2004
Volume 40, Issue 2
  • ISSN: 1573-9775
  • E-ISSN: 2352-1236

Abstract

Abstract

In order for communication research to be relevant for societal, practical, purposes, researchers should be able to formulate the communicative relevance of their results. The results of quantitative communication effect research as they are currently communicated, do not meet this requirement. Effect researchers are currently ill-equipped for qualitative evaluations of the relevance of their obtained effects. This state of affairs calls for reform, if societal embedding of our research is to become a requirement.

Loading

Article metrics loading...

/content/journals/10.5117/TVT2018.2.008.MULD
2018-12-01
2021-12-01
Loading full text...

Full text loading...

/deliver/fulltext/15739775/40/2/08_TVT2018.2_MULD.html?itemId=/content/journals/10.5117/TVT2018.2.008.MULD&mimeType=html&fmt=ahah

References

  1. Cumming, G. & Calin-Jageman, R.(2017). Introduction to the new statistics. Estimation, Open Science, & Beyond. New York/Londen: Routledge.
    [Google Scholar]
  2. Kline, R.B.(2013). Beyond significance testing. Statistical reform in the behavioral sciences(2e editie). Washington: APA.
    [Google Scholar]
  3. Land, J. & Sanders, T.(2003). Hoe begrijpelijk en aantrekkelijk zijn studieboekteksten op het VMBO. Levende Talen Tijdschrift, 4, 12-18.
    [Google Scholar]
  4. McGraw, K.O., & Wong, S.P.(1992). A common language effect size statistic. Psychological Bulletin, 111, 361-365.
    [Google Scholar]
  5. Mulder, G.(2016). De kwaliteit van onderzoek: Dichotoom denken versus meta-analytisch denken. Tijdschrift voor Taalbeheersing, 38, 163-173.
    [Google Scholar]
  6. Nuijten, M.N.(2016). Vals positieven: Geen gebrek aan integriteit, maar een teveel aan flexibiliteit. Tijdschrift voor Taalbeheersing, 38, 175-180.
    [Google Scholar]
  7. O’Keefe, D.J.(2013). The relative persuasiveness of different message types does not vary as a function of the persuasive outcome assessed: Evidence from 29 meta-analyses of 2,062 effect sizes for 13 message variations. Annals of the International Communication Association, 37, 221-249.
    [Google Scholar]
  8. Wilcox, R.R.(2012). Introduction to robust estimation and hypothesis testing (3e editie). Amsterdam: Academic Press.
    [Google Scholar]
  9. Wilcox, R.R.(2017). Understanding and applying basic statistical methods using R. Hoboken, NJ: Wiley.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.5117/TVT2018.2.008.MULD
Loading
  • Article Type: Research Article
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error