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Kit-Tai Hau

D-Index & Metrics

Psychology

D-Index
55
Citations
25814
World Ranking
4286
National Ranking
39

Kit-Tai Hau publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Kit-Tai Hau sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 158 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Kit-Tai Hau D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Kit-Tai Hau sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 55 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Research.com Recognitions

  • 2014 - Fellow of the American Educational Research Association

Overview

Kit-Tai Hau is affiliated with the Chinese University of Hong Kong in China. Their research spans primarily the social sciences and psychology, with significant focus on education and related subfields.

The main fields of study for Kit-Tai Hau include:

  • Social Sciences
  • Psychology

The subfields they have worked in comprise:

  • Education
  • Experimental and Cognitive Psychology
  • Management Science and Operations Research
  • Social Psychology
  • Statistics and Probability

The topics of their research encompass:

  • Psychometric Methodologies and Testing
  • Education, Achievement, and Giftedness
  • Motivation and Self-Concept in Sports
  • Advanced Causal Inference Techniques
  • Advanced Statistical Modeling Techniques
  • Cognitive Abilities and Testing
  • School Choice and Performance

Kit-Tai Hau has published in several academic venues, with frequent appearances in:

  • Structural Equation Modeling A Multidisciplinary Journal
  • Educational and Psychological Measurement
  • Education and Information Technologies
  • Multivariate Behavioral Research
  • Learning and Instruction

Significant recent papers authored by or in collaboration with Kit-Tai Hau include:

  • Effects of Cross-loadings on Determining the Number of Factors to Retain (2020), Structural Equation Modeling A Multidisciplinary Journal
  • Teacher feedback, disciplinary climate, student self-concept, and reading achievement: A multilevel moderated mediation model (2022), Learning and Instruction
  • Moderation of the Big-Fish-Little-Pond Effect: Juxtaposition of Evolutionary (Darwinian-Economic) and Achievement Motivation Theory Predictions Based on a Delphi Approach (2021), Educational Psychology Review
  • Performance of Coefficient Alpha and Its Alternatives: Effects of Different Types of Non-Normality (2022), Educational and Psychological Measurement
  • Automated and interactive game-based assessment of critical thinking (2021), Education and Information Technologies

The scientist has collaborated frequently with the following researchers:

  • Zhonglin Wen
  • Leifeng Xiao
  • Dan Wang
  • Luyang Guo
  • Lihong Ma

Kit-Tai Hau was recognized as a Fellow of the American Educational Research Association in 2014.

Best Publications

  • In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings

    Herbert W. Marsh;Kit-Tai Hau;Zhonglin Wen

  • Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis.

    Herbert W. Marsh;Kit-Tai Hau;John R. Balla;David Grayson

  • Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction.

    Herbert W. Marsh;Zhonglin Wen;Kit-Tai Hau

  • An evaluation of incremental fit indices: A clarification of mathematical and empirical properties.

    Herbert W. Marsh;John R. Balla;Kit-Tai Hau

  • Big-Fish--Little-Pond effect on academic self-concept: A cross-cultural (26-country) test of the negative effects of academically selective schools.

    Herbert W. Marsh;Kit-Tai Hau

  • Goodness of fit in structural equation models

    Herbert W Marsh;Kit-Tai Hau;David Grayson

  • OECD's brief self-report measure of educational psychology's most useful affective constructs : cross-cultural, psychometric comparisons across 25 countries

    Herbert W. Marsh;Kit-Tai Hau;Cordula Artelt;Jürgen Baumert

  • Assessing Goodness of Fit: Is Parsimony Always Desirable?

    Herbert W. Marsh;Kit-Tai Hau

  • The use of item parcels in structural equation modelling: Non-normal data and small sample sizes

    Kit-Tai Hau;Herbert W. Marsh

  • The Big-fish–little-pond-effect Stands Up to Critical Scrutiny: Implications for Theory, Methodology, and Future Research

    Herbert Warren Marsh;Marjorie Seaton;Ulrich Trautwein;Oliver Ludtke

  • Longitudinal multilevel models of the big-fish-little-pond effect on academic self-concept: counterbalancing contrast and reflected-glory effects in Hong Kong schools.

    Herbert W. Marsh;Chit-Kwong Kong;Kit-Tai Hau

  • Who took the "x" out of expectancy-value theory? A psychological mystery, a substantive-methodological synergy, and a cross-national generalization.

    Benjamin Nagengast;Herbert Marsh;Herbert Marsh;L Scalas;L Scalas;Man Xu;Man Xu

  • Explaining Paradoxical Relations Between Academic Self-Concepts and Achievements: Cross-Cultural Generalizability of the Internal/External Frame of Reference Predictions Across 26 Countries.

    Herbert W. Marsh;Kit-Tai Hau

  • Multilevel Causal Ordering of Academic Self-Concept and Achievement: Influence of Language of Instruction (English Compared With Chinese) for Hong Kong Students

    Herbert W. Marsh;Kit-Tai Hau;Chit-Kwong Kong

  • Late immersion and language of instruction in Hong Kong high schools : Achievement growth in language and nonlanguage subjects

    Herbert W. Marsh;Kit-Tai Hau;Chit-Kwong Kong

  • Applications of latent-variable models in educational psychology: The need for methodological-substantive synergies.

    Herbert W. Marsh;Herbert W. Marsh;Kit-Tai Hau

  • Perceptions of parenting in mainland China, Taiwan, and Hong Kong: Sex differences and societal differences.

    Thomas J. Berndt;Ping Chung Cheung;Sing Lau;Kit-Tai Hau

  • Structural equation models of latent interaction and quadratic effects.

    Herbert W. Marsh;Zhonglin Wen;Kit-Tai Hau;Benjamin Nagengast

  • Quality of life of Chinese urban community residents: a psychometric study of the mainland Chinese version of the WHOQOL-BREF

    Ping Xia;Ningxiu Li;Kit-Tai Hau;Chaojie Liu

  • Structure and Semantic Differential Placement of Specific Causes: Academic Causal Attributions by Chinese Students in Hong Kong

    Kit-Tai Hau;Farideh Salili

  • Extension of the internal/external frame of reference model of self-concept formation: Importance of native and nonnative languages for Chinese students

    Herbert W. Marsh;Chit-Kwong Kong;Kit-Tai Hau

Frequent Co-Authors

Herbert W. Marsh
Herbert W. Marsh Australian Catholic University
Benjamin Nagengast
Benjamin Nagengast University of Tübingen
Andrew J. Martin
Andrew J. Martin University of New South Wales
Reinhard Pekrun
Reinhard Pekrun Australian Catholic University
Thomas J. Berndt
Thomas J. Berndt Purdue University West Lafayette
Linda C. W. Lam
Linda C. W. Lam Chinese University of Hong Kong
Rhonda Craven
Rhonda Craven Australian Catholic University
Alexandre J. S. Morin
Alexandre J. S. Morin Concordia University
Helen F.K. Chiu
Helen F.K. Chiu Chinese University of Hong Kong
Ulrich Trautwein
Ulrich Trautwein University of Tübingen

External Links

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By carefully researching your options, you can choose an online degree that aligns with your career aspirations and helps you make a difference in the field of psychology and counseling.

Best Scientists Citing Kit-Tai Hau

Herbert W. Marsh

Herbert W. Marsh

Australian Catholic University

Publications: 238

Alexandre J. S. Morin

Alexandre J. S. Morin

Concordia University

Publications: 95

Andrew J. Martin

Andrew J. Martin

University of New South Wales

Publications: 73

Ulrich Trautwein

Ulrich Trautwein

University of Tübingen

Publications: 67

Gavin T. L. Brown

Gavin T. L. Brown

University of Auckland

Publications: 55

Oliver Lüdtke

Oliver Lüdtke

Leibniz Institute for Science and Mathematics Education

Publications: 54

Rhonda Craven

Rhonda Craven

Australian Catholic University

Publications: 47

Benjamin Nagengast

Benjamin Nagengast

University of Tübingen

Publications: 47

Jens Möller

Jens Möller

Kiel University

Publications: 47

Philip D. Parker

Philip D. Parker

Australian Catholic University

Publications: 46

Alexander Seeshing Yeung

Alexander Seeshing Yeung

Australian Catholic University

Publications: 46

Reinhard Pekrun

Reinhard Pekrun

Australian Catholic University

Publications: 44

Eldad Davidov

Eldad Davidov

University of Cologne

Publications: 41

Chau-kiu Cheung

Chau-kiu Cheung

City University of Hong Kong

Publications: 37

Arnold B. Bakker

Arnold B. Bakker

Erasmus University Rotterdam

Publications: 33

Dennis M. McInerney

Dennis M. McInerney

Education University of Hong Kong

Publications: 33

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