We present an overview of the use of power calculations in experimental economics as well as other disciplines. We review the methodology proposed by the field of economics as well the pitfalls in failing to incorporate power calculations in lab and field experiments. We write this note to further draw attention to the issue, and to make a case that details of power calculations should be reported in experimental economics papers. This note should serve as a reference and overview to researchers in experimental economics on power calculations
Power computations for one-level experimental designs that assume simple random samples are greatly ...
Power has been relatively ignored in statistical pedagogy and practice. Kraemer and ~°hie~~nr~’s boo...
In experimental research, planning studies that have sufficient probability of detecting important e...
Statistical power is an important detail to consider in the design phase of any experiment. This pap...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
This paper discusses the choice of the number of participants for within-subjects (WS) designs and b...
In experimental research, planning studies that have sufficient probability of detecting important e...
In experimental research, planning studies that have sufficient probability of detecting important e...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
In experimental research, planning studies that have sufficient probability of detecting important e...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
Power computations for one-level experimental designs that assume simple random samples are greatly ...
Power has been relatively ignored in statistical pedagogy and practice. Kraemer and ~°hie~~nr~’s boo...
In experimental research, planning studies that have sufficient probability of detecting important e...
Statistical power is an important detail to consider in the design phase of any experiment. This pap...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
This paper discusses the choice of the number of participants for within-subjects (WS) designs and b...
In experimental research, planning studies that have sufficient probability of detecting important e...
In experimental research, planning studies that have sufficient probability of detecting important e...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
In experimental research, planning studies that have sufficient probability of detecting important e...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
Power computations for one-level experimental designs that assume simple random samples are greatly ...
Power has been relatively ignored in statistical pedagogy and practice. Kraemer and ~°hie~~nr~’s boo...
In experimental research, planning studies that have sufficient probability of detecting important e...