By Richard Lederer
With interesting etymologies and letter styles of greater than four hundred daily phrases, bestselling language author Richard Lederer deals insights into the main bedazzling, beguiling, and bewitching phrases within the English language. Readers will observe why William Shakespeare can be hiding within the previous testomony; why "run" is the longest note in English; how people's names develop into universal phrases; and the way the Bible, mythology, the ocean, the land, exhibit company, and video games spark phrases and words in daily vocabulary. Chock-full of transfixing notice histories, magical letter play, and hilarious puns, Amazing Words is a vital booklet for wordaholics, logolepts, and verbivores.
Read or Download Amazing Words: An Alphabetical Anthology of Alluring, Astonishing, Beguiling, Bewitching, Enchanting, Enthralling, Mesmerizing, Miraculous, Tantalizing, Tempting, and Transfixing Words PDF
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Additional info for Amazing Words: An Alphabetical Anthology of Alluring, Astonishing, Beguiling, Bewitching, Enchanting, Enthralling, Mesmerizing, Miraculous, Tantalizing, Tempting, and Transfixing Words
Sav file. The data come from an unpublished study on Japanese learners of English who lived in the US as either children or adults. Move the RLWTEST variable from the end of the file to be the first variable after ID. This variable is a variable with 96 points. Reduce it to two groups by dividing at the halfway point to separate those who are better and worse at distinguishing R/L/W in English, or, if you have read the Advanced Topic section on using Visual Binning, do that to find a suitable cutpoint.
Find out how many are in each group by going to ANALYZE > DESCRIPTIVE STATISTICS > FREQUENCIES and putting the new variable in the “Variable(s)” box. sav file. The STATUS variable here groups participants by the age at which they started learning English intensively. Let’s pretend I want to make another group that puts people into groups pertaining to their English usage. Half of the participants scored 10 or below, and half scored 11 or above, so I decide to make a cutpoint at this level. Create a new group called USE GROUP that categorizes participants as either LowUse or HiUse (be sure to create value labels as well for this variable).
How many participants were 18 when tested? sav file. The data come from a very large-scale study on bilinguals conducted by Jean-Marc Dewaele and Aneta Pavlenko (2001–2003). The column AGE SEC refers to the age of acquisition of a second language. First, move the column so it is the first column in the Data Editor. Filter out any participants who learned their second language at age zero. Count how many participants are left by going to ANALYZE > DESCRIPTIVE STATISTICS > DESCRIPTIVES . Move the AGE SEC variable to the right and press OK.
Amazing Words: An Alphabetical Anthology of Alluring, Astonishing, Beguiling, Bewitching, Enchanting, Enthralling, Mesmerizing, Miraculous, Tantalizing, Tempting, and Transfixing Words by Richard Lederer