TY - JOUR
T1 - Een significant probleem
AU - Mulder, G.
PY - 2019/4
Y1 - 2019/4
N2 - Null-hypothesis significance testing is the major form of inferential statistics in the field of applied communication research. On many occasions, substantive conclusions are drawn solely on the basis of the (in)significance of a test result. The justification for these conclusions, however, is suspect, because the results of significance testing are too often misinterpreted. The questionable practice of drawing conclusions based on misunderstandings poses a significant problem for the scientific status of communication research. In this contribution the so-called big five misunderstandings (Kline, 2013) of significance testing are described and explained.
AB - Null-hypothesis significance testing is the major form of inferential statistics in the field of applied communication research. On many occasions, substantive conclusions are drawn solely on the basis of the (in)significance of a test result. The justification for these conclusions, however, is suspect, because the results of significance testing are too often misinterpreted. The questionable practice of drawing conclusions based on misunderstandings poses a significant problem for the scientific status of communication research. In this contribution the so-called big five misunderstandings (Kline, 2013) of significance testing are described and explained.
KW - significance testing
KW - p-values
KW - methodology
U2 - 10.5117/TVT2019.1.014.MULD
DO - 10.5117/TVT2019.1.014.MULD
M3 - Article
SN - 0166-4379
VL - 41
SP - 203
EP - 213
JO - Tijdschrift voor Taalbeheersing
JF - Tijdschrift voor Taalbeheersing
IS - 1
ER -