scholarly journals German normative data with naming latencies for 283 action pictures and 600 action verbs

2021 ◽  
Author(s):  
Johannes L. Busch ◽  
Femke S. Haeussler ◽  
Frank Domahs ◽  
Lars Timmermann ◽  
Immo Weber ◽  
...  
Keyword(s):  
Word Frequency ◽  
Repeated Measures ◽  
Normative Data ◽  
Visual Complexity ◽  
Naming Latency ◽  
Levenshtein Distance ◽  
Data Set ◽  
Mixed Effects Modeling ◽  
Action Verbs ◽  
Naming Latencies

AbstractTimed picture naming is a common psycholinguistic paradigm. In this task, participants are asked to label visually depicted objects or actions. Naming performance can be influenced by several picture and verb characteristics which demands fully characterized normative data. In this study, we provide a first German normative data set of picture and verb characteristics associated with a compilation of 283 freely available action pictures and 600 action verbs including naming latencies from 55 participants. We report standard measures for pictures and verbs such as name agreement indices, visual complexity, word frequency, word length, imageability and age of acquisition. In addition, we include less common parameters, such as orthographic Levenshtein distance, transitivity, reflexivity, morphological complexity, and motor content of the pictures and their associated verbs. We use repeated measures correlations in order to investigate associations between picture and word characteristics and linear mixed effects modeling for the prediction of naming latency. Our analyses reveal comparable results to previous studies in other languages, indicating high construct validity. We found that naming latency varied as a function of entropy of responses, word frequency and motor content of pictures and words. In summary, we provide first German normative data for action pictures and their associated verbs and identify variables influencing naming latency.

Word Frequency and Age of Acquisition as Determiners of Picture-Naming Latency

1973 ◽  
Vol 25 (1) ◽  
pp. 85-95 ◽  
Author(s):  
John B. Carroll ◽  
Margaret N. White
Keyword(s):  
Regression Analysis ◽  
Word Frequency ◽  
Picture Naming ◽  
Naming Latency ◽  
Age Of Acquisition ◽  
Word Retrieval ◽  
Critical Variable ◽  
Stage Process ◽  
Two Measures ◽  
Naming Latencies

In multiple-regression analysis of picture-naming latencies from an experiment modelled on Oldfield and Wingfield's (1965), with 94 stimuli and 37 adult subjects, two word frequency measures had insignificant beta weights, while two measures estimating age at which the word was learned had highly significant weights. Objects whose names were learned early were named faster. This result may have important implications for the interpretation of studies using word frequency as a critical variable. It is suggested that word retrieval may be a one-stage process that depends upon the age at which a word was learned.

scholarly journals Italian norms and naming latencies for 357 high quality color images

2018 ◽  
Author(s):  
Eduardo Navarrete ◽  
Giorgio Arcara ◽  
Sara Mondini ◽  
Barbara Penolazzi
Keyword(s):  
Normative Data ◽  
Visual Complexity ◽  
Age Of Acquisition ◽  
High Quality ◽  
Lexical Frequency ◽  
Representational System ◽  
Line Drawings ◽  
Name Agreement ◽  
Naming Latencies ◽  
Italian Norms

In the domain of cognitive studies on the lexico-semantic representational system, one of the most important means of ensuring well-suited experimental designs is using ecological stimulus sets accompanied by normative data on the most relevant variables affecting the processing of their items. In the context of image sets, color photographs are particularly suited for this aim as they reduce the difficulty of visual decoding processes that may emerge with traditional image sets of line drawings, especially in clinical populations. We provide Italian norms for a set of 357 high quality image-items belonging to 23 semantic subcategories. Data from several variables affecting image processing: age of acquisition, familiarity, lexical frequency, manipulability, name agreement, typicality and visual complexity; were collected from a sample of 255 Italian-speaking participants. Lexical frequency data were derived from the CoLFIS corpus. Furthermore, we collected data with on image naming latencies aimed at exploring how much of the variance in these latencies could be explained by the above mentioned critical variables. Multiple regression analyses on the naming latencies show classical psycholinguistic phenomena, such as the effects of age of acquisition and name agreement. In addition, manipulability is also a significant predictor. The described Italian normative data and naming latencies are available for download as supplementary material.

scholarly journals Eye Tracking Technology in Detecting the Switch Cost in the Intra-sentential Code-Switching Contexts

2018 ◽  
Vol 13 (05) ◽  
pp. 117
Author(s):  
Liqin Wu ◽  
Cuihua Xi
Keyword(s):  
Eye Tracking ◽  
Key Words ◽  
Word Frequency ◽  
Repeated Measures ◽  
Switch Cost ◽  
Low Frequency ◽  
Code Switching ◽  
Movement Data ◽  
Reading Efficiency ◽  
Areas Of Interest

Switch cost and cost site have been controversial issues in the code-switching studies. This research conducted an eye tracking experiment on eight bilingual subjects to measure their switch cost and cost site in comprehending the intra-sentential code-switching (Chinese and English) and the unilingual (pure Chinese) stimuli. The English words and their Chinese translations or equivalents were assumed as the key words in either a unilingual or an intra-sentential code-switching paragraph. These key words were located as areas of interest (AOI) with the same height and consisted of three word-frequency levels. After the experiment, the subjects were required to do a comprehension test to ensure their real understanding of the English words. Their performances in two different reading contexts were compared by adopting a paired sample t-test. Their eye movement data were validated by using 2 x 3 repeated measures ANOVA. It was revealed that: 1) the subjects’ scores in the intra-sentential code-switching contexts were higher than those in the unilingual ones, i.e. reading efficiency increased in the intra-sentential code-switching contexts; 2) word frequency had little effect on word recognition speed in the intra-sentential code-switching contexts, i.e., the least frequently used words did not necessarily take the subjects’ more time or vice versa; 3) even if a switch cost occurred(on rare occasions), it was not necessarily at the switching site, and low frequency words in alternating languages did impair performance even when the switch occurred at a sentence boundary.

scholarly journals Analyzing randomized controlled interventions: Three notes for applied linguists

2015 ◽  
Vol 5 (1) ◽  
pp. 135-152 ◽  
Author(s):  
Jan Vanhove
Keyword(s):  
Repeated Measures ◽  
Intervention Studies ◽  
Mixed Effects ◽  
Analysis Of Covariance ◽  
Cluster Randomization ◽  
Repeated Measures Anova ◽  
Randomized Controlled ◽  
Mixed Effects Modeling ◽  
Statistical Formalism ◽  
Relevant Covariates

I discuss three common practices that obfuscate or invalidate the statistical analysis of randomized controlled interventions in applied linguistics. These are (a) checking whether randomization produced groups that are balanced on a number of possibly relevant covariates, (b) using repeated measures ANOVA to analyze pretest-posttest designs, and (c) using traditional significance tests to analyze interventions in which whole groups were assigned to the conditions (cluster randomization). The first practice is labeled superfluous, and taking full advantage of important covariates regardless of balance is recommended. The second is needlessly complicated, and analysis of covariance is recommended as a more powerful alternative. The third produces dramatic inferential errors, which are largely, though not entirely, avoided when mixed-effects modeling is used. This discussion is geared towards applied linguists who need to design, analyze, or assess intervention studies or other randomized controlled trials. Statistical formalism is kept to a minimum throughout.

scholarly journals Detecting Bimodality in the Analogical Reasoning Performance of Elementary Schoolchildren

1997 ◽  
Vol 20 (3) ◽  
pp. 529-547 ◽  
Author(s):  
Bettina Hosenfeld ◽  
Han L.J. van der Maas ◽  
Dymphna C. van den Boom
Keyword(s):  
Repeated Measures ◽  
Analogical Reasoning ◽  
Test Session ◽  
Component Model ◽  
Control Group ◽  
Latent Classes ◽  
Data Sets ◽  
Data Set ◽  
Frequency Distributions ◽  
Group Data

This paper reports on modelling six frequency distributions representing the analogical reasoning performance of four different samples of elementary schoolchildren. A two-component model outperformed a one-component model in all investigated data sets, discriminating accurate performers with high success probabilities and inaccurate performers with low success probabilities, whereas for two data sets a three-component model provided the best fit. In a treatment-control group data set, the treatment group comprised a larger proportion of accurate performers than the control group, whereas the success probabilities of the two latent classes were nearly identical in both groups. In a repeated-measures data set, both the success probabilities of the two latent classes and the proportion of accurate performers increased from the first to the second test session. The results provided a first indication of a transition in the development of analogical reasoning in elementary schoolchildren.

Risk Factors Of Employment Transitions From Age 16 To 55 Years: A British Cohort Study

2020 ◽  
pp. 11-20
Author(s):  
Caixia Hu ◽  
The Nathan S
Keyword(s):  
Repeated Measures ◽  
Weighted Average ◽  
Socioeconomic Background ◽  
Data Set ◽  
Educational Levels ◽  
Employment Transitions ◽  
Kaplan Meier ◽  
British Cohort Study ◽  
The Relationship ◽  
Improve Health

Health, educational and socioeconomic status have been thought to be related to employment transitions in mid-life, but little is known about what the associations really are and how the associations change over time for British individuals. The purpose of this research is to investigate relationships between these factors and employment transitions for men and women in a British cohort. This paper uses the data set 1958 NCDS, and the method multiple imputation to impute the data, uses forward-backward stepwise regression to select variables and combine using average and weighted average to treat repeated measures. Lifetabe and Kaplan-Meier methods are used to show the distribution of duration to employment transitions. The discrete-time logit model of survival analysis is required to build the relationship between first employment, first unemployment and factors including health status, educational performance, and socioeconomic background. Our findings suggest more attention should be paid to improve health conditions, educational levels and socioeconomic background of individuals before age 16, which could shorten the time to first employment and reduce the possibility to be unemployed.

scholarly journals Enhancing Accuracy in a Touch Operation Biometric System: A Case on the Android Pattern Lock Scheme

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Allan Ng’ang’a ◽  
Paula M. W. Musuva
Keyword(s):  
Repeated Measures ◽  
Smart Devices ◽  
Biometric System ◽  
Data Set ◽  
Pattern Complexity ◽  
User Training ◽  
Average Accuracy ◽  
Within Subjects ◽  
Dynamic Time ◽  
Future Work

The main objective of this research study is to enhance the functionality of an Android pattern lock application by determining whether the time elements of a touch operation, in particular time on dot (TOD) and time between dot (TBD), can be accurately used as a biometric identifier. The three hypotheses that were tested through this study were the following–H1: there is a correlation between the number of touch stroke features used and the accuracy of the touch operation biometric system; H2: there is a correlation between pattern complexity and accuracy of the touch operation biometric system; H3: there is a correlation between user training and accuracy of the touch operation biometric system. Convenience sampling and a within-subjects design involving repeated measures were incorporated when testing an overall sample size of 12 subjects drawn from a university population who gave a total of 2,096 feature extracted data. Analysis was done using the Dynamic Time Warping (DTW) Algorithm. Through this study, it was shown that the extraction of one-touch stroke biometric feature coupled with user training was able to yield high average accuracy levels of up to 82%. This helps build a case for the introduction of biometrics into smart devices with average processing capabilities as they would be able to handle a biometric system without it compromising on the overall system performance. For future work, it is recommended that more work be done by applying other classification algorithms to the existing data set and comparing their results with those obtained with DTW.

scholarly journals Pharmacological curve fitting to analyze cutaneous adrenergic responses

2011 ◽  
Vol 111 (6) ◽  
pp. 1703-1709 ◽  
Author(s):  
Megan M. Wenner ◽  
Thad E. Wilson ◽  
Scott L. Davis ◽  
Nina S. Stachenfeld
Keyword(s):  
Dose Response ◽  
Curve Fitting ◽  
Repeated Measures ◽  
Nonlinear Modeling ◽  
Response Curves ◽  
Data Set ◽  
Sigmoidal Model ◽  
Dose Response Curves ◽  
Cutaneous Vasoconstriction

Although dose-response curves are commonly used to describe in vivo cutaneous α-adrenergic responses, modeling parameters and analyses methods are not consistent across studies. The goal of the present investigation was to compare three analysis methods for in vivo cutaneous vasoconstriction studies using one reference data set. Eight women (22 ± 1 yr, 24 ± 1 kg/m2) were instrumented with three cutaneous microdialysis probes for progressive norepinephrine (NE) infusions (1 × 10−8, 1 × 10−6, 1 × 10−5, 1 × 10−4, and 1 × 10−3 logM). NE was infused alone, co-infused with NG-monomethyl-l-arginine (l-NMMA, 10 mM) or Ketorolac tromethamine (KETO, 10 mM). For each probe, dose-response curves were generated using three commonly reported analyses methods: 1) nonlinear modeling without data manipulation, 2) nonlinear modeling with data normalization and constraints, and 3) percent change from baseline without modeling. Not all data conformed to sigmoidal dose-response curves using analysis 1, whereas all subjects' curves were modeled using analysis 2. When analyzing only curves that fit the sigmoidal model, NE + KETO induced a leftward shift in ED50 compared with NE alone with analyses 1 and 2 ( F test, P < 0.05) but only tended to shift the response leftward with analysis 3 (repeated-measures ANOVA, P = 0.08). Neither maximal vasoconstrictor capacity (Emax) in analysis 1 nor %change CVC change from baseline in analysis 3 were altered by blocking agents. In conclusion, although the overall detection of curve shifts and interpretation was similar between the two modeling methods of curve fitting, analysis 2 produced more sigmoidal curves.

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