题名

教育行政學位論文應用計量分析方法改善及相關量化分析發展

并列篇名

Improving on Using Quantitative Analytic Methods in Educational Administration Theses and the Developments of Related Quantitative Analysis

DOI

10.6423/HHHC.201807_(116).0007

作者

葉連祺(Lain-Chyi Yeh)

关键词

量化研究 ； SEM ； AHP ； Delphi ； IPA ； 中介分析 ； 質性研究 ； quantitative research ； structural equation modeling ； analytic hierarchy process ； Delphi method ； important performance analysis ； mediation analysis ； qualitative research

期刊名称

學校行政

卷期/出版年月

116期（2018 / 07 / 16）

页次

147 - 211

内容语文

繁體中文
中文摘要

教育行政領域學位論文頗多採取量化取向，運用多種計量分析方法處理 資料，以產出客觀證據，但是不少討論指出錯誤運用計量分析方法和錯誤解讀計量分析結果會影響量化研究品質。本研究討論一些臺灣地區教育行政學位論文計量分析遭遇問題，兼論相關計量分析方法發展情形，指出可行改善作為。主要聚焦調查工具編製、變項關係研究、評估指標研究、質性研究計量分析等四類分析工作，針對調查工具構念效度考驗、重要－表現分析分類檢驗、變項中介關係考驗和偵測、變項交互作用關係偵測、影響路徑關係模式選用SEM考驗、Delphi評定共識和評定者專業性測定、AHP評估指標合理性和專家評定共識判定、及質性研究計量分析方法選用等八類事項，指出學位論文遭遇的問題、說明有關的計量分析方法應用重點及其新近發展趨勢，並提出可行改善對策，此包括可行分析流程、可運用分析方法及其評估標準。
英文摘要

Many theses in educational administration conducted quantitative approach that used various quantitative analytic methods to handle data to produce objective evidences. But many papers discussed several errors in using quantitative analytic methods as well as in interrupting the results of quantitative studies that led to influence the quality of quantitative researches. So the study discussed some problems concerned in quantitative analysis which happened in the educational administration theses in Taiwan, illustrated the related developments about quantitative analytic methods, and pointed out some available modifications. For theses above purposes, the study focused on discussing four analytic works: the development of investigatory tools, the relationship of various variables, the assessment indicator construction, and the quantitative analysis of qualitative researches. Eight analysis affairs which included testing the construct validity of investigatory tool, testing the classifications in importance-performance analysis, detecting the mediations in various variables, detecting the interactions in various variables, testing the casual relationship models with structural equation modeling, assessing the consistency of assessment and the profession of raters in Delphi method, determining the reasonableness of assessment indicators and the consensus of experts’ assessment in AHP analysis, as well as selecting the appropriate quantitative analytic methods in qualitative researches, were discussed. Moreover the problems of application for quantitative analysis in theses were pointed out, the topics for using in the related quantitative analytic methods were explained, and several available strategies to improve were proposed that included useable analytic procedures, analytic methods as well as assessment criteria.
主题分类 社會科學 > 教育學
参考文献
  1. Chen, C. A.,Lee, H. L.(2015).The study of how to improve the consistency of the AHP and ANP methods.Journal of Data Analysis,10(3),115-140.
    連結：
  2. 李茂能(2008)。SEM適配度指標的潛藏問題：最佳模式難求。測驗統計年刊，16(2)，17-30。
    連結：
  3. 郭哲君,鄭志富(2013)。題項包裹法於結構方程模式分析中的應用：臺灣體育與運動學術研究之分析與探討。體育學報，46(4)，429-441。
    連結：
  4. 陳柏嘉,蔡佩芳,陳凱瀛(2015)。應用動態重視度表現值分析法評估醫療資訊系統之可用性。管理與系統，22(4)，487-508。
    連結：
  5. 傅粹馨(2002)。主成份分析和共同因素分析相關議題之探究。教育與社會研究，3，107-132。
    連結：
  6. 葉連祺(2018)。教育管理變項研究主題與計量分析方法之綜析。學校行政，114，150-182。
    連結：
  7. 譚克平(2008)。極端值判斷方法簡介。台東大學教育學報，19(1)，131-150。
    連結：
  8. Afthanorhan, A.,Awang, Z.,Mamat, M.(2016).A comparative study between GSCA-SEM and PLS-SEM.MJ Journal on Statistics and Probability,1(1),63-72.
  9. Afthanorhan, W. M. A. B. W.(2013).A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis.International Journal of Engineering Science and Innovative Technology,2(5),198-205.
  10. Aguinis, H.,Edwards, J. R.,Bradley, K. J.(2017).Improving our understanding of moderation and mediation in strategic management research.Organizational Research Methods,20(4),665-685.
  11. Akins, R. B.,Tolson, H.,Cole, B. R.(2005).Stability of response characteristics of a Delphi panel: Application of bootstrap data expansion.BMC Medical Research Methodology,5(37),1-12.
  12. Alonso, J. A.,Lamata, M. T.(2006).Consistency in the analytic hierarchy process: A new approach.International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,14(4),445-459.
  13. Anderson, J. C.,Gerbing, D. W.(1988).Structural equation modeling in practice: A review and recommended two-step approach.Psychological Bulletin,103(3),411-423.
  14. Asparouhov, T.,Muthén, B.(2009).Exploratory structural equation modeling.Structural Equation Modeling: A Multidisciplinary Journal,16(3),397-438.
  15. Astrachan, C. B.,Patel, V. K.,Wanzenried, G.(2014).A comparative study of CB-SEM and PLS-SEM for theory development in family firm research.Journal of Family Business Strategy,5(1),116-128.
  16. Azzopardi, E.,Nash, R.(2013).A critical evaluation of importance-performance analysis.Tourism Management,35,222-233.
  17. Bagozzi, R. P.,Edwards, J. R.(1998).A general approach for representing constructs in organizational research.Organizational Research Methods,1(1),45-87.
  18. Bagozzi, R. P.,Yi, Y.(1988).On the evaluation of structural equation models.Journal of the Academy of Marketing Science,16,74-94.
  19. Bagozzi, R. P.,Yi, Y.(2012).Specification, evaluation, and interpretation of structural equation models.Journal of the Academy of Marketing Science,40(1),8-34.
  20. Baron, R. M.,Kenny, D. A.(1986).D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations.Journal of Personality and Social Psychology,51(6),1173-1182.
  21. Bauer, M. W.(Ed.),Gaskell, G.(Ed.)(2000).Qualitative researching with text, image and sound: A practical handbook for social research.Thousand Oaks, CA:SAGE publications.
  22. Bernard, H. R.,Wutich, A.,Ryan, G. W.(2016).Analyzing qualitative data: Systematic approaches.Thousand Oaks, CA:SAGE publications.
  23. Bigss, D.,De Ville, B.,Suen, E.(1991).A method of choosing multiway partitions for classification and decision trees.Journal of Applied Statistics,18(1),49-62.
  24. Boomsma, A.(2000).Reporting analyses of covariance structures.Structural Equation Modeling,7(3),461-483.
  25. Cheung, G. W.,Rensvold, R. B.(2002).Evaluating goodness-of-fit indexes for testing measurement invariance.Structural Equation Modeling,9(2),233-255.
  26. Coltman, T.,Devinney, T. M.,Midgley, D. F.,Venaik, S.(2008).Formative versus reflective measurement models: Two applications of formative measurement.Journal of Business Research,61(12),1250-1262.
  27. Dajani, J. S.,Sincoff, M. Z.,Talley, W. K.(1979).Stability and agreement criteria for the termination of Delphi studies.Technological Forecasting and Social Change,13(1),83-90.
  28. Dalkey, N. C.(1969).The Delphi method: An experimental study of group opinion.Santa Monica, CA:Rand.
  29. Dalkey, N.,Helmer, O.(1963).An experimental application of the Delphi method to the use of experts.Management Science,9(3),458-467.
  30. Deng, W.(2007).Using a revised importance-performance analysis approach: The case of Taiwanese hot springs tourism.Tourism Management,28(5),1274-1284.
  31. Denzin, N. K.(Ed.),Lincoln, Y. S.(Ed.)(2017).The SAGE handbook of qualitative research.Thousand Oaks, CA:SAGE Publications.
  32. Denzin, N. K.(Ed.),Lincoln, Y. S.(Ed.)(2000).The SAGE handbook of qualitative research.Thousand Oaks, CA:SAGE Publications.
  33. Diamantopoulos, A.,Siguaw, J. A.(2000).Introducing LISREL: A guide for the uninitiated.Thousand Oaks, CA:SAGE Publications.
  34. do Valle, P. O.,Assaker, G.(2016).Using partial least squares structural equation modeling in tourism research: A review of past research and recommendations for future applications.Journal of Travel Research,55(6),695-708.
  35. Dodd, F. J.,Donegan, H. A.,McMaster, T. B. M.(1993).A statistical approach to consistency in AHP.Mathematical and Computer Modelling,18(6),19-22.
  36. Edwards, J. R.(2001).Multidimensional constructs in organizational behavior research: An integrative analytical framework.Organizational Research Methods,4(2),144-192.
  37. Eskildsen, J. K.,Kristensen, K.(2006).Enhancing importance-performance analysis.International Journal of Productivity and Performance Management,55(1),40-60.
  38. Flick, U.(Ed.)(2013).The SAGE handbook of qualitative data analysis.London, UK:SAGE Publications.
  39. Gardenier, J.,Resnik, D.(2002).The misuse of statistics: Concepts, tools, and a research agenda.Accountability in Research: Policies and Quality Assurance,9(2),65-74.
  40. Gnatzy, T.,Warth, J.,von der Gracht, H.,Darkow, I. L.(2011).Validating an innovative real-time Delphi approach-A methodological comparison between real-time and conventional Delphi studies.Technological Forecasting and Social Change,78(9),1681-1694.
  41. Gonzalez, O.,MacKinnon, D. P.(2018).A bifactor approach to model multifaceted constructs in statistical mediation analysis.Educational and Psychological Measurement,78(1),5-31.
  42. Grošelj, P.,Stirn, L. Z.,Ayrilmis, N.,Kuzman, M. K.(2015).Comparison of some aggregation techniques using group analytic hierarchy process.Expert Systems with Applications,42,2198-2204.
  43. Gu, H.,Wen, Z.,Fan, X.(2017).Structural validity of the Machiavellian Personality Scale: A bifactor exploratory structural equation modeling approach.Personality and Individual Differences,105,116-123.
  44. Guo, B.,Perron, B. E.,Gillespie, D. F.(2008).A systematic review of structural equation modelling in social work research.British Journal of Social Work,39(8),1556-1574.
  45. Hair, J. F., Jr,Black, W. C.,Babin, B. J.,Anderson, R. E.(2014).Multivariate data analysis.Essex, UK:Pearson Education Limited.
  46. Hair, J. F., Jr,Hult, G. T. M.,Ringle, C.,Sarstedt, M.(2017).A primer on partial least squares structural equation modeling (PLS-SEM).Thousand Oaks, CA:SAGE Publications.
  47. Hancock, G. R.(Ed.),Mueller, R. O.(Ed.)(2013).Structural equation modeling: A second course.Charlotte, NC:Information Age Publishing.
  48. Hasson, F.,Keeney, S.(2011).Enhancing rigour in the Delphi technique research.Technological Forecasting and Social Change,78(9),1695-1704.
  49. Hasson, F.,Keeney, S.,McKenna, H.(2000).Research guidelines for the Delphi survey technique.Journal of Advanced Nursing,32(4),1008-1015.
  50. Hayes, A. F.(2009).Beyond Baron and Kenny: Statistical mediation analysis in the new millennium.Communication Monographs,76(4),408-420.
  51. Hayes, A. F.,Montoya, A. K.,Rockwood, N. J.(2017).The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling.Australasian Marketing Journal,25(1),76-81.
  52. Hayes, A. F.,Preacher, K. J.(2014).Statistical mediation analysis with a multicategorical independent variable.British Journal of Mathematical and Statistical Psychology,67(3),451-470.
  53. Hayes, A. F.,Scharkow, M.(2013).The relative trustworthiness of inferential tests of the indirect effect in statistical mediation analysis: Does method really matter?.Psychological Science,24(10),1918-1927.
  54. He, J.,Wang, X. S.,Curry, D. J.(2017).Mediation analysis: A new test when all or some variables are categorical.International Journal of Research in Marketing,34(4),780-798.
  55. Henseler, J.(2012).Why generalized structured component analysis is not universally preferable to structural equation modeling.Journal of the Academy of Marketing Science,40(3),402-413.
  56. Henseler, J.,Sarstedt, M.(2013).Goodness-of-fit indices for partial least squares path modeling.Computational Statistics,28(2),565-580.
  57. Holey, E. A.,Feeley, J. L.,Dixon, J.,Whittaker, V. J.(2007).An exploration of the use of simple statistics to measure consensus and stability in Delphi studies.BMC Medical Research Methodology,7(52)
  58. Hooper, D.,Coughlan, J.,Mullen, M.(2008).Evaluating model fit: A synthesis of the structural equation modelling literature.7th European Conference on research methodology for business and management studies
  59. Hooper, D., Coughlan, J., & Mullen, M. (2008b). Structural equation modelling: Guidelines for determining model fit. Retrieved from https://arrow.dit.ie/cgi/view-content.cgi?referer=https://scholar.google.com.tw/scholar?hl=zh-TW&as_sdt=0%2C5&q=structural+equation+modelling+model+fit&oq=overall+fit+of+the+model&httpsredir=1&article=1001&context=buschmanart
  60. Iacobucci, D.(2008).Mediation analysis.Thousand Oaks, CA:SAGE Publication.
  61. Iacobucci, D.(2010).Structural equations modeling: Fit indices, sample size, and advanced topics.Journal of Consumer Psychology,20(1),90-98.
  62. Iacobucci, D.(2012).Mediation analysis and categorical variables: The final frontier.Journal of Consumer Psychology,22,582-594.
  63. Iacobucci, D.,Saldanha, N.,Deng, X.(2007).A meditation on mediation: Evidence that structural equations models perform better than regressions.Journal of Consumer Psychology,17(2),139-153.
  64. Jackson, D. L.,Gillaspy, J. A., Jr,Purc-Stephenson, R.(2009).Reporting practices in confirmatory factor analysis: An overview and some recommendations.Psychological Methods,14(1),6-23.
  65. Jakobowicz, E.(2014).A software for generalized structured component analysis.8th International Conference on Partial Least Squares and Related Methods
  66. Jennrich, R. I.,Bentler, P. M.(2011).Exploratory bi-factor analysis.Psychometrika,76(4),537-549.
  67. Jöreskog, K. G.,Sörbom, D.(1993).LISREL 8: Structural equation modeling with the SIMPLIS command language.Lincolnwood, IL:Scientific Software International.
  68. Kannan, S.,Somasundaram, K.(2015).A review of outlier prediction techniques in data mining.Research Journal of Applied Sciences, Engineering and Technology,10(9),1021-1028.
  69. Kim, S.,Hagtvet, K. A.(2003).The impact of misspecified item parceling on representing latent variables in covariance structure modeling: A simulation study.Structural Equation Modeling,10(1),101-127.
  70. Kline, R. B.(2015).The mediation myth.Basic and Applied Social Psychology,37(4),202-213.
  71. Lai, I. K. W.,Hitchcock, M.(2016).A comparison of service quality attributes for stand-alone and resort-based luxury hotels in Macau: 3-Dimensional importance-performance analysis.Tourism Management,55,139-159.
  72. Law, K. S.,Wong, C. S.,Mobley, W. M.(1998).Toward a taxonomy of multidimensional constructs.Academy of Management Review,23(4),741-755.
  73. Lee, T. W.(1999).Using qualitative methods in organizational research.Thousand Oaks, CA:SAGE Publications.
  74. Leech, N. L.,Onwuegbuzie, A. J.(2008).Qualitative data analysis: A compendium of techniques and a framework for selection for school psychology research and beyond.School Psychology Quarterly,23(4),587-604.
  75. Leefang, P. S. H.(Ed.),Wieringa, J. E.(Ed.),Bijmolt, T. H. A.(Ed.),Pauwels, K. H.(Ed.)(2017).Advanced methods for modeling markets.Cham, Switzerland:Springer.
  76. Liamputtong, P.(2009).Qualitative data analysis: Conceptual and practical considerations.Health Promotion Journal of Australia,20(2),133-139.
  77. Lin, S. P.,Chan, Y. H.,Tsai, M. C.(2009).A transformation function corresponding to IPA and gap analysis.Total Quality Management,20(8),829-846.
  78. Lipovetsky, S.,Tishler, A.(1999).Interval estimation of priorities in the AHP.European Journal of Operational Research,114(1),153-164.
  79. Little, T. D.,Cunningham, W. A.,Shahar, G.,Widaman, K. F.(2002).To parcel or not to parcel: Exploring the question, weighing the merits.Structural Equation Modeling,9(2),151-173.
  80. Lockhart, G.,MacKinnon, D. P.,Ohlrich, V.(2011).Mediation analysis in psychoso matic medicine research.Psychosomatic Medicine,73(1),29-43.
  81. Loeys, T.,Moerkerke, B.,De Smet, O.,Buysse, A.,Steen, J.,Vansteelandt, S.(2013).Flexible mediation analysis in the presence of nonlinear relations: beyond the mediation formula.Multivariate Behavioral Research,48(6),871-894.
  82. Loh, W. Y.(2011).Classification and regression trees.Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,1(1),14-23.
  83. Lowry, P. B.,Gaskin, J.(2014).Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it.IEEE Transactions on Professional Communication,57(2),123-146.
  84. Luna‐Reyes, L. F.,Andersen, D. L.(2003).Collecting and analyzing qualitative data for system dynamics: Methods and models.System Dynamics Review,19(4),271-296.
  85. Lutz, S. M.,Thwing, A.,Schmiege, S.,Kroehl, M.,Baker, C. D.,Starling, A. P.,Hokanson, J. E.,Ghosh, D.(2017).Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications.BMC Bioinformatics,18(1),344.
  86. MacKinnon, D. P.,Coxe, S.,Baraldi, A. N.(2012).Guidelines for the investigation of mediating variables in business research.Journal of Business and Psychology,27(1),1-14.
  87. MacKinnon, D. P.,Lockwood, C. M.,Hoffman, J. M.,West, S. G.,Sheets, V.(2002).A comparison of methods to test mediation and other intervening variable effects.Psychological Methods,7(1),83-104.
  88. Madu, C. N.,Kuei, C.-H.(1995).Stability analyses of group decision making.Computers & Industrial Engineering,28(4),881-892.
  89. Malhotra, M. K.,Singhal, C.,Shang, G.,Ployhart, R. E.(2014).A critical evaluation of alternative methods and paradigms for conducting mediation analysis in operations management research.Journal of Operations Management,32(4),127-137.
  90. Markland, D.(2007).The golden rule is that there are no golden rules: A commentary on Paul Barrett's recommendations for reporting model fit in structural equation modelling.Personality and Individual Differences,42(5),851-858.
  91. Marsh, H. W.,Lüdtke, O.,Nagengast, B.,Morin, A. J.,Von Davier, M.(2013).Why item parcels are (almost) never appropriate: Two wrongs do not make a right-Camou-flaging misspecification with item parcels in CFA models.Psychological Methods,18(3),257-284.
  92. Marsh, H. W.,Morin, A. J.,Parker, P. D.,Kaur, G.(2014).Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis.Annual Review of Clinical Psychology,10,85-110.
  93. Martínez-López, F. J.,Gázquez-Abad, J. C.,Sousa, C. M.(2013).Structural equation modelling in marketing and business research: Critical issues and practical recommendations.European Journal of Marketing,47(1/2),115-152.
  94. Maxwell, S. E.,Cole, D. A.,Mitchell, M. A.(2011).Bias in cross-sectional analyses of longitudinal mediation: Partial and complete mediation under an autoregressive model.Multivariate Behavioral Research,46(5),816-841.
  95. Meijering, J. V.,Kampen, J. K.,Tobi, H.(2013).Quantifying the development of agreement among experts in Delphi studies.Technological Forecasting and Social Change,80(8),1607-1614.
  96. Miočević, M.,O’Rourke, H. P.,MacKinnon, D. P.,Brown, H. C.(2018).Statistical properties of four effect-size measures for mediation models.Behavior Research Methods,50(1),285-301.
  97. Myers, J. H.,Mullet, G. M.(2003).Managerial applications of multivariate analysis in marketing.Chicago, IL:American Marketing Association.
  98. Newcomer, K. E.(Ed.),Hatry, H. P.(Ed.),Wholey, J. S.(Ed.)(2015).Handbook of practical program evaluation.Hoboken, NJ:John Wiley & Sons.
  99. Nitzl, C.,Roldan, J. L.,Cepeda, G.(2016).Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models.Industrial Management & Data Systems,116(9),1849-1864.
  100. Oh, H.(2001).Revisiting importance-performance analysis.Tourism Management,22,617-627.
  101. Okoli, C.,Pawlowski, S. D.(2004).The Delphi method as a research tool: An example, design considerations and applications.Information & Management,42(1),15-29.
  102. Olujide, J. O.,Mejabi, O. V.(2007).Methodological issues in importance-performance analysis: Resolving the ambiguity.European Journal of Social Sciences,4(2),7-21.
  103. Pieters, R.(2017).Meaningful mediation analysis: Plausible causal inference and informative communication.Journal of Consumer Research,44(3),692-716.
  104. Preacher, K. J.,Hayes, A. F.(2008).Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.Behavior Research Methods,40(3),879-891.
  105. Preacher, K. J.,Kelley, K.(2011).Effect size measures for mediation models: quantitative strategies for communicating indirect effects.Psychological Methods,16(2),93-115.
  106. Preacher, K. J.,Zyphur, M. J.,Zhang, Z.(2010).A general multilevel SEM framework for assessing multilevel mediation.Psychological Methods,15(3),209-233.
  107. Ra, J. W.(1999).Chainwise paired comparisons.Decision Sciences,30(2),581-599.
  108. Reinartz, W.,Haenlein, M.,Henseler, J.(2009).An empirical comparison of the efficacy of covariance-based and variance-based SEM.International Journal of Research in Marketing,26(4),332-344.
  109. Rindskopf, D.,Rose, T.(1988).Some theory and applications of confirmatory second-order factor analysis.Multivariate Behavioral Research,23(1),51-67.
  110. Saaty, T. L.(2003).Decision-making with AHP: Why is the principal eigenvector necessary.European Journal of Operational Research,145,85-91.
  111. Saaty, T. L.(1990).How to make a decision: The analytic hierarchy process.European Journal of Operational Research,48(1),9-26.
  112. Saisana, M.,Saltelli, A.,Tarantola, S.(2005).Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators.Journal of the Royal Statistical Society: Series A (Statistics in Society),168(2),307-323.
  113. Schreiber, J. B.,Nora, A.,Stage, F. K.,Barlow, E. A.,King, J.(2006).Reporting structural equation modeling and confirmatory factor analysis results: A review.The Journal of Educational Research,99(6),323-338.
  114. Serang, S.,Jacobucci, R.,Brimhall, K. C.,Grimm, K. J.(2017).Exploratory mediation analysis via regularization.Structural Equation Modeling: A Multidisciplinary Journal,24(5),733-744.
  115. Sobel, M. E.(1982).Asymptotic confidence intervals for indirect effects in structural equation models.Sociological Methodology,13,290-312.
  116. Steinert, M.(2009).A dissensus based online Delphi approach: An explorative research tool.Technological Forecasting and Social Change,76(3),291-300.
  117. Stone-Romero, E. F.,Rosopa, P. J.(2004).Inference problems with hierarchical multiple regression-based tests of mediating effects.Research in Personnel and Human Resources Management,23,249-290.
  118. Sun, J.(2005).Assessing goodness of fit in confirmatory factor analysis.Measurement and Evaluation in Counseling and Development,37(4),240-256.
  119. Tontini, G.,Dagostin Picolo, J.(2010).Improvement gap analysis.Managing Service Quality: An International Journal,20(6),565-584.
  120. Tóth-Király, I.,Bõthe, B.,Rigó, A.,Orosz, G.(2017).An illustration of the exploratory structural equation modeling (ESEM) framework on the passion scale.Frontiers in Psychology,8
  121. Trafimow, D.(2015).Introduction to the special issue on mediation analyses: What if planetary scientists used mediation analysis to infer causation?.Basic and Applied Social Psychology,37,197-201.
  122. Trendafilov, N. T.,Unkel, S.,Krzanowski, W.(2013).Exploratory factor and principal component analyses: Some new aspects.Statistics and Computing,23(2),209-220.
  123. Triantaphyllou, E.,Sánchez, A.(1997).A sensitivity analysis approach for some deterministic multi‐criteria decision‐making methods.Decision Sciences,28(1),151-194.
  124. Vandenberg, R. J.,Lance, C. E.(2000).A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research.Organizational Research Methods,3(1),4-70.
  125. Velicer, W. F.,Jackson, D. N.(1990).Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure.Multivariate Behavioral Research,25(1),1-28.
  126. Widaman, K. F.(1993).Common factor analysis versus principal component analysis: Differential bias in representing model parameters?.Multivariate Behavioral Research,28(3),263-311.
  127. Williams, L. J.,O’Boyle, E. H., Jr.(2008).Measurement models for linking latent variables and indicators: A review of human resource management research using parcels.Human Resource Management Review,18(4),233-242.
  128. Wong, C. S.,Law, K. S.,Huang, G. H.(2008).On the importance of conducting construct-level analysis for multidimensional constructs in theory development and testing.Journal of Management,34(4),744-764.
  129. Wong, C. S.,Law, K. S.,Huang, G. H.(2006).Scale development research: A content analysis and recommendations for best practices.The Counseling Psychologist,34(6),806-838.
  130. Wu, H. H.,Shieh, J. I.(2010).Quantifying uncertainty in applying importance-performance analysis.Quality & Quantity,44(5),997-1003.
  131. Zhao, X.,Lynch, J. G., Jr,Chen, Q.(2010).Reconsidering Baron and Kenny: Myths and truths about mediation analysis.Journal of Consumer Research,37(2),197-206.
  132. 卞冉,車宏生,陽輝(2007)。項目組合在結構方程模型中的應用。心理科學進展，15(3)，567-576。
  133. 方傑,張敏強(2013)。參數和非參數 Bootstrap方法的簡單中介效應分析比較。心理科學，36(3)，722-727。
  134. 方傑,溫忠麟,張敏強(2017)。類別變量的中介效應分析。心理科學，40(2)，471-477。
  135. 毛秀珍,夏夢連,辛濤(2017)。全信息項目雙因子分析：模型、參數估計及其應用。心理科學進展，26(2)，358-367。
  136. 王曉麗,李西營,邵景進(2011)。形成性測量模型：結構方程模型的新視角。心理科學進展，19(2)，293-300。
  137. 王濟川,王小倩,姜寶法(2011).結構方程模型：方法與應用.北京:高等教育.
  138. 甘怡群(2014)。中介效應研究的新趨勢─研究設計和資料統計方法。中國心理衛生雜誌，28(8)，584-585。
  139. 江哲光,侯傑泰(1997)。應用結構方程模式之問題和謬誤。教育學報，25(1)，45-61。
  140. 吳豔,溫忠麟(2011)。結構方程建模中的題目打包策略。心理科學進展，19(12)，1859-1867。
  141. 李梅霞(2000)。AHP中判斷矩陣一致性改進的一種新方法。系統工程理論與實踐，20(2)，122-125。
  142. 杜岸政,古純文,丁桂鳳(2014)。心理學研究中的中介效應分析意義及方法評述。中國心理衛生雜誌，28(8)，578-583。
  143. 周伯泰,洪英恆,許天維(2011)。應用層級分析法和重視度表現值分析法探討教師教學之改進。中州管理與人文科學叢刊，1(2)，85-101。
  144. 季新強,劉志民(2006)。Delphi 法及其在醫學研究和決策中的應用。中國藥物依賴性雜誌，15(6)，422-426。
  145. 林海明(2006)。主成分分析與初始因子分析的異同—兼與盧紋岱《SPSS for Windows 統計分析》商榷。統計與決策，8，33-34。
  146. 邱皓政,林碧芳(2009).結構方程模型的原理與應用.北京:中國輕工業.
  147. 張秀紅,馬迎雪,李延暉(2013)。結合主成分分析法改進後的層次分析法及應用。長江大學學報（自學版），10(4)，30-32。
  148. 張岩波(2009)。應用結構方程模型須注意的若干問題。中國衛生統計，26(3)，308-310。
  149. 張濃芳(2010)。國外常用CAQDAS軟體介紹。軟體導刊，8，11-13。
  150. 許軍,張金華,羅仁,趙曉山,馮麗儀,丘金彩(2010)。Delphi法在篩選亞健康評價指標體系中的應用研究。中華行為醫學與腦科學雜誌，19(6)，562-565。
  151. 陳旭(2013)。IPA分析法的修正及其在遊客滿意度研究的應用。旅遊學刊，28(11)，59-66。
  152. 陳順宇,陳譽仁(2015).結構方程模式：中介與干擾效果.臺北:三民.
  153. 陳瑞,鄭毓煌,劉文靜(2013)。中介效應分析：原理、程式、Bootstrap方法及其應用。行銷科學學報，9(4)，120-135。
  154. 陳曉萍（編）,徐淑英（編）,樊景立（編）,鄭伯壎（編）(2014).組織與管理研究的實證方法.臺北:華泰文化.
  155. 麥玉嬌,溫忠麟(2013)。探索性結構方程建模（ESEM）：EFA和CFA的整合。心理科學進展，21(5)，934-939。
  156. 溫忠麟,張雷,侯傑泰,劉紅雲(2004)。中介效應檢驗程序及其應用。心理學報，36(5)，614-620。
  157. 溫忠麟,葉寶娟(2014)。中介效應分析：方法和模型發展。心理科學進展，22(5)，731-745。
  158. 葉牧青(1989)。新竹市，交通大學。
  159. 葉連祺(2016)。應用CPC法分析國小特色學校認證品質評估權重指標。教育行政研究，6(1)，27-67。
  160. 劉紅雲,駱方,張玉,張丹慧(2013)。因變量為等級變量的中介效應分析。心理學報，45(12)，1431-1442。
  161. 鄭中平(2010)。論組合性潛在構念的使用。高雄行為科學學刊，2，45-60。
  162. 鄭明,沈怡,黃治斌(2001)。對使用CR衡量互反矩陣一致性的統計解釋及探討。系統工程理論方法應用，10(1)，75-78。
  163. 鄧振源,曾國雄(1989)。層級分析法（AHP）的內涵特性與應用（上）。中國統計學報，26(6)，5-22。
  164. 賴世培(1996)。CHAID（族群分析）：民意調查的統計分析新技術之探討。空大行政學報，6，103-122。
  165. 蘇為華,吳鑑洪(2010)。Delphi-AHP構權過程中專家意見一致性的統計檢驗問題研究。統計研究，27(7)，84-88。
  166. 顧紅磊,溫忠麟,方傑(2014)。雙因子模型：多維構念測量的新視角。心理科學，37(4)，973-979。
被引用次数
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