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Abstract

Despite the research supporting acceleration, some teachers are still hesitant to recommend acceleration for advanced students. The Teacher Attitudes Toward Subject-Specific Acceleration (TATSSA) instrument was designed to uncover the factors that influence teacher decisions to recommend students for subject-specific acceleration. First, we describe the creation of the TATSSA and initial instrument validation process. Then we examine the validity of the established measurement model and explore the construct validity of the TATSSA. Scores on the TATSSA predicted teacher intent to recommend acceleration, were related to teacher past recommendation behavior, and discriminated between groups known to be more or less likely to accelerate. The most important findings were that teacher self-efficacy toward recommending acceleration was universally important in predicting teacher acceleration attitudes and behavior, administrative support of acceleration was critical, and teachers appeared to give more weight to potential negative outcomes of acceleration than positive ones.

Keywords

Instrument development gifted education academic acceleration

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References

Arbuckle

(2006). AMOS 7.0. Chicago, IL: Amos Development Corporation.

Bandura

(1989). Regulation of cognitive processes through perceived self-efficacy. Developmental Psychology, 25, 729-735.

Browne

Cudeck

(1993). Alternative ways of testing model fit. In Bollen

K. A.

Long

(Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: SAGE.

Colangelo

Assouline

S. G.

Gross

M. U. M.

(Eds.). (2004). A nation deceived: How schools hold back America’s brightest students. Iowa City: University of Iowa.

Cortina

J. M.

(1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98-104.

Fabrigar

L. R.

Wegener

D. T.

MacCallum

R. C.

Strahan

E. J.

(1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.

Gross

van Vliet

(2005). Radical acceleration and early entrance to college: A review of the research. Gifted Child Quarterly, 49, 154-171.

Gross

(1997). Changing teacher attitudes toward gifted children: An early and essential step. In Chan

Spinks

(Eds.), Maximizing potential: Lengthening and strengthening our stride. Proceeding of the 11th World Conference on Gifted and Talented Children (pp. 3-22). Hong Kong, China: University of Hong Kong Social Sciences Center.

Gross

M. U. M.

(2002). Gifted children and the gift of friendship. Understanding Our Gifted, 14, 27-29.

10.

Hanninen

G. E.

(1988). A study of teacher training in gifted education. Roeper Review, 10, 139-144.

11.

Hansen

J. B.

Feldhusen

J. F.

(1994). Comparison of trained and untrained teachers of gifted students. Gifted Child Quarterly, 38, 115-123.

12.

Hayton

J. C.

Allen

D. G.

Scarpello

(2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191-205.

13.

Hoogeveen

van Hell

J. G.

Verhoeven

(2009). Self-concept and social status of accelerated and nonaccelerated students in the first 2 years of secondary school in the Netherlands. Gifted Child Quarterly, 53, 50-67.

14.

Howley

(2002). The progress of gifted students in a rural district that emphasized acceleration strategies. Roeper Review, 24, 158-160.

15.

Howley

Rhodes

Beall

(2009). Challenges facing rural schools: Implications for gifted students. Journal for the Education of the Gifted, 32, 515-536.

16.

Bentler

P. M.

(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.

17.

Janos

P. M.

Robinson

N. M.

(1985). The performance of students in a program of radical acceleration at the university level. Gifted Child Quarterly, 29, 175-179.

18.

Kaiser

H. F.

(1991). Coefficient alpha for a principal component and the Kaiser-Guttman rule. Psychological Reports, 68, 855-858.

19.

Kulik

(2004). Meta-analytic studies of acceleration. In Colangelo

Assouline

Gross

(Eds.), A nation deceived: How schools hold back America’s brightest students (pp. 47-58). Iowa City: University of Iowa.

20.

Multon

K. D.

Brown

S. D.

Lent

R. W.

(1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of Counseling Psychology, 38, 30-38. doi:10.1037/0022-0167.38.1.3010.1037/0022-0167.38.1.30

21.

Netemeyer

Bearden

Sharma

(2003). Scaling procedures: Issues and applications. Thousand Oaks, CA: SAGE.

22.

Paglis

L. L.

(2010). Leadership self-efficacy: Research findings and practical applications. Journal of Management Development, 29, 771-782. doi:10.1108/0262171101107248710.1108/02621711011072487

23.

Pett

Lackey

Sullivan

(2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. Thousand Oaks, CA: SAGE.

24.

Piper

Creps

(1991). Practical concerns in assessment and placement in academic acceleration. In Jones

E. D.

(Ed.), The academic acceleration of gifted children (pp. 162-180). New York, NY: Teachers College Press.

25.

Rankin

Vialle

(1996). Early entry: A policy in search of practice. Australian Journal of Early Childhood, 21, 6-11.

26.

Rogers

K. B.

(2004). The academic effects of acceleration. In Colangelo

Assouline

Gross

(Eds.), A nation deceived: How schools hold back America’s brightest students (pp. 47-58). Iowa City: University of Iowa.

27.

Robinson

(2004). The effects of acceleration on the social-emotional status of gifted children. In Colangelo

Assouline

Gross

(Eds.), A nation deceived: How schools hold back America’s brightest students (pp. 59-67). Iowa City: University of Iowa.

28.

Southern

W. T.

Jones

E. D.

(2004). Types of acceleration: Dimensions and issues. In Colangelo

Assouline

Gross

(Eds.), A nation deceived: How schools hold back America’s brightest students (pp. 5-12). Iowa City: University of Iowa.

29.

Southern

W. T.

Jones

E. D.

Stanley

J. C.

(1993). Acceleration and enrichment: The context and development of program options. In Heller

K. A.

Monks

J. F.

Passow

A. H.

(Eds.), International handbook of research and development of giftedness and talent (pp. 387-409). Oxford, UK: Pergamon.

30.

Thompson

(2004). Exploratory and confirmatory factor analysis. Washington, DC: American Psychological Association.

31.

Velicer

W. F.

(1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327.

32.

Velicer

W. F.

Eaton

C. A.

Fava

J. L.

(2000). Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. In Goffin

R. D.

Helmes

(Eds.), Problems and solutions in human assessment: Honoring Douglas Jackson at seventy (pp. 41-71). Boston, MA: Kluwer.

33.

Vialle

Ashton

Carlton

Rankin

(2001). Acceleration: A coat of many colours. Roeper Review, 24, 14-19.

34.

Wells

Lohman

Marron

(2009). What factors are associated with grade acceleration? An analysis and comparison of two U.S. databases. Journal of Advanced Academics, 20, 248-273.

35.

Williams

S. L.

French

D. P.

(2011). What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behavior—And are they the same? Health Education Research, 26, 308-322. doi:10.1093/her/cyr00510.1093/her/cyr005

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