Using the Adolescent Time Inventory—Time Attitudes (ATI-TA) to assess time attitudes in Italian adolescents and young adults: Psychometric properties and validity

Abstract

Time attitudes (TA) are evaluative feelings toward the past, present and future. Given the role of TA in psychological and behavioral outcomes, the aim of this study was to analyze the adequacy of the Adolescent Time Inventory—Time Attitudes (ATI-TA) scale among adolescents and young adults in Italy. The scale was administered to 638 students in order to test its psychometric properties and validity. The analyses confirmed the adequacy of the six-factor model and the reliability of the subscales. Additionally, the measurement invariance of the scale across genders and age groups (between adolescents up to the age of 18, and young adults above 18) was demonstrated. Specifically, gender invariance reached the level of equivalence of error variances/covariances, and the same level was partially reached for invariance across age groups. Evidence of the validity of the scale was also provided by obtaining significant correlations between the subscales, and self-esteem and strategic learning. Taken together, these results support the suitability of the ATI-TA to be used for research and clinical purposes.

Keywords

Adolescents ATI-TA dimensionality measurement invariance time attitude validity

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References

Akaike

(1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723.

Alansari

Worrell

F. C.

Rubie-Davies

Webber

(2013). Adolescent Time Attitude Scale (ATAS) scores and academic outcomes in secondary school females in New Zealand. International Journal of Quantitative Research in Education, 1(3), 251–274.

Andretta

J. R.

Worrell

F. C.

Mello

Z. R.

(2014). Predicting educational outcomes and psychological well-being in adolescents using time attitude profiles. Psychology in the Schools, 51(5), 434–451.

Andretta

J. R.

Worrell

F. C.

Mello

Z. R.

Dixson

D. D.

Baik

S. H.

(2013). Demographic group differences in adolescents’ time attitudes. Journal of Adolescence, 36(2), 289–301.

Arbuckle

Wothke

(1999). AMOS 4 user’s reference guide. Chicago, IL: Smallwaters Corporation.

Bentler

P. M.

(1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.

Boyd

J. N.

Zimbardo

P. G.

(2005). Time perspective, health, and risk taking. In Strathman

Joireman

(Eds.), Understanding behavior in the context of time: Theory, research, and application (pp. 85–107). Mahwah, NJ: Lawrence Erlbaum Associates.

Buhl

Linder

(2009). Time perspectives in adolescence: Measurement, profiles, and links with personality characteristics and scholastic experience. Diskurs Kindheits und Jungendforschung, 2, 197–216.

Byrne

B. M.

(2004). Testing for multigroup invariance using AMOS graphics: A road less traveled. Structural Equation Modeling, 11(2), 272–300.

10.

Çelik

Sahranç

Ü.

Kaya

Turan

M. E.

(2017). Adolescent Time Attitude Scale: Adaptation into Turkish. Universal Journal of Educational Research, 5(2), 249–254.

11.

Cheung

G. W.

Rensvold

R. B.

(2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255.

12.

Chiesi

Primi

Bilgin

A. A.

Lopez

M. V.

del Carmen Fabrizio

Gozlu

Tuan

N. M.

(2015). Measuring university students’ approaches to learning statistics: An invariance study. Journal of Psychoeducational Assessment, 34(3), 256–268.

13.

Chishima

Murakami

Worrell

F. C.

Mello

Z. R.

(2017). The Japanese Version of the Adolescent Time Inventory–Time Attitudes (ATI-TA) Scale: Internal consistency, structural validity, and convergent validity. Assessment, doi:10.1177/1073191116683800

14.

Cohen

(1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York, NY: Academic Press.

15.

Cronbach

L. J.

Shavelson

R. J.

(2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64(3), 391–418.

16.

Dimitrov

D. M.

(2010). Testing for factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development, 43(2), 121–149.

17.

Dörnyei

(2009). Individual differences: Interplay of learner characteristics and learning environment. Language Learning, 59(Supplement 1), 230–248.

18.

Drake

Duncan

Sutherland

Abernethy

Henry

(2008). Time perspective and correlates of wellbeing. Time & Society, 17(1), 47–61.

19.

Erikson

(1968). Identity: Youth and crisis. New York, NY: Norton.

20.

Evers

Hagemeister

Høstmælingen

Lindley

Muñiz

Sjöberg

(2013). EFPA Review Model for the description and evaluation of psychological and educational tests. Test review form and notes for reviewers. Version 4.2.6. [Computer Software] Retrieved from https://www.google.it/search?ei=9Lx-W_GILMbGwQLB2YXYBQ&q=EVERS+EFPA+EUROPEAN+FEDERATION+OF+PSYCHOLOGICAL+ASSESSMENT&oq=EVERS+EFPA+EUROPEAN+FEDERATION+OF+PSYCHOLOGICAL+ASSESSMENT&gs_l=psy-ab.3...4335.5474.0.7128.6.6.0.0.0.0.270.653.0j2j1.3.0....0...1c.1.64.psy-ab..3.0.0....0.lSNp3SVYYoY

21.

Ghasemi

Zahediasl

(2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486–489.

22.

Henson

J. M.

Carey

M. P.

Carey

K. B.

Maisto

S. A.

(2006). Associations among health behaviors and time perspective in young adults: Model testing with boot-strapping replication. Journal of Behavioral Medicine, 29(2), 127–137.

23.

Hodgins

D. C.

Engel

(2002). Future time perspective in pathological gamblers. The Journal of Nervous and Mental Disease, 190(11), 775–780.

24.

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.

25.

Keough

K. A.

Zimbardo

P. G.

Boyd

J. N.

(1999). Who’s smoking, drinking, and using drugs? Time perspective as a predictor of substance use. Basic and Applied Social Psychology, 21(2), 149–164.

26.

Kline

R. B.

(2010). Principles and practice of structural equation modeling. 3rd edition. New York, NY: Guilford Press.

27.

Konowalczyk

McKay

M. T.

Wells

K. E.

Cole

J. C.

(2018). The influence of time attitudes profile membership on mental well-being and psychosomatic symptomatology: A United Kingdom-based prospective study. Psychiatry Research, 261, 375–382. E-publication ahead of print, 6 January 2018. DOI:10.1016/j.psychres.2017.12.071.

28.

Laghi

Baiocco

D’Alessio

Gurrieri

(2009). Suicidal ideation and time perspective in high school students. European Psychiatry, 24(1), 41–46.

29.

Little

T. D.

(1997). Mean and covariance structures (MACS) analyses of cross-cultural data: Practical and theoretical issues. Multivariate Behavioral Research, 32(1), 53–76.

30.

Luszczynska

Gibbons

F. X.

Piko

B. F.

Tekozel

(2004). Self-regulatory cognitions, social comparison, and perceived peers’ behaviors as predictors of nutrition and physical activity: A comparison among adolescents in Hungary, Poland, Turkey, and USA. Psychology & Health, 19(5), 577–593.

31.

McCabe

Barnett

(2000). First comes work, then comes marriage: Future orientation among African American young adolescents. Family Relations, 49(1), 63–70.

32.

McDonald

R. P.

(1999). Test theory: A unified treatment. Mahwah, NJ: Lawrence Erlbaum Associates.

33.

McKay

M. T.

Cole

J. C.

Percy

Worrell

F. C.

Mello

Z. R.

(2015). Reliability and factorial validity of Adolescent Time Inventory–Time Attitude (ATI-TA) scores in Scottish and Northern Irish adolescents. Personality and Individual Differences, 86, 412–416.

34.

Meade

A. W.

Johnson

E. C.

Braddy

P. W.

(2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592.

35.

Mello

Z. R.

Worrell

F. C.

(2006). The relationship of time perspective to age, gender, and academic achievement among academically talented adolescents. Journal for the Education of the Gifted, 29, 271–289. doi:10.1177/016235320602900302

36.

Mello

Z. R.

Worrell

F. C.

(2007). The Adolescent Time Attitude Scale—English. University of California, Berkeley, CA: Author.

37.

Mello

Z. R.

Worrell

F. C.

Laghi

Baiocco

Lonigro

(2011). The Adolescent Time Inventory—Italian. Unpublished scale: The University of Colorado, Colorado Springs and Sapienza University of Rome.

38.

Mello

Z. R.

Zhang

J. W.

Barber

S. J.

Paoloni

V. C.

Howell

R. T.

Worrell

F. C.

(2016). Psychometric properties of time attitude scores in young, middle, and older adult samples. Personality and Individual Differences, 101(1), 57–61.

39.

Mello

Z. R.

Walker

E. B.

Finan

L. J.

Stiasny

Wiggers

I. C.

McBroom

K. A.

Worrell

F. C.

(2018). Time perspective, psychological outcomes, and risky behavior among runaway adolescents. Applied Developmental Science, 22(3), 233–243. 1–11.

40.

Morgan

G. B.

Wells

K. E.

Andretta

J. R.

McKay

M. T.

(2017). Temporal attitudes profile transition among adolescents: A longitudinal examination using mover–stayer latent transition analysis. Psychological Assessment, 29(7), 890–901.

41.

Morsanyi

Fogarasi

(2014). Thinking about the past, present and future in adolescents growing up in Children’s Homes. Journal of Adolescence, 37(7), 1043–1056.

42.

Piaget

(1955). The development of time concepts in the child. In Hoch

P. H.

Zubin

(Eds.), Psychopathology of childhood (pp. 34–44). London, UK: Grube and Stratton.

43.

Prezza

Trombaccia

F.R.

Armento

(1997). La scala dell’autostima di Rosenberg: traduzione e validazione italiana [The scale of Rosenberg’s self-esteem: Italian translation and validation]. Bollettino di Psicologia Applicata, 223(1), 35–44. [In Italian.]

44.

Prow

R. M.

Worrell

F. C.

Andretta

J. R.

Mello

Z. R.

(2016). Demographic differences in adolescent time attitude profiles in an urban high school: A person-oriented analysis using model-based clustering. Berkeley Review of Education, 6, 79–95. Retrieved from https://escholarship.org/uc/item/4bb6r8n6

45.

Reise

S. P.

Waller

N. G.

(2009). Item response theory and clinical measurement. Annual Review of Clinical Psychology, 5(1), 27–48.

46.

Rosenberg

(1965). Rosenberg self-esteem scale. Princeton, NJ: Princeton University Press.

47.

Şahin-Baltacı

Tagay

Ö.

Worrell

F. C.

Mello

Z. R.

(2017). Psychometric properties of Turkish adolescent time inventory-time attitude (ATI-TA) scores. International Perspectives in Psychology: Research, Practice, Consultation, 6(1), 47–59.

48.

Scheier

M. F.

Carver

C. S.

(1985). Optimism, coping, and health: Assessment and implications of generalized outcome expectancies. Health Psychology, 4(3), 219–247.

49.

Schermelleh-Engel

Moosbrugger

Müller

(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.

50.

Schwarz

(1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464.

51.

Shipp

A. J.

Edwards

J. R.

Lambert

L. S.

(2009). Conceptualization and measurement of temporal focus: The subjective experience of the past, present, and future. Organizational Behavior and Human Decision Processes, 110(1), 1–22.

52.

Snyder

C. R.

Sympson

S. C.

Ybasco

F. C.

Borders

T. F.

Babyak

M. A.

Higgins

R. L.

(1996). The development and validation of the stage hope scale. Journal of Personality and Social Psychology, 70(2), 321–335.

53.

Steiger

J. H.

Lind

J. C.

(1980, April). Statistically-based tests for the number of common factors. Annual Spring Meeting of the Psychometric Society, Iowa City, United States.

54.

Struyven

Dochy

Janssens

Gielen

(2006). On the dynamics of students’ approaches to learning: The effects of the teaching/learning environment. Learning and Instruction, 16(4), 279–294.

55.

Tait

Entwistle

N. J.

McCune

(1998). ASSIST: A reconceptualisation of the Approaches to Studying Inventory. In Rust

(ed.), Improving Student Learning: Improving Students as Learners. Oxford: Oxford Centre for Staff and Learning Development.

56.

Tucker

L. R.

Lewis

(1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38(1), 1–10.

57.

Vandenberg

R. J.

Lance

C. E.

(2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70.

58.

Vrieze

S. I.

(2012). Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Psychological Methods, 17(2), 228–243.

59.

Waiyavutti

Johnson

Deary

I. J.

(2011). Do personality scale items function differently in people with high and low IQ? Psychological Assessment, 24(3), 545–555.

60.

Wells

K. E.

McKay

M. T.

Morgan

G. B.

Worrell

F. C.

(2018a). Time attitudes predict changes in adolescent self-efficacy: A 24-month latent transition mover-stayer analysis. Journal of Adolescence, 62(1), 27–37.

61.

Wells

K. E.

Morgan

Worrell

F. C.

Sumnall

McKay

M. T.

(2018b). The influence of time attitudes on alcohol-related attitudes, behaviors and subjective life expectancy in early adolescence: A longitudinal examination using mover–stayer latent transition analysis. International Journal of Behavioral Development, 42(1), 93–105.

62.

Wills

T. A.

Sandy

J. M.

Yaeger

A. M.

(2001). Time perspective and early-onset substance use: A model based on stress–coping theory. Psychology of Addictive Behaviors, 15(2), 118–125.

63.

Worrell

F. C.

Hale

R. L.

(2001). The relationship of hope in the future and perceived school climate to school completion. School Psychology Quarterly, 16(4), 370–388.

64.

Worrell

F. C.

McKay

M. T.

Andretta

J. R.

(2018). Psychometric properties of Adolescent Time Inventory Time Attitude (ATI-TA) scores in three waves of longitudinal data. Psychological Assessment, 30(1), 106–115.

65.

Worrell

F. C.

Mello

Z. R.

(2007). The reliability and validity of Zimbardo Time Perspective Inventory scores in academically talented adolescents. Educational and Psychological Measurement, 67(3), 487–504.

66.

Worrell

F. C.

Mello

Z. R.

(2009). Convergent and discriminant validity of time attitude scores on the Adolescent Time Perspective Inventory. Diskurs Kindheits und Jugendforschung [Research on Child and Adolescent Development], 4(2), 185–196.

67.

Worrell

F. C.

Mello

Z. R.

Buhl

(2013). Introducing English and German versions of the adolescent time attitude scale. Assessment, 20(4), 496–510.

68.

Wyman

P. A.

Cowen

E. L.

Work

W. C.

Raoof

Gribble

P. A.

Parker

G. R.

Wannon

(1992). Interviews with children who experienced major life stress: Family and child attributes that predict resilient outcomes. Journal of the American Academy of Child & Adolescent Psychiatry, 31(5), 904–910.

69.

Zimbardo

P. G.

Boyd

J. N.

(1999). Putting time in perspective: A valid, reliable individual- differences metric. Journal of Personality and Social Psychology, 77(6), 1271–1288.

70.

Zimbardo

P. G.

Keough

K. A.

Boyd

J. N.

(1997). Present time perspective as a predictor of risky driving. Personality and Individual Differences, 23(6), 1007–1023.