Awkward Family Holiday Photos by Mike Bender, Doug Chernack

By Mike Bender, Doug Chernack

From the authors of the New York Times bestsellers Awkward kin photographs and Awkward kin puppy Photos comes a party of these particular instances all year long whilst our households embarrass us the main . . . the holidays.

Holidays. They’re these momentous events after we assemble with relations to devour, drink, have fun, and, after all, pose for images. From Mom’s selfmade Halloween costumes to re-creating a Nativity scene for the Christmas card to that overly patriotic uncle who actually wears the flag at the Fourth, vacation trips make for humiliating thoughts that we supply in our hearts for years yet to come. no matter if your loved ones loves Valentine’s Day, St. Patrick’s Day, Easter, July Fourth, Halloween, Thanksgiving, Christmas, or Hanukkah, this e-book will pay homage to all the holidays’ such a lot uncomfortable moments.

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Ahmadjian, V. (2000). ). New York: Oxford University Press. , & Gerstorf, D. (2009). Time structured and net intraindividual variability: Tools for examining the development of dynamic characteristics and processes. Psychology and Aging, 24, 778–791. 36 N. Ram et al. , & Nesselroade, J. R. (2007). Modeling intraindividual and intracontextual change: Operationalizing developmental contextualism. In T. D. Little, J. A. Bovaird, & N. A. ), Modeling contextual effects in longitudinal studies (pp.

While the differences in these dynamic characteristics are interesting in their own right (see Ram and Gerstorf 2009), our main interest here was in describing the dynamics of the family system. Thus, we set these differences aside by standardizing each time-series to a Mean = 0 and SD = 1. This removes the “distraction” of needing to interpret the usual “static” features of the time-series, keeps us focused on the dynamics, and allows for easy comparison of those dynamics across bursts and persons.

Pedersen, A. B. (2008). Dyadic models emerging from the longitudinal structural equation modeling tradition: Parallels with ecological models of interspecifc interactions. In N. A. Card, J. P. Selig, & T. D. ), Modeling dyadic and interdependent data in the developmental and behavioral sciences (pp. 87–105). New York: Routledge. Ramsay, J. , & Campbell, D. (2007). Parameter estimation in ordinary differential equations: A generalized smoothing approach. Journal of the Royal Statistical Society, 69, 741–796.

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