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Morphological processing of complex and simple pseudo-words in adults and older adults

Published online by Cambridge University Press:  11 April 2022

Miguel Lázaro*
Affiliation:
Universidad Complutense de Madrid
Víctor Illera
Affiliation:
Universidad Complutense de Madrid
Seila García
Affiliation:
Universidad Complutense de Madrid
José María Ruíz Sánchez de León
Affiliation:
Universidad Complutense de Madrid
*
*Corresponding author. Email: [email protected]
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Abstract

The role of morphemes in lexical recognition has been extensively explored in recent years, although the evidence from older adults is extremely scarce. In this study, we carry out a lexical decision task to assess the interference generated by morphological composition of pseudo-words (i.e., the longer and more error prone decisions on pseudo-words made up of morphemes in comparison to pseudo-words without morphological appearance) in a group of young and older adults (mean = 74 years). The results show the expected effect on both response latencies and error rates for both groups. The effect of imageability is also significant. The specific results for the older adults show an interaction between the morphological effect and cognitive reserve: older adults with higher levels of cognitive reserve are more sensitive to morphological interference than older adults with lower cognitive reserve. The overall results are interpreted based on current models of morphological processing and aging.

Type
Article
Creative Commons
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press

1. Introduction

The role of derivational morphology in visual word recognition has been the subject of considerable research in recent decades. This research has shown that morphemes play a role in visual word recognition of complex words. Although a number of aspects of morphological processing (whether its role starts early on the process, whether it affects lexical recognition earlier or later than semantic processing, etc.; see Amenta & Crepaldi, Reference Amenta and Crepaldi2012) have been discussed, it is generally accepted that morphological processing has its own role in lexical recognition beyond orthographic and semantic processing.

The evidence accumulated for morphological processing during visual word recognition has mostly been obtained with adults (e.g., Diependaele, Sandra, & Grainger, Reference Diependaele, Sandra and Grainger2005; Lázaro, Sainz, & Illera, Reference Lázaro, Sainz and Illera2015; Rastle, Davis, & New, Reference Rastle, Davis and New2004) but also with children with and without language difficulties (e.g., Burani et al., Reference Burani, Dovetto, Spuntarelli and Thornton2008; Lázaro et al., Reference Lázaro, Acha, de la Rosa, García and Sainz2017, Reference Lázaro, Acha, Illera, García, Escalonilla and Sainz2018; Mann & Singson, Reference Mann, Singson, Assink and Sandra2003; Quémart, Casalis, & Duncan, Reference Quémart, Casalis and Duncan2012). One of the most common ways to assess morphological processing in visual word recognition is through masked priming lexical decision experiments (50 ms prime presentation). Typically, primes and targets are related (1) in semantic and morphological terms, as in hunter-hunt (transparent condition); (2) in morphological but not in semantic terms, as in corner-corn (opaque condition); and (3) only in orthographical terms, as in brothel-broth (form condition). The results show the same facilitatory effect for the transparent as for the opaque words with no benefit for the form condition. This result has been interpreted as morphological processing taking place early in the process without any influence of the semantic relationship between primes and targets (e.g., Gold & Rastle, Reference Gold and Rastle2007; Lázaro, García, & Illera, Reference Lázaro, García and Illera2021; Smolka, Libben, & Dressler, Reference Smolka, Libben and Dressler2019), although this pattern of results has some exceptions (see, e.g., Feldman, O’Connor, & Moscoso del Prado Martín, Reference Feldman, O’Connor and Moscoso del Prado Martín2009).

Despite the large body of evidence accumulated for morphological processing in visual word recognition, the evidence relating morphological processing and aging is almost nonexistent. One of the few studies on the topic is that by Reifegerste, Elin, & Clahsen (Reference Reifegerste, Elin and Clahsen2018). These authors explored morphological processing in healthy, bilingual young and older adults in a masked lexical decision task. Reifegerste et al. observed no interaction between age and the morphological effect observed, and it was thus concluded that derivational processing is unaffected in aging.

On the other hand, Duñabeitia et al. (Reference Duñabeitia, Marín, Avilés, Perea and Carreiras2009) carried out an experiment in Spanish. These authors presented compound words primed by their first constituent, second constituent, or an unrelated word, in a lexical decision task with a group of young adults and a group of older healthy adults. The results showed that the magnitude of the constituent priming effect was similar for young and older adults. These results were interpreted as fully preserved morphological processing in advanced age when two lexical morphemes appear within a word. These results are interesting for the present study since they were collected precisely from Spanish speaking participants, as is our case. However, the experiment by Duñabeitia et al. (Reference Duñabeitia, Marín, Avilés, Perea and Carreiras2009) explored compound processing, whereas we focus on derivational suffixes, as these are the most frequent morphemes in Spanish. Indeed, languages differ in the way new words are coined. For instance, Romance languages, such as Italian, French, or Spanish, tend to create new words through derivational morphology (stems + derivational suffixes; Rey-Debove, Reference Rey-Debove1984; Varela, Reference Varela1990), whereas in Germanic languages, such as Dutch, English, or German, compounding is the most productive way (stem + stem). This implies that speakers and readers of different languages are exposed to different morphological systems, and therefore the results observed for one language do not necessarily stand for others. Taking this into consideration, despite the previously presented evidence showing preservation of morphological processing for healthy older adults, such evidence requires further support.

The literature also includes few studies on morphological processing and dementia. Nevertheless, Kavé, Heinik, & Biran (Reference Kavé, Heinik and Biran2012) and Auclair-Ouellet et al. (Reference Auclair-Ouellet, Fossardc, Laforce, Biere and Macoir2016) published two relevant studies with different conclusions. These authors focused on morphological processing, particularly in persons diagnosed with semantic dementia, the least common form of frontotemporal lobar degeneration. Kavé, Heinik, & Biran (Reference Kavé, Heinik and Biran2012) conducted an extensive battery of linguistic tests on a Hebrew-speaking patient, including morphological tasks, such as inflectional production (plural forms) and comprehension (grammatical judgment), and derivational production (diminutive forms and naming). The general results of the morphological battery showed the patient continued to process the words morphologically and used this processing to carry out all the tasks proposed. Auclair-Ouellet et al. (Reference Auclair-Ouellet, Fossardc, Laforce, Biere and Macoir2016) used three production and comprehension tasks to evaluate the performance of 10 French-speaking individuals with semantic dementia and a control group. Specifically, the three tasks were: (1) verb production, that is, producing verbs from given nouns; (2) matching nouns, that is, previously produced nouns had to be matched with new nouns related in meaning; and (3) a lexical decision task with verbs and pseudo-verbs presented in the first task. The results showed that, compared with the controls, the patients with semantic dementia had greater difficulty producing nouns derived from verbs (Task 1), more difficulties in matching complex words based on the agentive meaning of the suffix (Task 2), and less accuracy than healthy participants (Task 3). Hence, while the study by Kavé, Heinik, & Biran (Reference Kavé, Heinik and Biran2012) underscores the patient’s preservation of morphological processing, Auclair-Ouellet et al. (Reference Auclair-Ouellet, Fossardc, Laforce, Biere and Macoir2016) highlight the deterioration of this processing. It is important, however, to consider that both studies were carried out with a small number of participants and making use of different tasks, so that methodological aspects preclude us from supporting any possibility concerning morphological processing of patients with semantic dementia.

The issue of whether language processing might be a marker of cognitive decline is of great importance. Despite there being an enormous amount of research relating cognitive status and cognitive reserve to a number of cognitive skills, only a few studies have focused on language. However, Montemurro et al. (Reference Montemurro, Jarema and Mondini2019) reported interesting results in this respect (see also Nikolaev et al., Reference Nikolaev, Ashaie, Halikainen, Hänninen, Higby and Hyun2019). These authors found that accuracy in name retrieval can be predicted by cognitive reserve in older adults (see also Mondini et al., Reference Mondini, Madella, Zangrossi, Bigolin, Tomasi and Michieletto2016). Their results led them to suggest that the naming of proper nouns is an effective task in detecting early signs of dementia.

In our view, exploring morphological processing in older adults can substantially impact not only our understanding of how visual word recognition and language processing occur, but also how cognitive decline starts and evolves. Moreover, this issue is not restricted to a mere theoretical discussion, but might have a practical impact, since as discussed, complex words – words formed by at least two morphemes, are not unusual in many languages, tending, in fact, to be very common, as Booij (Reference Booij2002) showed for Dutch, Rey-Debove (Reference Rey-Debove1984) for French, and for Spanish.

As stated above, most experimental evidence shows that morphological processing occurs as a mandatory process in visual complex word recognition in children and adults, but a little is known about the case of older adults. The few studies conducted seem to provide overall support for morphological processing not being affected in healthy older adults, but, as mentioned, morphological processing has been studied with few participants and making use of very different tasks, stimuli, and languages. We believe that more evidence needs to be obtained to further support morphological processing preservation in healthy older adults. In fact, recent studies (Reifegerste et al., Reference Reifegerste, Meyer, Zwisterlood and Ullman2021) have shown age-related results in lexical decision tasks (Experiments 1 and 2) as a function of the type of word. These authors observed slower responses for older adults in comparison to younger adults when non-motor words (e.g., steak) appeared, although this effect did not emerge when motor words were presented (e.g., knife). Beyond the role of motor-relatedness processing in older adults, this study showed that stimuli selection plays a great role in lexical processing. This makes it clear to us that the current evidence concerning morphological processing in older adults is insufficient to support the notion that it is preserved in aging. Hence, more evidence is required.

Our study seeks precisely to contribute to this issue. To this end, we designed a lexical decision task which assesses a well-known morphological effect in adults, that is, complex pseudo-words composed of existing morphemes (e.g., tabler) take longer to process and yield higher error rates compared to simple pseudo-words containing no morpheme (holune; Caramazza, Laudanna, & Romani, Reference Caramazza, Laudanna and Romani1988). This effect was subsequently reported in Italian by Burani et al. (Reference Burani, Marcolini, De Luca and Zoccolotti1999), in English by Crepaldi, Rastle, & Davis (Reference Crepaldi, Rastle and Davis2010) and Dawson, Rastle, & Ricketts (Reference Dawson, Rastle and Ricketts2018), in Spanish by Carden et al. (Reference Carden, Barreyro, Segui and Jaichenco2019), and more recently both in the visual and auditory modality by Beyersman et al. (Reference Beyersman, Mousikou, Javourey, Schroeder, Ziegler and Grainger2020) in French and German.

The explanation for this morphological effect is interesting, since a purely lexical origin cannot be postulated given that pseudo-words have no lexical representation. It seems more reasonable to suggest that during the processing of pseudo-words, readers are sensitive to morphological information, thus presupposing a morphological representation in the system. Activating this morphological information implies matching the stimulus and a stored representation, which would generate the reader’s expectation of being presented with a real word. In this case, we would then be considering an activation effect at sublexical level. This activation would explain the increase in error rate in the lexical decision task (false positives) and the higher response latency in the case of pseudo-words with lexical and derivative morphemes (tabler) compared to pseudo-words with no morphological composition (holune).

This, however, is not the only possible explanation. As well as the effect of the morphological composition of pseudo-words, Dawson, Rastle, & Ricketts (Reference Dawson, Rastle and Ricketts2018) also found a significant effect of word imageability. Words rated as more imaginable by external evaluators yielded more errors and higher latencies compared to those with low imageability. Imageability has been defined as ‘the extent to which the referent of the word evokes a mental image’ (de Groot, Reference De Groot1989, p. 824; see Chuang et al., Reference Chuang, Vollmer, Shafaei-Bajestan, Gahl, Hendrix and Baayen2020, for further support of semantic processing of complex pseudo-words).

In theoretical terms, according to the context availability theory (Schwanenflugel & Stowe, Reference Schwanenflugel and Stowe1989), the effect associated with imageability reflects differences in the amount of information that links semantic knowledge with each word. The semantic approach to the effect of imageability was also supported by Sabsevitz et al. (Reference Sabsevitz, Medler, Seidenberg and Binder2005)) in their brain imaging study. Specifically, these authors observed a distributed, bilateral semantic memory system that responded more strongly to concrete than to abstract words. Experimental results obtained for imageability suggest there exist differences between the representation of abstract and concrete words in the lexicon (e.g., Westbury & Moroschan, Reference Westbury and Moroschan2009) and that these differences come from differences in the semantic activation of these words.

It is worth noting that, despite our experiment being initially designed to assess the role of morphological composition of pseudo-words in visual recognition, the imageability of these stimuli is a factor that is intrinsically present. Therefore, our experimental design involves not only assessing the role of morphological processing (through the morphological or non-morphological composition of pseudo-words), but also the role of semantics (through the different imageability of stimuli). This is, to our understanding, a major strength of our study, being able to unravel the role of both issues in word processing in healthy older adults. In other words, this is not a limitation of the present study, but rather it allows us to independently explore two key aspects of language processing in aging; is morphological processing preserved in older adults? Is semantic processing, operationalized through the imageability of the pseudo-words, preserved in older adults?

2. Experiment

In this experiment, we assess, in a sample of university students and a sample of older adults, the interference generated by pseudo-words made up of real morphemes in comparison to pseudo-words without this morphological composition. The role of the semantic imageability of complex pseudo-words is also explored. In the specific case of older adults, we also explore the role of age, cognitive reserve, and cognitive status in relation to the experimental effect assessed.

3. Method

3.1. Participants

The young adult sample comprised 27 university students (23 women) aged between 20 and 29, from the Complutense University of Madrid, who participated in the experiment in exchange for course credits. All participants had normal or corrected-to-normal vision.

The older adult participants were recruited from three different daycare centers of similar sociodemographic status. Two of the centers were located in the city of Madrid and one in the region of Castilla-La Mancha. All three centers were situated in medium socioeconomic status neighborhoods. The directors of the day centers were given information about the study and gave their consent for us to contact the older adults. They also gave their permission for the placement of informative posters about the study. Individuals willing to participate in the study were requested to sign a consent form. After 2 weeks, we obtained informed consent from a total of 92 patients (41 from Center 1, 16 from Center 2, and 35 from Center 3). The study was then conducted with these 92 participants (75 women and 17 men). Mean age was 74 (SD = 7.6). All participants were native Spanish speakers and spoke no other language.

A further 30 volunteers, students at the University Complutense of Madrid, rated the ‘wordlikeness’ of pseudo-words on a seven-point scale to enable further analyses considering this factor. These participants were individually required to complete an excel sheet with the pseudo-words in a random order and were asked to score every pseudo-word from 1 to 7 in accordance with the imageability they thought these stimuli had (1 very low imageability to 7 very high imageability). Two pseudo-words not included in the experimental set were used as examples to make the score method to these participants.

3.2. Instruments

The following materials were administered to all participants in the older adult group:

(i) The Cognitive Reserve Questionnaire designed by Rami et al. (Reference Rami, Valls-Pedret, Bartrés-Faz, Caprile, Solé-Padullés and Castellví2011), which comprises eight items measuring (1) educational level; (2) parental educational level; (3) other training courses undertaken; (4) work qualifications; (5) musical education; (6) languages spoken; (7) reading activity; and (8) participation in intellectually challenging games. The items are scored numerically on scales from 0 to 2 (Items 2, 5, and 8), 0 to 3 (Items 3 and 6), 0 to 4 (Items 4 and 7), and 0 to 5 (Item 1). The scores are summed to obtain an overall score on Cognitive Reserve over 25. The original study did not explicitly report its reliability, but the Spanish-speaking scientific community has considered it to have adequate face and content validity. Recently, Martino et al. (Reference Martino, Cervigni, Caycho-Rodríguez, Valencia and Politis2021) have shown acceptable reliability for research use of the instrument (ωNL = 0.72) and indications of concurrent validity with the Montreal Cognitive Assessment (MoCA; r = 0.4, p < 0.001). The Cognitive Reserve Questionnaire has been successfully used in the study of language skills in older adults (López-Higes et al., Reference Longtin and Meunier2013). Table 1 shows the overall scores on this questionnaire.

Table 1. Results for participants’ scores on each test

Abbreviations: GDS, Geriatric Depression Scale; MoCA, Montreal Cognitive Assessment.

(ii) The MoCA (Nasreddine et al., Reference Nasreddine, Phillips, Bédirian, Charbonneau, Whitehead and Collin2005) is a screening assessment for examining general mental status that uses basic forms of widely validated neuropsychological tests to measure six cognitive domains. It is scored out of 30 points, and one point is added to correct for individuals with 12 years or less education. The first validation study in Spain showed a cut-off point of 21 points. (Ojeda et al., Reference Ojeda, Del Pino, Ibarretxe-Bilbao, Schretlen and Peña2016). Delgado et al. (Reference Delgado, Araneda and Behrens2019) showed good internal consistency (Cronbach’s alpha = 0.772), very good inter-rater reliability (Spearman correlation coefficient = 0.846, p < 0.01), and optimal intra-rater (retest) reliability (r = 0.922, p < 0.001). The test is effective and valid for the detection of amnestic mild cognitive impairment (ABC = 0.903) and dementia (ABC = 0.957). The best-performing cut-off point for mild cognitive impairment was, again, 21 points, and 20 points for dementia, with a sensitivity/specificity of 75/82% and 90/86%, respectively. Table 1 shows the overall results for this test.

(iii) The short form of the Geriatric Depression Scale (GDS-15; Sheikh & Yesavage, Reference Sheikh, Yesavage and Brink1986) comprises 15 items that assess the presence of depressive symptoms in older people. The score on this scale was used as an exclusion criterion. Participants who scored nine or more points were excluded from the sample (n = 4) to avoid the effect of possible emotional disorders on the process of cognitive impairment (Richard et al., Reference Richard, Reitz, Honig, Schupf, Tang and Manly2013). The validation study of the Spanish version (Martínez de la Iglesia et al., Reference Martínez de la Iglesia, Onís, Dueñas, Albert, Aguado and Luque2012) showed and interobserver and an intra-observer reliability of weighted Kappa = 0.655 (p < 0.001) and 0.951 (p < 0.001), respectively. Internal consistency reached Cronbach´s alpha = 0.994. Convergent validity reached a Spearman correlation coefficient = 0.618 (p < 0.001) when comparing the GDS with another depression questionnaire, and discriminant validity was confirmed by a low Spearman correlation = 0.235 (p < 0.001) between the GDS and a cognitive screening task. Table 1 shows the overall results on this test.

All of the questionnaires were administered in accordance with their respective instruction manuals.

3.3. Stimuli

One hundred and sixty stimuli were created. Half were words and the other half pseudo-words. Of the 80 pseudo-words, 40 had both an existing stem and an existing derivational suffix (aceitista). The stems did not constitute free stems, that is, there were no words by themselves (‘aceit’ is the base for the pseudo-word ‘aceitista’, but it needs an ‘e’ to constitute the real word ‘aceite’ ‘oil’). The other half had no morphological composition whatsoever (acestefa). The first syllable of complex and simple pseudo-words was paired one by one to ensure no role for the syllable frequency. Letter length was also controlled (mean 8.3 vs. 8.2, SD 0.8 vs. 0.6) as well as neighborhood density (this being zero). All linguistic measures were collected from the electronic EsPal database by Duchon et al. (Reference Duchon, Perea, Sebastián-Gallés, Martí and Carreiras2013)).

With regard to the words, half were polymorphemic, whereas the other half were monomorphemic (see the Appendix).

3.4. Procedure

A lexical decision task was conducted. The experiment was programmed using the DMDX software package (Forster & Forster, Reference Forster and Forster2003). Participants were instructed to judge as quickly as possible whether the presented letter strings were real words or not, while avoiding errors. Participants sat about 50 cm from a laptop screen in a quiet room. The screen showed a fixation point ‘+’ for 1 s, followed by a word or nonword target for 1.5 s for young adults and 4 s for older adults or until participants responded. After a response or time out, a blank screen was displayed for 500 ms. The order of presentation of the stimuli was randomized.

Prior to the experiment, 10 trials were presented in this same manner. None of these stimuli presented in this training session was used in the experiment.

4. Data analysis

We performed three different analyses. In the first analysis, we examined the interference effect generated by suffixes of complex pseudo-words by comparing the latencies and errors rates of young and older adults. In the second analysis, we explored the role of imageability in the same age groups. Lastly, in the third analysis, we focused on older adults and explored the role of age, cognitive reserve, and cognitive status.

The latency analysis was applied to 27 young adults (2,160 observations) and 92 older adults (7,360 observations) and 80 items. Before the latency analysis is carried out, we eliminated observed errors (19.17% (414 observations) for young adults and 26.41% (1,944 observations) for older adults) and correct response latencies below 200 ms (0 observations) for young adults and 0.2% (15 observations) for older adults.

In the first analysis, the response latencies were analyzed using linear mixed-effects (LMEs) models in R (version 4.1.0 (2021-05-18), R Development Core Team) using the lme4 package (version 1.1-27.1; Bates et al., Reference Bates, Mächler, Bolker and Walker2015). We fit the maximal random effects model (Barr et al., Reference Barr, Levy, Scheepers and Tily2013) with Age (young/old adults; sum coded: −1, 1) and PseudowordType (complex/simple; sum coded: −1, 1) as fixed effects; random intercepts for participants and items and random slopes by PseudowordType for participants as random effects, with log latencies to comply with the requirement of normality of model residuals. The errors were analyzed using mixed logistic regression model. 1

The p-values of the inferences on the parameters of the model were obtained using the lmerTest package (version 3.1-3; Kuznetsova et al., Reference Kuznetsova, Brockhoff and Christensen2017) with Satterthwaite approximation for degrees of freedom.

The imageability factor was not incorporated into the model because the differences between the scores on simple pseudo-words (mean = 1.04) and complex (mean = 2.6) were significant (t(29) = 10, p < 0.001), and hence the imageability factor could be confounded with the pseudo-word type if they were incorporated into the model in conjunction. To avoid this, we conducted the analysis separately, subsequently finding the specific effect of imageability on the processing of complex pseudo-words.

The imageability effect was analyzed in the second analysis only for complex pseudo-words using LME, with Age (young/old; sum coded: −1, 1) and Imageability (mean centered) as fixed effects, and random intercepts for participants and items as random effects.

For the third analysis, we initially examined a model with four fixed effects: two continuous variables and two categorical variables. The two continuous variables were Age (mean centered) and Cognitive Reserve (cogRes, mean centered); the categorical variable was PseudowordType with two levels (complex/simple; sum coded: −1, 1), and General Cognitive Status (MoCa) with two levels (low/high, with ‘high’ implying MoCa > 21 and ‘low’, MoCa < 21; sum coded: −1, 1). First, we fit a model with these four factors, and all the 2-, 3-, and 4-level interactions as fixed effects and random intercepts for participants and items and random slopes by PseudowordType for participants as random effects. As there were no significant interactions with Age, we subsequently analyzed a model with Age as additive effect. We report the result of this model. We used log latencies to meet the requirements of normality for the model residuals.

5. Results

The results show a main effect of PseudowordType (t = −5.947, p < 0.001), by which simple pseudo-words elicited faster responses than complex pseudo-words. There is also a main effect of Age (t = 10.259, p < 0.001), showing faster responses for young adults than for older adults. Interestingly, there is no interaction between these variables (t = −0.078, p = 0.938), thus showing that the morphological effect explored is not reduced in older adults (see Fig. 1).

Fig. 1. PseudowordType × Age interaction.

With regard to the error rates, the results show a main effect of PseudowordType (z = −11.891, p < 0.001), by which complex pseudo-words elicited more errors than simple pseudo-words. There is a lack of significance for Age (z = 1.527, p = 0.127), as well as for the interaction between the variables (z = 0.584, p = 0.559; see Table 2).

Table 2. Mean response latencies and errors for PseudowordType

Note: RT (ms) and errors (%) in parentheses.

In the second analysis, the results revealed no effect of Imageability on response latency (t = 1.577, p = 0.115), but an unsurprising significant effect of Age (t = 6.492, p < 0.001). The interaction did not reach significance (t = −1.577, p = 0.115).

In the analysis of error rates, the effect of imageability was not significant (z = −0.026, p = 0.978), nor the effect of Age (z = 0.480, p = 0.631) as well as the interaction (z = 0.026, p = 0.978).

In the analyses of older adults, the effect of MoCA was marginally significant (t = −1.805, p = 0.074); participants with high MoCA scores responded faster than participants with low MoCA scores. The effect of cogRes was significant (t = −3.436, p < 0.001), with higher cogRes scores resulting in faster responses. The effect of PseudowordType was significant (t = −5.977, p < 0.001). Complex pseudo-words required longer response latencies than the simple ones. The double interaction cogRes PseudowordType was significant (t = −2.976, p = 0.004). No other interaction was significant (see Fig. 2).

Fig. 2. PseudowordType × Cognitive Reserve interaction.

In the error analysis, we found a significant effect of Age (z = 2.086, p = 0.037), showing more errors for older adults. We also found a significant effect of MoCA (z = −4.038, p < 0.001), by which participants with higher scores presented fewer errors than those with lower scores. Furthermore, the effect of PseudowordType was also significant (z = −11.219, p < 0.001), showing that more errors were made in the lexical decision task on complex pseudo-words than on simple ones. None of the interactions were significant.

6. Discussion

In this study, we carried out an unprimed lexical decision tasks with young and older adults. Previous studies with young adults have reported that complex pseudo-words (made up of stems and derivational suffixes) generate more false positives and require more time to be responded to than simple pseudo-words (a pseudo-word with no morpheme at all; e.g., Burani et al., Reference Burani, Marcolini, De Luca and Zoccolotti1999; Crepaldi, Rastle, & Davis, Reference Crepaldi, Rastle and Davis2010; Dawson, Rastle, & Ricketts, Reference Dawson, Rastle and Ricketts2018). By making use of this kind of pseudo-word in this experiment, we aimed to explore morphological processing in older adults – since evidence in this regard is very scarce (see, however, Duñabeitia et al., Reference Duñabeitia, Marín, Avilés, Perea and Carreiras2009; Reifegerste, Elin, & Clahsen, Reference Reifegerste, Elin and Clahsen2018) – as well as the role of semantics, operationalized through the imageability of the stimuli. Previous evidence has shown that, for young adults, more imageable pseudo-words require more time to be rejected than less imageable ones (Dawson, Rastle, & Ricketts, Reference Dawson, Rastle and Ricketts2018), but once again the evidence for older adults is scant.

The results of the experiment replicate previous ones showing that pseudo-words made up of morphemes take more time to be rejected – and are more error prone – than pseudo-words without this morphological appearance. This result can be interpreted, as in the previous literature, by considering that despite complex pseudo-words having no representation in the lexicon, their morphemes are activated during stimuli recognition. At a theoretical level, it is not challenging to explain how a complex word can activate its base. However, the evidence of complex pseudo-words activating their stems is limited and is restricted to priming studies (e.g., Hasenäcker, Beyersman, & Schroeder, Reference Hasenäcker, Beyersman and Schroeder2016; Morris et al., Reference Morris, Porter, Grainger and Holcomb2010; Longtin & Meunier, Reference López-Higes, Rubio-Valdehita, Prados and Galindo2005). In the case of complex pseudo-words, lexical activation cannot be suggested, since pseudo-words are not represented at this level, so the explanation seems to be more reasonable in terms of orthographic or morphological activation at the sublexical (e.g., Lázaro, Illera, & Sainz, Reference Lázaro, Illera and Sainz2018) or lemma level (Taft & Nguyen-Hoan, Reference Taft and Nguyen-Hoan2010). For instance, in the lemma level, Taft & Nguyen-Hoan (Reference Taft and Nguyen-Hoan2010) found that the orthographic processing of the input, word, or pseudo-word detects the letters that constitute stems and derivational suffixes. From this orthographic processing, the lemmas for the stems and the suffixes are activated, and from these lemmas, the activation reaches the semantic level, although in the case of pseudo-words no lemmas are activated, but only for the morphemes they are made up of – stems and derivational suffixes.

Importantly, the results of our experiment also show that the magnitude of the morphological effect is not reduced in older adults in comparison to younger ones. Therefore, our results suggest that morphological processing is preserved in aging (e.g., Duñabeitia et al., Reference Duñabeitia, Marín, Avilés, Perea and Carreiras2009; Royle et al., Reference Royle, Steinhauer, Dessureault, Herbay and Brambati2019) which was one of the goals of this study. Consequently, we interpret that our results strongly suggest that morphological processing is unaltered in normal aging.

The results also reveal the influence of imageability of the pseudo-words. In the case of the simple pseudo-words, our external evaluators gave them a mean score of 1.04 on a scale from 1 to 5, indicating that, in their view, they are practically uninterpretable. The case of the complex pseudo-words is, however, different, since the mean score awarded was 2.6 over 5, which suggests a certain degree of imageability. Thus, it can be affirmed that the complex pseudo-words are more interpretable than their simple counterparts. This fact complicates the simultaneous statistical analysis of the variables of morphological composition and imageability, so we opted for an analysis of the effect of imageability restricted to the case of complex pseudo-words. Our results showing a significant effect of imageability in the error rates not only suggest that the task of rejecting complex pseudo-words involves sublexical activation of morphemes, but also that this activation is extended to the semantic level, as we have already explained, following the model by Taft & Nguyen-Hoan (Reference Taft and Nguyen-Hoan2010) (see also Bölte, Schulz, & Dobel, Reference Bölte, Schulz and Dobel2010, or Levy, Haggort, & Dèmonet, Reference Levy, Haggort and Dèmonet2014, for MEG studies related to morphological and semantic processing). Semantic activation is not incompatible with morphological activation, but is arguably the result of the latter type of activation, since semantic activation might be a direct consequence of the activation of morphemes at a lower level (e.g., Longtin, Segui, & Halle, Reference Longtin, Segui and Halle2003; Rastle, Davis, & New, Reference Rastle, Davis and New2004). Thus, we interpret that during the processing of complex pseudo-words, morphemes are first activated (generating the interference by which complex pseudo-words are less easily rejected than simple pseudo-words) and subsequently the semantic representation of these morphemes and even of the possible activated lexical candidates occurs. It is true, however, that semantic activation might precede the activation of morphemes (e.g., Giraudo & Grainger, Reference Giraudo, Grainger, Assink and Sandra2003), although this possibility has recently received a little support in the literature. Our results cannot deny this possibility, but our data are clear in highlighting that both morphemic and semantic influence play a role in the results obtained. The task of rejecting complex pseudo-words is thus morpho-semantic in nature and can therefore be affected in certain kinds of dementia. This would be of great significance for clinicians. Does this imageability effect exist in patients diagnosed with Alzheimer’s disease? What occurs in patients with semantic dementia? These are open questions for future research.

In addition, the results for older adults reveal that individuals with high scores on the MoCA and cogRes respond more quickly on the task than those with lower scores. The effect of MoCA was also significant in the error analysis, showing that participants with higher cognitive status committed fewer errors than participants scoring lower. Furthermore, the results in the response latencies show a significant interaction between cogRes and PseudowordType. As can be seen in Fig. 2, this interaction shows that the morphological effect (the difference between latencies of simple and complex pseudo-words) is larger for participants with high cognitive reserve than for participants with low cognitive reserve. From this result, we interpret that the larger effect for participants with higher cognitive reserve reflects better functioning than for participants with lower cognitive reserve. In other words, the results seem to suggest that the higher the cognitive reserve, the greater is an individual’s ability on the task. In our view, these results reflect that cognitive reserve provides more than a general approach to cognitive efficiency, because it also affects language processing itself (Montemurro, Jarema, & Mondini, Reference Montemurro, Mondini, Crovace and Jarema2021; Opdebeeck, Martyr, & Clare, Reference Opdebeeck, Martyr and Clare2016).

Importantly, the lack of interaction between age and cognitive status with PseudowordType reinforces the idea that morphological processing is preserved in aging, as already highlighted. The fact that the morphological effect explored appears in participants with low cognitive status (see Table 1) points to the preservation of morphological processing, as the lack of interaction for Group × PseudowordType suggested. Therefore, our data indicate that older adults are sensitive to morphological composition of complex pseudo-words and that this effect is modulated by their cognitive reserve.

7. Conclusions and limitations of the study

The results of this study show that older adults perform morphological processing of complex stimuli in the same way as young adults do (see Duñabeitia et al., Reference Duñabeitia, Marín, Avilés, Perea and Carreiras2009, or Royle et al., Reference Royle, Steinhauer, Dessureault, Herbay and Brambati2019). For this reason, the interference of real stems and real suffixes in rejecting pseudo-words as possible words in a lexical decision task is present in older adults as it is in young adults.

The results further show that this is true even in a group in which there are participants scoring low on the MoCA and cognitive reserve. Our interpretation is that these results evidence preserved morphological processing in aging. Nevertheless, it does not mean that the effect is the same for every participant, or that it is independent of cognitive functioning. Our data suggest that the ability to process morphemes is related to cognitive reserve (see Stern et al., Reference Stern, Zarahn, Hilton, Flynn, De La Paz and Rakitin2003). We believe that our results underpin future research with the participation of persons in the early stages of dementia in order to assess and further explore whether morphological processing is preserved in these persons. This is in fact one of the limitations of the study, that is, the lack of a group of participants with dementia to compare with the healthy older participants. We expect that our data supporting morphological processing preservation in older adults will not hold for persons with dementia, but specific evidence is clearly required.

Data availability statement

We offer full access to the R code used as well as to the raw data collected through this link https://figshare.com/s/ece8fa16950f01a54587.

Appendix. Experiment stimuli

Footnotes

1 R packages version numbers used for the present analysis: tidyverse 1.3.1, plyr 1.8.6, lme4 1.1-27.1, lmerTest 3.1-3, Hmisc 4.5-0, effects 4.2-0, and devtools 2.4.3.

References

Amenta, S. & Crepaldi, D. (2012). Morphological processing as we know it: An analytical review of morphological effects in visual word identification. Frontiers in Psychology 3, 112.CrossRefGoogle ScholarPubMed
Auclair-Ouellet, N., Fossardc, M., Laforce, R., Biere, N. & Macoir, J. (2016). Conception or *conceivation? The processing of derivational morphology in semantic dementia. Aphasiology 31(2), 166–88. https://doi.org/10.1080/02687038.2016.1168918Google Scholar
Barr, D. J., Levy, R., Scheepers, C. & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language 68(3), 255–78.CrossRefGoogle ScholarPubMed
Bates, D., Mächler, M., Bolker, B. & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67(1), 148. https://doi.org/10.18637/jss.v067.i01CrossRefGoogle Scholar
Beyersman, E., Mousikou, P., Javourey, L., Schroeder, S., Ziegler, J. & Grainger, J. (2020). Morphological processing across modalities and languages. Scientific Journal of Reading 24, 500–19. https://doi.org/10.1080/108884338.2020.1730847Google Scholar
Bölte, J., Schulz, C. & Dobel, C. (2010). Processing of existing, synonymous, and anomalous German derived adjectives: An MEG study. Neuroscience Letters 469, 107–11.CrossRefGoogle ScholarPubMed
Booij, G. (2002). The morphology of Dutch. Oxford: Oxford University Press.Google Scholar
Burani, C., Dovetto, F., Spuntarelli, A. & Thornton, A. (1999). Morpholexical access and naming: The semantic interpretability of new root–suffix combinations. Brain and Language 68, 333–9.CrossRefGoogle ScholarPubMed
Burani, C., Marcolini, S., De Luca, M. & Zoccolotti, P. (2008). Morpheme-based reading aloud: Evidence from dyslexic and skilled Italian readers. Cognition 108, 243–62.CrossRefGoogle ScholarPubMed
Caramazza, A., Laudanna, A. & Romani, C. (1988). Lexical access and inflectional morphology. Cognition 28, 297332. https://doi.org/10.1016/0010-0277(88)90017-0CrossRefGoogle ScholarPubMed
Carden, J., Barreyro, J., Segui, J. & Jaichenco, V. (2019). The fundamental role of position in affix identity Positional constraints on the identification of prefixes and suffixes in Spanish. The Mental Lexicon 14, 357–80. https://doi.org/10.1075/ml.19009.carCrossRefGoogle Scholar
Chuang, Y., Vollmer, M. L., Shafaei-Bajestan, E., Gahl, S., Hendrix, P. & Baayen, H. (2020). The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning. Behaviour Research Methods 53, 945–76. https://doi.org/10.3758/s13428-020-01356-wCrossRefGoogle Scholar
Crepaldi, D., Rastle, K. & Davis, C. J. (2010). Morphemes in their place: Evidence for position-specific identification of suffixes. Memory & Cognition 38, 312–21. https://doi.org/10.3758/MC.38.3.312CrossRefGoogle ScholarPubMed
Dawson, N., Rastle, K. & Ricketts, J. (2018). Morphological effects in visual word recognition: Children, adolescents, and adults. Journal of Experimental Psychology: Learning, Memory, and Cognition 44(4), 545654. http://doi.org/10.1037/xlm0000485Google Scholar
De Groot, A. (1989). Representational aspects of word imageability and word frequency as assessed through word association. Journal of Experimental Psychology: Learning, Memory and Cognition 15, 824–45.Google Scholar
Delgado, C., Araneda, A., & Behrens, M. I. (2019). Validación del instrumento Montreal Cognitive Assessment en español en adultos mayores de 60 años [Validation of the Montreal Cognitive Assessment in Spanish adults above 60 years]. Neurología, 34, 376385. https://doi.org/10.1016/j.nrl.2017.01.013.CrossRefGoogle Scholar
Diependaele, K., Sandra, D. & Grainger, J. (2005). Masked cross-modal morphological priming: Unravelling morpho-orthographic and morpho-semantic influences in early word recognition. Language and Cognitive Processes 20(1), 75114. https://doi.org/10.1080/01690960444000197CrossRefGoogle Scholar
Duchon, A., Perea, M., Sebastián-Gallés, N., Martí, A. & Carreiras, M. (2013). EsPal: One-stop shopping for Spanish word properties. Behavior Research Methods 45, 1246–58.CrossRefGoogle ScholarPubMed
Duñabeitia, J. A., Marín, A., Avilés, A., Perea, M. & Carreiras, M. (2009). Constituent priming effects: Evidence for preserved morphological processing in healthy old readers. European Journal of Cognitive Psychology 21, 283302. https://doi.org/10.1080/09541440802281142.CrossRefGoogle Scholar
Feldman, L. B., O’Connor, P. A. & Moscoso del Prado Martín, F. (2009). Early morphological processing is morphosemantic and not simply morpho-orthographic: A violation of form then-meaning accounts of word recognition. Psychonomic Bulletin & Review 16, 684–91.CrossRefGoogle Scholar
Forster, K. & Forster, J. (2003). DMDX: A windows display program with millisecond accuracy. Behavior Research Methods, Instruments, & Computers 35(1), 116–24.CrossRefGoogle ScholarPubMed
Giraudo, H. & Grainger, J. (2003). A supralexical model for French derivational morphology. In Assink, E. M. H. & Sandra, D. (eds), Reading complex words. Neuropsychology and Cognition. Boston: Springer.Google Scholar
Gold, B. T. & Rastle, K. (2007). Neural correlates of morphological decomposition during visual word recognition. Journal of Cognitive Neuroscience 19, 1983–93.CrossRefGoogle ScholarPubMed
Hasenäcker, J., Beyersman, E. & Schroeder, S. (2016). Masked morphological priming in German speaking adults and children: Evidence from response time distributions. Frontiers in Psychology 39, 198222. https://doi.org/103389/fpsyg.2016.00929Google Scholar
Kavé, G., Heinik, J. & Biran, I. (2012). Preserved morphological processing in semantic dementia. Cognitive Neuropsychology 29, 550–68. https://doi.org/10.1080/02643294.2012.759097CrossRefGoogle ScholarPubMed
Kuznetsova, A., Brockhoff, P. B. & Christensen, R. H. B. (2017). lmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software, 82(13), 126. https://doi.org/10.18637/jss.v082.i13CrossRefGoogle Scholar
Lázaro, M., Acha, J., de la Rosa, S., García, S. & Sainz, J. (2017). Exploring the derivative suffix frequency effect in Spanish speaking children. Reading and Writing, 30, 163185.CrossRefGoogle Scholar
Lázaro, M., Acha, J., Illera, V., García, S., Escalonilla, A. & Sainz, J. (2018). Morphological effects in word identification: Tracking the developmental trajectory of derivational suffixes in Spanish. Reading and Writing 31, 1669–84. https://doi.org/10.1007/s11145-018-9858-1CrossRefGoogle Scholar
Lázaro, M., García, L. & Illera, V. (2021). Morpho-orthographic segmentation of opaque and transparent derived words: New evidence for Spanish. Quarterly Journal of Experimental Psychology 74(5), 944–54. https://doi.org/10.1177/1747021820977038CrossRefGoogle ScholarPubMed
Lázaro, M., Illera, V. & Sainz, J. (2018). Priming effects in the recognition of simple and complex words and pseudowords. Psicológica 40, 5781. https://doi.org/10.2478/psicolj-2018-0009Google Scholar
Lázaro, M., Sainz, J. & Illera, V. (2015). The role of derivative suffix productivity in the visual word recognition of complex words. Psicológica 36, 165–84.Google Scholar
Levy, J., Haggort, P. & Dèmonet, F. F. (2014). A neuronal gamma oscillatory signature during morphological unification in the left occipitotemporal junction. Human Brain Mapping 35, 5847–60.CrossRefGoogle ScholarPubMed
Longtin, C-M. & Meunier, F. (2005). Morphological decomposition in early visual word processing. Journal of Memory and Language 53, 2641. https://doi.org/10.1016/j.jml.2005.02.008CrossRefGoogle Scholar
Longtin, C. M., Segui, J. & Halle, P. (2003). Morphological priming without morphological relationship. Language and Cognitive Processes 18(3), 313–34. https://doi.org/10.1080/01690960244000036CrossRefGoogle Scholar
López-Higes, R., Rubio-Valdehita, S., Prados, J. M. & Galindo, M. (2013). Cognitive reserve and linguistic skills in healthy elderly persons. Revista de Neurología 57, 97102. https://doi.org/10.33588/rn.5703.2013120Google ScholarPubMed
Mann, V. & Singson, M. (2003). Linking morphological knowledge to English decoding ability: Large effects of little suffixes. In Assink, E. M. H. & Sandra, D. (eds), Reading complex words: Cross-language studies, 125. New York: Kluwer Academic/Plenum Press.Google Scholar
Martínez de la Iglesia, J., Onís, M.C., Dueñas, R., Albert, C., Aguado, C., & Luque, D (2012). Versión española del cuestionario de Yesavage abreviado (GDS) para el despistaje de depresión en mayores de 65 años [Spanish version of the short Yesavage questionnaire for depression screening in adults above 65 years]. Medifam, 12, 620630.Google Scholar
Martino, P., Cervigni, M., Caycho-Rodríguez, T., Valencia, P. & Politis, D. (2021). Cognitive reserve questionnaire: The psychometric properties in an Argentinian population. Revista de Neurología 76, 194200. https://doi.org/10.33588/rn.7306.2021200CrossRefGoogle Scholar
Mondini, S., Madella, I., Zangrossi, A., Bigolin, A., Tomasi, C., Michieletto, M., et al. (2016). Cognitive reserve in dementia: Implications for cognitive training. Frontiers in Aging Neuroscience 8, 84. https://doi.org/10.3389/fnagi.2016.00084CrossRefGoogle ScholarPubMed
Montemurro, S., Jarema, G. & Mondini, S. (2021). Cognitive reserve and language processing demand in healthy older adults. Language, Cognition and Neuroscience 36, 758–72. https://doi.org/10.1080/23273798.2021.1896012CrossRefGoogle Scholar
Montemurro, S., Mondini, S., Crovace, C. & Jarema, G. (2019). Cognitive reserve and its effect in older adults on retrieval of proper names, logo names and common nouns. Frontiers in Communication 4, 14. https://doi.org/10.3389/fcomm.2019.00014CrossRefGoogle Scholar
Morris, J., Porter, J., Grainger, J. & Holcomb, P. J. (2010). Effects of lexical status and morphological complexity in masked priming: An ERP study. Language and Cognitive Processes 26, 558–99. https://doi.org/10.1080/01690965.2010.495482Google Scholar
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I. et al. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society 53, 695–9. https://doi.org/10.1111/j.1532-5415.2005.53221.xCrossRefGoogle ScholarPubMed
Nikolaev, A., Ashaie, S., Halikainen, M., Hänninen, T., Higby, E., Hyun, J. et al. (2019). Effects of morphological family on word recognition in normal aging, mild cognitive impairment, and Alzheimer’s disease. Cortex 116, 91103. https://doi.org/10.1016/j.cortex.2018.10.028CrossRefGoogle ScholarPubMed
Ojeda, N., Del Pino, R., Ibarretxe-Bilbao, N., Schretlen, D. J. & Peña, J. (2016). Test de evaluación cognitiva de Montreal: Normalización y estandarización de la prueba en población Española [Montreal cognitive assessment: Standarization in Spanish population]. Revista de Neurología 63, 488–96.Google Scholar
Opdebeeck, C., Martyr, A. & Clare, L. (2016). Cognitive reserve and cognitive function in healthy older people: A meta-analysis. Aging, Neuropsychology, and Cognition 23, 4060. https://doi.org/10.1080/13825585.2015.1041450CrossRefGoogle ScholarPubMed
Quémart, P., Casalis, S. & Duncan, L. (2012). Exploring the role of bases and suffixes when reading familiar and unfamiliar words: Evidence from French young readers. Scientific Studies of Reading 16(5), 424–42.CrossRefGoogle Scholar
Rami, L., Valls-Pedret, C., Bartrés-Faz, D., Caprile, C., Solé-Padullés, C., Castellví, M. et al. (2011). Cuestionario de reserva cognitiva. Valores obtenidos en población anciana sana y con enfermedad de Alzheimer [Questionnaire of cognitive reserve. Scores for healthy elderly and individuals with Alzheimer’s disease]. Revista de Neurología 52, 195201.CrossRefGoogle Scholar
Rastle, K., Davis, M. H. & New, B. (2004). The broth in my brother’s brothel: Morpho orthographic segmentation in visual word recognition. Psychonomic Bulletin & Review 11, 1090–8.CrossRefGoogle Scholar
Reifegerste, J., Elin, K. & Clahsen, H. (2018). Persistent differences between native speakers and late bilinguals: Evidence from inflectional and derivational processing in older speakers. Bilingualism: Language and Cognition 22(3), 425–40. https://doi.org/10.1017/S1366728918000615Google Scholar
Reifegerste, J., Meyer, A., Zwisterlood, P. & Ullman, M. (2021). Aging affects steaks more than knives: Evidence that the processing of words related to motor skills is relatively spared in aging. Braind and Language 218, 104941. https://doi.org/10.1016/j.bandl.2021.104941CrossRefGoogle Scholar
Rey-Debove, J. (1984). Le domaine de la morphologie lexicale [The field of lexical morphology]. Cahiers de Lexicologie 45, 319.Google Scholar
Richard, E., Reitz, C., Honig, L. H., Schupf, N., Tang, M. X., Manly, J. J. et al., (2013). Late-life depression, mild cognitive impairment, and dementia. JAMA Neurology 70(3), 374–82. https://doi.org/10.1001/jamaneurol.2013.603CrossRefGoogle Scholar
Royle, P., Steinhauer, K., Dessureault, E.,Herbay, A. & Brambati, S. (2019). Aging and language: Maintenance of morphological representations in older adults. Frontiers in Communication 4, 16. https://doi.org/10.3389/fcomm.2019.00016CrossRefGoogle Scholar
Sabsevitz, D., Medler, D., Seidenberg, M. & Binder, R. (2005). Modulation of the semantic system by word imageability. Neuroimage 27, 188200.CrossRefGoogle ScholarPubMed
Schwanenflugel, P. J. & Stowe, R. W. (1989). Context availability and the processing of abstract and concrete words in sentences. Reading Research Quarterly 24, 114–26.CrossRefGoogle Scholar
Sheikh, J. I. & Yesavage, J. A. (1986). Geriatric Depression Scale (GDS). Recent evidence and development of a shorter version. In Brink, T. L. (ed.), Clinical gerontology: A guide to assessment and intervention, 165–73. New York: The Haworth Press.Google Scholar
Smolka, E., Libben, G. & Dressler, W. U. (2019). When morphological structure overrides meaning: Evidence from German prefix and particle verbs. Language, Cognition and Neuroscience 34, 599614.CrossRefGoogle Scholar
Stern, Y., Zarahn, E., Hilton, J., Flynn, J., De La Paz, R. & Rakitin, B. (2003). Exploring the neural basis of cognitive reserve. Journal of Clinical and Experimental Neuropsychology 5, 691701.CrossRefGoogle Scholar
Taft, M. & Nguyen-Hoan, M. (2010). A sticky stick? The locus of morphological representation in the lexicon. Language and Cognitive Processes 25(2), 277–96.CrossRefGoogle Scholar
Varela, S. (1990). Fundamentos de morfología. Madrid: Síntesis.Google Scholar
Westbury, C. & Moroschan, G. (2009). Imageability x phonology interactions during lexical access. The Mental Lexicon 4, 115–45.CrossRefGoogle Scholar
Figure 0

Table 1. Results for participants’ scores on each test

Figure 1

Fig. 1. PseudowordType × Age interaction.

Figure 2

Table 2. Mean response latencies and errors for PseudowordType

Figure 3

Fig. 2. PseudowordType × Cognitive Reserve interaction.