Statistical power is an important detail to consider in the design phase of any experiment. This paper serves as a reference for experimental economists on power calculations. We synthesize many of the questions and issues frequently brought up regarding power calculations and the literature that surrounds that. We provide practical coded examples and tools available for calculating power, and suggest when and how to report power calculations in published studies
This paper discusses the choice of the number of participants for within-subjects (WS) designs and b...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
The power of a statistical test is the probability that it will yield a statistically significant re...
We present an overview of the use of power calculations in experimental economics as well as other d...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
Power analysis is an important tool to use when planning studies. This contribution aims to remind r...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
Power computations for one-level experimental designs that assume simple random samples are greatly ...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
Statistical power is key to planning studies if understood and used correctly. Power is the probabil...
Despite the funding agencies growing demands towards power analyses, we believe researchers are stil...
In experimental research, planning studies that have sufficient probability of detecting important e...
This paper discusses the choice of the number of participants for within-subjects (WS) designs and b...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
The power of a statistical test is the probability that it will yield a statistically significant re...
We present an overview of the use of power calculations in experimental economics as well as other d...
Estimates of statistical power are widely used in applied research for purposes such as sample size ...
In this paper, we discuss the importance of teaching power considerations in statistical hypothesis ...
Power analysis is an important tool to use when planning studies. This contribution aims to remind r...
Given that an effect size of d = .4 is a good first estimate of the smallest effect size of interest...
Power computations for one-level experimental designs that assume simple random samples are greatly ...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
This paper discusses the need and importance of statistical power analysis in field-based empirical ...
Determining appropriate sample size is often a difficult decision in the process of developing quant...
Statistical power is key to planning studies if understood and used correctly. Power is the probabil...
Despite the funding agencies growing demands towards power analyses, we believe researchers are stil...
In experimental research, planning studies that have sufficient probability of detecting important e...
This paper discusses the choice of the number of participants for within-subjects (WS) designs and b...
In this paper we address ongoing confusion over the meaning of statistical significance and statisti...
The power of a statistical test is the probability that it will yield a statistically significant re...