Statistical design, analysis, and presentation issues

Maindonald, John

doi:10.1080/00288233.1992.10417710

Cited by 23 publications

(23 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More suggestions on data presentation can be found in publications written by Maindonald (1992), Onofri et al (2010) and Welham et al (2015).…”

Section: Presenting Of Research Resultsmentioning

confidence: 99%

“…Strait line equation expresses relationship between two variables. Graph of plotted points can demonstrate the type of regression line (Maindonald, 1992). As a result of correlation analyses nowadays coefficient of determination (R 2 ) is more often used as compared with correlation coefficient (R).…”

Section: Regression and Correlation Analysesmentioning

confidence: 99%

“…After its criticisms, Student-Newman-Keuels test was introduced into experimental statistics. Tukey test should be a good alternative for LSD test (Chew, 1976;Madden et al, 1982;Maindonald, 1992;Onofri et al, 2010). When researcher examines quantitative variables, for example rates of fertilizers, instead of ANOVA, regression analyses should be applied to get relationship between increasing or decreasing rates of fertilizers and crop yield.…”

Section: Anova Applicationmentioning

confidence: 99%

See 2 more Smart Citations

Application of statistics in plant and crop research: important issues

Raudonius

2017

Zemdirbyste-Agriculture

123

View full text Add to dashboard Cite

Proper application of experimental statistics is very important issue in plant and crop research. Results of the surveys of research papers published in agricultural and biological journals show that very often statistics is used or interpreted incorrectly by authors. Researchers usually do not pay enough attention to correct statistics application in all stages of the investigation. The aim of this paper is to stress the main points on widely used statistical methods in plant and crop research. The paper includes topics on research design and statistical analyses, basic assumptions and transformations, ANOVA application, regression and correlation analyses, presentation of research results. Suggestions on proper usage of statistical methods in all stages of crop research are provided. This paper does not cover statistical methods which are beyond traditional ANOVA and regression and more advanced computer packages are needed to perform them.

show abstract

“…More suggestions on data presentation can be found in publications written by Maindonald (1992), Onofri et al (2010) and Welham et al (2015).…”

Section: Presenting Of Research Resultsmentioning

confidence: 99%

Section: Regression and Correlation Analysesmentioning

confidence: 99%

Section: Anova Applicationmentioning

confidence: 99%

See 1 more Smart Citation

Application of statistics in plant and crop research: important issues

Raudonius

2017

Zemdirbyste-Agriculture

123

View full text Add to dashboard Cite

show abstract

“…The effect of time was not significant for any of the variables measured, so the data were reanalysed with treatment group being the only independent variable. Pairwise comparisons between treatment means were made using Fisher's-protected least significant difference (LSD) procedure (Maindonald, 1992). Where appropriate, simple linear regressions were performed using SYSTAT® (Wilkinson, 1990).…”

Section: Statistical Analysis and Presentation Of Resultsmentioning

confidence: 99%

Maintenance of villous height and crypt depth in piglets by providing continuous nutrition after weaning

1996

View full text Add to dashboard Cite

(3) and (4) (P < 0-05 and P = 0-073, respectively). In turn, villous height was significantly correlated (r = 0-78 to 0-87, P < 0-05) with the rate of bodyweight gain after weaning in these two groups. For piglets offered ewes' milk plus glutamine, an increase in DM intake was associated only with increases in crypt depth (P < 0-01). These data show that the structure and function of the small intestine can be preserved when a milk diet is given after weaning, and suggest an association between food intake and villous height in determining post-weaning weight gain. were offered ewes' fresh milk every 2 h in a feeding schedule that increased from 1-2 I per piglet on the 1st day after weaning to 2-4 I on days 4 and 5. On the 5th day all piglets were killed and samples of small intestine were taken for histological and biochemical examination. Feeding ewes' milk or ewes' milk plus 20 g L-glutamine per I maintained (P > 0-05) villous height and crypt depth compared with piglets killed at weaning. In contrast, piglets given a dry starter diet had shorter villi (P < 0-001), deeper crypts (P < 0-001), and proportionately 0-21 to 0-28 less protein (P>0-05) in their intestinal mucosa. Piglets given the starter diet proportionately grew from 0-49 to 0-62 more slowly (P < 0-01), ate the same amount of dry matter (DM; P > 0-05), but consumed proportionately 0-30 less energy (P < 0-001) than their counterparts given the milk diets. No treatment differences in the specific activity of lactase and sucrase were observed (P>0-05). Significant correlations existed between voluntary food intake and villous height at the proximal jejunum for piglets given the starter diet and ewes' milk

show abstract

“…Treatment effects and interactions were analysed by least-squares, two-way analysis of variance using SYSTAT® (Wilkinson, 1990) for the main effects of type of feeder and method of allocation of pigs at weaning. Since no interactions were present between the independent variables, pairwise comparisons were made between main-effect means using Fisher'sprotected least significant difference (LSD) procedure (Maindonald, 1992). Statistical significance was accepted at P < 0-05.…”

Section: Methodsmentioning

confidence: 99%