Jane's early years were full of adventure and excitement. She immigrated to Australia from England, married, and had five children. Disaster struck when her husband was arrested. She spent years grappling with the consequences of his crimes and the devastating effect on her family. Jane floundered in a spiritual and emotional wilderness. The pain of betrayal, confusion, and guilt reinforced her lack of self-worth. Could she ever recover? How could she forgive? Who could understand her humiliation, shame, and utter despair? Told with candid honesty and courage, this is a story of redemption and restoration that Jane attributes solely to God's grace and mercy.

Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.

I am what I am today , not because of, but in spite of, the past. For author Stephanie Harrington, that statement encapsulates a life story that she shares with you in A Silk Purse from a Sows Ear In this true story she narrates how Georgina Jackson, aged only three years old, was forced to become Georgina Frazer. And this was the first example that Georgina was never going to experience a normal childhood, or for that matter...A normal life! Left to her own devices, she traveled a tormented journey, desperately seeking approval from anyone and everyone, making mistake after mistake, and involving\ so many others including partners, children, friends, and more. A Silk Purse from a Sows Ear? tells about the sadness, pain, disappointment, guilt, and desperation she encountered throughout life always worrying how others perceived her and the feelings of insecurity and inferiority that followed her in whatever she attempted. She shares a story of a traumatic, yet fascinating and unusual life.

The first English-language translation of the French 18th-century classic text on woodworking.

All-new collection of magical stories from slapstick comedy to Gothic horror.

Combining fashion, design, textile art, and embroidery, this beautiful and practical guide shows crafters how to make one-of-a-kind embroidered purses. From simple 2-sided styles to elaborate gusseted box designs, from small elegant clutches to roomier drawstring bags, they’re inspired by the finest historical examples and an international array of textile patterns. Exquisite illustrations also suggest innovative and unusual ideas for embellishment. Stitch a Chinese Silk Clutch inspired by the sea, a purse with bonded silk and velvet, and a colorful, cylindrical English Patchwork Harlequin design—and then show them off with pride.

This captivating book reproduces arguably the most extraordinary primary source documents in fashion history. Providing a revealing window onto the Renaissance, they chronicle how style-conscious accountant Matthäus Schwarz and his son Veit Konrad experienced life through clothes, and climbed the social ladder through fastidious management of self-image. These bourgeois dandies' agenda resonates as powerfully today as it did in the sixteenth century: one has to dress to impress, and dress to impress they did. The Schwarzes recorded their sartorial triumphs as well as failures in life in a series of portraits by illuminists over 60 years, which have been comprehensively reproduced in full color for the first time. These exquisite illustrations are accompanied by the Schwarzes' fashion-focussed yet at times deeply personal captions, which render the pair the world's first fashion bloggers and pioneers of everyday portraiture. The First Book of Fashion demonstrates how dress – seemingly both ephemeral and trivial – is a potent tool in the right hands. Beyond this, it colorfully recaptures the experience of Renaissance life and reveals the importance of clothing to the aesthetics and every day culture of the period. Historians Ulinka Rublack's and Maria Hayward's insightful commentaries create an unparalleled portrait of sixteenth-century dress that is both strikingly modern and thorough in its description of a true Renaissance fashionista's wardrobe. This first English translation also includes a bespoke pattern by TONY award-winning costume designer and dress historian Jenny Tiramani, from which readers can recreate one of Schwarz's most elaborate and politically significant outfits.