To test the hypothesis, a polynomial regression

function

To test the hypothesis, a polynomial regression

function of n degree (n = number of occasions minus 1) was used to model the outcome variables as a function of time for both level 2 (dyads) and level 1 (measurements; Plewis, 1996). As we were interested in linear and curvilinear (squared and cubic) trends, the average developmental curve was modeled by a third-degree polynomial function written as follows: To control for the influence of background variables, the effects of infant’s gender and birth order as well as the interaction effects between each of these two variables and the infant’s age were tested. These effects were analyzed when significant. Finally, a more elaborate regression model was explored for language coregulation patterns. To be specific, we asked whether, after controlling R788 manufacturer for the effect of the infants’ gender and the three (linear, quadratic, and cubic) effects of age, the direct effect of symmetrical

coregulation as well as its interaction with the linear effect of age still predicted language proportional duration. This model is known as the Full Model to distinguish it from the Base Model that includes Atezolizumab in vivo the same effects investigated for all the other coregulation patterns. Mother–infant unilateral, asymmetrical, and symmetrical coregulation were analyzed first, according to the Fogel’s (1993) original coding system; then, symmetrical coregulation was analyzed in more detail using the subcategories created for this purpose (see the Method section). Our first hypothesis was that there are age effects on dyadic coregulation in mother–infant joint activity during the second year of life. In particular, we expected unilateral patterns to prevail at an earlier period and symmetrical to prevail later. Asymmetrical patterns were supposed to be a transient frame between the two, emerging first, then peaking, and then declining. With respect to group data (fixed effects; Table 2), the intercept parameters were

significant for unilateral, asymmetrical, and symmetrical patterns (χ2[1] = 79.17, p < .001; χ2[1] = 87.64, p < .001; χ2[1] = 60.44, p < .001, respectively); the linear effect of age (β1) was significant for each pattern (χ2[1] = 7.79, p < .01; χ2[1] = 7.06, Adenylyl cyclase p < .01; χ2[1] = 12.20, p < .01, respectively); and a quadratic effect (β2) was significant for asymmetrical and symmetrical patterns (χ2[1] = 16.81, p < .01; χ2[1] = 7.21, p < .01, respectively). As in Figure 1, unilateral and asymmetrical patterns decreased during the second year of life, whereas symmetrical increased. In particular, unilateral prevailed at the beginnings of the year and decreased gradually and linearly, whereas symmetrical increased rapidly (but nonlinearly) and crossed over unilateral at around the 20th month. Asymmetrical patterns were a little more frequent than symmetrical at the beginning, they then decreased rapidly and remained very low until the end.

This entry was posted in Antibody. Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>