Elsevier

Intelligence

Volume 46, September–October 2014, Pages 122-130
Intelligence

Quantity and structure of word knowledge across adulthood

https://doi.org/10.1016/j.intell.2014.05.009Get rights and content

Highlights

  • Cross-sectional and longitudinal comparisons reveal declines in vocabulary knowledge.

  • Relations among different types of vocabulary tests are weaker at older ages.

  • Decreases in vocabulary performance may be related to structural changes in knowledge.

Abstract

Cross-sectional and longitudinal data from moderately large samples of healthy adults confirmed prior findings of age-related declines in measures of the quantity of word knowledge beginning around age 65. Additional analyses were carried out to investigate the interrelations of different types of vocabulary knowledge at various periods in adulthood. Although the organizational structures were similar in adults of different ages, scores on tests with different formats had weaker relations to a higher-order vocabulary construct beginning when adults were in their 60s. The within-person dispersion among different vocabulary test scores was also greater after about 65 years of age. The discovery of quantitative decreases in amount of knowledge occurring at about the same age as qualitative shifts in the structure of knowledge raises the possibility that the two types of changes may be causally linked.

Introduction

As one would expect if knowledge accumulates over time, performance on tests of knowledge has often been reported to be greater at older ages. However, late-life declines in measures of vocabulary have been reported in cross-sectional data based on nationally representative samples (see figures in Salthouse, 1988a, Salthouse, 1988b, Salthouse, 1991, Salthouse, 2003, Salthouse, 2010a), and also in several studies with longitudinal comparisons (e.g., Albert et al., 1988, Alder et al., 1990, Anstey et al., 2003, Christensen et al., 1999, De Frias et al., 2007, Ghisletta et al., 2006, Schaie, 2005, Sliwinski and Buschke, 1999, Zelinski and Burnight, 1997). Because lack of access to previously available information may be a unique indicator of age-related decline in cognitive functioning, understanding the relations of age to word knowledge could provide valuable insights into the nature of late-life cognitive decline.

Many prior studies have examined only a single measure of vocabulary knowledge, but if multiple vocabulary measures are available relations among the measures can be examined to investigate the structure of a vocabulary construct at different ages. That is, not only can the amount of knowledge be assessed, in terms of the level of each measure, but also the cohesiveness of the vocabulary knowledge construct can be examined by the relations among the different measures.

A popular conceptualization of knowledge representation is a network in which the nodes correspond to semantic, phonological, or orthographic information (e.g., Burke et al., 2000, Burke et al., 1991, Salthouse, 1988a, Salthouse, 1988b). Because vocabulary tests in different formats vary in terms of the information that is provided and the information that is requested (e.g., Bowles and Salthouse, 2008, Rabaglia and Salthouse, 2011, Verhaeghen, 2003), different test formats can be postulated to involve different access routes to semantic information. That is, naming pictured objects requires that meaning is accessed and the phonological representation is activated, providing a definition of a target word requires that meaning be accessed from the phonological representation, and tests of synonyms and antonyms involve comparison of meanings with either the same or opposite connotations (cf. Rabaglia & Salthouse, 2011). If different types of vocabulary tests can be assumed to vary with respect to the aspects of the semantic network that are involved, the cohesiveness of a vocabulary construct can be investigated by examining the strength of the relations among scores in tests involving different formats. That is, a more cohesive or tightly organized construct should have smaller variability across scores from different types of tests, and stronger relations among the scores in those tests.

There were therefore two primary goals of the present study: (1) further investigate the relations of age to vocabulary knowledge in both cross-sectional and longitudinal comparisons, and (2) investigate possible qualitative differences in word knowledge by determining whether increased age was associated with a shift in the structural organization of measures of vocabulary knowledge obtained from different test formats.

The first goal was pursued by examining the age trends on individual and composite measures of vocabulary from four different tests, each with three versions comprised of different items. The sample of participants consisted of over 4700 adults with cross-sectional data, and over 2200 adults with two-occasion longitudinal data. Because the age trends suggested the existence of two segments, spline regression analyses were conducted to determine the age corresponding to the transition between the two segments.

The second goal was investigated by examining relations among different vocabulary measures at both within-individual and between-individual levels of analysis. Within-individual comparisons were based on assessments of across-test variability. The rationale was that if the construct is becoming less cohesive with increased age, one might expect greater divergence, in the form of increased across-test variability, among the scores on different types of tests at older ages.

Between-individual comparisons were examined in the context of a hierarchical structure of word knowledge, as portrayed in the bottom of Fig. 1.2 Note that the lowest level in the hierarchy consists of scores in the different test versions, the next level consists of constructs corresponding to the four different tests, and the highest level corresponds to a broad vocabulary construct. Relations from the first to the second levels, and from the second to the third levels, are relevant to whether the tests are all assessing the same construct, and hence serve to evaluate convergent validity of the vocabulary construct. When assessing construct validity it is also important to evaluate discriminant validity by determining whether the vocabulary construct is distinct from other constructs. Information relevant to this question is available in the magnitude of the relations of the vocabulary construct with measures of constructs representing different cognitive abilities because the correlations with cognitive abilities should be weak if the vocabulary construct represents something distinct from the other constructs.

Possible age differences in the structure of vocabulary knowledge were investigated by examining the fit of the model in different age groups, and comparing the magnitude of each parameter to determine where differences might exist in the structure. For example, differences could be evident at the lowest level, in the form of weaker relations of the test constructs to the test versions. Alternatively, if processes associated with aging have differential impact on the modes of accessing information (e.g., recognition or retrieval) required by the different test formats, increased age could be associated with weaker relations of the broad vocabulary construct to the relevant test constructs. Finally, increased age might be associated with stronger relations of the vocabulary construct to other constructs, as implied by the de-differentiation concept (e.g., Cunningham, 1980).

The data in the current report were derived from the Virginia Cognitive Aging Project (VCAP), which is an on-going longitudinal study of aging and cognition involving a moderately large sample of adults ranging from 18 to over 90 years of age (e.g., Salthouse, 2009, Salthouse, 2010b, Salthouse, 2011, Salthouse et al., 2008). A unique feature of VCAP is a measurement-burst design involving the administration of parallel versions of each test on three separate sessions at each longitudinal occasion. In addition to having the potential to increase sensitivity by aggregation of scores across sessions, the availability of three versions of each test allows fine-grained analyses of the structure of vocabulary knowledge by examining relations among different versions of the same tests and relations among different types of tests, as portrayed in Fig. 1.

Section snippets

Participants

Characteristics of the participants by age decade are summarized in Table 1. Approximately 79% of the participants were Caucasian, 11% African-American, and the remainder from other ethnicities or reporting multiple classifications. Because of the small number, participants over 90 years of age were not included in the current analyses. It can be seen that the ages ranged from 18 to 89, and that the average Mini Mental State Exam (Folstein, Folstein, & McHugh, 1975) scores were all above 28.

A

Age relations

Fig. 2 portrays means (and standard errors) of z-scores in the four vocabulary tests on the first session of the first occasion as a function of age decade. Notice that with each measure there was a similar pattern of an increase, followed either by stability (for synonym vocabulary) or decline (for the other three vocabulary measures).

Segmented (spline) regression analyses were used to estimate the age corresponding to the best-fitting boundary between the two segments of the functions (cf.

Discussion

The results reported above indicate that the relations between age and vocabulary knowledge in this study are distinctly non-linear, with an increase followed by either stability or a decrease. The cross-sectional and longitudinal data were consistent in indicating that negative between-person differences and within-person changes appear to begin when people are about 65 years of age. Moreover, because the patterns were similar in three different sets of items (based on different test versions

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    This research was supported by Award Number R37AG024270 from the National Institute on Aging. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institute on Aging or the National Institutes of Health. There are no conflicts of interest.

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