First Set Of Analyses Research Articles

Motion Event Similarity Judgments in One or Two Languages: An Exploration of Monolingual Speakers of English and Chinese vs. L2 Learners of English.

Languages differ systematically in how to encode a motion event. English characteristically expresses manner in verb root and path in verb particle; in Chinese, varied aspects of motion, such as manner, path and cause, can be simultaneously encoded in a verb compound. This study investigates whether typological differences, as such, influence how first and second language learners conceptualize motion events, as suggested by behavioral evidences. Specifically, the performance of Chinese learners of English, at three proficiencies, was compared to that of two groups of monolingual speakers in a triads matching task. The first set of analyses regarding categorisation preferences indicates that participants across groups preferred the path-matched (rather than manner-matched) screens. However, the second set of analyses regarding reaction time suggests, firstly, that English monolingual speakers reacted significantly more quickly in selecting the manner-matched scenes compared with monolingual speakers of Chinese, who tended to use an approximately equal amount of time in making manner- and path-matched decisions, a finding that can arguably be mapped onto the typological difference between the two languages. Secondly, the pattern of response latency in low-level L2 learners looked more like that of monolingual speakers of Chinese. Only at intermediate and advanced levels of acquisition did the behavioral pattern of L2 learners become target-like, thus suggesting language-specific constraints from the L1 at an early stage of acquisition. Overall, our results suggest that motion event cognition may be linked to, among other things, the linguistic structure of motion description in particular languages.

Earthquake effects: Estimating the relationship between exposure to the 2010 Chilean earthquake and preschool children’s early cognitive and executive function skills

Little is known about how the experience of an earthquake affects young children's cognitive outcomes. On February 27, 2010, a severe earthquake shook southern Chile. The earthquake occurred during the course of a large-scale evaluation of an early childhood education intervention (child average age=53 months) in Santiago, such that one cohort of children (n=698) experienced baseline data collection 3–12 weeks after the earthquake occurred, while a different cohort of children (n=720) did not. In this paper, we used these available evaluation data to conduct two sets of analyses that explore the relationship between preschool children’s exposure to the 2010 Chilean earthquake and their early language, pre-literacy, mathematics and executive function outcomes. In the first set of analyses, we employed a propensity score analysis to estimate the short-term effect of the earthquake on preschool- aged children’s early learning and executive function outcomes. Results suggest that children who experienced the earthquake had lower scores on some early language and pre-literacy assessments than those who did not, with effect sizes of approximately 20% of a standard deviation. Results from the second set of analyses suggest that among the families who experienced the earthquake, children whose parents reported more earthquake- related stressors performed significantly lower on some early language and pre-literacy outcomes. Implications of these findings for disaster relief efforts and future research are discussed.

A longitudinal study of depression and gestational diabetes in pregnancy and the postpartum period.

Depression and glucose intolerance commonly co-occur among non-pregnant individuals; however, the temporal relationship between gestational diabetes (GDM) and depression during pregnancy and the postpartum period is less understood. Our objective was to assess longitudinal associations between depression early in pregnancy and GDM risk, as well as GDM and subsequent risk of postpartum depression. Data came from the prospective National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort (2009-2013), and had been collected at 12 US clinical centres. Pregnant women without psychiatric disorders, diabetes or other chronic conditions before pregnancy were followed throughout pregnancy (n = 2477). Only women with GDM and matched controls were followed up at 6weeks postpartum (n = 162). GDM was ascertained by a review of the medical records. Depression was assessed in the first (8-13 gestational weeks) and second (16-22weeks) trimesters and at 6weeks postpartum using the Edinburgh Postnatal Depression Scale. Postpartum depression was defined as a depressive symptom score ≥10 or antidepressant medicine use after delivery. RR and 95% CI were adjusted for pre-pregnancy BMI and other risk factors. GDM was considered to be the outcome for the first set of analyses, with depression in the first and second trimesters as the exposures. Postpartum depression was considered as the outcome for the second set of analyses, with GDM as the exposure. Overall, comparing the highest and lowest quartiles of first-trimester depression scores, the scores from the highest quartile were associated with a significant twofold (95% CI 1.06, 3.78) increased risk of GDM, but this was attenuated to 1.72-fold (95% CI 0.92, 3.23) after adjustment; the second-trimester results were similar. The risk was stronger and significant in both trimesters among non-obese women (p for trend 0.02 and 0.01, respectively), but null for obese women. Women with persistently high depression scores in both trimesters had the greatest risk of GDM (highest vs lowest quartile in both trimesters: adjusted RR 3.21, 95% CI 1.00, 10.28). GDM was associated with an adjusted 4.62-fold (95% CI 1.26, 16.98) increased risk of subsequent postpartum depression. This prospective study demonstrates a modest association between depressive symptoms early in pregnancy and an increased risk of incident GDM, as well as between GDM and subsequent postpartum depression risk, highlighting pregnancy and the postpartum period as an important susceptible time window during the life course for the interplay between depression and glucose intolerance phenotypes. GDM risk associated with elevated depressive symptoms was particularly high among non-obese women and women with symptoms persisting across the first two trimesters of pregnancy.

Sunk Costs, Firm Heterogeneity, Export Market Entry and Exit: Evidence from India

This paper analyses the role of sunk costs and firm heterogeneity in firm decision to enter and exit export markets. Employing rich firm-level data on Indian manufacturing firms, the study points out that sunk costs in terms of previous export experience significantly explain entry and exit decisions of firms in the export market. The first set of analysis involves estimation of dynamic discrete choice model using random effects probit correcting for initial conditions problem. We find evidence that previous export experience (sunk costs) matters for export decision. However, importance of sunk costs is found to depreciate rapidly. Further, analysis across sub-sample of firms accounting for firm heterogeneity factors like size and product level information supports the hypothesis of sunk costs. Second set of analysis involving firm survival in export markets using discrete-time hazard models shows evidence of negative duration dependence. We observe that those firms which continue to export for few years are less likely to exit from export markets.

Assessing the efficiency of secondary schools in Chile: a data envelopment analysis

Purpose The purpose of this paper was to evaluate the efficiency of secondary education schools in Chile. Since the early 1980s, several educational reforms have been passed with the main objective of improving the quality, equity and efficiency of the Chilean education system. This has initiated a debate about the efficient use of public educational resources. In response, this study provides insights into identifying the most efficient types of schools based on a set of different inputs and outputs. Design/methodology/approach This quantitative research study used data envelopment analysis (DEA), which estimates a single index of efficiency to identify schools performing at superior levels compared to other schools with similar characteristics. Two sets of models are created for evaluating efficiency. The first set of analyses provides a longitudinal efficiency comparison based on student performance on two national standardized tests as outputs, and the second model incorporates socioeconomic characteristics of students attending different schools as inputs in the efficiency estimation. Findings Based on the longitudinal models, it was found that private schools are more efficient and more consistent in maintaining their efficiency over time than other types of schools. In addition, when accounting for socioeconomic factors, publicly subsidized schools were more efficient than public schools. Practical implications The Chilean parliament is currently discussing new educational reforms that focus on more efficient use of educational resources to improve educational quality and equity. The results provided in this study generate useful evidence for policymakers and other stakeholders regarding school efficiency and the appropriate allocation of public resources to support diverse students served by different types of secondary educational institutions. Social implications Education is a key factor affecting social mobility and socioeconomic improvement of societies. Schools are called upon to improve their performance to promote these social goals. Accordingly, more novel forms of research on efficiency are necessary to assess how well schools are transforming their inputs into performance outputs. Originality/value This study provides a longitudinal analysis of educational efficiency using DEA with a national data set of Chilean schools to evaluate how consistent the schools are in maintaining their levels of efficiency over time. In addition, one DEA model accounts for a social “vulnerability” index at the student level to better understand how efficiently secondary schools use their resources. The insights gained provide data-driven answers to support more informed educational decision-making and policy processes in Chile.

Commentary Regarding Bui, Craig, and Imberman (2011)

Using data from a large southwestern school district, Bui, Craig, and Imberman investigated the effects of gifted and talented programming on middle school students’ achievement and behavior (attendance and discipline) through two avenues. Using a regression discontinuity design for the first set of analyses, the authors took advantage of a discontinuity in eligibility requirements at the cut-score; the second set of analyses used data from randomized lotteries of two oversubscribed Gifted and Talented (GT) magnet schools. Findings from both sets of analyses revealed no discernable impact on student outcomes, with the exception in the area of science for the students attending the GT magnet schools. This commentary highlights both the methodological and practical considerations of the study’s findings and the importance of policies and procedures being based on high-quality evidence sources.

Influence of Handaxe Size and Shape on Cutting Efficiency: A Large-Scale Experiment and Morphometric Analysis

Handaxes represent one of the most temporally enduring and geographically widespread of Palaeolithic artifacts and thus comprised a key technological strategy of many hominin populations. Archaeologically observable variation in the size (i.e., mass) and shape properties of handaxes has been frequently noted. It is logical to ask whether some of this variability may have had functional implications. Here, we report the results of a large-scale (n = 500 handaxes) experiment designed to examine the influence of variation in handaxe size and shape on cutting efficiency rates during a laboratory task. We used a comprehensive dataset of morphometric (size-adjusted) shape variables and statistical methods (including multivariate methods) to address this issue. Our first set of analyses focused on handaxe mass/size variability. This analysis demonstrated that, at a broad-scale level of variation, handaxe mass may have been free to vary independently of functional (cutting) efficiency. Our analysis also, however, identified that there will be a task-specific threshold in terms of functional effectiveness at the lower end of handaxe mass variation. This implies that hominins may have targeted design forms to meet minimal (task-specific) thresholds and may also have managed handaxe reduction and discard in respect to such factors. Our second set of analyses focused on handaxe shape variability. This analysis also indicated that considerable variation in handaxe shape may occur independently of any strong effect on cutting efficiency. We discuss how these results have several implications for considerations of handaxe variation in the archaeological record. At a general level, our results demonstrate that variability within and between handaxe assemblages in terms of their size and shape properties will not necessarily have had immediate or strong impact on their effectiveness when used for cutting, and that such variability may have been related to factors other than functional issues.

Links between friends’ physical aggression and adolescents’ physical aggression

Exposure to deviant friends has been found to be a powerful source of influence on children’s and adolescents’ aggressive behavior. However, the contribution of deviant friends may have been overestimated because of a possible non-accounted gene-environment correlation (rGE). In this study, we used a cross-lagged design to test whether friends’ physical aggression at age 10 predicts an increase in participants’ physical aggression from age 10 to age 13 years. Participants were 201 pairs of monozygotic twins who are part of the Quebec Longitudinal Twin Study. We performed two sets of analyses. In the first set of analyses, using twins as singletons, we found that teacher-rated friends’ physical aggression predicted an increase in each twin’s self-reported physical aggression from age 10 to age 13, above and beyond auto-regressive and concurrent links. Second, we used within-pair differences in regard to friends’ physical aggression to predict an increase in within-pair differences in physical aggression, thus accounting for family-wide influences, including a likely rGE at age 10. No significant association was found, however. These results suggest that part of the influence attributed to friends in past studies may have been due to common underlying genetic effects on both physical aggression and association with physically aggressive friends.

Statistical Analysis of Paradigmatic Class Richness Supports Greater Paleoindian Projectile-Point Diversity in the Southeast

AbstractRonald Mason’s hypothesis from the 1960s that the southeastern United States possesses greater Paleoindian projectile-point diversity than other regions is regularly cited, and often assumed to be true, but in fact has never been quantitatively tested. Even if valid, however, the evolutionary meaning of this diversity is contested. Point diversity is often linked to Clovis “origins,” but point diversity could also arise from group fissioning and drift, admixture, adaptation, or multiple founding events, among other possibilities. Before archaeologists can even begin to discuss these scenarios, it is paramount to ensure that what we think we know is representative of reality. To this end, we tested Mason’s hypothesis for the first time, using a sample of 1,056 Paleoindian points from eastern North America arui employing paradigmatic classification and rigorous statistical tools used in the quantification of ecological biodiversity. Our first set of analyses, which compared the Southeast to the Northeast, showed that the Southeast did indeed possess significantly greater point-class richness. Although this result was consistent with Mason’s hypothesis, our second set of analyses, which compared the Upper Southeast to the Lower Southeast and the Northeast showed that in terms of point-class richness the Upper Southeast > Lower Southeast > Northeast. Given current chronometrie evidence, we suggest that this latter result is consistent with the suggestion that the area of the Ohio, Cumberland, and Tennessee River valleys, as well as the mid-Atlantic coastal plain, were possible initial and secondary “staging areas” for colonizing Paleoindian foragers moving from western to eastern North America.

What motivates females and males to pursue careers in mathematics and science?

Drawing on Eccles’ expectancy-value model of achievement-related choices, we examined the personal aptitudes and motivational beliefs at 12th grade that move individuals toward or away from science, technology, engineering, and mathematics (STEM) occupations at age 29. In the first set of analyses, occupational and lifestyle values, math ability self-concepts, family demographics, and high school course-taking more strongly predicted both individual and gender differences in the likelihood of entering STEM careers than math scores on the Differential Aptitude Test. In the second set of analyses, individual and gender differences in career decisions within STEM disciplines (health, biological, and medical sciences (HBMS) versus mathematics, physical, engineering, and computer sciences (MPECS)) were best predicted by occupational values (i.e. preferences for work that were people oriented and altruistic predicted entrance into HBMS instead of MPECS careers). Females were less likely to hold the beliefs that predicted selection of STEM in general, but those who did choose STEM were more likely to select HBMS than MPECS. One Sentence Summary: Gender differences in selecting STEM related and health, biological, and medical occupations result primarily from gender differences in occupational and lifestyle values.

Further re‐analyses looking for effects of phylogenetic diversity on community biomass and stability

Species richness (SR) and phylogenetic diversity (PD) are highly correlated measures of plant diversity. Each, by itself, is significantly associated with plant community biomass in biodiversity experiments. As presented by Cadotte (2015) and as we present below, reasonable but alternative analyses that attempt to control for this correlation in different ways provide contradictory or inconclusive support for the hypothesis that PD is superior to SR as a predictor of community biomass. In Venail et al. (2015), we re-analysed data from 16 experimental manipulations of grassland SR to look at how SR and PD influence variation in plant community biomass through time. Using four types of analyses, we showed that, after statistically controlling for variation in SR, PD was not related to community biomass or to the temporal stability of biomass. We did, however, find that SR tends to increase the biomass production of plant communities after controlling for PD. In his comment, Cadotte expressed two concerns about our analyses. One is that we used non-random subsets of experiments, rather than the full data set, for some of our analyses (types 2, 3). We were clear in stating these analyses were based on non-random subsets that were specifically chosen to minimize the SR–PD correlation and avoid problems associated with multicollinearity. We acknowledge that our tests are conservative, a cost of which is that they sacrifice statistical power while, at the same time, minimizing the chance of drawing an incorrect conclusion. But we disagree with Cadotte’s suggestion that our use of non-random data subsets led to ‘biased’ conclusions, and demonstrate later in this response that his claim of bias is unsubstantiated. Cadotte’s second concern was that our analyses did not account for differences in biomass across studies. This is an important criticism to consider; we made a mistake by not controlling for variation in biomass. To address this issue, Cadotte used mixed models where study was included as a random effect, and ran analyses that standardized biomass among sites. Collectively, these led Cadotte to conclude ‘All analyses strongly support previous literature claims about the value of PD and I further show that: (i) PD provides a more powerful explanation of variation in biomass production than species richness; (ii) PD explains variation in biomass production after controlling for richness; and (iii) the use of data subsets inadvertently biased the conclusions’. We have two concerns with Cadotte’s re-analysis. First, Cadotte’s approach largely ignores the concerns we raised about multicollinearity. When two or more predictors

“DISSECTING” QUARTZITE AND BASALT BIPOLAR FLAKE SHAPE: A MORPHOMETRIC COMPARISON OF EXPERIMENTAL REPLICATIONS FROM OLDUVAI GORGE, TANZANIA

In this pilot study we explore the relationship between bipolar flake shape and stone raw material differences. We conducted a morphometric analysis of 40 quartzite and 40 basalt experimentally replicated specimens from Olduvai Gorge, Tanzania. We carried out two sets of statistical analyses to investigate the shapes of quartzite and basalt bipolar flakes. Our first set of analyses focused on statistical comparisons of five morphometric variables recorded on the two samples of bipolar flakes. For the second set of analyses we used principal components analysis (PCA) to investigate shape differences among the quartzite and basalt bipolar flakes. Our results suggested that there are no significant differences amongst the quartzite and basalt samples. These results are consistent with the hypothesis that the close association between quartzite and bipolar reduction during the Lower Paleolithic at Olduvai Gorge is due to a single motivating factor, namely, expediency. However, we emphasize that more experiments altering test parameters and variables are needed, as are direct quantitative comparisons between experimental and archaeological datasets. Future experiments may uncover additional motivating factors for the prominent quartzite-bipolar reduction found at Olduvai Gorge.

Gender Bias in STEM Fields

The current study focuses on girls’ and women’s reported experiences with gender bias in fields related to science, technology, engineering, and math (STEM). In the first set of analyses, I examined whether the prevalence of self-reported gender bias varied depending on the educational context. I then examined whether experiencing gender bias was associated with lower STEM self-concept and, if so, whether having a supportive network of STEM peers would buffer this effect. Data were collected through a self-report survey that was administered to high school girls who aspired to have STEM careers, women in STEM undergraduate majors, and women in STEM doctoral programs. Overall, 61% of participants reported experiencing gender bias in the past year, but the prevalence rate varied according to their phase of education and field of study. In particular, women in math-intensive undergraduate majors were especially likely to encounter gender bias, which predominately originated from male peers in their major. As expected, participants who encountered gender bias had lower STEM self-concept than participants who did not. However, this effect was attenuated for participants who also had a supportive network of STEM peers. These findings suggest that positive peer connections may be a valuable resource for girls and women in the STEM pipeline.

The Revised Child Anxiety and Depression Scale - Parent Version: Extended Applicability and Validity for Use with Younger Youth and Children with Histories of Early-Life Caregiver Neglect.

The Revised Child Anxiety and Depression Scale - Parent Version (RCADS-P) is a widely used parent-report measure, initially developed to assess anxiety and depression in youth in grades 3-12 from school-based and clinic-referred settings. It is important however to be able to assess these problems in even younger children due to the need for earlier understanding, identification, intervention and prevention efforts of anxiety and depression in younger children, and continual monitoring of these problems across the youth life span. For the present study, we used a sample of 307 children and adolescents ages 3.0 to 17.5 years old (M=8.68, SE=4.10). For the first set of analyses, we divided the sample into Younger youth (kindergarten to grade 2; n=152) and Older youth (grade 3 to 12; n=155) to see whether each group independently met benchmarks for acceptable reliability and validity. Given the number of children who also develop anxiety and depression following early-life adversities and adverse care (such as caregiver neglect), we also divided our sample differently into a Post-Institutionalized group (i.e., previously institutionalized youth; n=100) and a Comparison group (i.e., youth without histories of early-life caregiver neglect; n=195) to examine whether each of these groups also met benchmarks for acceptable reliability and validity. Specifically, in each of these grade and experience groups, we examined the factor structure (including measurement invariance), internal consistency and convergent and discriminant validity of the RCADS-P anxiety and depression scales scores. Results demonstrated that younger youth RCADS-P reports were associated with acceptable reliability and validity estimates. Similar support for the RCADS-P scores was found for the Post-Institutionalized youth. The present study therefore extends needed support for the use of the RCADS-P to assess and monitor these two new and important youth groups.

Rehearsal development as development of iterative recall processes.

Although much is known about the critical importance of active verbal rehearsal for successful recall, knowledge about the mechanisms of rehearsal and their respective development in children is very limited. To be able to rehearse several items together, these items have to be available, or, if presented and rehearsed previously, retrieved from memory. Therefore, joint rehearsal of several items may itself be considered recall. Accordingly, by analyzing free recall, one cannot only gain insight into how recall and rehearsal unfold, but also into how principles that govern children’s recall govern children’s rehearsal. Over a period of three and a half years (beginning at grade 3) 54 children were longitudinally assessed seven times on several overt rehearsal free recall trials. A first set of analyses on recall revealed significant age-related increases in the primacy effect and an age-invariant recency effect. In the middle portion of the list, wave-shaped recall characteristics emerged and increased with age, indicating grouping of the list into subsequences. In a second set of analyses, overt rehearsal behavior was decomposed into distinct rehearsal sets. Analyses of these sets revealed that the distribution of rehearsals within each set resembled the serial position curves with one- or two-item primacy and recency effects and wave-shaped rehearsal patterns in between. In addition, rehearsal behavior throughout the list was characterized by a decreasing tendency to begin rehearsal sets with the first list item. This result parallels the phenomenon of beginning recall with the first item on short lists and with the last item on longer lists.

Shortest path or anchor-based route choice: a large-scale empirical analysis of minicab routing in London

Understanding and modelling route choice behaviour is central to predicting the formation and propagation of urban road congestion. Yet within conventional literature disagreements persist around the nature of route choice behaviour, and how it should be modelled. In this paper, both the shortest path and anchor-based perspectives on route choice behaviour are explored through an empirical analysis of nearly 700,000 minicab routes across London, United Kingdom. In the first set of analyses, the degree of similarity between observed routes and possible shortest paths is established. Shortest paths demonstrate poor performance in predicting both observed route choice and characteristics. The second stage of analysis explores the influence of specific urban features, named anchors, in route choice. These analyses show that certain features attract more route choices than would be expected were individuals choosing route based on cost minimisation alone. Instead, the results indicate that major urban features form the basis of route choice planning – being selected disproportionately more often, and causing asymmetry in route choice volumes by direction of travel. At a finer scale, decisions made at minor road features are furthermore demonstrated to influence routing patterns. The results indicate a need to revisit the basis of how routes are modelled, shifting from the shortest path perspective to a mechanism structured around urban features. In concluding, the main trends are synthesised within an initial framework for route choice modelling, and presents potential extensions of this research.

Living alone in Japan: Relationships with happiness and health.

BACKGROUNDOne-person households are the most common type of household in Japan, but relatively little is known about the causes and potential consequences of the rise in solo living in young adulthood.OBJECTIVEI address two questions: What accounts for the rise in one-person households in young adulthood? How is solo living in young adulthood related to well-being?METHODSI use census data to evaluate how much of the growth in one-person households at ages 20−39 between 1985 and 2010 is explained by change in marital behavior and how much is explained by other factors. I then use data from the 2000−2010 rounds of the Japanese General Social Survey to examine whether and why men and women living alone differ from those living with others in terms of happiness and self-rated health.RESULTSResults of the first set of analyses indicate that changes in marital behavior explain all of the increase in one-person households for men and three-fourths of the increase for women. Results of the second set of analyses indicate that those living alone are significantly less happy than those living with others, whereas the two groups do not differ with respect to self-rated health. The observed differences in happiness are not explained by differences in subjective economic well-being or social integration.CONCLUSIONSThe relatively small magnitude of estimated differences in happiness and health provides little evidence to suggest that the projected rise in one-person households is likely to play a significant role in contributing to lower levels of well-being among young adults in Japan.

Second language development in a migrant context: Turkish community in the Netherlands

AbstractThis study explores the extent to which first language (L1) versus second language (L2) use and attachments to native versus majority language and culture influence the proficiency in the L2 Dutch among the Turkish-Dutch bilinguals. The community under investigation is of particular significance because it represents the largest non-Western ethnic group in the Netherlands and it has often been discussed in the context of the group members’ ethnic and linguistic attachments as opposed to their perceived unwillingness to adopt the cultural norms of the Dutch society. What makes this immigration setting interesting is that the shift from tolerance to startling levels of restrictiveness in policies of cultural and linguistic integration has nowhere been as fast as in the Netherlands. Data are collected from the first generation Turkish immigrants (n = 45) who migrated to the Netherlands after the age of 15 and lived there for 10 years or longer and native Dutch speakers (n = 39) via an elicited speech task, a lexical naming/recognition task and a sociolinguistic background questionnaire. The first set of analyses reveals several links between the individual variables (i.e., L1 use in the family and with friends, L2 use at work, level of education, length of residence and cultural preference) and different aspects of L2 proficiency. However, the effect sizes of these correlations are weak to moderate. The second set of analyses applies a discriminant analysis where proficiency in the L2 has been established as one integrated score. In this analysis, only preferred language emerges as the best predictor of language development.

Predicting Patterns of Grammatical Complexity Across Language Exam Task Types and Proficiency Levels

In the present article, we explore the extent to which previous research on register variation can be used to predict spoken/written task-type variation as well as differences across score levels in the context of a major standardized language exam (TOEFL iBT). Specifically, we carry out two sets of linguistic analyses based on a large corpus of TOEFL iBT responses: one investigating the use of 23 grammatical complexity features, and the second based on co-occurrence patterns among linguistic features, using Multi-Dimensional (MD) analysis. The first set of analyses confirms the predictions from research on register variation: there are systematic linguistic differences among spoken versus written and independent versus integrated task types. However, hypothesized developmental progressions in the use of these grammatical complexity features were generally not confirmed by score-level differences. In contrast, the MD analysis yielded more robust predictors of both task types and score-level differences, indicating that linguistic descriptions are more reliable and informative when they are based on dimensions of co-occurring lexico-grammatical features. In conclusion, we discuss the application of such dimensions as holistic complexity measures in language development/testing research.

Expansion and Reduction in Translation: A Case Study of Hyperbole in the Persian Translation of Euripides's Andromache and Medea

Hyperbole is one of the most widely used figure of speech in heroic texts, a long neglected form of non-literal language. The present study set out to determine the extent of expansion and reduction in the translation of hyperbole in Euripides's dramatic texts, Andromache and Medea from English into Persian. In order to investigate the objective of this study, all hyperbolic expressions in English texts, which were considered hyperbolic in Persian as well, were identified. Then, they were classified based on the most recent classification of hyperbole in English by Claridge (2011), into three categories; namely, single-word hyperbole, phrasal hyperbole, and clausal hyperbole. To control the issue, English classification was carried out twice, and also a Persian Language and Literature expert confirmed Persian hyperbolic expressions twice. The first set of analysis examined the frequency of each category in both languages, and to check whether the extent of expansion and reduction in translation of hyperbolic expressions is significant, Chi-square test was performed via SPSS 21. The obtained results did not show any significant differences between English and Persian hyperbolic expressions in terms of expansion and reduction.