Chapter 8 covers statistical techniques that are used for describing and finding relationships among variables. They can be used to evaluate the effects of an independent variable on a dependent variable. We discuss student t test, analysis of variance (ANOYA), and analysis of covariance (ANCOYA).Part II discusses statisticalmea...
A multidisciplinary review, crossing various approaches to urban biodiversity has been carried out, focusing both on the concepts (fragmentation, species richness, habitat structure, pattern analyses) and the research methods used and their outputs. This opens a discussion in which variables are ...
PS, philosophical-spiritual (D), EMSS, emotional-social (E), and PSTQ, physical-spatio-temporal-quantitative (F) concepts, showing the row frequency count of the variable number of questions (dodger blue), the percentage of the other coded variables concerning conversation i.e., uncertainty exp...
In educational psychology research, the expectancy–value model has most prominently featured subjective values as important determinants of achievement-related variables (Eccles et al., 1983; Wigfield & Eccles, 2000). The expectancy–value model encompasses not only attainment value, which is defined...
Research into chronic conditions with complex analysis of a number of distinct contributory variables has been published of late. However, the excessive focus on South Asians and the record of measuring, analysing, but not necessarily tackling health disadvantage, are problems that remain to be ...
A linear regression model with four predictor variables developed a mapping between the ratings along the four dimensions (factors) of all but one concept and the mean fMRI activation level in each of the 30 factor clusters/locations for that concept. (The mean activation for a cluster was ...
Therefore, we computed the correlation of three variables across two data sets to see whether the results are still significant. The NoRaRe collection was filtered by variables to find lists with the same norms, ratings, and relations. We found several data sets that included ratings on ...
However, results of this study show also that 'background' variables are indeed moderating each other, which are contingent upon the specific ethical perceptions concerned. As a first step for the development of a knowledge base for future professional training and socialization, findings of this ...
Many medical statistics, such as the odds ratio and the risk ratio (discussed in Chapter 15), were developed to describe the relationship between two binary variables because binary variables occur so frequently in medical research. Ordinal Data Ordinal data refers to data that has some meaningful...
Due to the very complex nature of networked systems and the large number of variables defining their states, it is not possible to consider all events in the set E and obtain a closed-form expression for R, even if all design parameters are made homogeneous across nodes, links and time. ...