Features of attachment in father- daughter relationship and depressive symptoms in daughters among emerging adults

This study investigated the features of attachment in father-daughter relationships and their association with depressive symptoms in daughters during emerging adulthood. Drawing on attachment theory, 116 daughters from an existing data set who completed the Inventory of Parent and Peer Attachment (IPPA) and Center for Epidemiologic Studies Depression Scale (CESD) was used to examine whether father-daughter trust, communication and alienation predict depressive symptoms in daughters. Data were analyzed using correlation and multiple linear regression. Findings indicated that alienation significantly predicted depressive symptoms negatively while trust and communication did not support the proposed hypotheses, they did not significantly predict depressive symptoms

Session B2- Building a fishway for Lake Sturgeon: Successful testing of a prototype upstream fishway on the Menomine River in Northern Wisconsin

Historically, lake sturgeon (Acipenser fulvescens) were abundant in Lake Michigan with free and unobstructed access to the feeding and spawning areas within its many tributaries. Construction and operation of hydroelectric dams has impeded this access. One method for re-establishing this lost connection is to create an artificial pathway such as a fish passage facility. To help answer some basic questions, such as will sturgeon use a fishway, we constructed a prototype fish passage structure below a hydroelectric dam on the Menominee River in northern Wisconsin. This hydroelectric facility is located near Amberg, Wisconsin and owned by We Energies. The structure was designed with a ramp to a 1.07 meters per second (mps). The structure was equipped with a Passive Integrated Transponder tag (PIT tag) reader antenna and underwater video cameras equipped with infrared lights. All monitoring equipment were installed and activated before the start of the 2009 spring spawning season 9mid-April) and removed following the 2010 autumn migration (mid-October). PIT tag records indicated that 86 tagged lake surgeon used the passage structure in 2009 and 112 in 2010, with many sturgeon going through the structure multiple times. Video data verified these results and also indicated that these sturgeon moved through the structure rather quickly (mean = 3 sec in camera view). Extrapolated to the whole sturgeon population, nearly 20% of the spawning population went through the prototype fishway in 2009 and 24% in 2010. For both years of the study, larger sturgeon were observed during the spring spawning season versus the remainder of the year, 25.4 centimeters longer on average. In 2010, the structure was fitted with a V-trap (45.7 cm gap width with 0.46 mps constant water velocity) to test whether these fish can be trapped in an elevator hopper. Those results indicate both small and large sturgeon (as small as 49.5 cm and as large as 142.2cm, respectively) will pass through a 45.7 cm wide V-trap opening without hesitation. Video and PIT tag results indicated that sturgeon can be successfully attracted to and passed through a prototype upstream fish passage facilities currently planned for lake sturgeon in the Midwest

WPA 2024 Statistics Workshop: Mediation & Statistical Power Analysis

An Introduction Mediation Analysis and Statistical Power for Mediation PROCESS Macro: https://www.processmacro.org/download.html Abstract: This workshop will provide a hands-on, interactive introduction to statistical mediation analysis, appropriate for those familiar with multiple regression. Statistical mediation analysis is widely used across areas of psychology. It is informative for answering questions of how, why, or through what process some effect occurred. In this workshop we will use the PROCESS macro (freely available for SPSS, SAS, and R) to estimate the effects most informative to mediation: total effects, direct effects, and indirect effects. We will discuss how these models are estimated and how to make inference about the indirect effect and offer suggestions for how to write about mediation analysis and best practices for conducting this type of analysis. Additionally, we will discuss considerations for statistical power, and go through an example power analysis for sample size planning in mediation

Agree with me, K? Interrater Reliability Using Cohen\u27s Kappa

This project explores interrater reliability, which is the level of agreement between two coders. Specifically, we look at the mathematics behind Cohen\u27s Kappa and its extensions, which are ways of measuring the agreement. Functions to calculate the statistic are coded in R, and an example application is given from psychological research

Impacts of Model Specification on Statistical Power and Type I Error Rate in Moderated Mediation Analysis

Moderated mediation models are used commonly in psychological research and other academic fields to model how and when effects occur. Researchers must choose which paths from the mediation model are moderated when specifying this type of model. This dissertation examines how model specification impacts statistical power and type I error rate for the index of moderated mediation. In a meta-analytic review, we found that six model specifications account for 85% of published moderated mediation analyses, so this dissertation focuses on those six models. When considering power and type I error rate, two attributes matter: the data analysis model, and the data generating process (DGP). In reference to the DGP, the data analysis model can either be correctly specified, over-specified, under-specified, or completely misspecified. A Monte Carlo simulation study was run to examine the impacts of model specification on power and type I error rate, and results were analyzed using multi-level logistic regression along with figures and tables. Over-specified models had lower statistical power to detect a significant index of moderated mediation compared to correctly specified models. Under-specified models had slightly higher power when moderation on the direct effect was omitted, but otherwise, under-specified models had much lower power than correctly specified models. Parameter bias was also unacceptably high for most under-specified models. Completely misspecified models generally still had acceptable type I error rates, with a notable exception of inflated type I error rates where moderation was omitted from the direct effect. Overall, while many published moderated mediation models may not have large enough sample sizes for adequate statistical power, over-specifying or under-specifying models can lead to lower statistical power as well, while complete model misspecification risks an inflated type I error rate

I’m Guilty and I Need to Talk About It

Examination of guilt-proneness and disclosure regarding personal transgression