When ANOVA Isn't Ideal: Analyzing Ordinal Data from Practical Work in Biology

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ranking DMUs by ideal points in the presence of fuzzy and ordinal data

Envelopment Analysis (DEA) is a very eective method to evaluate the relative eciency of decision-making units (DMUs). DEA models divided all DMUs in two categories: ecient and inecientDMUs, and don't able to discriminant between ecient DMUs. On the other hand, the observedvalues of the input and output data in real-life problems are sometimes imprecise or vague, suchas interval data, ordinal da...

متن کامل

Analyzing Ordinal Repeated Measures Data Using SAS®

This paper provides a brief review of commonly used statistical methods for analyses of ordinal response data. Generalized CMH Score Tests of Marginal Homogeneity, GEE, and random-intercepts logistic regression ordinal model for analysis of repeated ordinal response data will be particularly discussed. SAS procedures, Proc NLMIXED, Proc GENMOD, Proc IML, and Proc FREQ for categorical ordinal an...

متن کامل

Transition Models for Analyzing Longitudinal Data with Bivariate Mixed Ordinal and Nominal Responses

In many longitudinal studies, nominal and ordinal mixed bivariate responses are measured. In these studies, the aim is to investigate the effects of explanatory variables on these time-related responses. A regression analysis for these types of data must allow for the correlation among responses during the time. To analyze such ordinal-nominal responses, using a proposed weighting approach, an ...

متن کامل

Practical methods for ordinal data meta-analysis in stroke

Ordinal outcomes are common in medical research. However, in meta-analyses, they are routinely analysed as binary outcomes. The aim of this study was to compare fixed effects meta-analyses using ordinal methods (proportional odds) with binary methods (binary logistic regression) and assess any changes in conclusions and gains in precision. The Modified Rankin Scale (mRS) is a commonly used outc...

متن کامل

ranking dmus by ideal points in the presence of fuzzy and ordinal data

envelopment analysis (dea) is a very e ective method to evaluate the relative eciency of decision-making units (dmus). dea models divided all dmus in two categories: ecient and inecientdmus, and don't able to discriminant between ecient dmus. on the other hand, the observedvalues of the input and output data in real-life problems are sometimes imprecise or vague, suchas interval data, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The American Biology Teacher

سال: 2020

ISSN: 0002-7685,1938-4211

DOI: 10.1525/abt.2020.82.5.289