Researchers assessed reliability and validity information to determine the utility of the My Child’s Class Inventory–Short Form (MCCI-SF) using 657 parents/caregivers. A four-factor model was generated reflective of the following classroom dimensions: Peer Relations, Competitiveness, Difficulty, and Satisfaction. Using the MCCI-SF in conjunction with its companion instruments, the My Class Inventory–Short Form Revised and the My Class Inventory–Short Form for Teachers can provide school counselors with useful accountability data about their school counseling program.
AdelmanH. S.TaylorL. (2002). Classroom climate. In LeeS. W.LoweP. A.RobinsonE. (Eds.), Encyclopedia of school psychology (pp. 304–312). Thousand Oaks, CA: Sage.
2.
AlbrightM. I.WeissbergR. P. (2010). School-family partnerships to promote social and emotional learning. In ChristensonS. L.ReschlyA. L. (Eds.), Handbook of school-family partnerships (pp. 246–265). New York, NY: Routledge.
3.
AlbrightM. I.WeissbergR. P.DusenburyL. A. (2011). School-family partnership strategies to enhance children’s social, emotional, and academic growth. Newton, MA: National Center for Mental Health Promotion and Youth Violence Prevention, Education Development Center.
4.
AllenD.FraserB. J. (2007). Parent and student perceptions of classroom learning environment and its association with student outcomes. Learning Environments Research, 10, 67–82. doi:10.1007/s10984-007-9018-z
5.
American School Counselor Association. (2012). ASCA National Model: A framework for school counseling programs (3rd ed.). Alexandria, VA: Author.
6.
AstramovichR. L.HoskinsW. J.CokerJ. K. (2013). Organizing and evaluating data-driven school counseling programs (2nd ed.). Dubuque, IA: Kendall Hunt.
7.
BakerJ. A. (2006). Contributions of teacher–child relationships to positive school adjustment during elementary school. Journal of School Psychology, 44, 211–229. doi:10.1016/j.jsp.2006.02.002
8.
BemakF.WilliamsJ. M.ChungR. C. (2014). Four critical domains of accountability for school counselors. Professional School Counseling, 18, 100–110. doi:10.1177/2156759X0001800101
9.
BoccanfusoC.KuhfeldM. (2011). Multiple repsonses, promising responses, promising results: Evidence-based, nonpunitive alternatives to zero tolerance. Child Trends. Publication #2011-09, 1–12.
10.
BocchiB.DozzaL.ChianeseG.CavriniG. (2014). School climate: Comparison between parents’ and teachers’ perception. Procedia - Social and Behavioral Sciences, 116, 4643–4649. doi:10.1016/j.sbspro.2014.01.1000
11.
BrigmanG.MullisF.WebbL.WhiteJ. (2008). School counselor consultation: Skills for working effectively with parents, teachers, and other school personnel (2nd ed.). Hoboken, NJ: John Wiley.
12.
BrophyJ. E. (2017). Fostering student learning and motivation in the elementary school classroom. In ParisS. G.OlsonG. M.StevensonH. W. (Eds.), Learning and motivation in the classroom (pp. 283–306). New York, NY: Routledge.
13.
BrownT. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York, NY: Guilford Press.
14.
ByrneB. M. (2016). Structural equation modeling with Amos (3rd ed.). New York, NY: Routledge.
15.
CareyJ.DimmittC. (2008). A model for evidence-based elementary school counseling: Using school data, research, and evaluation to enhance practice. The Elementary School Journal, 108, 422–430. doi:10.1086/589471
16.
CavriniG.ChianeseG.BocchB.DozzaL. (2015). School climate: Parents’, students’ and teachers’ perceptions. Procedia - Social and Behavioral Sciences, 191, 2044–2048. doi:10.1016/j.sbspro.2015.04.641
ClevelandR.SinkC. A. (2018). Student happiness, school climate, and school improvement plans: Implications for school counseling practice. Professional School Counseling, 21, 1–10. doi:10.1177/2156759X18761898
19.
ColemanJ. S. (2018).Parents, their children, and schools. New York, NY: Routledge.
20.
DahirC. A.StoneC. B. (2003). Accountability: A M.E.A.S.U.R.E of the impact school counselors have on student achievement. Professional School Counseling, 6, 214–221. Retrieved fromhttps://www.jstor.org/stable/42732431
21.
DimitrovD. M. (2012). Statistical methods for validation of assessment scale data in counseling and related fields. Alexandria, VA: American Counseling Association.
22.
DimmittC. (2009). Why evaluation matters: Determining effective school counseling practices. Professional School Counseling, 12, 395–399. doi:10.1177/2156759X0901200605
23.
DimmittC.CareyJ. C.HatchT. (2007). Evidence-based school counseling: Making a difference with data-driven practices. Thousand Oaks, CA: Corwin.
24.
ErfordB. (2015). Research and evaluation in counseling (2nd ed.). Stamford, CT: Cengage Learning.
25.
EvansI. M. (2014). School and classroom climate. In PhilipsD. C. (Ed.), Encyclopedia of educational theory and philosophy (Vol. 1, pp. 736–737). Thousand Oaks, CA: Sage.
26.
FieldA. (2018). Discovering statistics using IBM SPSS statistics. Thousand Oaks, CA: Sage.
27.
FisherD. L.FraserB. J. (1981). Validity and use of my class inventory. Science Education, 65, 145–156.
28.
FraserB. J. (2012). Classroom learning environments: Retrospect, context and prospect. In FraserB. J.TobinK.McRobbieC. J. (Eds.), Second international handbook of science education (pp. 1191–1239). New York, NY: Springer. doi:10.1007/978-1-4020-9041-7_79
29.
FraserB. J.AndersonD. L.WalbergH. J. (1982). Assessment of learning environments: Manual for Learning Environment Inventory (LEI) and My Class Inventory(MCI; 3rd version). Retrieved fromhttps://files.eric.ed.gov/fulltext/ED223649.pdf
30.
FraserB. J.O'BrienP. (1985). Student and teacher perceptions of the environment of elementary school classrooms. The Elementary School Journal, 85, 567–580. doi:10.1086/461422
GottfredsonG. D.GottfredsonD. C.PayneA. A.GottfredsonN. C. (2004). School climate predictors of school disorder: Results from a national study of delinquency prevention in schools. Journal of Research in Crime and Delinquency, 42, 412–444. doi:10.1177/0022427804271931
33.
HallingerP.BickmanL.DavisK. (1996). School context, principal leadership, and student reading achievement. The Elementary School Journal, 96, 527–549. Retrieved fromhttps://www.jstor.org/stable/1001848
34.
KaffenbergerC.YoungA. (2013). Making data work (3rd ed.). Alexandra, VA: American School Counselor Association.
35.
KlineR. (2016). Principles and practices of structural equation modeling (4th ed.). New York, NY: Guilford Press.
36.
KothC. W.BradshawC. P.LeafP. J. (2009). Teacher observation of classroom adaptation—checklist: Development and factor structure. Measurement and Evaluation in Counseling and Development, 42, 15–30. doi:10.1177/0748175609333560
37.
La ParoK. M.PiantaR. C.StuhlmanM. (2004). The classroom assessment scoring system: Findings from the prekindergarten year. Elementary School Journal, 104, 409–426. doi:10.1086/499760
38.
LeeJ.ShuteV. J. (2010). Personal and social-contextual factors in K–12 academic performance: An integrative perspective on student learning. Educational Psychologist, 45, 185–202. doi:10.1080/00461520.2010.493471
39.
LeffS. S.ThomasD. E.ShapiroE. S.PaskewichB.WilsonK.Necowitz-HoffmanB.JawadA. F. (2011). Developing and validating a new classroom climate observation assessment tool. Journal of School Violence, 10, 165–184. doi:10.1080/15388220.2010.539167
40.
MarasM. A.ColemanS. L.GysbersN. C.HermanK. C.StanleyB. (2013). Measuring evaluation competency among school counselors. Counseling Outcome Research Evaluation, 4, 99–111. doi:10.1177/2150137813494765
41.
MarianiM.VillaresE.SinkC. A.ColvinK.Perhay KubaS. (2015). Confirming the structural validity of the my class inventory–short form revised. Professional School Counseling, 19, 92–102. doi:10.5330/1096-2409-19.1.92
42.
MarianiM.WebbL.VillaresE.BrigmanG. (2015). Effect of student success skills on prosocial and bullying behavior. The Professional Counselor, 5, 341–353. doi:10.15241/mm.5.3.341
43.
MarshH. W.HauK. T.WenZ. (2004). 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. Structural Equation Modeling, 11, 320–341. doi:10.1207/s15328007sem1103_2
44.
McIntoshK.GoodmanS. (2016). Integrated multitiered systems of support: Blending RTI and PBIS. New York, NY: Guilford Press.
45.
McMahonH. G.MasonE. C. M.Daluga-GuentherN.RuizA. (2013). An ecological model of professional school counseling. Journal of Counseling & Development, 92, 459–471. doi:10.1002/j.1556-6676.2014.00172.x
MitchellM. M.BradshawC. P.LeafP. J. (2010). Student and teacher perceptions of school climate: A multilevel exploration of patterns of discrepancy. Journal of School Health, 80, 271–279. doi:10.1111/j.1746-1561.2010.00501.x
48.
MvududuN.SinkC. A. (2013). Factor analysis in counseling research. Counseling Outcome Research and Evaluation, 4, 75–98. doi:10.1177/2150137813494766
NunnallyJ. C.BernsteinI. H. (1994). The assessment of reliability. Psychometric Theory, 3, 248–292.
51.
PellegriniA. D.BartiniM. (2000). An empirical comparison of methods of sampling aggression and victimization in school settings. Journal of Educational Psychology, 92, 360–366. doi:10.1037/0022-0663.92.2.360
52.
PonterottoJ. G.RuckdeschelD. E. (2007). An overview of coefficient alpha and a reliability matrix for estimating adequacy of internal consistency coefficients with psychological research measures. Perceptual and Motor Skills, 105, 997–1014.
53.
PoyntonT. A.CareyJ. C. (2006). An integrative model of data-based decision making for school counseling. Professional School Counseling, 10, 121–130. doi:10.5330/1096-2409-20.1.54
54.
RamseyC. M.SpiraA. O.ParisiJ. M.RebokG. W. (2016). School climate: Perceptual differences between students, parents, and school staff. School Effectiveness and School Improvement, 27, 629–641. doi:10.1080/09243453.2016.1199436
55.
ReyesM. R.BrackettM. A.RiversS. E.WhiteM.SaloveyP. (2012). Classroom emotional climate, student engagement, and academic achievement. Journal of Educational Psychology, 104, 700–712. doi:10.1037/a0027268
56.
SchuelerB. E.CapotostoL.BahenaS.McIntyreJ.GehlbachH. (2014). Measuring parent perceptions of school climate. Psychological Assessment, 26, 314–320. doi:10.1037/a0034830
57.
SchumackerR. E.LomaxR. G. (2016). A beginner’s guide to structural equation modeling (4th ed.). New York, NY: Routledge Academic.
58.
SinkC. A. (2008). Elementary school counselors and teachers: Collaborators for higher student achievement. Elementary School Journal, 5, 445–458. doi:10.1086/589473
59.
SinkC. A. (2009). School counselors as accountability leaders: Another call for action. Professional School Counseling, 13, 68–74. doi:10.1177/2156759X0901300202
60.
SinkC. A. (2017). My Classroom Inventory–Short form for Parents(unpublished).Norfolk, VA: Old Dominion University.
61.
SinkC. A. (2019). Tier 1: Creating strong universal systems of support and facilitating systemic change. In Goodman-ScottE.Betters-BubonJ.DonahueP. (Eds.), The school counselor’s guide to multi-tiered systems of support (pp. 62–98). New York, NY: Routledge.
62.
SinkC. A.SpencerL. R. (2005). My class inventory-short form as an accountability tool for elementary school counselors to measure classroom climate. Professional School Counseling, 9, 37–48. doi:10.1177/2156759X0701100208
63.
SinkC. A.SpencerL. R. (2007). Teacher version of the my class inventory-short form: An accountability tool for elementary school counselors. Professional School Counseling, 11, 129–139. doi:10.1177/2156759X0701100208
64.
StreinerD. L. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80, 99–103.
65.
TabachnickB. G.FidellL. S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson.
66.
TavakolM.DennickR. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. doi:10.5116/ijme.4dfb.8dfd
67.
ThapaA.CohenJ.GuffeyS.Higgins-D’AlessandroA. (2013). A review of school climate research. Review of Educational Research, 83, 357–385. doi:10.3102/0034654313483907
68.
ThomasD. E.BiermanK. L.PowersC. J. (2011). The influence of classroom aggression and classroom climate on aggressive–disruptive behavior. Child Development, 82, 751–757. doi:10.1111/j.1467-8624.2011.01586.x
Van Schoiack-EdstromL.FreyK. S.BelandK. (2002). Changing adolescents’ attitudes about relational and physical aggression: An early evaluation of school-based intervention. School Psychology Review, 31, 201–216.
72.
VillaresE.MarianiM.SinkC. A.ColvinK. (2016). Multilevel confirmatory factor analysis of the Teacher My Class Inventory–Short Form. Measurement and Evaluation in Counseling and Development, 49, 263–273. doi:10.1177/0748175616639107
WestonR.GoreP. A.Jr. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34, 719–751. doi:10.1177/0011000006286345
75.
YoungA.KaffenbergerC. (2011). The beliefs and practices of school counselors who use data to implement comprehensive school counseling programs. Professional School Counseling, 15, 67–76. doi:10.1177/2156759X1101500204
76.
ZyromskiB.MarianiM. (2016). Facilitating evidence-based, data-driven school counseling: A manual for practice. Thousand Oaks, CA: Corwin.
