scholarly journals Analysis of variance for repeated measures designs with word materials as a nested random or fixed factor

2007 ◽  
Vol 39 (4) ◽  
pp. 735-747 ◽  
Author(s):  
Toni Rietveld ◽  
Roeland van Hout
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Repeated Measures Designs

Repeated-Measures Designs: Univariate or Multivariate Analysis of Variance?

1997 ◽  
Vol 85 (1) ◽  
pp. 193-194
Author(s):  
Peter Hassmén
Keyword(s):  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Type I Error ◽  
Univariate Analysis ◽  
Type I ◽  
Multivariate Analysis Of Variance ◽  
Repeated Measures Analysis ◽  
Alpha Level ◽  
Repeated Measures Designs

Violation of the sphericity assumption in repeated-measures analysis of variance can lead to positively biased tests, i.e., the likelihood of a Type I error exceeds the alpha level set by the user. Two widely applicable solutions exist, the use of an epsilon-corrected univariate analysis of variance or the use of a multivariate analysis of variance. It is argued that the latter method offers advantages over the former.

Absolute Judgments as a Function of Stimulus Uncertainty and Temporal Effects: Methodological Note

1972 ◽  
Vol 34 (2) ◽  
pp. 379-382 ◽  
Author(s):  
William Fullard ◽  
Glenn E. Snelbecker ◽  
Stephen Wolk
Keyword(s):  
Information Theory ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Latin Square ◽  
Asymptotic Performance ◽  
Stimulus Uncertainty ◽  
Sequence Effects ◽  
Pure Tones ◽  
Repeated Measures Designs ◽  
Main Effects

8 female Ss made absolute judgments of pure tones ac 4 levels of stimulus uncertainty, with 300 trials/level on each of 2 testing days. Sequence effects were balanced by a 4 × 4 Latin square design. Main effects in an analysis of variance showed significantly more correct responses in expected directions for stimulus uncertainty and higher scores on second testing day. Somewhat surprisingly, nonsignificant uncertainty-by-test-day interactions indicated homogeneous increases across uncertainty levels. Discussion focused on assumptions from information theory about asymptotic performance and on potential methodological value of Latin square repeated-measures designs for calculating T at different uncertainty levels.

Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments

2021 ◽  
pp. 1-18
Author(s):  
SCOTT CLIFFORD ◽  
GEOFFREY SHEAGLEY ◽  
SPENCER PISTON
Keyword(s):  
Treatment Effect ◽  
Repeated Measures ◽  
Treatment Effects ◽  
Repeated Measurements ◽  
Experimental Designs ◽  
Treatment Effect Size ◽  
Standard Design ◽  
Survey Experiments ◽  
Repeated Measures Designs ◽  
Alternative Designs

The use of survey experiments has surged in political science. The most common design is the between-subjects design in which the outcome is only measured posttreatment. This design relies heavily on recruiting a large number of subjects to precisely estimate treatment effects. Alternative designs that involve repeated measurements of the dependent variable promise greater precision, but they are rarely used out of fears that these designs will yield different results than a standard design (e.g., due to consistency pressures). Across six studies, we assess this conventional wisdom by testing experimental designs against each other. Contrary to common fears, repeated measures designs tend to yield the same results as more common designs while substantially increasing precision. These designs also offer new insights into treatment effect size and heterogeneity. We conclude by encouraging researchers to adopt repeated measures designs and providing guidelines for when and how to use them.

scholarly journals ICT evaluation models and performance of medium and small enterprises

2014 ◽  
Vol 20 (1-2) ◽  
pp. 9-24
Author(s):  
Anass Bayaga ◽  
Emmanuel O. Adu
Keyword(s):  
Risk Management ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Operational Risk ◽  
Small Enterprises ◽  
Operational Risk Management ◽  
Evaluation Models ◽  
Ict Adoption ◽  
And Performance ◽  
Medium And Small Enterprises

Abstract Building on prior research related to (1) impact of information communication technology (ICT) and (2) operational risk management (ORM) in the context of medium and small enterprises (MSEs), the focus of this study was to investigate the relationship between (1) ICT operational risk management (ORM) and (2) performances of MSEs. To achieve the focus, the research investigated evaluating models for understanding the value of ICT ORM in MSEs. Multiple regression, Repeated-Measures Analysis of Variance (RM-ANOVA) and Repeated-Measures Multivariate Analysis of Variance (RM-MANOVA) were performed. The findings of the distribution revealed that only one variable made a significant percentage contribution to the level of ICT operation in MSEs, the Payback method (β = 0.410, p < .000). It may thus be inferred that the Payback method is the prominent variable, explaining the variation in level of evaluation models affecting ICT adoption within MSEs. Conclusively, in answering the two questions (1) degree of variability explained and (2) predictors, the results revealed that the variable contributed approximately 88.4% of the variations in evaluation models affecting ICT adoption within MSEs. The analysis of variance also revealed that the regression coefficients were real and did not occur by chance

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