Analysis of Variance, Design, and Regression

Author(s):  
Ronald Christensen
1991 ◽  
Vol 73 (3) ◽  
pp. 757-758 ◽  
Author(s):  
John F. Walsh

Laboratory experiments having a two-way analysis of variance design with repeated-measures on one factor are analyzed by MYSTAT. The key is in coding subjects as a factor and expressing the design as a three-way factorial with one subject per cell.


1970 ◽  
Vol 22 (3) ◽  
pp. 521-525 ◽  
Author(s):  
K. T. Strongman ◽  
M. G. H. Coles ◽  
R. E. Remington ◽  
P. E. Wookey

One hundred and fifty 23-hr. deprived rats were run in a 2 × 5 × 3 balanced analysis of variance design to determine the effect of prior shock on food intake. The main factors were time spent in shock box (3, 30 sec.), intensity of shock (0, 0.5, 1.5, 2.5, 3.5 mA) and percentage of sucrose adulteration of food (0, 10, 25 per cent). Results showed a general enhancement of intake following 3-sec. shock and a suppression following 30-sec. shock. Variations in shock intensity were of no significance.


2010 ◽  
Vol 41 (3) ◽  
pp. 18-22 ◽  
Author(s):  
Virginia L. Grist ◽  
Deborah J. Ebener ◽  
Susan Miller Smedema

The purpose of this study was to determine the impact of humor on attitudes as measured by the Modified lssues of Disability Scale (MIDS) by comparing the effects of a humorous and a serious video designed to reduce negative attitudes toward persons with disabilities. Ninety-three undergraduate students at a southeastern university volunteered to. participate in the study. The participants were randomly assigned to one of three treatment groups. The first group viewed a serious video concerning disability, the second group viewed a humorous video concerning disability, and the third group viewed no video. A one-way model analysis of variance design was applied to the MIDS scores (dependent variable). Results revealed no significant differences between the attitude scores of the three groups. The results of the study highlight the need for further research on the impact of humor on attitudes toward persons with disabilities.


1979 ◽  
Vol 45 (3) ◽  
pp. 803-810 ◽  
Author(s):  
James L. Taylor ◽  
Richard M. Durand

Oliver (1977) recently analyzed the direct effects of consumers' expectations and disconfirmation on posttrial evaluations of products using a hierarchical analysis of variance design. The research reported by Oliver is reevaluated and extended in this paper. A causal model is presented and path analysis used to assess both direct and indirect effects of consumers' expectations and a disconfirming experience on ratings of posttrial affect and intentions to purchase. Results suggest that (1) both expectations and disconfirmation influence postexposure ratings of affect with the experience of disconfirmation exerting the greater effect; (2) disconfirmation only indirectly influences intentions to purchase through its impact on affective evaluations; and, (3) expectations influence intentions to purchase in two different ways—both directly and indirectly through posttrial judgments of affect.


1993 ◽  
Vol 72 (1) ◽  
pp. 248-250 ◽  
Author(s):  
Y. R. J. Bureau ◽  
M. A. Persinger

Core temperature was measured in rats 24 hr. after they had been assigned to one of 8 groups in a 3-way analysis of variance design that involved (1) induction of limbic seizures by a systemic injection of lithium/pilocarpine, (2) physical restraint, and (3) administration of acepromazine. An extraordinarily powerful interaction was noted among seizures, physical restraint, and acepromazine-produced hypothermia (24° C) compared to the other 7 treatments (> 35° C). The putative poikilothermic response is commensurate with the loss of mammalian behaviors that follow these seizures. Implications for survival during the acute stages of brain injury are suggested.


1968 ◽  
Vol 23 (1) ◽  
pp. 151-159 ◽  
Author(s):  
Earl X. Freed

40 Charles River (cd) rats were trained to run down a 15-ft. alley and bar press for food in a 2 × 2 analysis of variance design with alcohol and control treatments and two conflict-producing methodologies. In Exp. 1, conflict was induced by shocking S when it bar pressed; in Exp. II, when S touched the food dish. After approach-avoidance conflict was established, half the Ss in each experiment were injected intraperitoneally with 2.0 cc/100 gm. body weight of 1.0 gm. alcohol/Kg. and half with an equitonic control dextrose solution. When Ss were returned to the alley with shock off, 5 alcohol and 1 control Ss in Exp. I and 4 alcohol and 2 control Ss in Exp. II resolved the conflict to resume running, bar pressing and eating. Analysis of variance revealed that alcohol was significant in determining distance run. Compared with controls, alcohol-treated is ran farther and more frequently touched the dish and the bar. Data support the thesis that alcohol attenuates conflict in rats and suggest that more discrete dependent variables, such as bar pressing, temporally and spatially mote closely associated with the conflictful goal, may be less significantly affected by alcohol than grosser measures of conflict such as running.


1973 ◽  
Vol 32 (2) ◽  
pp. 395-398 ◽  
Author(s):  
Thomas Skovholt ◽  
Earl Moore ◽  
Frank Wellman

Teacher ratings of academic behavior were obtained for pupils in first grade. The sample included 686 boys and 580 girls from a suburban county in a southern state. Data were analyzed in a 2 × 4 factorial analysis of variance design with 2 levels of sex and 4 levels of birth order (only children, firstborns, middle children, and lastborns). Results were that only males, and first females were rated higher than middle males; only males, only females, first females, and last females were rated higher than last males.


1983 ◽  
Vol 20 (3) ◽  
pp. 320-324
Author(s):  
Richard K. Burdick

The analysis of variance is used so frequently in marketing research that researchers are often careless in presenting the results. In particular, hypotheses of interest in the analysis are vaguely stated and the reader is given no clear definition of what is being tested. This situation commonly arises when the analysis is based on a design with unequal cell sizes. Using recent examples found in the marketing literature, the author defines several hypotheses of interest in an analysis of variance design and discusses how they are tested.


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