Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) initially reported on a growing trend towards more mathematical and statistical modeling; and a move away from null hypothesis significance testing (NHST). He defended and clarified those views in his sequel. Robinson and Levin argued against the perspective espoused by Rodgers and called for more research using experimentally manipulated interventions and less emphasis on correlational research and ill-founded prescriptive statements. In this response, the goal of science and major scientific approaches are discussed as well as their strengths and shortcomings. Consideration is given to how their recent articles intersect or differ on these poin...
ABSTRACT—The statistic prep estimates the probability of replicating an effect. It captures traditio...
In this chapter, we review some current controversies in statistics and measurement and suggest what...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last ...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
We describe statistical modeling as a powerful alternative to null hypothesis significance testing (...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
A paradigm shift away from null hypothesis significance testing seems in progress. Based on simulati...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in...
ABSTRACT—The statistic prep estimates the probability of replicating an effect. It captures traditio...
In this chapter, we review some current controversies in statistics and measurement and suggest what...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Null hypothesis significance testing (NHST) has been the subject of debate for decades and alternati...
Null hypothesis significance testing (NHST) is arguably the mosl widely used approach to hypothesis ...
Over many decades, one seemingly fatal critique after another has been launched against the use of s...
Null-hypothesis significance tests (NHSTs) have received much criticism, especially during the last ...
Criticisms of traditional null hypothesis significance testing (NHST) became more pro-nounced during...
We describe statistical modeling as a powerful alternative to null hypothesis significance testing (...
Problemification: Over-reliance on null hypothesis significance testing (NHST) is one of the most im...
A paradigm shift away from null hypothesis significance testing seems in progress. Based on simulati...
Null hypothesis significance testing (NHST) has long been a mainstay of scientific research, more in...
ABSTRACT—The statistic prep estimates the probability of replicating an effect. It captures traditio...
In this chapter, we review some current controversies in statistics and measurement and suggest what...
In spite of the widespread use of significance testing in empirical research, its interpretation and...