By K. M. Shea

"Once upon a time Elle made a mistake. A small miscalculation sends her during the roof of an enchanted chateau. Stranded till her damaged leg mends, Elle is unwillingly compelled to depend on the great will of the bitter chateau proprietor —the cursed Prince Severin.

Prince Severin—the commanding normal and staunch supporter of his brother the crown prince—is cursed to appear like a beast till a maiden falls in love with him. He has given up all desire of shattering the curse, and has simply disdain for Elle.

Unfortunately, the pair can’t appear to keep away from one another because of the meddling of the chateau’s cursed servants. finally Elle’s playful manners and Severin’s hidden gentleness draw the pair jointly.

But no longer all love tales can finish that simply. in spite of everything, Elle isn't really what she turns out, and Severin’s lifestyles is put at risk whilst hostilities flare among his brother and the monarchs of a neighboring state. while Elle hazards every little thing to avoid wasting Severin, will he be capable of forgive her for her lies?

BEAUTY AND THE BEAST is a retelling of the normal French fairy story. it's a tale of event and prejudice set in a myth land lush with magic, assassins, princes, castles, and curses. packed with humor, deception, and fresh romance, it belongs to the Amazon most sensible promoting sequence, undying FAIRY stories. The books during this sequence occur within the similar global and will be learn all jointly, or as person, stand-alone books.


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Extra info for Beauty and the Beast (Timeless Fairy Tales, Book 1)

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Included here is a description of each goodness-of-fit statistic reported by Mplus, together with a complete breakdown of its computation. In Chapter 4, we examine another first-order CFA model, albeit this time, as it relates to the hypothesized structure of a well-established measuring instrument. In contrast to the model tested in Chapter 3, the one tested here exhibits strong evidence of model misspecification. As such, I subsequently walk you through various stages of the post hoc model-fitting process in an attempt to establish a better-fitting model that is not only statistically viable and substantively meaningful, but also addresses the issue of scientific parsimony.

If goodness-of-fit is adequate, the model argues for the plausibility of postulated relations among variables; if it is inadequate, the tenability of such relations is rejected. Several aspects of SEM set it apart from the older generation of multivariate procedures. First, as noted above, it takes a confirmatory, rather than exploratory, approach to the data analysis (although aspects of the latter can be addressed). Furthermore, by demanding that the pattern of intervariable relations be specified a priori, SEM lends itself well to the analysis of data for inferential purposes.

The one-way arrows leading from the ERROR callouts to each of the observed variables indicate the impact of measurement error (random and unique) on the observed variables. Likewise, the single-headed arrow leading from the RESIDUAL callout to the endogenous factor represents the impact of error in the prediction of PEER RELATIONS. , structural) equations. Because (a) regression equations represent the influence of one or more variables on another, and (b) this influence, conventionally in SEM, is symbolized by a single-headed arrow pointing from the variable of influence to the variable of interest, we can think of each equation as summarizing the impact of all relevant variables in the model (observed and unobserved) on one specific variable (observed or unobserved).

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