Open peer commentary on the article “Second-Order Science of Interdisciplinary Research: A Polyocular Framework for Wicked Problems” by Hugo F. Alrøe & Egon Noe. Upshot: Alrøe and Noe are right in addressing Rittel and Webber’s notion of “wicked problems” as crucial for interdisciplinary research. However, I can see neither that they are providing a sufficiently clear understanding of “science” in their concept of a “second-order science of interdisciplinary research,” nor that their “polyocular framework” can contribute anything useful to addressing the (...) practical challenges posed by wicked problems. (shrink)

Resumen. Se analizan de forma detallada las bases del muestreo multietápico, la estimación de submuestreo y el muestreo de respuesta aleatoria. Se presentan las ecuaciones pertinentes ejemplificando por medio de casos reales. También se argumentan las situaciones en donde se debe utilizar estos casos específicos. Palabras claves. Caso multietápico, muestreo de respuesta aleatoria, submuestreo.. The basics of multi-stage sampling, sub-sampling and random response sampling are analyzed. Detailed equations regarding these types of sampling are provided. The applications of these types of (...) samplings are denoted by means of real case studies. Keywords. Multi-stage sampling, sub-sampling, random response sampling. (shrink)

Palabras claves. Métodos estadísticos, pruebas de hipótesisResumen. Se presentan de forma simple, breve y por medios de los ejemplos prácticos, los métodos estadísticos que sirven para demostrar la representatividad de una, dos o varias muestras basada en los parámetros poblacionales . Se indican la manera de reducir el tamaño del error experimental para aclarar el efecto significativo de los grupos o muestras bajo el interés . Además, se demuestran la forma de eliminar el efecto de las variables auxiliares o colaterales (...) causante del ruido o error en la estadística . También se nota el uso del modelo ANOVA Anidada para indicar la forma de segmentar la ANOVA en varias partes y de esta manera poder contestar preguntas más complejas. Finalmente, se describen e explican la forma de optimizar los recursos en la conducción de los experimentos y descubrir el efecto de la interacción entre las variables .Keywords. Hypothesis testing, statistical methods. Statistical methods that serve to represent, based upon population parameters of mean and variance, for one, tow or various samples taken from study populations are discussed. Ways to reduce the amount of experimental error in order to clarify the real effect of the treatments are demonstrated . The use of Covariance Analysis to show the pure effect of treatment free from the effect of collateral variables is also indicated. Nested ANOVA that allows division of ANOVA in several parts in order to answer complex questions is described and explained. Finally, the utility of Factorial Analysis for optimization of resource use as well as the illustration of interaction effects are noted and analyzed. (shrink)

Philosophy; philosophical theology; philosophical anthropology; history.