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This article is dedicated to the discriminant analysis - a statistical method that allows to test differences between groups of observations (two or more), based on a set of selected independent variables (predictors). It may be effectively applied to various fields of social sciences and practice (psychology, sociology, political science, economy, law). Linear combination of independent variables, obtained on a basis of the discriminant analysis model, serves as a criterion of assigning observations to different groups. Information carried by an independent variables is saved in a synthetic form as discriminant function scores. Discriminant analysis may have two goals: discrimination (separation) and classification (allocation). In the first case, a researcher tries to explain causes of differences between groups of observations by making use of their characteristics available as "disciriminating" variables. In the second case, a researcher seeks to find a mathematical equation, that combines observation's group characteristics in order to effectively predict the unknown group category to which an observation belongs. First part of the article contains a general description of the statistical model; the second one includes two empirical examples of its application - for two and for four groups of observations.
EN
The Right-Wing Authoritarianism Scale (RWA), developed by Robert Altemeyer, is the most popular measure of authoritarianism. According to many critics, RWA scale measures mostly conservative-traditional ideology, characteristic for the radical Right. Such opinion is inconsistent with Altemeyer’s position, who clearly distinguishes between authoritarianism and conservative ideology. However, if it was true, it would also run contrary to basic principles of scientific reasoning. Researchers could not be certain whether their conclusions, drawn from the RWA score, concern authoritarianism or the right-wing worldview. The author made an attempt to answer the doubts by analyzing the – fundamental for the theory of authoritarianism – relationship between RWA and ethnocentrism. He presents several analysis based on data from a survey conducted on the random sample of adult Poles (N = 400). The results show that cumulative effect of rightwing ideology contained in RWA explains 60 percent of the RWA variance, with the remaining 40 percent due to effects of non-ideological factors. Further analyses prove that the right-wing authoritarianism cannot be seen as the main source of the ethnocentric in-group bias and out-group hostility. It seems then that it is not the RWA but the contained in the RWA large loading of the conservative-traditional world view which is responsible for ethnocentric attitudes. In the light of the presented results one may claim that the utility of the RWA scale is doubtful.
EN
This article is concerned with the relationship between adult attachment styles and generalized negativistic social beliefs (i.e. pessimistic expectations concerning human nature and interpersonal relations). Two general dimensions of attachment styles, avoidance and anxiety, are considered to be manifestations of an individual’s image of other people and of the self, respectively. We suggest that both dimensions may be a substantial basis for formulating negative beliefs about the social world. Firstly, we believe that a high level of negativistic social beliefs can be positively predicted by the growth of avoidance (negative image of others) and anxiety (negative image of self). Secondly, we formulate an expected interaction effect. Although the nature of such an interaction is ambiguous, it may be argued as having a synergistic as well as antagonistic pattern. These hypotheses were tested and supported (in favor of an antagonistic pattern of interaction in the case of the second hypothesis) on a representative sample of adult Poles (N = 853).
EN
Independence of observations is one of the key assumptions underlying regression analysis and other methods based on the general linear model. The assumption of independence of observations is met, when a score on an outcome variable obtained by an individual is not dependent on results of other persons. This article introduces the hierarchical linear modeling (HLM) - statistical method that is recommended, when there is a real chance, that the assumption of observations' independence is violated. The structure of our article is threefold. In the first part we present basic methodological reasons for applying HLM method, stressing its advantages in comparison to the traditional regression analysis based on the ordinary least squares estimation. The second part introduces the most important theoretical notions underlying hierarchical models - a division into fixed and random effects, a multilevel data structure (including cross-level interaction), and a specific approach to variance components. In the third part we show two empirical examples of HLM application, including a detailed interpretation of their results.
EN
The article presents a multi-layered analysis that seeks to identify psychological sources of social Darwinism – the syndrome of negative beliefs about human nature and social world. The article described research that explores potential relationships between different domains of psychological life and the darwin-like beliefs. The authors inquire into psychological factors that lead people to perceive the social world as a jungle. They point to several fields, where one may find important predictors of social darwinism: 1) positive and negative experiences with people, disappointment by significant persons); 2) stable personality traits (agreeableness, openness to experiences, tough-mindedness); 3) personal values (individualism-collectivism, humanism-materialism, conservatism); and 4) various forms of embeddedness in national and civic community (patriotism, nationalism, symbolic and instrumental engagement). The analysis based on three survey research confirmed the hypothesized relationships between darwin-like beliefs and the four mentioned categories of psychological factors.
PL
Artykuł przedstawia polską adaptację skali do pomiaru konfliktu Praca-Dom (WFC) i Dom-Praca (FWC) autorstwa Dawn Carlson i współpracowników (2000). Praca koncentruje się na trzech aspektach psychometrycznych właściwości narzędzia: rzetelności, trafności czynnikowej i trafności teoretycznej. W części empirycznej wykorzystano dane z badania przeprowadzonego na grupie 261 osób pracujących na stanowiskach kierowniczych różnego szczebla. Analizy korelacyjne wskazują, że zarówno wskaźniki globalne, jak i podskale mierzące różne formy konfliktu, posiadają zadawalającą rzetelność wewnętrzną. Rezultaty konfirmacyjnej analizy czynnikowej pokazują z kolei, że model Carlson, w porównaniu do szeregu alternatywnych modeli, odznacza się największą trafnością czynnikową. Pomimo pewnych mankamentów globalne wymiary WFC i FWC oraz ich subwymiary posiadają szereg zewnętrznych ko-relatów, których wzorzec wskazuje na dość wysoką trafność teoretyczną narzędzia.
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