期刊論文 Publications
期刊論文 Publications
Chen, L.-T., Chen, Y.-K., Yang, T.-R., Chiang, Y.-S., Hsieh, C.-Y., Cheng, C., Ding, Q.-W., Wu, P.-J., & Peng, C.-Y. J. (2023). Examining the normality assumption of a design-comparable effect size in multiple-baseline designs. Behavioral Research Methods. https://doi.org/10.3758/s13428-022-02035-8 R
Peng, C.-Y.J. & Chen, L.-T.(2021). Assessing intervention effects in the presence of missing scores. Education Sciences, 11, 76. https://doi.org/10.3390/educsci11020076 R
O'connell, A. A., Lo, M.-T., Goldstein, J., Rogers, H. J., & Peng, C.-Y. J. (2021). Multilevel logistic and ordinal models. In A. A. O'connell and B. McCoach (Eds.), Multilevel modeling methods with introductory and advanced applications(Chapter7). Charlotte, NC: Information Age Publishing Inc. R
Chen, L.-T、丁麒文、謝承佑、陳奕凱、江宇珊、黃思婧、楊同榮、鄭澈、劉佩艷、彭昭英(2020):〈效果量在臺灣心理與教育期刊的應用:回顧與再思〉。《中華心理學刊》,62(4), 553-592。[Chen, L.-T., Ding, Q.-W., Hsieh, C.-Y., Chen, Y.-K., Chiang, Y.-S., Huang., S.-C., Yang, T.-R., Cheng, C., Liou, P.-Y., & Peng, C.-Y. J. (2020). Effect size reporting practices in Taiwanese psychology and education journals: Review and beyond. Chinese Journal of Psychology, 62(4), 553-592.] doi:10.6129/CJP.202009_62(4).0006 R
Chen, L.-T., Ding, Q.-W., Hsieh, C.-Y., Chen, Y.-K., Chiang, Y.-S., Huang, S.-C., Yang, T.-R., Cheng, C., Liou, P.-Y., & Peng, C.-Y. J. (2020). Supplemental materials to accompany "效果量在臺灣心理與教期刊的應用:回顧與再思 Effect size reporting practices in Taiwanese Psychology and education journals: Review and beyond (中華心理學刊 Chinese Journal of Psychology", https://osf.io/n69xs/ R
Chen, L.-T., Wu, P.-J. & Peng, C.-Y. J. (2019). Accounting for baseline trends in intervention studies: Methods, effect sizes, and software. Cogent Psychology, 6, 1679941. https://doi.org/10.1080/23311908.2019.1679941 R
Chen, L.-T., Wu, P.-J. & Peng, C.-Y. J. (2019). Supplemental materials to accompany “Accounting for baseline trends in intervention studies: Methods, effect sizes, and software”. https://osf.io/h75fd/?view_only=0c40cd0678ed45798501de418cca0f44. R
Chen, L.-T., Feng, Y., Wu, P.-J., & Peng, C.-Y. J. (2019). Dealing with missing data by EM in single-case studies. Behavior Research Methods. doi:https://doi.org/10.3758/s13428-019-01210-8 R
Chen, L.-T., Feng, Y., Wu, P.-J., & Peng, C.-Y. J. (2019). Supplemental materials to accompany “Dealing with missing data by EM in single-case studies (Behavior Research Methods).” doi:10.13140/RG.2.2.33537.51045 R
Peng, C.-Y. J., & Chen, L.-T. (2018).Handling missing data in single-case studies. Journal of Modern Applied Statistical Methods, 17(1), eP2488. doi: 10.22237/jmasm/1525133280. R
Peng, C.-Y. J., & Chen, L.-T. (2018). Can Tau-U Combine Nonoverlap with Trend? Paper presented at the 2018 Annual Meeting of the American Educational Research Association, NY: NY. R
Peng, C.-Y. J. (2017). Logistic Regression. In D. Wyse, N. Selwyn, E. Smith, and L. E. Suter (Eds.), The BERA/SAGE Handbook of Educational Research (pp. 873-894, Chapter 43). London: SAGE Publications. R
Park, J., Lin, H.-C., & Peng, C.-Y. J. (2017). The Supplemental Nutrition Assistance Program and frequency of sugar-sweetened soft drink consumption among low-income adults in the US. Nutrition and Health. doi:10.1177/0260106017726248R
Nyawade, S. A., Middlestade, S. E., & Peng, C.-Y. J. (2016).Beliefs about supporting mothers to exclusively breastfeed for six months: An elicitation study of health professionals working in maternal-child health clinics in Nairobi, Kenya. Journal of Human Lactation. doi:10.1177/0890334416641909R
Weigel, D. R., Dey, D. C., Schweitzer, C. J. & Peng, C.-Y. J. (2016). Stump sprout dominance probabilities of five oak species in southern Indiana 25 years after clearcut harvesting. In Proceedings of the 20th Central Hardwood Forest Conference. R
Peng, C.-Y. J., & Chen, L.-T. (2015). Algorithms for assessing intervention effects in single-case studies. Journal of Modern Applied Statistical Methods, 14(1), 276-307. doi: http://digitalcommons.wayne.edu/jmasm/vol14/iss1/22/ R
Pieper, R. J., & Peng, C.-Y. J. (2015). Binomial sampling charts revisited with graphical and analytic arguments. Institute of Electronics and Telecommunication Engineers (IETE) Journal of Education. http://dx.doi.org/10.1080/09747338.2015.1025864 R
Chen, L.-T., Peng, C.-Y. J., & Chen, M. (2015). Computing tools for implementing standards for single-case designs. Behavior Modification, 39(6), 835-869. doi: 10.1177/0145445515603706. R
Nyawade, S. A., Middlestadt, S. E., Macy, J. T., Lin, H.-C., & Peng, C.-Y. J. (2015). Using the Reasoned Action Approach to Predict Health Professionals’ Intention to Observe the NEXT Mother of a Young Infant Breastfeed in Nairobi, Kenya. Manuscript in preparation for submission to Health Education and Behavior. R
Nyawade, S. A., Middlestadt, S. E., Peng, C.-Y. J., Macy, J. T., & Lin, H.-C. (2015). Health Professionals’ Intention to Observe a Mother Breastfeed: Salient Beliefs that Discriminate between Low and High Intenders. Manuscript in preparation for submission to Journal of Human Lactation. R
Chen, L.-T., & Peng, C.-Y. J. (2014). The sensitivity of three methods to non-normality and unequal variances in interval estimation of effect sizes. Behavior Research Methods, 47(1), 107-126. doi:10.3758/s13428-014-0461-3 R
Wachira, J., Middlestadt, S. E., Reece, M., Peng, C.-Y. J., & Braitstein, P. (2014). Physician communication behaviors from the perspective of adult HIV patients in Kenya. International Journal of Quality in Health Care, 26(2). doi: 10.1093/intqhc/mzu004 R
Peng, C.-Y. J., & Chen, L.-T. (2014). Beyond Cohen’s d: Alternative effect size measures for between-subject designs. The Journal of Experimental Education, 82(1), 22-50. doi:10.1080/00220973.2012.745471R
Peng, C.-Y. J., Chen, L.-T., Chiang, H.-M., & Chiang, Y.-C. (2013). The impact of APA and AERA guidelines on effect size reporting. Educational Psychology Review, 25, 157-209. doi:10.1007/s10648-013-9218-2[Lead article]R
Peng, C.-Y. J., Lee, K. L., & Ingersoll, G. M. (2013). An introduction to logistic regression analysis and reporting. S. Babones (Ed.),Applied Statistical Modeling. Thousand Oaks, CA: SAGE Publications. R
Dong, Y., & Peng, C.-Y. J. (2013). Principled missing data methods for researchers. SpringerPlus 2013, 2:222. doi: 10.1186/2193-1801-2-222 R
Chen, L.-T., & Peng, C.-Y. J. (2013). Constructing confidence intervals for effect sizes in ANOVA designs. Journal of Modern Applied Statistical Methods, 12(2), 82-104. http://digitalcommons.wayne.edu/jmasm/vol12/iss2/5 R
Wachira, J., Middlestadt, S. E., Reece, M., Peng, C.-Y. J., & Braitstein, P. (2013). Psychometric Assessment of a Physician-Patient Communication Behaviors Scale: The Perspective of Adult HIV Patients in Kenya. AIDS Research and Treatment, 2013,Article ID 706191. http://dx.doi.org/10.1155/2013/706191. R
Peng, C.-Y. J., Long, H., & Abaci, S. (2012). Power analysis software for educational researchers. The Journal of Experimental Education, 80(2), 113-136. doi: 10.1080/00220973.2011.647115[Lead article] R
Li, K., Seo, D.-C., Torabi, M. R., Peng, C.-Y. J., Kay, N. S., & Kolbe, L. J. (2012). Social-ecological factors of leisure-time physical activity in Black adults. American Journal of Health Behavior, 36(6), 797-810. doi: http://dx.doi.org/10.5993/AJHB.36.6.7 R
Weigel, D. R., Dey, D. C., & Peng, C.-Y. J. (2011). Stump sprout dominance probabilities of five oak species in southern Indiana 20 years after clearcut harvesting. In Proceedings of the 17th Central Hardwood Forest Conference, 10-22. http://www.treesearch.fs.fed.us/pubs/38032 R
Bai, Y., Middlestadt, J., Peng, C.-Y. J., & Fly, A. D. (2010). Predictors of continuation of exclusive breastfeeding for the first six months of life. Journal of Human Lactation, 26 (1), 26-34.doi:10.1177/0890334409350168 R
Li, K. –G., Seo, D. –C., Torabi, M. R., Peng, C. –Y. J., Kay, N.S., & Kolbe, L. J. (2010). Leisure-time physical activity and obesity in black adults in Indianapolis. American Journal of Health Behavior, 34(4), 442-452. doi: http://dx.doi.org/10.5993/AJHB.34.4.6R
Nehl, E. J., Blanchard, C. M., Peng, C.-Y. J., Fisher, J., Sparling, P., & Baker, F. (2009). Understanding smoking behavior in African-American and Caucasian college students: An application of the theory of planned behavior. Behavioral Medicine, 35 (1), 23-29. doi: 10.3200/BMED.35.1.23-29R
Bai, Y., Middlestadt, J., Peng, C.-Y. J., & Fly, A. D. (2009). Psychosocial factors underlying the decision to continue exclusive breastfeeding for six months: An elicitation study. Journal of Human Nutrition and Dietetics,22(2), 134-140. doi: 10.1111/j.1365-277X.2009.00950.x. R
Bai, Y., Peng, C.-Y. J., & Fly, A. D. (2008). Validation of a short questionnaire to assess mothers’ perception of workplace breastfeeding support. Journal of the American Dietetic Association, 108, 1221-1225. doi:10.1016/j.jada.2008.04.018 R
O’Connell, A. A., Goldstein, J., Rogers, H. J. & Peng, C.-Y. J. (2008). Multilevel logistic models for dichotomous and ordinal data. In A. A. O’Connell and B. McCoach (Eds.), Multilevel analysis of educational data (pp. 199-242). Charlotte, NC: Information Age Publishing Inc. R
Peng, C.-Y. J. & Ziskin, M. B. (2008). Control Group. In Encyclopedia of Survey Research Methods (Vol. 1, pp. 146-147). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J., & Zhu, J. (2007). Comparison of two approaches for handling missing covariates in logistic regression. Educational and Psychological Measurement, 68 (1), 58-77. doi:10.1177/0013164407305582 R
Peng, C.-Y. J., Harwell, M., Liou, S.-M., & Ehman, L. H. (2006). Advances in missing data methods and implications for educational research. In S. Sawilowsky (Ed.), Real data analysis(pp. 31-78). Greenwich, CT: Information Age Publishing, Inc. R
Liou, S.-M. & Peng, C.-Y. J. (2006). The use of hierarchical ANCOVA in curriculum studies. Journal of Modern Applied Statistical Methods, 5(1), 230-247. http://digitalcommons.wayne.edu/jmasm/vol5/iss1/19 R
Weigel, D. R., Dey, D. C., & Peng, C.-Y. J. (2006). Stump sprout dominance probabilities of five oak species in southern Indiana 15 years after clearcut harvesting. In Connor, K.F. (ed.). Proceedings of the 13th biennial southern silvicultural research conference (pp. 551-558). Gen. Tech. Rep. SRS-92. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 640 p. http://www.treesearch.fs.fed.us/pubs/23305R
Peng, C.-Y. J. (2004). Biserial Correlation. In The SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 72-73). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J. (2004). Block Design. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 73-74). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J. (2004). Construct. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 181-182). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J. (2004). Control Group. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 196-197). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J. (2004). Experiment. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 349-354). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J. (2004). Nested Design. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 2, pp. 717-719). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J. (2004). Split-Plot Design. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 3, pp. 1060-1062). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J., & Mueller, D. J. (2004). Construct Validity. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 182-183). Thousand Oaks, CA: Sage Publications. R
Peng, C.-Y. J., & Mueller, D. J. (2004). Criterion-related Validity. InThe SAGE Encyclopedia of Social Science Research Methods (Vol. 1, pp. 213-214). Thousand Oaks, CA: Sage Publications. R
St. John, E. P., Musoba, G. D., Simmons, A., Chung, C. G., Schmidt, J., & Peng, C.-Y. J. (2004). Meeting the access challenge: An examination of Indiana’s Twenty-first Century Scholars Program. Research in Higher Education, 45(8), 829-871.0361-0365 ⁄04 /1200-0829 ⁄ 0 R
Peng, C.-Y. J., & Nichols, R. (2003). Using multinomial logistic model to predict adolescents’ behavioral risk. Journal of Modern Applied Statistical Methods, 2(1), 177-188. http://digitalcommons.wayne.edu/jmasm/vol2/iss1/16 R
Peng, C.-Y. J., So, T.-S. H., Stage, F. K., & St. John, E. P. (2002). The use and interpretation of logistic regression in higher education journals: 1988-1999, Research in Higher Education, 43(3), 259-293.doi:0361-0365/02/0600-0259/0[Lead article] R
Peng, C.-Y. J., Lee, K. L., & Ingersoll, G. M. (2002). An introduction to logistic regression analysis and reporting. The Journal of Educational Research, 96(1), 3-14. doi:10.1080/00220670209598786 [Lead article] R
Peng, C.-Y. J., & So, T.-S. H. (2002). Logistic regression analysis and reporting: A primer. Understanding Statistics, 1(1), 31-70. doi: http://www.catchword.com/erlbaum/1534844x/contp1-1.htm]. R
Correction to “Logistic Regression Analysis and Reporting: A Primer”. Understanding Statistics, 1(2), 137. R
Peng, C.-Y. J., & So, T.-S. H. (2002). Modeling strategies in logistic regression. Journal of Modern Applied Statistical Methods, 1(1), 147-156. http://digitalcommons.wayne.edu/jmasm/vol1/iss1/21 R
Weigel, D. R., & Peng, C.-Y. J., (2002). Predicting stump sprouting and competitive success of five oak species in southern Indiana. Canadian Journal of Forest Research, 32(4), 703-712. doi: 10.1139/X02-042 [CJFR is a leading journal in forestry sciences]. R
Earles, D., Morris, H. H., Peng, C.-Y. J., & Koceja, D. M. (2002). Assessment of motoneuron excitability using recurrent inhibition and paired reflex depression protocols: A test of reliability. Electromyography and Clinical Neurophysiology (also Clinical Neurophysiology), 42, 159-166. doi: 10.3200/BMED.35.1.23-29R
專書專章 Book/Chapters
專書專章 Book/Chapters
Peng, C.-Y. J., & Tong, L.-I. (2021). SAS® 1-2-3 (9th ed., 900 pages, in Complex Chinese, ISBN 978-957-499-986-6). Taipei, Taiwan: 儒林 (Scholars Book Co., LTD). [Profiled at http://www.scholars.com.tw/book/TB-095.htm.] T
Peng, C.-Y. J. (2000). SAS系統應用開發指南 (1st ed., 869 pages, in Simplified Chinese.) [SAS Statistical Analysis Systems]. Beijin, China: 北京希望電子出版社 (Hope Electronic Co). T
Peng, C.-Y. J. (2007). SAS 與統計分析 (SAS and Statistical Analyses, 14th ed., 1074 pages, in Complex Chinese, ISBN 957-499-704-9). Taipei, Taiwan: 儒林 (Scholars Book Co., LTD). [Introduction at http://www.scholars.com.tw/book/SIM-969.htm.] R& T
Peng, C.-Y. J. (2009, published in 2008). Data analysis Using SAS® (628 pages). Thousand Oaks, CA: Sage Publications Inc. [Profiled at http://www.sagepub.com/booksProdDesc.nav?contribId=600878&prodId=Book230954] R & T
Peng, C.-Y. J., & Tong, L.-I. (2010). SAS® 1-2-3 (7th ed., 752 pages, in Complex Chinese, ISBN 978-957-499-901-9). Taipei, Taiwan: 儒林 (Scholars Book Co., LTD). [Profiled at http://www.scholars.com.tw/book/TB-008B.htm.] T
Peng, C.-Y. J., & Tong, L.-I. (2014). SAS® 1-2-3 (8th ed., 850 pages, in Complex Chinese, ISBN 978-957-499-976-7). Taipei, Taiwan: 儒林 (Scholars Book Co., LTD). [Profiled at http://www.scholars.com.tw/book/TB-088.htm.] T
Peng, C.-Y. J., & Tong, L.-I. (2019). SAS® 1-2-3 (8th revised ed., 850 pages, in Complex Chinese, ISBN 978-957-499-976-7). Taipei, Taiwan: 儒林 (Scholars Book Co., LTD). [Profiled at http://www.scholars.com.tw/book/TB-088.htm.]