Measurement of overgeneral autobiographical memory: Psychometric properties of the autobiographical memory test in young and older populations

Laura Ros, Dulce Romero, Jorge J Ricarte, Juan P Serrano, Marta Nieto, Jose M Latorre, Laura Ros, Dulce Romero, Jorge J Ricarte, Juan P Serrano, Marta Nieto, Jose M Latorre

Abstract

The Autobiographical Memory Test (AMT) is the most widely used measure of overgeneral autobiographical memory (OGM). The AMT appears to have good psychometric properties, but more research is needed on the influence and applicability of individual cue words in different languages and populations. To date, no studies have evaluated its usefulness as a measure of OMG in Spanish or older populations. This work aims to analyze the applicability of the AMT in young and older Spanish samples. We administered a Spanish version of the AMT to samples of young (N = 520) and older adults (N = 155). We conducted confirmatory factor analysis (CFA), item response theory-based analysis (IRT) and differential item functioning (DIF). Results confirm the one-factor structure for the AMT. IRT analysis suggests that both groups find the AMT easy given that they generally perform well, and that it is more precise in individuals who score low on memory specificity. DIF analysis finds three items differ in their functioning depending on age group. This differential functioning of these items affects the overall AMT scores and, thus, they should be excluded from the AMT in studies comparing young and older samples. We discuss the possible implications of the samples and cue words used.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1. Test information function (solid line)…
Fig 1. Test information function (solid line) and standard error of measurement (dashed line) for the AMT.
Left-hand graph: younger group; Right-hand graph: older group. Specificity and SEM are measured on a standardized scale. Probability = the precision of the test at a particular point, measured in a squared metric. SEM = the precision with which an individual’s level of ability on the AMT can be estimated using the current scale. The SEM is lowest, and hence estimates are more precise, where the test information function is at its peak.
Fig 2. Item response functions for DIF…
Fig 2. Item response functions for DIF items between young and older groups.
Reference: young group; Focal: older group. For an item exhibiting no age group-DIF, the red and black lines would coincide so that both groups would have the same probability (item score) of responding with a specific memory at every point along the latent trait (theta). Uniform and non-uniform DIF manifest themselves as parallel and non-parallel item response functions, respectively.
Fig 3. Differences in true scores for…
Fig 3. Differences in true scores for DIF items between young and older groups.
Items scores are presented as standardized. The line shows the absolute difference between the Item Characteristic Curves for the two groups (young and older). Where the line is higher indicates at what level of the latent trait Specificity (theta) the difference is greater.

References

    1. Griffith JW, Sumner JA, Raes F, Barnhofer T, Debeer E, Hermans D. Current psychometric and methodological issues in the measurement of overgeneral autobiographical memory. J Behav Ther Exp Psychiatry 2012; 43: S21–S31. doi:
    1. Williams JMG. Capture and rumination, functional avoidance, and executive control (CaRFAX): Three processes that underlie overgeneral memory. Cogn Emot 2006; 20: 548–68. doi:
    1. Berna F, Potheegadoo J, Aouadi I, Ricarte JJ, Allé MC, Coutelle R, et al. A meta-analysis of autobiographical memory studies in schizophrenia spectrum disorder. Schizophr Bull 2016; 42: 56–66. doi:
    1. Gibbs BR, Rude SS. Overgeneral autobiographical memory as depression vulnerability. Cognit Ther Res 2004; 28: 511–26. doi:
    1. Ros L, Ricarte JJ, Serrano JP, Nieto M, Aguilar MJ, Latorre JM. Overgeneral autobiographical memories: Gender differences in depression. Appl Cogn Psychol 2014; 28: 472–80. doi:
    1. Williams JMG, Barnhofer T, Crane C, Herman D, Raes F, Watkins E, et al. Autobiographical memory specificity and emotional disorder. Psychol Bull 2007; 133: 122–48. doi:
    1. Conway MA, Pleydell-Pearce CW. The construction of autobiographical memories in the self-memory system. Psychol Rev 2000; 107: 261–88. doi:
    1. Williams JMG. Depression and specificity of autobiographical memory In: Rubin DC, editor. Remembering our past: Studies in autobiographical memory. Cambridge, England: Cambridge University Press; 1996. p. 244–67
    1. Williams JMG, Broadbent K. Autobiographical memory in suicide attempters. J Abnorm Psychol 1986; 95: 144–9. doi:
    1. Liu X, Li L, Xiao J, Yan J, Jiang X. Abnormalities of autobiographical memory of patients with depressive disorders: A meta-analysis. Psychol Psychother 2013; 86: 353–73. doi:
    1. Van Vresswijk MF, de Wilde EJ. Autobiographical memory specificity, psychopathology, depressed mood, and the use of the Autobiographical Memory Test: A meta-analysis. Behav Res Ther 2004; 42: 731–43. doi:
    1. Griffith JW, Kleim B, Sumner JA, Ehlers A. The factor structure of the autobiographical memory test in recent trauma survivors. Psychol Assess 2012; 24: 640–6. doi:
    1. Griffith JW, Sumner JA, Debeer E, Raes F, Hermans D, Mineka S, et al. An item-response theory/confirmatory factor analysis of the Autobiographical Memory Test. Memory 2009; 17: 609–23. doi:
    1. Heron J, Crane C, Gunnell D, Lewis G, Evans J, Williams JM. 40,000 memories in young teenagers: Psychometric properties of the autobiographical memory test in a UK cohort study. Memory 2012; 20: 300–20. doi:
    1. Nuttall AK, Valentino K, Comas M, McNeill AT, Stey PC. Autobiographical memory specificity among preschool-aged children. Dev Psychol 2014; 50: 1963–72. doi:
    1. Nieto M, Ros L, Mateo A, Ricarte JJ, Latorre JM. The psychometric properties of the Autobiographical Memory Test in preschool-aged children. Assessment 2017; 24: 115–26. doi:
    1. Takano K, Mori M, Nishiguchi Y, Moriya J, Raes F. Psychometric properties of the written version of the autobiographical memory test in a Japanese community sample. Psychiatry Res 2017; 248: 56–63. doi:
    1. Dritschel B, Kao CM, Astell A, Neufeind J, Lai TJ. How are depression and autobiographical memory retrieval related to culture? J Abnorm Psychol 2011; 120: 969–74. doi:
    1. Kong T, He Y, Auerbach RP, McWhinnie CM, Xiao J. Rumination and depression in Chinese university students: The mediating role of overgeneral autobiographical memory. Pers Individ Differ 2015; 77: 221–4. doi:
    1. Liu Y, Zhang F, Wang Z, Cao L, Wang J, Na A, et al. Overgeneral autobiographical memory at baseline predicts depressive symptoms at follow-up in patients with first-episode depression. Psychiatry Res 2016; 243: 123–7. doi:
    1. Matsumoto N, Mochizuki S. Effects of self-relevant cues and cue valence on autobiographical memory specificity in dysphoria. Cogn Emot 2017; 31: 607–15. doi:
    1. Wang Q. Autobiographical memory and culture. Online Readings in psychology and Culture 2011; 5 doi:
    1. Markus HR, Kitayama S. Culture and the self: Implications for cognition, emotion, and motivation. Psychol Rev 1991; 98: 224–53. doi:
    1. Wang Q, Hou Y, Tang H, Wiprovnick A. Travelling backwards and forwards ini time: Culture and gender in the episodic specificity of past and future events. Memory 2011; 19: 103–9. doi:
    1. Raes F, Hermans D, Williams JMG, Eelen P. A sentence completion procedure as an alternative to the autobiographical memory test for assessing overgeneral memory in non-clinical populations. Memory 2007; 15: 495–507. doi:
    1. Debeer E, Hermans D, Raes F. Associations between components of rumination and autobiographical memory specificity as measured by a minimal instructions autobiographical memory test. Memory 2009; 17: 892–903. doi:
    1. Chen XJ, Liu LL, Cui JF, Wang Y, Shum DH, Chan RC. Chinese and Australians showed differences in mental time travel in emotion and content but not specificity. Front Psychol 2015; 6: 879 doi:
    1. Birch LS, Davidson KM. Specificity of autobiographical memory in depressed older adults and its relationship with working memory and IQ. Br J Clin Psychol 2007; 46: 175–86. doi:
    1. Ros L, Latorre JM, Serrano JP. Working memory capacity and overgeneral autobiographical memory in young and older adults. Aging Neuropsychol Cogn 2010; 17: 89–107. doi:
    1. Dalgleish T, Williams JMG, Golden AM, Perkins N, Barrett LF, Barnard PJ, et al. Reduced specificity of autobiographical memory and depression: The role of executive control. J Exp Psychol Gen 2007; 136: 23–42. doi:
    1. Griffith JW, Claes S, Hompes T, Vrieze E, Vermote S, Debeer E, et al. Effects of childhood abuse on overgeneral autobiographical memory in current major depressive disorder. Cognit Ther Res 2016; 40: 774–82. doi:
    1. Barnhofer T, Crane C, Spinhoven P, Wiliams JMG. Failures to retrieve specific memories in previously depressed individuals: Random errors or content-related? Behav Res Ther 2007; 45: 1859–69. doi:
    1. Cuevas M, Cervantes VH. Differential item functioning detection with logistic regression. Math Sci Hum 2012; 199: 45–59. doi:
    1. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 1998; 59 (Suppl. 20): 22–33.
    1. Lobo A, Ezquerra J, Gómez Burgada F, Sala JM, Seva-Díaz A. El Mini-Examen Cognoscitivo: Un “test” sencillo, práctico para detectar alteraciones intelectuales en pacientes médicos. Actas Luso Esp Neurol Psiquiatr Cienc Afines 1979; 3: 189–202.
    1. Williams JMG. Autobiographical Memory Test. Unpublished manuscript; 2005.
    1. Brittlebank AD, Scott J, Williams JMG, Ferrier IN. Autobiographical memory in depression: State or trait marker? Br J Psychiatry 1993; 162: 118–21. doi:
    1. Davis CJ, Perea M. Buscapalabras: A program for deriving ortographic and phonological neighbourhood statistics and other psycholinguistic indices in Spanish. Behav Res Methods 2005; 37: 665–71. doi:
    1. Williams JMG, Barnhofer T, Crane C, Beck AT. Problem solving deteriorates following mood challenge in formerly depressed patients with a history of suicidal ideation. J Abnorm Psychol 2005; 114: 421–31. doi:
    1. Muthén LK, Muthén BO. Mplus user’s guide 6th ed. Los Angeles, CA: Muthén & Muthén; 1998. –2011.
    1. Choi SW, Gibbons LE, Crane PK. Lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. J Stat Softw 2011; 39: 1–30.
    1. R Core Team. R: A language and environment for statistical computing Vienna, Austria: R Foundation for Statistical Computing; 2014. Retrieved from
    1. Embretson SE, Reise SP. Item response theory for psychologists London: Lawrence Erlbaum Associates; 2000.
    1. Swaminathan H, Rogers HJ. Detecting differential item functioning using logistic regression procedures. J Educ Meas 1990; 27: 361–70. doi:
    1. Crane PK, Gibbons LE, Ocepek-Welikson K, Cook K, Cella D, Narasimhalu K, et al. A comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression. Qual Life Res 2007: 16 (Suppl. 1): 69–84. doi:
    1. Jodoin MG, Gierl MJ. Evaluating type I error and power rates using an effect size measure with the logistic regression procedure for DIF detection. Applied Measurement in Education 2001; 14: 329–49. doi:
    1. Bentler PM. On the fit of models to covariances and methodology to the bulletin. Psychol Bull 1992; 112: 400–4. doi:
    1. Hu L, Bentler PM. Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Modeling 1999; 6: 1–55. doi:
    1. Byrne BM. Structural equation modeling with AMOS: Basic concepts, applications, and programming New Jersey: Lawrence Erlbaum Associates; 2001.
    1. Tabachnick BG, Fidell LS. Using multivariate statistics 4th ed. Needham Heights, Mass: Allyn & Bacon; 2001.
    1. Baker FB, Kim S. Item response theory: Parameter estimation techniques 2nd ed. New York: Marcel Dekker, Inc; 2004.
    1. Mather M. Why memories may become more positive as people age In: Uttl B, Ohta N, Siegenthaler A, editors. Memory and emotion: Interdisciplinary perspectives. New York: Blackwell Publishing; 2006. p. 135–58.
    1. Williams JMG, Chan S, Crane C, Barnhofer T, Eade J, Healy H. Retrieval of autobiographical memories: The mechanisms and consequences of truncated search. Cogn Emot 2006; 20: 351–82. doi:
    1. Mackinger HF, Loschin GG, Leibetseder MM. Prediction of postnatal affective changes by autobiographical memories. Eur Psychol 2000; 5: 52–61. doi:
    1. Mackinger HF, Pachinger MM, Leibetseder MM, Fartacek RR. Autobiographical memories in women remitted from major depression. J Abnorm Psychol 2000; 109: 331–4. doi:
    1. Williams JMG, Dritschel B. Emotional disturbance and the specificity of autobiographical memory. Cogn Emot 1988; 2: 221–34. doi:
    1. Park RJ, Goodyer IM, Teasdale JD. Categoric overgeneral autobiographical memory in adolescents with major depressive disorder. Psychol Med 2002; 32: 267–76. doi:
    1. Williams JMG, Scott J. Autobiographical memory in depression. Psychol Med 1988; 18: 689–95. doi:
    1. Hipwell AE, Sapotichne B, Klostermann S., Battista D, Keenan K. Autobiographical memory as a predictor of depression vulnerability in girls. J Clin Child Adolesc Psychol 2011; 40: 254–65. doi:
    1. Rawal A, Rice F. Examining overgeneral autobiographical memory as a risk factor for adolescent depression. J Am Acad Child Adolesc Psychiatry 2012; 51: 518–27. doi:
    1. Vrielynck N, Deplus S, Philippot P. Overgeneral autobiographical memory and depressive disorder in children. J Clin Child Adolesc Psychol 2007; 36: 95–105. doi:
    1. Sampson MJ, Kinderman P, Watts S, Sembi S. Psychopathology and autobiographical memory in stroke and non-stroke hospitalized patients. Int J Geriatr Psychiatry 2003; 18: 23–32. doi:
    1. Field D. Retrospective reports by healthy intelligent elderly people of personal events of their adult lives. Int J Behav Dev 1981; 4: 77–97. doi:
    1. Carstensen LL, Fung HH, Charles ST. Socioemotional Selectivity Theory and the regulation of emotion in the second half of life. Motiv Emot 2003; 27: 103–23. doi:
    1. McAdams DP. The psychology of life stories. Rev Gen Psychol 2001; 5: 100–22. doi:

Source: PubMed

3
Předplatit