Thus, our findings appear robust using parametric and
nonparametric analyses and weighted and unweighted analyses.
Specific statistical areas of expertise include factor and cluster analysis, basic bivariate analyses, repeated measures analyses, linear and hierarchical / mixed models, structural equation modeling, and
nonparametric analyses including logistic regression techniques.
In addition to the question of the use and impact of more generic teaching styles, we were able to apply
nonparametric analyses to two additional reading - specific teaching domains — word recognition and comprehension instruction.
By projecting the renewable energy use for the years 2020 and 2030 and the associated resulting carbon dioxide emissions, the paper constructs through
nonparametric analysis efficiency measures evaluating the different energy policy which can be adopted.
Climate change; Renewable energy sources; Greek energy system; linear programming;
nonparametric analysis.
Not exact matches
We compared socio - demographic and pregnancy - related characteristics among the three study groups using chi - square tests for categorical variables,
analysis of variance (ANOVA) for normally distributed continuous variables and the
nonparametric Kruskal - Wallis test for continuous variables that were not normally distributed.
Hopkins, D.J., King, G. (2010) A method of automated
nonparametric content
analysis for social science, American Journal of Political Science, 54 (1), 229 - 247.
All statistical
analyses were performed with SPSS for Windows software (V9.0) using a
nonparametric test (the Kruskall - Wallis test) followed by post hoc
analysis (the Mann - Whitney U-test).
Analysis of baseline data using an ANOVA for parametric data and a Kruskal — Wallis test for
nonparametric data showed that all groups were equivalent on all sleep measures (i.e., time needed to fall asleep, number and length of night - time awakenings, total time asleep, fatigue level next day).
For estimating the function (smoothed mean temperature series) and its derivatives, I prefer piecewise polynomial smoothing:
Nonparametric Regression Methods for Longitudinal Data
Analysis.
Advanced robust and
nonparametric methods in efficiency
analysis.
An Ansari - Bradley test with a
nonparametric method for dispersion yielded p = 0.637, showing no significant difference in dispersion, and we performed a factor
analysis.
Development and validation of a brief version of the Dyadic Adjustment Scale with a
nonparametric item
analysis model.
Overview of
nonparametric and multivariate
analysis.