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The KnowledgeBank at OSU (76.052 recursos)

Knowledge Bank contains collections of presentations, publications and reports related to Ohio State University.

Ask: Research and Methods. Volume 20, Issue 1 (2011)

Mostrando recursos 1 - 5 de 5

  1. How to Prepare an Advance Letter? The ESS Experience in Poland

    Sztabiński, Paweł B.
    When we send advance letters to the sampled persons in a survey, we expect that the recipients will read them and, based on the information provided, will decide on their participation in the survey. Therefore, the letter is expected to play an important role paving the way for the interaction with the interviewer. Findings from in-depth interviews with hard refusers from ESS 3 (2006) and ESS 4 (2008) presented in this paper indicate that such individuals are generally not interested in the mailing received and can hardly remember anything from it. The paper also shows how, following the findings of...
    - 04-jun-2015

  2. Missing by Design: Planned Missing-Data Designs in Social Science

    Pokropek, Artur
    This article presents research designs that employ modern statistical tools to optimize costs and precision of research along with some additional methodological advantages. In planned missing-data designs some parts of information about respondent are purposely not collected. This gives flexibility and opportunity to explore a broad range of solutions with considerably lower cost. Modern statistical tools for coping with missing-data, namely multiple imputation (MI) and maximum likelihood estimation with missing data (ML) are presented. Several missing-data designs are introduced and assessed by Monte Carlo simulation studies. Designs particularly useful in surveys, longitudinal analysis and measurement applications are showed and tested...
    - 04-jun-2015

  3. Developing Attitudinal Indicators of Societal Progress

    Harrison, Eric; Jowell, Roger; Sibley, Elissa
    This paper reports progress on a project to develop a set of ‘attitudinal indicators of societal progress’, as part of the wider methodological research agenda associated with the European Social Survey. It recognises the recent contribution of ‘happiness economics’ in moving the debate about the progress of societies ‘beyond GDP’, but seeks to move the agenda on in two ways. Firstly it focuses more on cognitive evaluations of society’s functioning than measures of affect like happiness. Secondly it is less concerned with the psychological wellbeing of individuals and more with the social wellbeing of aggregates, whether these are neighbourhoods, regions...
    - 04-jun-2015

  4. A Good Mix? Mixed Mode Data Collection and Cross-National Surveys

    Martin, Piotr
    Can cross-national surveys benefit from mixed mode data collection? This article provides a classification of the different ways in which modes of data collection may be mixed within a cross-national survey, and investigates the methodological consequences of such designs. Mixed mode designs have the potential to lower survey costs relative to single-mode face-to-face surveys, while maintaining higher response rates than cheaper modes alone could. Yet since responses to survey questions are not always independent of the survey mode, mixed mode designs endanger cross-national measurement equivalence (as well as, in the case of time series surveys, diachronic equivalence), so that cross-national...
    - 04-jun-2015

  5. Do More Contact Attempts Reduce Non-Response Bias in Representative Face-to-Face Interviews? Findings from a PAPI Survey with a Low Response Rate

    Jabkowski, Piotr
    The aim of this article is to examine whether providing pollsters with multiple opportunities to carry out interviews with a sample of randomly selected respondents reduces non-response bias. First, I present the procedures for assessing non-response bias in sociological surveys, opting for a method based on post-stratification weights. Next, using a unique dataset, I address four basic questions related to the research problem: (1) Do more contact attempts reduce the dissimilarity between the sample and population distributions? (2) Do more contact attempts reduce the need for post-stratification weighting? (3) Which categories of respondents are underrepresented and/or overrepresented in the sample...
    - 04-jun-2015

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