This codebook.txt file was generated on 2018-11-20 by Yingzi Xiong ------------------- GENERAL INFORMATION ------------------- 1. Letter Transposition Project [GELLAB 2018] 2. Author Information Principal Investigator Contact Information Name: Yingzi Xiong Institution: University of Minnesota Address: No.75 East River Road, MPLS, MN, 55455 Email: yingzi@umn.edu Associate or Co-investigator Contact Information Name: Qiaoyue Chen Institution: University of Minnesota Address: No.75 East River Road, MPLS, MN, 55455 Email: qiaox099@umn.edu Associate or Co-investigator Contact Information Name: Gordon E Legge Institution: University of Minnesota Address: No.75 East River Road, MPLS, MN, 55455 Email: legge@umn.edu 3. Date of data collection (single date, range, approximate date) 2017-10-25 to 2017-12-08 4. Geographic location of data collection (where was data collected?): Elliott Hall, Room N34, University of Minnesota (No.75 East River Road, MPLS, MN, 55455) 5. Information about funding sources that supported the collection of the data: NIH grant EY002934 -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal 2. Links to publications that cite or use the data: NA 3. Links to other publicly accessible locations of the data: NA 4. Links/relationships to ancillary data sets: NA 5. Was data derived from another source? NO If yes, list source(s): 6. Recommended citation for the data: Xiong, Yingzi; Chen, Qiaoyue; Legge, Gordon E. (2018). Letter Transposition Project [GELLAB 2018]. Retrieved from the Data Repository for the University of Minnesota, http://hdl.handle.net/11299/200865. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: LT_RSVP_Raw.csv Short description: Main dataset for Letter Transposition Project B. Filename: Readme.txt Short description: Readme documentation file 2. Relationship between files: NA 3. Additional related data collected that was not included in the current data package: NA 4. Are there multiple versions of the dataset? yes/no NO -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Eighteen subjects read aloud sentences in a rapid serial visual presentation (RSVP) task. Apparatus: Sentences were generated by Psychtoolbox 3.0 with Matlab R2010a on a NEC MultiSync CRT monitor (refresh rate = 100 Hz, resolution = 1680 x 1050 pixels). In the RSVP task, a chinrest was used to stabilize the subject’s head, and a webcam was used to monitor the subject’s eye movements. Stimuli: Stimulus sentences were black letters (luminance 1.9 cd/m2) on a white background (luminance 298.5 cd/m2). Letters were rendered in Times New Roman font. The RSVP database was generated using high-frequency vocabulary, with sentence length ranging from 9 to 13 words. Each sentence was randomly assigned to one of the following four conditions: 1) Initial transformation, in which the first two letters of the word exchanged their position (e.g., “reading” vs. “erading”); 2) Internal transformation, in which two randomly selected neighboring letters in the middle of the word exchanged their position (e.g., “reading” vs. “reaidng”); 3) Final transformation, in which the last two letters of the word exchanged their position (e.g., “reading” vs. “readign”); and 4) Baseline condition with no transformations (Table 1). LT manipulations were only applied to words consisting of at least 5 letters. A sentence was selected only if 4-5 words met this criterion for LT manipulation. In LT conditions, sentences were rejected if transformed words formed new words (e.g., “dairy” vs. “diary”). As a result, the base words were always transformed into nonwords. For all three LT conditions, an average 41% of the words were transformed. Procedure: Before the reading test, subjects were told that “Some of the words are strangely spelled. Please try to guess what the original words are and read it accordingly.” Subjects were required to read the sentences aloud throughout the test, they didn’t have to track the high-speed presentation by speech and could complete reading the sentence after the RSVP sequence was finished. In central reading, the sentences were presented at the center of the screen, and the letter size was fixed at 0.5º. In peripheral reading, the sentences were presented at 10º eccentricity in the lower visual field, and the letter size was fixed at 3.5º. Eight blocks were tested, with each reading conditions tested once in both central and peripheral vision in a random order.In each block 6 word-exposure times (central reading: 34, 51, 76, 113, 168 and 250 ms; peripheral reading: 53, 93, 165, 290, 511 and 900 ms) were measured in a random order, each tested 8 times. 2. Methods for processing the data: Exclusion of data due to eye movement: A webcam was used to monitor the subject’s eye movements. Subjects were allowed to move their eyes along a fixation line in the middle of the screen, however, a trial was discarded if a vertical eye movement was observed. Data processing of whole sentences: for each sentence, we calculated the total word counts (total) and total errors made by subjects (error). Data processing of transformed words: for each sentence, we calculated the number of transformed words (LTtotal) and errors of transformed words made by subjects (LTerror). Data processing of untransformed words: for each sentence, we separated untransformed words into two groups: (1) those followed a transformed word, and (2) those followed an untransformed word. We calculated the report errors of each group (NLTerrA and NLTerrNA). 3. Instrument- or software-specific information needed to interpret the data: NA 4. Standards and calibration information, if appropriate: NA 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: NA 7. People involved with sample collection, processing, analysis and/or submission: NA ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: LT_RSVP_Raw.csv ----------------------------------------- 1. Number of variables: 13 2. Number of cases/rows: 6300 (including header) 3. Missing data codes: NA 4. Variable List A. Name: subject Description: B. Name: run Description: C. Name: Ecc Description: Value labels if appropriate D. Name: distance Description: E. Name: cond Description: F. Name: size Description: G. Name: duration Description: H. Name: total Description: I. Name: error Description: J. Name: LTtotal Description: K. Name: LTerror Description: L. Name: NLTerrA Description: M. Name: NLTerrNA Description: