Establishing a Reading Mindset Measure: A Validation Study

Abstract

Much attention has been given to the development and validation of measures of growth mindset and its impact on learning, but the previous work has largely been focused on general measures of growth mindset. This research was focused on establishing the psychometric properties of a reading mindset (RM) measure among a sample of upper elementary school students and validating the measure through its relations with standardized measures of word reading and comprehension. The RM measure was developed to capture student’s beliefs about their ability, learning goals, and effort during reading. Item response theory was used to select items that optimally measured the RM measure from a pool of existing items from previous research. The final five-item RM measure predicted reading comprehension outcomes above and beyond the effects of word reading, indicating that this measure may be an important tool for diagnosing noncognitive areas of improvement for developing readers. The implications, limitations, and future directions for expanding upon the measure were discussed.

Keywords

reading mindset growth mindset reading comprehension word reading upper elementary

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References

Adams

M. J.

(1990). Beginning to read: Thinking and learning about print. The MIT Press.

Al Otaiba

Rivas

Jones

Petscher

Wanzek

(2020). Reading Mindset Measure. PsyArXiv. https://doi.org/10.31234/osf.io/38eda

Baird

G. L.

Scott

W. D.

Dearing

Hamill

S. K.

(2009). Cognitive self-regulation in youth with and without learning disabilities: Academic self-efficacy, theories of intelligence, learning vs. performance goal preferences, and effort attributions. Journal of Social and Clinical Psychology, 28, 881–908. https://doi.org/10.1521/jscp.2009.28.7.881

Baker

Wigfield

(1999). Dimensions of children’s motivation for reading and their relations to reading activity and reading achievement. Reading Research Quarterly, 34, 452–477. https://doi.org/10.1598/RRQ.34.4.4

Blackwell

Trzesniewski

Dweck

C. S.

(2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention. Child Development, 78, 246–263. https://doi.org/10.1111/j.1467-8624.2007.00995

Brasseur-Hock

I. F.

Hock

M. F.

Kieffer

M. J.

Biancarosa

Deshler

D. D.

(2011). Adolescent struggling readers in urban schools: Results of a latent class analysis. Learning and Individual Differences, 21, 438–452. https://doi.org/10.10162011.01.008

Bryk

A. S.

Gomez

L. M.

Grunow

LaMahieu

P. G.

(2015). Learning to improve: How America’s schools get better at getting better. Harvard Press.

Buehl

M. M.

Alexander

P. A.

Murphy

P. K.

(2002). Beliefs about schooled knowledge: Domain specific or domain general? Contemporary Educational Psychology, 27(3), 415–449. https://doi.org/10.1006/ceps.2001.1103

Burnette

O’Boyle

Vanepps

Pollack

Finkel

(2013). Mind-sets matter: A meta-analytic review of implicit theories and self-regulation. Psychological Bulletin, 139, 655–701. https://doi.org/10.1037/a0029531

10.

Cain

Oakhill

J. V.

Barnes

M. A.

Bryant

P. E.

(2001). Comprehension skill, inference-making ability, and their relation to knowledge. Memory & Cognition, 29, 850–859. https://doi.org/10.3758/BF03196414

11.

Cain

Oakhill

J. V.

Bryant

(2004). Children’s reading comprehension ability: Concurrent prediction by working memory, verbal ability, and component skills. Journal of Educational Psychology, 96, 31–42. https://doi.org/10.1037/0022-0663.96.1.31

12.

Chalmers

R. P.

(2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48, 1–29. https://doi.org/10.18637/jss.v048.i06

13.

Cho

Toste

J. R.

Lee

(2019). Motivational predictors of struggling readers’ reading comprehension: The effects of mindset, achievement goals, and engagement. Reading and Writing, 32, 1219–1242. doi.org/10.1007/s11145-018-9908-8

14.

Curran

P. J.

West

S. G.

Finch

J. F.

(1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1, 16–29. doi:10.1037/1082-989X.1.1.16

15.

De Ayala

R. J

. (2013). The theory and practice of item response theory. Guilford Press.

16.

DeVellis

R. F.

(2012). Scale development: Theory and applications (3rd ed.). Sage.

17.

Duckworth

A. L.

Yeager

D. S.

(2015). Measurement matters: Assessing personal qualities other than cognitive ability for educational purposes. Educational Researcher, 44, 237–251. https://doi.org/10.3102/0013189X15584327

18.

Dunn

T. J.

Baguley

Brunsden

(2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105, 399–412. https://doi.org/10.1111/bjop.12046

19.

Dweck

C. S.

(1986). Motivational processes affecting learning. American Psychologist, 41, 1040–1048. https://doi.org/10.1037/0003-066X.41.10.1040

20.

Dweck

C. S.

(1999). Self-theories: Their role in motivation, personality, and development. Psychology Press.

21.

Dweck

C. S.

Chiu

Hong

(1995). Implicit theories and their role in judgments and reactions: A word from two perspectives. Psychological Inquiry, 6, 267–285. https://doi.org/10.1207/s15327965pli0604_1

22.

Dynarski

Clarke

Cobb

Finn

Rumberger

Smink

(2008). Dropout prevention: IES practice guide (NCEE 2008-4025). National Center for Education Evaluation and Regional Assistance, Institute of Education Sciences, U.S. Department of Education. https://ies.ed.gov/ncee/wwc/PracticeGuide/9

23.

Foorman

B. R.

Koon

Petscher

Mitchell

Truckenmiller

(2015). Examining general and specific factors in the dimensionality of oral language and reading in 4th–10th grades. Journal of Educational Psychology, 107, 884–889. https://doi.org/10.1037/edu0000026

24.

Francis

D. J.

Shaywitz

S. E.

Stuebing

K. K.

Shaywitz

B. A.

Fletcher

J. M.

(1996). Developmental lag versus deficit models of reading disability: A longitudinal, individual growth curves study. Journal of Educational Psychology, 88, 3–17. https://doi.org/10.1037/0022-0663.88.1.3

25.

Gough

Tunmer

(1986). Decoding, reading, and reading disability. Remedial and Special Education, 7, 6–10. https://doi.org/10.1177/074193258600700104

26.

Gutschall

C. A.

(2013). Teachers’ mindsets for students with and without disabilities. Psychology in the Schools, 50, 1073–1083. https://doi.org/10.1002/pits.21725

27.

Joshi

R. M.

Tao

Aaron

P. G.

Quiroz

(2012). Cognitive component of componential model of reading applied to different orthographies. Journal of Learning Disabilities, 45, 480–486. https://doi.org/10.1177/0022219411432690

28.

Kim

Y. S. G.

(2017). Why the simple view of reading is not simplistic: Unpacking component skills of reading using a direct and indirect effect model of reading (DIER). Scientific Studies of Reading, 21, 310–333. https://doi.org/10.1080/10888438.2017.1291643

29.

Kline

R. B.

(2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.

30.

Logan

Johnston

(2009). Gender differences in reading ability and attitudes: Examining where these differences lie. Journal of Research in Reading, 32, 199–214. https://doi.org/10.1111/j.1467-9817.2008.01389

31.

Logan

Medford

Hughes

(2011). The importance of intrinsic motivation for high and low ability readers’ reading comprehension performance. Learning and Individual Differences, 21, 124–128. https://doi.org/10.1016/j.lindif.2010.09.011

32.

Lordán

Solé

Beltran

F. S.

(2017). Development and initial validation of a questionnaire to assess the reading beliefs of undergraduate students: The Cuestionario de Creencias sobre la Lectura. Journal of Research in Reading, 40(1), 37–56.

33.

MacGinitie

W. H.

MacGinitie

R. K.

(2006). Gates-MacGinitie Reading Tests (4th ed.). Houghton Mifflin.

34.

McClelland

M. M.

Cameron

C. E.

Connor

C. M.

Farris

C. L.

Jewkes

A. M.

Morrison

F. J.

(2007). Links between behavioral regulation and preschoolers’ literacy, vocabulary, and math skills. Developmental Psychology, 43, 947–959. https://doi.org/10.1037/0012-1649.43.4.947

35.

McGeown

Goodwin

Henderson

Wright

(2012). Gender differences in reading motivation: Does sex or gender identity provide a better account? Journal of Research in Reading, 35, 328–336. https://doi.org/10.1111/j.1467-9817.2010.01481

36.

Moats

L. C.

(1999). Teaching reading is rocket science. American Federation of Teachers.

37.

Myszkowski

Storme

(2019). Judge response theory? A call to upgrade our psychometrical account of creativity judgments. Psychology of Aesthetics, Creativity and the Arts, 13, 167–175. https://doi.org/10.1037/aca0000225

38.

Ouellette

Beers

(2010). A not-so-simple view of reading: How oral vocabulary and visual-word recognition complicate the story. Reading and Writing, 23, 189–208.

39.

Petscher

(2010). A meta-analysis of the relationship between student attitudes towards reading and achievement in reading. Journal of Research in Reading, 33(4), 335–355. https://doi.org/10.1111/j.1467-9817.2009.01418

40.

Petscher

Al Otaiba

Wanzek

Rivas

Jones

(2017). The relation between global and specific mindset with reading outcomes for elementary school students. Scientific Studies of Reading, 21(5), 376–391. https://doi.org/10.1080/10888438.2017.1313846

41.

Quinn

J. M.

Wagner

R. K.

(2018). Using meta-analytic structural equation modeling to study developmental change in relations between language and literacy. Child Development, 89(6), 1956–1969. https://doi.org/10.1111/cdev.13049

42.

Quinn

J. M.

Wagner

R. K.

Petscher

Lopez

(2015). Developmental relations between vocabulary knowledge and reading comprehension: A latent change score modeling study. Child Development, 86(1), 159–175. https://doi.org/10.1111/cdev.12292

43.

Robinson

H. M.

Weintraub

(1973). Research related to children’s interests to developmental values in reading. Library Trends, 22, 81–108.

44.

Rosseel

(2012). lavaan: An R package for structural equation modeling and more. Version 0.5–12 (BETA). Journal of Statistical Software, 48, 1–36.

45.

Salovey

Mayer

J. D.

(1990). Emotional intelligence. Imagination, Cognition and Personality, 9, 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG

46.

Sisk

V. F.

Burgoyne

A. P.

Sun

Butler

J. L.

Macnamara

B. N.

(2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychological Science, 29, 549–571. https://doi.org/10.1177/0956797617739704

47.

Taboada

Tonks

S. M.

Wigfield

Guthrie

J. T.

(2009). Effects of motivational and cognitive variables on reading comprehension. Reading and Writing, 22, 85–106. https://doi.org/10.1007/s11145-008-9133-y

48.

Toste

J. R.

Capin

Vaughn

Roberts

G. J.

Kearns

D. M.

(2017). Multisyllabic word-reading instruction with and without motivational beliefs training for struggling readers in the upper elementary grades. Elementary School Journal, 117, 593–615. https://doi.org/10.1086/691684

49.

Tunmer

W. E.

Chapman

J. W.

(2012). The simple view of reading redux: Vocabulary knowledge and the independent components hypothesis. Journal of Learning Disabilities, 45, 453–466. https://doi.org/10.1177/0022219411432685

50.

Vaughn

Linan-Thompson

Kouzekanani

Bryant

D. P.

Dickson

Blozis

S. A.

(2003). Reading instruction grouping for students with reading difficulties. Remedial and Special Education, 24, 301–315. http://doi.org/10.1177/07419325030240050501

51.

Wagner

R. K.

Torgesen

J. K.

Rashotte

C. A.

Pearson

N. A.

(2010). Test of Silent Reading Efficiency and Comprehension (TOSREC) examiner’s manual. Pro-Ed.

52.

Wanzek

Petscher

Al Otaiba

Donegan

R. E.

(2019). Retention of reading intervention effects from fourth to fifth grade for students with reading difficulties. Reading & Writing Quarterly, 35(3), 277–288. https://doi.org/10.1080/10573569.2018.1560379

53.

Wanzek

Roberts

(2012). Reading interventions with varying instructional emphases for fourth graders with reading difficulties. Learning Disability Quarterly, 35(2), 90–101. https://doi.org/10.1177/0731948711434047

54.

Woodcock

R. W.

McGrew

K. S.

Mather

(2001). Woodcock–Johnson III Tests of Achievement. Riverside.

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