Increase in Linguistic Complexity in Older Adults During COVID-19.

The reported psychological impact of the COVID-19 pandemic and related public health measures included a decline in cognitive functioning in older adults. Cognitive functioning is known to correlate with the lexical and syntactic complexity of an individual's linguistic productions. We examined written narratives from the CoSoWELL corpus (v 1.0), collected from over 1,000 U.S. and Canadian older adults (55+ y.o.) before and during the first year of the pandemic. We expected a decrease in the linguistic complexity of the narratives, given the oft-reported reduction in cognitive functioning associated with COVID-19. Contrary to this expectation, all measures of linguistic complexity showed a steady increase from the pre-pandemic level throughout the first year of the global lockdown. We discuss possible reasons for this boost in light of existing theories of cognition and offer a speculative link between the finding and reports of increased creativity during the pandemic.

Emotional State of Older Adults During the COVID-19 Pandemic: Insights from the Cognitive and Social Well-Being (CoSoWELL) Corpus.

OBJECTIVES: In view of the fallout of the COVID-19 pandemic, psychologists face a challenge to document the pandemic-related change in emotional well-being of individuals and groups and evaluate the emotional response to this fallout over time. METHODSP: We contribute to this goal by analyzing the new CoSoWELL corpus (version 2.0), an 1.8 million-word collection of narratives written by over 1,300 older adults (55+ y.o.) in eight sessions before, during and after the global lockdown. In the narratives, we examined a range of linguistic variables traditionally associated with emotional well-being and observed signs of distress, i.e., lower positivity and heightened levels of fear, anger, and disgust. RESULTS: In most variables, we observed a characteristic timeline of change, i.e., a delayed (by 4 months) and abrupt drop in optimism and increase in negative emotions that reached its peak about 7 months after the lockdown and returned to pre-pandemic levels one year after. Our examination of risk factors showed that higher levels of self-reported loneliness came with elevated levels of negative emotions but did not change the timeline of emotional response to the pandemic. CONCLUSIONS: We discuss implications of the findings for theories of emotion regulation.

Cognitive and social well-being in older adulthood: The CoSoWELL corpus of written life stories.

This paper presents the Cognitive and Social WELL-being (CoSoWELL) project that consists of two components. One is a large corpus of narratives written by over 1000 North American older adults (55+ years old) in five test sessions before and during the first year of the COVID-19 pandemic. The other component is a rich collection of socio-demographic data collected through a survey from the same participants. This paper introduces the first release of the corpus consisting of 1.3 million tokens and the survey data (CoSoWELL version 1.0). It also presents a series of analyses validating design decisions for creating the corpus of narratives written about personal life events that took place in the distant past, recent past (yesterday) and future, along with control narratives. We report results of computational topic modeling and linguistic analyses of the narratives in the corpus, which track the time-locked impact of the COVID-19 pandemic on the content of autobiographical memories before and during the COVID-19 pandemic. The main findings demonstrate a high validity of our analytical approach to unique narrative data and point to both the locus of topical shifts (narratives about recent past and future) and their detailed timeline. We make the CoSoWELL corpus and survey data available to researchers and discuss implications of our findings in the framework of research on aging and autobiographical memories under stress.

Personhood and aging: Exploring the written narratives of older adults as articulations of personhood in later life.

Personhood is a complex concept in gerontological research. It is often used to explore the maintenance or reconstruction of self-identity. Narrative analysis has commonly explored how the stories that older individuals living with cognitive impairment(s) produce preserve the personhood that is perceived to be threatened by cognitive decline. This article moves beyond this exploration by focusing on the experiences of aging more generally to better understand how non-cognitively impaired older adults construct personhood through narrative writing. This article uses thematic narrative analysis and argues that older adults articulate personhood through written narratives by creating coherent constructions of self. Importantly, it demonstrates that older adults are concerned with maintaining a sense of self rather than embracing changed aspects of identity in accordance with popularized conceptualizations of personhood as well as ideals of coherence and consistency promoted in successful and active aging discourses.

How representative are student convenience samples? A study of literacy and numeracy skills in 32 countries.

Psychological research, including research into adult reading, is frequently based on convenience samples of undergraduate students. This practice raises concerns about the external validity of many accepted findings. The present study seeks to determine how strong this student sampling bias is in literacy and numeracy research. We use the nationally representative cross-national data from the Programme for the International Assessment of Adult Competencies to quantify skill differences between (i) students and the general population aged 16-65, and (ii) students and age-matched non-students aged 16-25. The median effect size for the comparison (i) of literacy scores across 32 countries was d = .56, and for comparison (ii) d = .55, which exceeds the average effect size in psychological experiments (d = .40). Numeracy comparisons (i) and (ii) showed similarly strong differences. The observed differences indicate that undergraduate students are not representative of the general population nor age-matched non-students.

Valence norms for 3,600 English words collected during the COVID-19 pandemic: Effects of age and the pandemic.

The topic of affective development over the lifespan is at the forefront of psychological science. One of the intriguing findings in this area is superior emotion regulation and increased positivity in older rather than younger adults. This paper aims to contribute to the empirical base of studies on the role of affect in cognition. We report a new dataset of valence (positivity) ratings to 3,600 English words collected from North American and British English-speaking younger (below 65 years of age) and older adults (65 years of age and older) during the COVID-19 pandemic. This dataset represents a broad range of valence and a rich selection of semantic categories. Our analyses of the new data pitted against comparable pre-pandemic (2013) data from younger counterparts reveal differences in the overall distribution of valence related both to age and the psychological fallout of the pandemic. Thus, we found at the group level that older participants produced higher valence ratings overall than their younger counterparts before and especially during the pandemic. Moreover, valence ratings saw a super-linear increase after the age of 65. Together, these findings provide new evidence for emotion regulation throughout adulthood, including a novel demonstration of greater emotional resilience in older adults to the stressors of the pandemic.

Predictive keywords: Using machine learning to explain document characteristics.

When exploring the characteristics of a discourse domain associated with texts, keyword analysis is widely used in corpus linguistics. However, one of the challenges facing this method is the evaluation of the quality of the keywords. Here, we propose casting keyword analysis as a prediction problem with the goal of discriminating the texts associated with the target corpus from the reference corpus. We demonstrate that, when using linear support vector machines, this approach can be used not only to quantify the discrimination between the two corpora, but also extract keywords. To evaluate the keywords, we develop a systematic and rigorous approach anchored to the concepts of usefulness and relevance used in machine learning. The extracted keywords are compared with the recently proposed text dispersion keyness measure. We demonstrate that that our approach extracts keywords that are highly useful and linguistically relevant, capturing the characteristics of their discourse domain.

Exploring the role of lexis and grammar for the stable identification of register in an unrestricted corpus of web documents.

The Internet offers great possibilities for many scientific disciplines that utilize text data. However, the potential of online data can be limited by the lack of information on the genre or register of the documents, as register-whether a text is, e.g., a news article or a recipe-is arguably the most important predictor of linguistic variation (see Biber in Corpus Linguist Linguist Theory 8:9-37, 2012). Despite having received significant attention in recent years, the modeling of online registers has faced a number of challenges, and previous studies have presented contradictory results. In particular, these have concerned (1) the extent to which registers can be automatically identified in a large, unrestricted corpus of web documents and (2) the stability of the models, specifically the kinds of linguistic features that achieve the best performance while reflecting the registers instead of corpus idiosyncrasies. Furthermore, although the linguistic properties of registers vary importantly in a number of ways that may affect their modeling, this variation is often bypassed. In this article, we tackle these issues. We model online registers in the largest available corpus of online registers, the Corpus of Online Registers of English (CORE). Additionally, we evaluate the stability of the models towards corpus idiosyncrasies, analyze the role of different linguistic features in them, and examine how individual registers differ in these two aspects. We show that (1) competitive classification performance on a large-scale, unrestricted corpus can be achieved through a combination of lexico-grammatical features, (2) the inclusion of grammatical information improves the stability of the model, whereas many of the previously best-performing feature sets are less stable, and that (3) registers can be placed in a continuum based on the discriminative importance of lexis and grammar. These register-specific characteristics can explain the variation observed in previous studies concerning the automatic identification of online registers and the importance of different linguistic features for them. Thus, our results offer explanations for the jungle-likeness of online data and provide essential information on online registers for all studies using online data.

The Effect of Loneliness on Cognitive Functioning Among Healthy Individuals in Mid- and Late-Adulthood: Evidence From the Canadian Longitudinal Study on Aging (CLSA).

There is a consensus that loneliness correlates with an increased risk of cognitive impairment and rapid cognitive decline. However, it has yet to be determined how loneliness influences cognitively healthy aging. This study makes use of the large, nationally representative Canadian Longitudinal Study of Aging (CLSA) to address this question. Based on the baseline and first follow-up datasets collected 3 years apart (n > 20,000 healthy individuals), we found that higher perceived loneliness predicted decreased scores in the immediate recall test at baseline and in two tests of prospective memory at first follow-up 3 years after baseline. We also examined whether a single-item measurement of loneliness widely used in the field of gerontology, including CLSA, has predictive validity, i.e., can contribute to the prognosis of a future level of cognitive functioning. We found low predictive validity and low test-retest (baseline to follow-up) reliability of this measurement type. These findings impose constraints on proposed accounts of loneliness as a risk factor and methods of examining its relation to cognitive aging.

A lingering question addressed: Reading rate and most efficient listening rate are highly similar.

Is it possible that silent reading rate is the same as the most efficient listening rate? The hypothesis has been formulated in the past, but never got much traction because silent reading is almost twice as fast as typical speech. On the other hand, several studies have shown that listening comprehension retains high quality for spoken materials presented at speeds up to 275 words per minute (wpm), and a recent meta-analysis has also shown that reading rate is lower than often thought: 240-260 wpm on average. To address the question above, we ran a new study specifically comparing spontaneous silent reading rate with comprehension of speech presented at different rates within the same participants and using matched texts. We replicated the finding that listening comprehension was not hindered at the speech rate of 270 wpm but showed a steep decline at the rate of 315 wpm. Thus, the most efficient observed listening rate was on par with the spontaneous reading rate for the same texts (269 wpm on average). Therefore, we conclude that listening and reading follow the same time constraints. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Prevalence of spelling errors affects reading behavior across languages.

This cross-linguistic study investigated the impact of spelling errors on reading behavior in five languages (Chinese, English, Finnish, Greek, and Hebrew). Learning theories predict that correct and incorrect spelling alternatives (e.g., "tomorrow" and "tommorrow") provide competing cues to the sound and meaning of a word: The closer the alternatives are to each other in their frequency of occurrence, the more uncertain the reader is regarding the spelling of that word. An information-theoretic measure of entropy was used as an index of uncertainty. Based on theories of learning, we predicted that higher entropy would lead to slower recognition of words even when they are spelled correctly. This prediction was confirmed in eye-tracking sentence-reading experiments in five languages widely variable in their writing systems' phonology and morphology. Moreover, in each language, we observed a characteristic Entropy × Frequency interaction; arguably, its functional shape varied as a function of the orthographic transparency of a given written language. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Affect across adulthood: Evidence from English, Dutch, and Spanish.

Emotions play a fundamental role in language learning, use, and processing. Words denoting positivity account for a larger part of the lexicon than words denoting negativity, and they also tend to be used more frequently, a phenomenon known as positivity bias. However, language experience changes over an individual's lifetime, making the examination of the emotion-laden lexicon an important topic not only across the life span but also across languages. Furthermore, existing theories predict a range of different age-related trajectories in processing valenced words. The present study pits all of these predictions against written productions (Facebook status updates from over 20,000 users) and behavioral data from three publicly available megastudies on different languages, namely English, Dutch, and Spanish, across adulthood. The production data demonstrated an increase in positive word types and tokens with advancing age. In terms of comprehension, the results showed a uniform and consistent effect of valence across languages and cohorts based on data from a visual word recognition task. The difference in reaction times to very positive and very negative words declined with age, with responses to positive words slowing down more strongly with age than responses to negative words. We argue that the results stem from lifelong learning and emotion regulation: Advancing age is accompanied by an increased type frequency of positive words in language production, which is mirrored as a discrimination penalty in comprehension. To our knowledge, this is the first study to simultaneously target both language production and comprehension across adulthood and in a cross-linguistic perspective. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Predictors of literacy in adulthood: Evidence from 33 countries.

What makes a literate person? What leads to literacy gains and losses within and between individuals and countries? This paper provides new evidence that helps answer these questions. The present comparative analysis of literacy is based on large representative samples from the Survey of Adult Skills conducted in 33 countries, with 25-65 year old participants. We provide, for the first time, estimates of relative importance for a comprehensive set of experiential factors, motivations, incentives, parental influence, demands of workplace, and other predictors of influence. We sketch a configuration of factors that predicts an "ideal" reader, i.e., the optimal literacy performance. Moreover, we discover a pivotal role of the age effect in predicting variability between countries. Countries with the highest literacy scores are the ones where literacy decreases with age the most strongly. We discuss this finding against current accounts of aging effects, cohort effects and others. Finally, we provide methodological recommendations for experimental studies of aging in cognitive tasks like reading.

The influence of syntactic expectations on reading comprehension is malleable and strategic: An eye-tracking study of English dative alternation.

Language processing is incremental and inherently predictive. Against this theoretic backdrop, we investigated the role of upcoming structural information in the comprehension of the English dative alternation. The use of eye-tracking enabled us to examine both the time course and locus of the effect associated with (a) structural expectations based on a lifetime of experience with language, and (b) rapid adaptation of the reader to the local statistics of the experiment. We quantified (a) as a verb subcategorization bias toward dative alternatives, and (b) as distributional biases in the syntactic input during the experiment. A reliable facilitatory effect of the verb bias was only observed in the double-object datives and only in the disambiguation region of the second object. Furthermore, structural priming led to an earlier locus of the verb bias effect, suggesting an interaction between (a) and (b). Our results offer a new outlook on the utilization of syntactic expectations during reading, in conjunction with rapid adaptation to the immediate linguistic environment. We demonstrate that this utilization is both malleable and strategic. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Influencing the time and space of lexical competition: The effect of gradient foreign accentedness.

This article examines the influence of gradient foreign accentedness on lexical competition during spoken word recognition. Using native and Mandarin-accented English words ranging in degree of foreign accentedness, we investigate the effect of increased accentedness on (a) the size of the competitor space and (b) the strength and duration of competitor activation. Here, we analyze the number of misperceptions in a transcription task, as well as the time course of competitor activation in a Visual World Paradigm eye-tracking task. The transcription data show that as accentedness increases, the number of unique misperceptions increases. This indicates that greater accent strength induces the activation of many additional competitors within the competition space relative to native speech. The eye-tracking data further show that, as accentedness increases, looks to competitors (not produced in the transcription task) increase both in likelihood and duration. This indicates that greater accentedness boosts the strength of competitor activation as well as the duration of the competition process, even when comprehension is ultimately successful, suggesting strong and diffuse competition within the lexicon. The results provide evidence of changes in the underlying dynamics, which lead to the pervasive processing costs associated with foreign-accented speech that are commonly observed in behavioral data. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Perceived foreign accentedness: acoustic distances and lexical properties.

In this study, we examined speaker-dependent (acoustic) and speaker-independent (lexical) linguistic influences on perceived foreign accentedness. Accentedness ratings assigned to Chinese-accented English words were analyzed, taking accentedness as a continuum. The speaker-dependent variables were included as acoustic distances, measured in relation to typical native-speaker values. The speaker-independent variable measures were related to the properties of individual words, not influenced by the speech signal. To the best of the authors' knowledge, this represents the first attempt to examine speaker-dependent and speaker-independent variables simultaneously. The model indicated that the perception of accentedness is affected by both acoustic goodness of fit and lexical properties. The results are discussed in terms of matching variability in the input to multidimensional representations.