scholarly journals New Nonparametric Rank Tests for Interactions in Factorial Designs with Repeated Measures

2016 ◽  
Vol 15 (1) ◽  
pp. 78-99 ◽  
Author(s):  
Jos Feys
Keyword(s):  
Repeated Measures ◽  
Factorial Designs ◽  
Rank Tests

Comparing Repeated Measures Means in Factorial Designs

1988 ◽  
Vol 25 (5) ◽  
pp. 612-618 ◽  
Author(s):  
H.J. Keselman ◽  
Joanne C. Keselman
Keyword(s):  
Repeated Measures ◽  
Factorial Designs

Treadmill Workstations: A Worksite Physical Activity Intervention in Overweight and Obese Office Workers

2011 ◽  
Vol 8 (8) ◽  
pp. 1034-1043 ◽  
Author(s):  
Dinesh John ◽  
Dixie L. Thompson ◽  
Hollie Raynor ◽  
Kenneth Bielak ◽  
Bob Rider ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Repeated Measures ◽  
Physical Activity Intervention ◽  
Low Density Lipoproteins ◽  
Office Workers ◽  
Hip Circumference ◽  
Rank Tests ◽  
Steps Per Day ◽  
Metabolic Variables

Purpose:To determine if a treadmill-workstation (TMWS) increases physical activity (PA) and influences anthropometric, body composition, cardiovascular, and metabolic variables in overweight and obese office-workers.Methods:Twelve (mean age= 46.2 ± 9.2 years) overweight/obese sedentary office-workers (mean BMI= 33.9 ± 5.0 kg·m-2) volunteered to participate in this 9-month study. After baseline measurements of postural allocation, steps per day, anthropometric variables, body composition, cardiovascular, and metabolic variables, TMWS were installed in the participants’ offices for their use. Baseline measurements were repeated after 3 and 9 months. Comparisons of the outcome variables were made using repeated-measures ANOVAs or nonparametric Friedman’s Rank Tests.Results:Between baseline and 9 months, significant increases were seen in the median standing (146−203 min·day-1) and stepping time (52−90 min·day-1) and total steps/day (4351−7080 steps/day; P < .05). Correspondingly, the median time spent sitting/lying decreased (1238−1150 min·day-1; P < .05). Using the TMWS significantly reduced waist (by 5.5 cm) and hip circumference (by 4.8 cm), low-density lipoproteins (LDL) (by 16 mg·dL-1), and total cholesterol (by 15 mg·dL-1) during the study (P < .05).Conclusion:The additional PA energy expenditure from using the TMWS favorably influenced waist and hip circumferences and lipid and metabolic profiles in overweight and obese office-workers.

Design and Analysis of Experimental Research II

2018 ◽  
Author(s):  
Peter Miksza ◽  
Kenneth Elpus
Keyword(s):  
Multivariate Analysis ◽  
Repeated Measures ◽  
Experimental Designs ◽  
Factorial Designs ◽  
Repeated Measures Anova ◽  
Data Analyses ◽  
Research Designs ◽  
Within Subjects ◽  
Design Type ◽  
Mixed Designs

This chapter introduces the reader to more possibilities for thinking about causal questions and for laying the foundational concepts necessary for conducting data analyses that correspond to more complex experimental designs. The discussion of experimental design types presented in chapter 8 is expanded to include within-subjects designs, factorial designs, mixed designs, and designs for multivariate outcomes. Prototypical examples of each design type are presented along with the typical analysis tools used for testing the associated experimental hypotheses. Hypothetical examples of research designs that are suitable for illustrating analyses with repeated-measures ANOVA, factorial or multiway ANOVA, and MANOVA (multivariate analysis of variance).

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