Items where Author is "Maslovskaya, Olga"

Maslovskaya, Olga and Durrant, Gabriele and Calderwood, Lisa and Nicolaas, Gerry and Wilson, Laura (2024) Survey Data Collection Network (SDC-Net): The impact of Covid-19 on survey data collection methods in the social sciences. Project Report. National Centre for Research Methods.

Daly, Mike and Dale, Michael and McAlpine, Ally and Portanti, Martina and Spiers, Andrew and Durrant, Gabriele and Maslovskaya, Olga (2023) SDC-Net final meeting: Decisions, decisions, decisions – survey commissioning in a multi-source, multi-mode world. [Video]

Maslovskaya, Olga and Smith, Peter and Durrant, Gabriele (2020) Do respondents using smartphones produce lower quality data? Evidence from the UK Understanding Society mixed-device survey. NCRM Working Paper. NCRM. (Unpublished)

Wilson, Laura and Maslovskaya, Olga (2019) Report: A summary of the agreed challenges, opportunities and best practice for online data collection in the UK in 2019 and the future. Project Report. NCRM & ONS.

Maslovskaya, Olga (2019) Dr Olga Maslovskaya: What is Data Survey Quality? [Video]

Maslovskaya, Olga (2019) Dr Olga Maslovskaya: Data Quality: Total Survey Error (TSE). [Video]

Maslovskaya, Olga (2018) What is data quality? [Video] (Unpublished)

Kibuchi, Eliud and Sturgis, Patrick and Durrant, Gabriele and Maslovskaya, Olga (2018) Do interviewers moderate the effect of monetary incentives on response rates in household interview surveys. In: NCRM Research Methods Festival 2018, 3rd - 5th July 2018, University of Bath. (Submitted)

Kibuchi, Eliud and Sturgis, Patrick and Durrant, Gabriele and Maslovskaya, Olga (2018) Do interviewers moderate the effect of monetary incentives on response rates in household interview surveys? NCRM Working Paper. NCRM.

Maslovskaya, Olga and Durrant, Gabriele and Smith, Peter and Hanson, Tim and Villar, Ana (2017) Mixed-device online surveys in the UK. NCRM Working Paper. NCRM. (Unpublished)

Maslovskaya, Olga and Durrant, Gabriele and Smith, Peter (2016) Using Paradata and Previous Wave Information to Predict Final Outcome and Length of Call Sequence in a Longitudinal Study. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Unpublished)