A Meta-Analysis of the Factor Structure of the Classroom Assessment Scoring System (CLASS)

References

• *Indicates articles included in the meta-analysis. Ainsworth, M. D. (1964). Patterns of attachment behavior shown by the infant in interaction with his mother. Merrill-Palmer Quarterly of Behavior and Development, 10(1), 51–58.
   Google Scholar
• American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.
   Google Scholar
• Bell, C. A., Gitomer, D. H., McCaffrey, D. F., Hamre, B. K., Pianta, R. C., & Qi, Y. (2012). An argument approach to observation protocol validity. Educational Assessment, 17(2–3), 62–87. doi:10.1080/10627197.2012.715014
   Google Scholar
• *Bierman, K. L., Nix, R. L., Heinrichs, B. S., Domitrovich, C. E., Gest, S. D., Welsh, J. A., & Gill, S. (2014). Effects of head start REDI on children’s outcomes 1 year later in different kindergarten contexts. Child Development, 85(1), 140–159. doi:10.1111/cdev.12117
   PubMed Web of Science ®Google Scholar
• Blair, C. (2002). School readiness: Integrating cognition and emotion in a neurobiological conceptualization of children’s functioning at school entry. American Psychologist, 57(2), 111–127. doi:10.1037/0003-066X.57.2.111
   PubMed Web of Science ®Google Scholar
• *Blazar, D., Braslow, D., Charalambous, C. Y., & Hill, H. C. (2015). Attending to general and content-specific dimensions of teaching: Exploring factors across two observation instruments. Working Paper. Cambridge, MA: National Center for Teacher Effectiveness.
   Google Scholar
• Borenstein, M., Hedges, L., Higgins, J. P. T., & Rothstein, H. W. (2009). Introduction to meta-analysis. Chichester, UK: John Wiley and Sons.
   Google Scholar
• Bornstein, M. H., Tamis-LeMonda, C. S., Hahn, C. S., & Haynes, O. M. (2008). Maternal responsiveness to young children at three ages: Longitudinal analysis of a multidimensional, modular, and specific parenting construct. Developmental Psychology, 44(3), 867–874. doi:10.1037/0012-1649.44.3.867
   PubMed Web of Science ®Google Scholar
• Bowlby, J. (1969). Attachment and loss vol. 1: Attachment. New York, NY: Basic Books. doi:10.1093/sw/26.4.355
   Google Scholar
• Bretherton, I. (1985). Attachment theory: Retrospect and prospect. Monographs of the Society for Research in Child Development, 50(1/2), 3–35. doi:10.2307/3333824
   Web of Science ®Google Scholar
• *Broekhuizen, M. L., Mokrova, I. L., Burchinal, M. R., & Garrett-Peters, P. T. & Family Life Project Key Investigators. (2016). Classroom quality at pre-kindergarten and kindergarten and children’s social skills and behavior problems. Early Childhood Research Quarterly, 36, 212–222. doi:10.1016/j.ecresq.2016.01.005
   PubMed Web of Science ®Google Scholar
• Bronfenbrenner, U., & Morris, P. A. (1998). The ecology of developmental processes. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Theoretical models of human development (Vol.1, 5th ed., pp. 993–1029). New York, NY: Wiley.
   Google Scholar
• Brophy, J. E. (1999). Teaching (Educational Practices Series-1). Geneva, Switzerland: International Academy of Education and International Bureau of Education, UNESCO.
   Google Scholar
• Brophy, J. E., & Evertson, C. M. (1976). Learning from teaching: A developmental perspective. Boston, MA: Allyn and Bacon.
   Google Scholar
• Brown, S. P., & Peterson, R. A. (1993). Antecedents and consequences of salesperson job satisfaction: Meta-analysis and assessment of causal effects. Journal of Marketing Research, 30(1), 63–77. doi:10.2307/3172514
   Web of Science ®Google Scholar
• Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Beverly Hills, CA: Sage.
   Google Scholar
• *Cadima, J., Peixoto, C., & Leal, T. (2014). Observed classroom quality in first grade: Associations with teacher, classroom, and school characteristics. European Journal of Psychology of Education, 29(1), 139–158. doi:10.1007/s10212-013-0191-4
   Web of Science ®Google Scholar
• *Cappella, E., Neal, J. W., & Sahu, N. (2012). Children’s agreement on classroom social networks: Cross-level predictors in urban elementary schools. Merrill-Palmer Quarterly, 58(3), 285–313. doi:10.1353/mpq.2012.0017
   Web of Science ®Google Scholar
• Catts, H. W., Fey, M. E., Zhang, X., & Tomblin, J. B. (1999). Language basis of reading and reading disabilities: Evidence from a longitudinal investigation. Scientific Studies of Reading, 3(4), 331–361. doi:10.1207/s1532799xssr0304_2
   Google Scholar
• Chen, F., Bollen, K. A., Paxton, P., Curran, P. J., & Kirby, J. B. (2001). Improper solutions in structural equation models: Causes, consequences, and strategies. Sociological Methods and Research, 29(4), 468–508. doi:10.1177/0049124101029004003
   Web of Science ®Google Scholar
• Chen, F. F., Hayes, A., Carver, C. S., Laurenceau, J. P., & Zhang, Z. (2012). Modeling general and specific variance in multifaceted constructs: A comparison of the bifactor model to other approaches. Journal of Personality, 80(1), 219–251. doi:10.1111/j.1467-6494.2011.00739.x
   PubMed Web of Science ®Google Scholar
• Cheung, M. W.-L. (2014). Fixed- and random-effects meta-analytic structural equation modeling: Examples and analyses in R. Behavior Research Methods, 46(1), 29–40. doi:10.3758/s13428-013-0361-y
   PubMed Web of Science ®Google Scholar
• Cheung, M. W.-L. (2015). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in Psychology, 5, 1521–1528.
   PubMed Web of Science ®Google Scholar
• Cheung, M. W.-L. (2016). Meta-analysis: A structural equation modeling approach. Chichester, UK: John Wiley & Sons.
   Google Scholar
• Cheung, M. W.-L., & Chan, W. (2005). Meta-analytic structural equation modeling: A two-stage approach. Psychological Methods, 10(1), 40–64. doi:10.1037/1082-989X.10.1.40
   PubMed Web of Science ®Google Scholar
• Cheung, M. W.-L., & Hafdahl, A. R. (2017). Special issue on meta-analytic structural equation modeling: Introduction from the guest editors. Research Synthesis Methods, 7, 112–120. doi:10.1002/jrsm.1212
   Web of Science ®Google Scholar
• Cheung, M. W.-L., & Jak, S. (2016). Analyzing big data in psychology: A split/analyze/meta-analyze approach. Frontiers in Psychology, 7, 738–750.
   PubMed Web of Science ®Google Scholar
• *Choi, J. Y., Castle, S., Williamson, A. C., Young, E., Worley, L., Long, M., & Horm, D. M. (2016). Teacher–child interactions and the development of executive function in preschool-age children attending Head Start. Early Education and Development, 27(6), 751–769. doi:10.1080/10409289.2016.1129864
   Web of Science ®Google Scholar
• *Cortina, K. S., Miller, K. F., McKenzie, R., & Epstein, A. (2015). Where low and high inference data converge: Validation of CLASS assessment of mathematics instruction using mobile eye tracking with expert and novice teachers. International Journal of Science and Mathematics Education, 13(2), 389–403. doi:10.1007/s10763-014-9610-5
   Web of Science ®Google Scholar
• Cudeck, R. (1989). Analysis of correlation-matrices using covariance structure models. Psychological Bulletin, 105(2), 317–327. doi:10.1037/0033-2909.105.2.317
   Web of Science ®Google Scholar
• *Curby, T. W., Boyer, C., Edwards, T., & Chavez, C. (2012). Assistant teachers in Head Start classrooms: Comparing to and working with lead teachers. Early Education & Development, 23(5), 640–653. doi:10.1080/10409289.2011.607361
   Web of Science ®Google Scholar
• *Curby, T. W., & Chavez, C. (2013). Examining CLASS dimensions as predictors of pre-K children’s development of language, literacy, and mathematics. NHSA Dialog, 16(2), 1–17.
   Google Scholar
• Darling-Hammond, L. (2000). Teacher quality and student achievement: A review of state policy evidence. Education Policy Analysis Archives, 8(1), 1–44. doi:10.14507/epaa.v8n1.2000
   Web of Science ®Google Scholar
• Darling-Hammond, L. (2012). Creating a comprehensive system for evaluating and supporting effective teaching. Stanford, CA: Stanford Center for Opportunity Policy in Education.
   Google Scholar
• Deci, E. L., & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109–134. doi:10.1016/0092-6566(85)90023-6
   Web of Science ®Google Scholar
• Deci, E. L., & Ryan, R. M. (2011). Self-determination theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (Vol.1, pp. 416–433). Thousand Oaks, CA: Sage.
   Google Scholar
• Deci, E. L., Vallerand, R. J., Pelletier, L. G., & Ryan, R. M. (1991). Motivation and education: The self-determination perspective. Educational Psychologist, 26(3–4), 325–346.
   Web of Science ®Google Scholar
• Downer, J., Sabol, T. J., & Hamre, B. K. (2010). Teacher–child interactions in the classroom: Toward a theory of within- and cross-domain links to children’s developmental outcomes. Early Education and Development, 21(5), 699–723. doi:10.1080/10409289.2010.497453
   Web of Science ®Google Scholar
• Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412. doi:10.1111/bjop.12046
   PubMed Web of Science ®Google Scholar
• Early, D., Barbarin, O., Bryant, D., Burchinal, M., Chang, F., Clifford, R., … Weaver, W. (2005). Pre-kindergarten in eleven states: NCEDL’s multi state study of pre-kindergarten & study of states wide early education programs (SWEEP). Preliminary descriptive report. NCEDL working paper.
   Google Scholar
• Eccles, J. S., & Roeser, R. W. (1999). School and community influences on human development. In M. H. Bornstein & M. E. Lamb (Eds.), Developmental psychology: An advanced textbook (4th ed., pp. 503–554). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Emmer, E. T., & Stough, L. M. (2001). Classroom management: A critical part of educational psychology, with implications for teacher education. Educational Psychologist, 36(2), 103–112. doi:10.1207/S15326985EP3602_5
   Web of Science ®Google Scholar
• Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
   Google Scholar
• Evertson, C., Emmer, E., Sanford, J. P., & Clements, B. (1983). Improving classroom management: An experiment in elementary classrooms. Elementary School Journal, 84(2), 173–188. doi:10.1086/461354
   Web of Science ®Google Scholar
• Finch, A., & Tramèr, M. R. (2008). Primer: Strengths and weaknesses of meta-analysis. Nature Clinical Practice Rheumatology, 4(2), 146–152. doi:10.1038/ncprheum0732
   PubMedGoogle Scholar
• Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3–8. doi:10.3102/0013189X005010003
   Google Scholar
• Good, T. L., & Brophy, J. E. (2008). Looking in classrooms (10th ed.). Boston, MA: Pearson/Allyn & Bacon.
   Google Scholar
• Hafen, C. A., Hamre, B. K., Allen, J. P., Bell, C. A., Gitomer, D. H., & Pianta, R. C. (2015). Teaching through interactions in secondary school classrooms revisiting the factor structure and practical application of the classroom assessment scoring system–secondary. The Journal of Early Adolescence, 35(5–6), 651–680. doi:10.1177/0272431614537117
   PubMed Web of Science ®Google Scholar
• Hamre, B. K., Hatfield, B., Pianta, R. C., & Jamil, F. (2014). Evidence for general and domain specific elements of teacher–child interactions: Associations with preschool children’s development. Child Development, 85(3), 1257–1274. doi:10.1111/cdev.12184
   PubMed Web of Science ®Google Scholar
• Hamre, B. K. L., Paro, K., Pianta, R., & LoCasale-Crouch, J. (2014). The classroom assessment scoring system: Infant manual. Baltimore, MD: Brookes.
   Google Scholar
• Hamre, B. K., & Pianta, R. C. (2005). Can instructional and emotional support in the first-grade classroom make a difference for children at risk of school failure? Child Development, 76(5), 949–967. doi:10.1111/j.1467-8624.2005.00889.x
   PubMed Web of Science ®Google Scholar
• Hamre, B. K., & Pianta, R. C. (2007). Learning opportunities in preschool and early elementary classrooms. In R. Pianta, M. Cox, & K. Snow (Eds.), School readiness and the transition to kindergarten in the era of accountability (pp. 49–84). Baltimore, MD: Brookes.
   Google Scholar
• Hamre, B. K., Pianta, R. C., Downer, J. T., DeCoster, J., Mashburn, A. J., Jones, S. M., … Hamagami, A. (2013). Teaching through interactions: Testing a developmental framework of teacher effectiveness in over 4,000 classrooms. The Elementary School Journal, 113(4), 461–487. doi:10.1086/669616
   PubMed Web of Science ®Google Scholar
• Hedges, L., & Olkin, I. (1985). Statistical models for meta-analysis. New York, NY: Academic Press.
   Google Scholar
• Hedges, L. V., & Vevea, J. L. (1998). Fixed- and random-effects models in meta-analysis. Psychological Methods, 3(4), 486–504. doi:10.1037//1082-989X.3.4.486
   Web of Science ®Google Scholar
• Hill, H. C., Charalambous, C. Y., Blazar, D., McGinn, D., Kraft, M. A., Beisiegel, M., … Lynch, K. (2012). Validating arguments for observational instruments: Attending to multiple sources of variation. Educational Assessment, 17(2–3), 88–106. doi:10.1080/10627197.2012.715019
   Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• *Hu, B. Y., Fan, X., Gu, C., & Yang, N. (2016). Applicability of the classroom assessment scoring system in Chinese preschools based on psychometric evidence. Early Education and Development, 27(5), 714–734. doi:10.1080/10409289.2016.1113069
   Web of Science ®Google Scholar
• Hunter, J., & Schmidt, F. (1990). Methods of meta-analysis: Correcting error and bias in research findings. Beverly Hills CA: Sage.
   Google Scholar
• *Kane, T. J., & Staiger, D. O. (2012). Gathering feedback for teachers: Combining high-quality observations with student surveys and achievement gains. Policy and practice brief prepared for the Bill and Melinda Gates Foundation. Retrieved from http://k12education.gatesfoundation.org/wp-content/uploads/2015/12/MET_Gathering_Feedback_Practioner_Brief.pdf
   Google Scholar
• Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press.
   Google Scholar
• Kolenikov, S., & Bollen, K. A. (2012). Testing negative error variances: Is a Heywood Case a symptom of misspecification? Sociological Methods and Research, 41(1), 124–167. doi:10.1177/0049124112442138
   Web of Science ®Google Scholar
• La Paro, K. M., Hamre, B. K., & Pianta, R. C. (2011). Classroom assessment scoring system: Toddler manual. Charlottesville, VA: Teachstone.
   Google Scholar
• La Paro, K. M., & Pianta, R. C. (2003). The classroom assessment scoring system. Charlottesville, VA: University of Virginia.
   Google Scholar
• *La Paro, K. M., Pianta, R. C., & Stuhlman, M. (2004). The classroom assessment scoring system: Findings from the prekindergarten year. Elementary School Journal, 104(5), 409–426. doi:10.1086/499760
   Web of Science ®Google Scholar
• *Leyva, D., Weiland, C., Barata, M., Yoshikawa, H., Snow, C., Treviño, E., & Rolla, A. (2015). Teacher–child interactions in Chile and their associations with prekindergarten outcomes. Child Development, 86(3), 781–799. doi:10.1111/cdev.12342
   PubMed Web of Science ®Google Scholar
• *Madill, R. A., Gest, S. D., & Rodkin, P. C. (2014). Students’ perceptions of relatedness in the classroom: The roles of emotionally supportive teacher–child interactions, children’s aggressive-disruptive behaviors, and peer social preference. School Psychology Review, 43(1), 86–105.
   Web of Science ®Google Scholar
• 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. doi:10.1016/j.paid.2006.09.023
   Web of Science ®Google Scholar
• Mashburn, A. J., Pianta, R. C., Hamre, B. K., Downer, J. T., Barbarin, O. A., Bryant, D., … Howes, C. (2008). Measures of classroom quality in prekindergarten and children’s development of academic, language, and social skills. Child Development, 79(3), 732–749. doi:10.1111/j.1467-8624.2008.01154.x
   PubMed Web of Science ®Google Scholar
• McDonald, R. (1999). Test theory: A unified treatment. Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Mihaly, K., & McCaffrey, D. F. (2014). Grade level variation in observational measures of teacher effectiveness. In K. Kerr, R. Pianta, & T. Kane (Eds.), Designing teacher evaluation systems: New guidance from the Measures of Effective Teaching Project (pp. 9–49). San Francisco, CA: Jossey-Bass.
   Google Scholar
• Morgan, G. B., Hodge, K. J., Wells, K. E., & Watkins, M. W. (2015). Are fit indices biased in favor of bi-factor models in cognitive ability research? A comparison of fit in correlated factors, higher-order, and bi-factor models via Monte Carlo simulations. Journal of Intelligence, 3(1), 2–20. doi:10.3390/jintelligence3010002
   Google Scholar
• *Morris, C. A., Denham, S. A., Bassett, H. H., & Curby, T. W. (2013). Relations among teachers’ emotion socialization beliefs and practices and preschoolers’ emotional competence. Early Education and Development, 24(7), 979–999. doi:10.1080/10409289.2013.825186
   PubMed Web of Science ®Google Scholar
• National Institute of Child Health and Human Development Early Child Care Research Network. (2002). Classroom observation system–first grade. Charlottesville, VA: University of Virginia.
   Google Scholar
• National Institute of Child Health and Human Development Early Child Care Research Network. (2004). Classroom observation system–fifth grade. Charlottesville, VA: University of Virginia.
   Google Scholar
• National Research Council. (2000). How people learn: Brain, mind, experience, and school: Expanded Edition. Washington, DC: National Academies Press.
   Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.
   Google Scholar
• O’Connor, E., & McCartney, K. (2007). Examining teacher–child relationships and achievement as part of an ecological model of development. American Educational Research Journal, 44(2), 340–369. doi:10.3102/0002831207302172
   Web of Science ®Google Scholar
• *Pakarinen, E., Lerkkanen, M. K., Poikkeus, A. M., Kiuru, N., Siekkinen, M., Rasku-Puttonen, H., & Nurmi, J. E. (2010). A validation of the classroom assessment scoring system in Finnish kindergartens. Early Education and Development, 21(1), 95–124. doi:10.1080/10409280902858764
   Web of Science ®Google Scholar
• Pianta, R. C., & Hamre, B. K. (2009). Conceptualization, measurement, and improvement of classroom processes: Standardized observation can leverage capacity. Educational Researcher, 38(2), 109–119. doi:10.3102/0013189X09332374
   Web of Science ®Google Scholar
• Pianta, R. C., Hamre, B. K., & Mintz, S. (2012). The Classroom Assessment Scoring System: Upper elementary and secondary manual. Charlottesville, VA: Teachstone.
   Google Scholar
• Pianta, R. C., L., Paro, K., & Hamre, B. (2003). Classroom assessment scoring system: K–3 version. Charlottesville, VA: National Center for Early Developmental Learning, University of Virginia.
   Google Scholar
• Pianta, R. C. L., Paro, K. M., & Hamre, B. K. (2008a). The classroom assessment scoring system. Baltimore, MD: Brookes.
   Google Scholar
• Pianta, R. C., L., Paro, K. M., & Hamre, B. K. (2008b). The classroom assessment scoring system: Pre-K manual. Baltimore, MD: Brookes.
   Google Scholar
• Pianta, R. C., L., Paro, K. M., & Hamre, B. K. (2008c). The classroom assessment scoring system: K–3 manual. Baltimore, MD: Brookes.
   Google Scholar
• Pianta, R. C., Mashburn, A. J., Downer, J. T., Hamre, B. K., & Justice, L. (2008). Effects of web-mediated professional development resources on teacher–child interactions in pre-kindergarten classrooms. Early Childhood Research Quarterly, 23(4), 431–451. doi:10.1016/j.ecresq.2008.02.001
   PubMed Web of Science ®Google Scholar
• Ponitz, C. C., Rimm-Kaufman, S. E., Brock, L. L., & Nathanson, L. (2009). Early adjustment, gender differences, and classroom organizational climate in first grade. The Elementary School Journal, 110(2), 142–162. doi:10.1086/605470
   Web of Science ®Google Scholar
• Premack, S. L., & Hunter, J. E. (1988). Individual unionization decisions. Psychological Bulletin, 103(2), 223–234. doi:10.1037//0033-2909.103.2.223
   Web of Science ®Google Scholar
• Pressley, M., Roehrig, A. D., Raphael, L. M., Dolezal, S. E., Bohn, C., Mohan, L., … Hogan, K. (2003). Teaching processes in elementary and secondary education. In W. M. Reynolds & G. E. Miller (Eds.), Handbook of psychology: Educational psychology (Vol.7, pp. 153–175). New York, NY: John Wiley.
   Google Scholar
• *Reddy, L. A., Fabiano, G. A., & Dudek, C. M. (2013). Concurrent validity of the Classroom Strategies Scale for elementary school—Observer form. Journal of Psychoeducational Assessment, 31(3), 258–270. doi:10.1177/0734282912462829
   Web of Science ®Google Scholar
• *Reese, L., Jensen, B., & Ramirez, D. (2014). Emotionally supportive classroom contexts for young Latino children in rural California. The Elementary School Journal, 114(4), 501–526. doi:10.1086/675636
   Web of Science ®Google Scholar
• *Rivers, S. E., Brackett, M. A., Reyes, M. R., Elbertson, N. A., & Salovey, P. (2013). Improving the social and emotional climate of classrooms: A clustered randomized controlled trial testing the RULER approach. Prevention Science, 14(1), 77–87. doi:10.1007/s11121-012-0305-2
   PubMed Web of Science ®Google Scholar
• Rockoff, J. (2004). The impact of individual teachers on student achievement: Evidence from panel data. American Economic Review, 94(2), 247–252. doi:10.1257/0002828041302244
   Web of Science ®Google Scholar
• Ryan, R. M. (2002). An overview of self-determination theory: An organismic dialectical perspective. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (pp. 3–33). Rochester, NY: University of Rochester.
   Google Scholar
• Sanders, W. L., Wright, S. P., & Horn, S. P. (1997). Teacher and classroom context effects on student achievement: Implications for teacher evaluation. Journal of Personnel Evaluation in Education, 11(1), 57–67. doi:10.1023/A:1007999204543
   Google Scholar
• *Sandilos, L. E., Cycyk, L. M., Scheffner Hammer, C., Sawyer, B. E., López, L., & Blair, C. (2015). Depression, control, and climate: An examination of factors impacting teaching quality in preschool classrooms. Early Education and Development, 26(8), 1111–1127. doi:10.1080/10409289.2015.1027624
   PubMed Web of Science ®Google Scholar
• *Sandilos, L. E., DiPerna, J. C., & Family Life Project Key Investigators. (2014). Measuring quality in kindergarten classrooms: Structural analysis of the classroom assessment scoring system (CLASS K–3). Early Education and Development, 25(6), 894–914.
   Web of Science ®Google Scholar
• Sandilos, L. E., Shervey, S. W., DiPerna, J. C., Lei, P., & Cheng, W. (2017). Structural validity of CLASS K–3 in primary grades: Testing alternative models. School Psychology Quarterly, 32(2), 226–239. doi:10.1037/spq0000155
   PubMed Web of Science ®Google Scholar
• Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.
   Google Scholar
• Shafer, A. B. (2006). Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. Journal of Clinical Psychology, 62(1), 123–146.
   PubMed Web of Science ®Google Scholar
• *Shavega, T. J., Brugman, D., & van Tuijl, C. (2014). Children’s behavioral adjustment in pre-primary schools in Tanzania: A multilevel approach. Early Education and Development, 25(3), 356–380. doi:10.1080/10409289.2013.807722
   Web of Science ®Google Scholar
• *Shell, M. D., Gazelle, H., & Faldowski, R. A. (2014). Anxious solitude and the middle school transition: A diathesis × stress model of peer exclusion and victimization trajectories. Developmental Psychology, 50(5), 1569–1583. doi:10.1037/a0035528
   PubMed Web of Science ®Google Scholar
• Skibbe, L., Behnke, M., & Justice, L. M. (2004). Parental scaffolding of children’s phonological awareness skills: Interactions between mothers and their preschoolers with language difficulties. Communication Disorders Quarterly, 25(4), 189–203. doi:10.1177/15257401040250040401
   Google Scholar
• Staiger, D. O., & Rockoff, J. E. (2010). Searching for effective teachers with imperfect information. Journal of Economic Perspectives, 24(3), 97–117. doi:10.1257/jep.24.3.97
   Web of Science ®Google Scholar
• Tang, R. W., & Cheung, M. W.-L. (2016). Testing IB theories with meta-analytic structural equation modeling: The TSSEM approach and the Univariate-r approach. Review of International Business and Strategy, 26(4), 472–492. doi:10.1108/RIBS-04-2016-0022
   Web of Science ®Google Scholar
• Taylor, B. M., Pearson, P. D., Peterson, D. S., & Rodriguez, M. C. (2003). Reading growth in high-poverty classrooms: The influence of teacher practices that encourage cognitive engagement in literacy learning. Elementary School Journal, 104(1), 3–28.
   Web of Science ®Google Scholar
• Thompson, B. (1997). The importance of structure coefficients in structural equation modeling confirmatory factor analysis. Educational and Psychological Measurement, 57(1), 5–19. doi:10.1177/0013164497057001001
   Web of Science ®Google Scholar
• Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC, US: American Psychological Association.
   Google Scholar
• Tout, K., Starr, R., Soli, M., Moodie, S., Kirby, G., & Boller, K. (2010). Compendium of quality rating systems and evaluations. OPRE Report. Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services.
   Google Scholar
• *Towson, J., Bingham, G. E., Li, H., & Terry, N. P. (2016) (2016). Capturing preschool classroom quality for children from low socio-economic backgrounds: Examining the factor structure of the Classroom Assessment Scoring System. Unpublished manuscript.
   Google Scholar
• Udommana, P. (2011). Measuring classroom quality: Lessons learned from applying Western measures in Thai early childhood classrooms (Unpublished doctoral dissertation). University of California, Los Angeles, Los Angeles, CA.
   Google Scholar
• Viswesvaran, C., & Ones, D. S. (1995). Theory testing: Combining psychometric meta-analysis and structural equations modeling. Personnel Psychology, 48(4), 865–885. doi:10.1111/j.1744-6570.1995.tb01784.x
   Web of Science ®Google Scholar
• *von Suchodoletz, A., Fäsche, A., Gunzenhauser, C., & Hamre, B. K. (2014). A typical morning in preschool: Observations of teacher–child interactions in German preschools. Early Childhood Research Quarterly, 29(4), 509–519. doi:10.1016/j.ecresq.2014.05.010
   Web of Science ®Google Scholar
• *Wilcox-Herzog, A., McLaren, M., Ward, S., & Wong, E. (2013). Results from the quality early childhood training program. Journal of Early Childhood Teacher Education, 34(4), 335–349. doi:10.1080/10901027.2013.845635
   Google Scholar