quantex

This respository contains practice data sets for use in module SET013

Description of data sets

this file may be updated from time to time, so it may look different if you re-download at a later stage of the semester

questionnaire_simple.csv

file location: on Learning Central (in the materials of the relevant weeks); also https://bit.ly/3Y9TWWZ contains the data we gathered in week 2

• AGE: years completed since birth
• GENDER: f = female, m = male
• ATT1 = 'Using abbreviations in text messages is acceptable'; Likert scale 1-5; the lower the value, the more positive
• ATT2 = 'The following sentence uses bad grammar: "I have less books than my friend."'; Likert scale 1-5; the higher the value, the more positive

questionnaire.csv

file location: on Learning Central (in the materials of the relevant weeks) Contains the data we gathered in week 2, with subsequent combination and adjustment of ATT1/ATT2 and the addition of AGE.GRP Variables:

• AGE: years completed since birth
• GEN: f = female, m = male, o = other/don't want to say
• CHANGE: values from 1 to 10 indicating the attitude to linguistic change, where 10 = very positive and 1 = very negative
• AGE.GRP: mature = aged between 30 and infinite, young = aged between 0 and 30

phrases.csv

alternative file location: https://tinyurl.com/48xrdz3x Contains ratings of 1501 word sequences with regard to whether they are set phrases

test_scores.txt

alternative file location: https://goo.gl/WJQctc Contains fictitious scores of 25 students on a language proficiency test and some personal data on the participants

• SP: score for speaking
• LI: score for listening
• RE: score for reading
• WR: score for writing
• ID: student ID
• AGE: age in comleted years since birth
• L1: E = first language is a European language, N = first language is non-european
• OVERALL: The overall score in the proficiency test across reading, writing, speaking, listening
• GENDER: M = male, F = female

AUGEN.csv

alternative file location: https://goo.gl/fH1eGC Contains relative frequencies of the word sequence 'blaue[n] Augen' (i.e. blue eyes) in German books over the 20th century. Source: Google Books (https://books.google.com/ngrams/) Variables:

• YEAR: the year
• AUGEN: the relative frequency (relative to corpus size for the year) of 'blaue[n] Augen'

CLsurvey.csv

alternative file location: https://goo.gl/FmocIb Contains data on article types that have appeared in the Journal of Cognitive Linguistics over the years 1990 to 2012. The data are from Janda (2013), kindly supplied by the author. Variables:

• YEAR: year of publication
• QUANT.ART: number of articles employing quantitative methods
• TOTAL.ART: total number of articles that have appeared

Texts.csv

alternative file location: https://goo.gl/WKviKl Contains data on the length of 16 texts and their translations. The data are adapted from Gries (2013) Variables:

• CASE: case numbering
• LENGTH: length in words of the text
• TEXT: the text-ID number, where the original and translation each have the same text ID
• TEXTSOURCE: whether the case is 'Original' or 'Translation'
• LANGUAGE: the language in which the text is written

RASINGER201.CSV

alternative file location: https://goo.gl/1hRXvS Contains data set discussed in Rasinger (2013) p. 201. Those are listening test scores for people before and after receiving certain treatment.

newTS.csv

alternative file location: https://goo.gl/DqkL65 structure similar to test_scores, but with age groups added and some of the values adjusted

newTS2.csv

alternative https://goo.gl/bn2TXp

F1.csv

alternative file location: https://goo.gl/KK4qQ4 Contains the measured frequency of the first formant in test vowels for a set of participants, both males and females Variables:

• Hz_F1: frequency in Hertz of the first formant
• SEX: gender of the participant

reaction_times.csv

alternative file location: https://goo.gl/NwHsMf Contains fictitious data on a reaction time experiment. 4 subjects were shown 4 collocations (one per trial) and had to decide whether they were seeing real actual words or made-up words. 2 trials were under neutral condition, and 2 trials while playing music in the background. Reaction times were measured between subjects being shown the collocation and their hitting either the 'word' or 'non-word' button. Whether their choice was correct was also recorded. Variables:

• SUBJ: subject ID
• TRIAL: number of the trial, trials were conducted in the order indicated
• COND: 1 = with music, 0 = without music
• RT: reaction time in milliseconds
• CORRECT: 1 = correct response, 0 = incorrect response

Reaction.csv

alternative file location: https://goo.gl/Srpb9J Contains data taken from Gries (2013) on a reaction time experiment where participants were shown words on a screen and they had to press one button or the other to indicate whether these are real words of English. Scores for frequency and familiarity of each of the words is also included.

RT2.csv

alternative file location: https://goo.gl/zPFaI1 Contains ficitious data on reaction times in a word recognition tasks. The task was to press the YES button if a real word is shown, or the NO button if a nonsense word is shown (data adapted from Gries 2013). Variables:

• WORD_L: length of the word in letters
• RT_MS: reaction time in milliseconds

synonyms.csv

alternative file location: https://goo.gl/zfK9Pj This is a data set from Gries (2013) and contains ficticious data from an experiment where 5 subjects were asked to write down as many synonyms as they could in 30 seconds for 8 words (different 8 words for each subject). This was used to measure how good subjects were at finding synonyms, depending on whether the words given had a positive or negative connotation and also whether the words were adjectives, adverbs, nouns or verbs.

• CASE: just indicating the case number (there are 40 cases in total)
• SUBJECT: which of the five subjects produced the scores (the values are a, b, c, d, e)
• MEANING: the words given to subjects had either positive or negative connotations
• POS: the parts of speech of the words given to subjects (adjectives, adverbs, nouns and verbs)
• SYNONYMS: how good subjects were in producing synonyms (on a scale from 1 to 20)

CoLA_judgements1.csv

alternative file location: https://tinyurl.com/mrb4kv87 This is a data set adapted from https://nyu-mll.github.io/CoLA/ and it shows grammaticality judgements of two raters