Contrast Analysis on Single Factorial Studies and Solution with SPSS
Yıl 2019,
Cilt: 2 Sayı: 1, 1 - 6, 01.01.2019
Demet Çanga
,
Aysel Yenipınar
,
Ömer Faruk Karaokur
Ayşe Betül Önem
,
Ercan Efe
Öz
Contrast
analysis is a method for comparing sets of means using specific coefficients
for weighting the means. In this study, contrast analysis as a planned
comparison method and its use in one-factor trial designs are examined. For this
purpose, a hypothetical data set is used to analyze the data related to the
amount of dry matter determined by three different methods. The steps of the
contrast analysis are explained using the SPSS.18 package program. In
conclusion, contrast analysis results showed that a great part of the
difference between the methods is due to the difference between method 3 and
the others (p <0.01) according to F test detailed with 1 degree of freedom.
Kaynakça
- Abdi H, Edelman B, Valentin D, Dowling WJ. 2009. Experimental design and analysis for psychology. Oxford: Oxford University Press, New York, USA.
- Bek Y, Efe E. 1988. Araştırma ve deneme metodları I. Ç.Ü. Ziraat Fakültesi Ders Kitabı no:71, Ç.Ü Ziraat Fakültesi Ofset ve Teksir Atölyesi, Adana, 395 s.
- Benton R. 1989. Planned comparisons as better alternatives to ANOVA omnibus test. Paper presented at the annual meeting of the Mid-South Educational Research Association, Little Rock, AR. (ERIC Document Reproduction Service No. ED 312 296).
- Canga D, Efe C. 2017. Using contrasts in One-Way analysis of variance with control groups and an application. Journal of Agricultural Science and Technology A: David Publishing: 474-478. USA.doi: 10.17265/2161-6256/2017.07.003.
- Canga D. 2018. Ortalamaların karşılaştırılmasında kontrast kullanımı. Doktora tezi. Kahramanmaraş Sütçü İmam Üniversitesi. Fen Bilimleri Enstitüsü., 121s.
- Darlington R B, Hayes A F. 2016. Regression analysis and linear models: concepts, applications, and implementation. New York: Guilford Publications.
- DuRapau T M. 1988. Benefits of using planned comparisons rather than post hoc tests: a brief review with examples. Paper presented at the annual meeting of the Mid-South Educational Research Association, Louisville, KY. (ERIC Document Reproduction Service No. ED 203 490).
- Efe E, Bek Y, Sahin M. 2000. SPSS’te çözümleri ile istatistik yöntemler II. Kahramanmaraş Sütçü İmam Üniversitesi Rektörlüğü Yayın No: 73, Ders Kitapları, Yayın No:9, KSU. Basımevi, Kahramanmaraş, 223s.
- Field AP. 2016. Contrast and post hoc tests for one-way independent ANOVA using SPSS. https://www.discoveringstatistics.com/repository/contrasts.pdf .(access date: 08.01.2018).
Genç S, Soysal MI. 2018. Parametric and nonparametric post hoc tests. BSJ Eng Sci, 1(1): 18-27.
- Gonzalez R. 2016. Contrasts and post hoc tests. http://www.personal.umich.edu/~gonzo/coursenotes/file3.pdf (Access date:08.01.2018).
- Karpinski A. 2006. Chapter 5 Contrasts for one-way ANOVA. https://marekrychlik.com/sites/default/files/05_contrasts1.pdf (access date:08.1.2018).
- Kuehne CC. 1993. The advantages of using planned comparisons over post hoc tests. Paper presented at the annual meeting of the Mid-South Educational Research Association, New Orleans, LA. (ERIC Document Reproduction Service No. ED 364 597).
- Kwon M. 1996. The Use of planned comparisons in analysis of variance research. Paper Presented at Annual Meeting of the Southwest Educational Research Association (New Orleans, LA).
- Ozdamar K. 1999. Paket programlar ile istatistiksel veri analizi. Kaan Kitabevi, Eskişehir, 257s.
Rosenthal R, Rosnow RL. 1985. Contrast analysis: Focused comparisons in the analysis of variance. Cambridge, England: Cambridge University Press.
- Rosnow Ralph L, Rosenthal R, Donald BR. 2000. Contrasts and correlations in effect-size estimation. Psychol.ogical Science 11(6): 446-453.
- Shavelson RJ. 2016. Statistical reasoning for the behavioral sciences. N Güler. (Ed.), PegemA: Ankara. (Original press date 1988).
- Thompson B. 1988. The importance of planned or focused comparisons in OVA research. Measurement and Evaluation in counseling and Development, 21, 99-101.
- Tucker ML. 1991. A compendium of textbook views on planned versus post hoc tests. In B. Thompson (Ed.), Advances in educational research: substantive findings, methodological developments, 1:107-118. Greenwich, CT: JAI Press.
- Uçkardes F. 2006. İstatistik testler üzerine bir çalışma. Yüksek Lisans Tezi. Kahramanmaraş Sütçü İmam Üniversitesi. Fen Bilimleri Enstitüsü., 249s.
- Zieffler A S, Harring JR, Long JD. 2011. Comparing groups: Randomization and bootstrap methods using R. John Wiley & Sons.
Yıl 2019,
Cilt: 2 Sayı: 1, 1 - 6, 01.01.2019
Demet Çanga
,
Aysel Yenipınar
,
Ömer Faruk Karaokur
Ayşe Betül Önem
,
Ercan Efe
Kaynakça
- Abdi H, Edelman B, Valentin D, Dowling WJ. 2009. Experimental design and analysis for psychology. Oxford: Oxford University Press, New York, USA.
- Bek Y, Efe E. 1988. Araştırma ve deneme metodları I. Ç.Ü. Ziraat Fakültesi Ders Kitabı no:71, Ç.Ü Ziraat Fakültesi Ofset ve Teksir Atölyesi, Adana, 395 s.
- Benton R. 1989. Planned comparisons as better alternatives to ANOVA omnibus test. Paper presented at the annual meeting of the Mid-South Educational Research Association, Little Rock, AR. (ERIC Document Reproduction Service No. ED 312 296).
- Canga D, Efe C. 2017. Using contrasts in One-Way analysis of variance with control groups and an application. Journal of Agricultural Science and Technology A: David Publishing: 474-478. USA.doi: 10.17265/2161-6256/2017.07.003.
- Canga D. 2018. Ortalamaların karşılaştırılmasında kontrast kullanımı. Doktora tezi. Kahramanmaraş Sütçü İmam Üniversitesi. Fen Bilimleri Enstitüsü., 121s.
- Darlington R B, Hayes A F. 2016. Regression analysis and linear models: concepts, applications, and implementation. New York: Guilford Publications.
- DuRapau T M. 1988. Benefits of using planned comparisons rather than post hoc tests: a brief review with examples. Paper presented at the annual meeting of the Mid-South Educational Research Association, Louisville, KY. (ERIC Document Reproduction Service No. ED 203 490).
- Efe E, Bek Y, Sahin M. 2000. SPSS’te çözümleri ile istatistik yöntemler II. Kahramanmaraş Sütçü İmam Üniversitesi Rektörlüğü Yayın No: 73, Ders Kitapları, Yayın No:9, KSU. Basımevi, Kahramanmaraş, 223s.
- Field AP. 2016. Contrast and post hoc tests for one-way independent ANOVA using SPSS. https://www.discoveringstatistics.com/repository/contrasts.pdf .(access date: 08.01.2018).
Genç S, Soysal MI. 2018. Parametric and nonparametric post hoc tests. BSJ Eng Sci, 1(1): 18-27.
- Gonzalez R. 2016. Contrasts and post hoc tests. http://www.personal.umich.edu/~gonzo/coursenotes/file3.pdf (Access date:08.01.2018).
- Karpinski A. 2006. Chapter 5 Contrasts for one-way ANOVA. https://marekrychlik.com/sites/default/files/05_contrasts1.pdf (access date:08.1.2018).
- Kuehne CC. 1993. The advantages of using planned comparisons over post hoc tests. Paper presented at the annual meeting of the Mid-South Educational Research Association, New Orleans, LA. (ERIC Document Reproduction Service No. ED 364 597).
- Kwon M. 1996. The Use of planned comparisons in analysis of variance research. Paper Presented at Annual Meeting of the Southwest Educational Research Association (New Orleans, LA).
- Ozdamar K. 1999. Paket programlar ile istatistiksel veri analizi. Kaan Kitabevi, Eskişehir, 257s.
Rosenthal R, Rosnow RL. 1985. Contrast analysis: Focused comparisons in the analysis of variance. Cambridge, England: Cambridge University Press.
- Rosnow Ralph L, Rosenthal R, Donald BR. 2000. Contrasts and correlations in effect-size estimation. Psychol.ogical Science 11(6): 446-453.
- Shavelson RJ. 2016. Statistical reasoning for the behavioral sciences. N Güler. (Ed.), PegemA: Ankara. (Original press date 1988).
- Thompson B. 1988. The importance of planned or focused comparisons in OVA research. Measurement and Evaluation in counseling and Development, 21, 99-101.
- Tucker ML. 1991. A compendium of textbook views on planned versus post hoc tests. In B. Thompson (Ed.), Advances in educational research: substantive findings, methodological developments, 1:107-118. Greenwich, CT: JAI Press.
- Uçkardes F. 2006. İstatistik testler üzerine bir çalışma. Yüksek Lisans Tezi. Kahramanmaraş Sütçü İmam Üniversitesi. Fen Bilimleri Enstitüsü., 249s.
- Zieffler A S, Harring JR, Long JD. 2011. Comparing groups: Randomization and bootstrap methods using R. John Wiley & Sons.