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The KnowledgeBank at OSU (80.071 recursos)

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

Ask: Research and Methods. Volume 16, Issue 1 (2007)

Mostrando recursos 1 - 6 de 6

  1. Skale ryzyka nadmiernego używania internetu

    Kaliszewska, Katarzyna
    In the article the theoretical bases and the psychometric characteristics of the Excessive Internet Use Risk Scales were presented. The scales were constructed for the needs of empirical research conducted in order to psychologically characterize the Excessive Internet Use phenomenon. The psychometric parameters of the scales are satisfactory and it may be assumed that this tool can be successfully used in individual and group research as well as in inter-group comparisons of the Excessive Internet Use variable.

  2. Analiza danych jakościowych przy użyciu programów komputerowych

    Bieliński, Jacek; Iwińska, Katarzyna; Rosińska-Kordasiewicz, Anna
    Qualitative and quantitative research are embedded in different epistemological traditions and typically differ in tools applied in data analysis. The computer software was mostly used within quantitative design to carry out statistical analysis. Among qualitative researchers there is a widespread opinion that computer software applied in qualitative analysis might kill (by subsuming to the standardized, uniformed procedures) the freshness and relevance of rich and non-reductionable empirical data. Nevertheless, since early nineties, the computer software has been growing more and more popular in qualitative research process. The software is more and more widely used in cataloguing, sorting out and data retrieval...

  3. Wpływ niezrealizowania części wywiadów na trafność wnioskowania statystycznego w badaniach społecznych. Technika wywiadu kwestionariuszowego oraz telefonicznego w świetle błędów nielosowych

    Jabkowski, Piotr
    The article concerns the question of inaccessible units set in the perspective of the theory of statistical conclusion. The focus is on consequences of omitting of non-sampling errors resulting from the lack of knowledge of distribution of the opinions of people who were selected but not included in the sample. It has been shown that non-sampling errors resulting from not carrying out of part of the test (if they are not restricted efficiently) disturb the results to such an extent that drawing any reasonable conclusions becomes practically impossible. The article consists of three parts connected with each other. In the...

  4. Are Non-Respondents Similar to Respondents? Findings from the ESS-2004 in Poland

    Sztabiński, Franciszek; Sztabiński, Paweł B.; Przybysz, Dariusz
    In Poland, like in other countries, participation in surveys is declining over time. The growing non-response rates increase a risk of systematic bias of the results depending on the differences between non-respondents and respondents. In this article we attempt to assess how different are non-respondents from the survey participants in Poland. I approaching this question we refer to the two basic hypotheses concerning non-responses. The first hypothesis concerns the relationship between participation in surveys and the socio economic status (SES); the second hypothesis concerns relationship between the participation and social involvement/social isolation, and liberalism/conservatism. These hypotheses are tested using data...

  5. Choosing among Discrete Choice Models for Voting Behavior

    Dubrow, Joshua Kjerulf
    Analyses presented in this paper aim at testing demographic cues hypothesis, which explains voting behavior as a function of the distance between the voter and the object of the vote, expressed as demographic similarity. Four types of multivariate regression models–binomial logistic (BNL), multinomial logistic (MNL), contrast logistic (CONTRAST), and conditional logistic (CLOGIT)–are applied to explain vote choice among Polish parties in the 1997 parliamentary election. For all models I use survey data combined with information on political parties derived from characteristics of the electoral candidates. The results demonstrate that for testing demographic cues hypothesis CLOGIT and BNL are the most...

  6. Hierarchical Modeling: Properties and Application

    Wilk, Katarzyna
    Empirical analyses of hierarchical data are important in various disciplines, but are most common to the social sciences. Until the 1980’s, when the method of multilevel modeling was introduced, researchers dealt with the problem of nested data in a variety of ways, none of which was completely effective or accurate. The method of hierarchical modeling, and softwares such as HLM or MLwiN, provide the most appropriate available tools for dealing with the nested data. This article intends to introduce this strategy, as well as provide an empirical example to illustrate the relative advantages of using it to perform analysis.

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