When perceived informativity is not enough. How teachers perceive and interpret statistical results of educational research

K Schmidt, PA Edelsbrunner, T Rosman… - Teaching and Teacher …, 2023 - Elsevier
Teachers are encouraged to inform their professional actions by evidence. Consequently, it
is important to know how they perceive and understand statistical results. In a representative …

[图书][B] Fundamentals of statistical inference

N Hirschauer, S Grüner, O Mußhoff - 2022 - Springer
In modern life, data-based scientific propositions about the world are both omnipresent and
extremely important for sound decision-making in organizations and society as a whole …

Pitfalls of significance testing and -value variability: An econometrics perspective

N Hirschauer, S Grüner, O Mußhoff, C Becker - 2018 - projecteuclid.org
Data on how many scientific findings are reproducible are generally bleak and a wealth of
papers have warned against misuses of the p-value and resulting false findings in recent …

The p-Value and Statistical Significance Testing

N Hirschauer, S Grüner, O Mußhoff - … of Statistical Inference: What is the …, 2022 - Springer
This chapter relates the probabilistic basics of statistical inference to the methodological
debate about p-values and statistical significance. It describes the p-value and the null …

[图书][B] Rescuing Econometrics: From the Probability Approach to Probably Approximately Correct Learning

D Qin - 2023 - books.google.com
Haavelmo's 1944 monograph, The Probability Approach in Econometrics, is widely
acclaimed as the manifesto of econometrics. This book challenges Haavelmo's probability …

Economic experiments and inference

N Hirschauer, S Gruener, O Mußhoff, C Becker - 2019 - osf.io
Replication crisis and debates about p-values have raised doubts about what we can
statistically infer from research findings, both in experimental and observational studies. The …

[PDF][PDF] Pitfalls of significance testing and p-value variability: Implications for statistical inference

N Hirschauer, S Grüner, O Mußhoff… - The Centre for Statistics …, 2017 - uni-goettingen.de
Data on how many scientific findings are reproducible are generally bleak and a wealth of
papers have warned against false findings in recent years. This paper discusses the …