimates are generally obtained from probabilit...
Inference from Web surveys may be affected by non-random selection of Web survey participants. One a...
One of the main sources of inaccuracy in modern survey techniques, such as online and smartphone sur...
The development of new survey data collection methods such as online surveys has been particularly ...
The use of model-based propensity scores as matching tools opens the way to the indirect estimation ...
Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent ...
"Inference from Web surveys may be affected by non-random selection of Web survey participants. One ...
The use of model-based propensity scores as matching tools opens the way to the indirect estimation ...
The chapter aims to explore and evaluate in more detail the efficiency of the propensity score adjus...
Survey data collection from volunteer Web panels is growing in popularity. While this practice has o...
Propensity scores have been suggested in previous literature as a method for weighting volunteer we...
Panels of persons who volunteer to participate in Web surveys are used to make estimates for entire ...
Web surveys have become popular recently because of their attractive advantages of data collection. ...
A combination of propensity score and calibration adjustment is shown to reduce bias in volunteer pa...
Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent ...
Abstract Background In health research, population estimates are generally obtained from probabilit...
Inference from Web surveys may be affected by non-random selection of Web survey participants. One a...
One of the main sources of inaccuracy in modern survey techniques, such as online and smartphone sur...
The development of new survey data collection methods such as online surveys has been particularly ...
The use of model-based propensity scores as matching tools opens the way to the indirect estimation ...
Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent ...
"Inference from Web surveys may be affected by non-random selection of Web survey participants. One ...
The use of model-based propensity scores as matching tools opens the way to the indirect estimation ...