256
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Investigating Non-Linear Trends in Questionnaire Studies Using Contrastive Bipolar Scales

ORCID Icon & ORCID Icon

References

  • Anstatt, T. (2016). Subjektive frequenz als forschungsmethode. Wiener Slawistischer Almanach, 77, 7–35.
  • Durbin, J., & Watson, G. S. (1950). Testing for serial correlation in least squares regression. I. Biometrika, 37(3–4), 409–428.
  • Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage Publications Ltd.
  • Hentschel, G. (in press). Obserwacje dotyczące rozpowszechnienia germanizmów leksykalnych we współczesnym regiolekcie śląskim [Observations on the spread of lexical Germanisms in the contemporary Silesian regiolect] (Lingvaria). Cracow.
  • Hentschel, G., Fekete, I., & Tambor, J. (in press). Głos w sprawie aktualnego stanu użycia zapożyczeń niemieckich we współczesnym etnolekcie śląskim i postaw językowych jego użytkowników. (Raport wstępny z projektu badawczego) [On the vitality of German loans in contemporary Silesian ethnolect and linguistic attitudes of its users. (Preliminary results from an ongoing research project)] (Forum Lingwistyczne). Katowice.
  • Lin, X., & Zhang, D. (1999). Inference in generalized additive mixed models by using smoothing splines. Journal of the Royal Statistical Society, Series B, 61, 381–400.
  • Massey, F. (1951). The Kolmogorov-Smirnov test for goodness of fit. Journal of the American Statistical Association, 46(253), 68–78.
  • Muysken, P. (2011). Code-switching. In R. Mesthrie (Ed.), The Cambridge handbook of sociolinguistics (pp. 301–314). Cambridge: Cambridge University Press.
  • R Development Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available online at https://www.R-project.org/.
  • Sekhon, J. S. (2011). Multivariate and propensity score matching software with automated balance optimization: The matching package for R. Journal of Statistical Software, 42(7), 1–52.
  • Sóskuthy, M. (2017). Generalised additive mixed models for dynamic analysis in linguistics: A practical introduction (arXiv:1703.05339 [stat: AP]).
  • Team, R. (2015). RStudio: Integrated development for R. Boston, MA: RStudio, Inc. Available online at http://www.rstudio.com/
  • Wood, S. (2006). Generalized additive models: An introduction with R. Boca Raton: Chapman & Hall/CRC.
  • Wood, S. (2009). gamm4: Generalized additive mixed models using mgcv and lme4. R package. Retrieved from http://CRAN.R-project.org/package=gamm4
  • Wood, S. (2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society, Series B, 73, 3–36.
  • Zeileis, A., & Hothorn, T. (2002). Diagnostic checking in regression relationships. R News, 2(3), 7–10.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.