Effect size

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    was discovered as a plus-size model on Instagram, can be found gracing the pages of Vogue Italia, as well as other plus-size models like Ashley Graham, Vogue’s first plus-size cover girl. Seven years is relatively short time for plus-size people to push their way to the front of the fashion industry and it’s all because of one little thing—social media. The first thing to address is the term plus-size. The fashion industry infamously begins tacking on the plus at size 8. According to the CDC, in

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    For many years there has been size discrimination amongst the fashion industry. Some companies want to say that women are too big or too skinny. Yet this may be true in some cases, this does not mean that their assumptions should affect who can and cannot model. When fashion industries are picking models, they should consider that not every woman is the same size and their weight, if healthy, should not affect their chances of becoming a model. A new study in the NCA’s Communication Monographs

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    different weighting methods for combining effect sizes across studies when conducting meta-analysis. This section will focus on methods used for binary outcome data and effect measures such as relative risks and odds ratios. The section will first introduce fixed effect and random effects analyses. It will then describe weighting methods that can be used for these analytic approaches. Fixed effect versus random effects analyses Fixed effect and random effects models are the two most common approaches

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    Literature Review Current research available on the effects of restorative justice on juvenile recidivism range from meta-analyses of multiple studies to individual program studies. According to Bradshaw and Roseborough (2005), “The use of meta-analytic methods provides a useful means for summarizing diverse research findings across restorative justice studies and synthesizing these findings in an objective manner.” (p. 19). Four meta-analytic studies reveal an overall reduction in juvenile recidivism

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    Statistical Significance

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    Journal of Counseling Psychology 1983, Vol. 30, No, 3,459-463 Copyright 1983 by the American Psychological Association, Inc. Statistical Significance, Power, and Effect Size: A Response to the Reexamination of Reviewer Bias Bruce E. Wampold Department of Educational Psychology University of Utah Michael J. Furlong and Donald R. Atkinson Graduate School of Education University of California, Santa Barbara In responding to our study of the influence that statistical significance has

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    The Major Problem With NHST Kirk (1996) had major criticisms of NHST. According to Kirk, the procedure does not tell researchers what they want to know: In scientific inference, what we want to know is the probability that the null hypothesis (H0) is true given that we have obtained a set of data (D); that is, p(H0|D). What null hypothesis significance testing tells us is the probability of obtaining these data or more extreme data if the null hypothesis is true, p(D|H0). (p. 747) Kirk (1996) went

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    have become interested in the role of photography on psyche and behaviour. Henkel's interest leads to a study exploring influences of photography on memories of a museum tour, testing effects of viewing conditions on memory measures. Henkel's (2013) study is designed to determine if photographing objects effects recall of object features and location. Participants were given a guided tour of a museum, and either observed or photographed objects. If photographs were zoomed, more details about the

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    research. They include to estimate a population effect-size parameter and to increase the precision of the estimate of the effect size parameter (Cohn & Becker, 2003). There are two types of meta-analyses. They include fixed effect model and random effects model (Borenstein, Hedges, & Rothstein, 2007). Fixed effects models deals with only one true effect size in which all of the studies that are used whereas random effects refers to when the true effect varies between each individual study that is pulled

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    Description of Triple P- Positive Parenting Program Program Goals/Program Theory Triple P – Positive Parenting Program is a comprehensive parent-training program with the purpose of reducing child maltreatment and children’s behavioral problems. It is built upon a public health approach and as such was designed to treat large populations. The five core principles taught to parents are: • Ensure a safe and engaging environment. • Promote a positive learning environment. • Use assertive discipline

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    non-pain related interpretations. The results did not support the hypothesis that chronic musculoskeletal pain participants, compared to healthy control participants, would interpret ambiguous real-world images in pain-related ways. No significant effects were found for written responses or endorsement of statements. Interpretation bias has been found in studies using homophone, homonym, and the word-stem completion task. For example, Pincus et al. (1994) found individuals with chronic pain made more

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