Per una survey integrata e multilivello. Le lezioni dimenticate della Columbia School

2013 ◽  
pp. 22-64
Author(s):  
Sergio Mauceri

The main idea expressed in this article refers to - and elaborates on - the contributions of the Bureau of Applied Social Research and of its mentor and founder Paul Lazarsfeld. It underlines the importance of how, in social research, it is necessary to develop and maintain a multilevel and integrated approach to surveys. Using sociometry and contextual analysis in the design of surveys, enables us to connect three levels of observation/study - individual, relational and contextual - which are often kept isolated and separate in social research. A standard approach to surveys creates casual samples of individuals, as if they were isolated units living in social emptiness, and limits itself to conduct data analysis that creates relations between individual variables. This integrated multilevel approach is instead the solution proposed to overcome the atomism and micro-sociological reductionism of this standard approach to surveys.

2009 ◽  
pp. 109-157
Author(s):  
Sergio Mauceri

- This article contains a reflection that intends to assert the heuristic fertility of integrating common procedural models with analysis of deviant cases. This analysis was originally proposed by Paul F. Lazarsfeld and promoted between the '40s and the '60s at Columbia School, without much impact on quantitative social research circles. Deviant cases are cases that do not display expected behaviour or attitudes. Instead of considering deviant cases irrelevant because they are residual, this procedural strategy accentuates their importance and promotes an in-depth study to maximize data quality and support interpretation processes of research results.


2020 ◽  
Vol 6 (Extra-B) ◽  
pp. 46-51
Author(s):  
Usmanova Liliya Abrarovna ◽  
Minakhmetova Aliya Ildarovna ◽  
Arkin Rosy Artuchi

This article is devoted to the linguoculturological competence development among schoolchildren in the process of teaching the Russian language. The object of scientific consideration was the lexeme "rainbow", which refers to the most ancient layer of words and has a deep national and cultural specificity. In accordance with the set tasks of our work, we used descriptive-analytical, stylistic, component, distributive methods of data analysis, the method of the semantic field. An integrated approach to the study of the lexeme "rainbow" implies a multifaceted analysis, including the analysis of dictionary definitions, collection of etymological information, consideration of word-formation relations, study of the paremiological status of a word, its discursive features, identification of traditional and individual author's meanings and, thus, reflection in the form of creative work of students, reflecting the information received about this lexeme... An upbringing approach in Russian language lessons helps students discover aesthetic ways of understanding the world, without which it is impossible to describe the Russian language picture of the world.    


2021 ◽  
pp. 247-270
Author(s):  
Owen L. Petchey ◽  
Andrew P. Beckerman ◽  
Natalie Cooper ◽  
Dylan Z. Childs

In the previous chapter we looked at individual variables; however, a sample may involve more than one variable. Moreover, data analysis is usually concerned with the relationships among two or more variables. These relationships might involve the same (e.g. numeric versus numeric) or different (e.g. numeric versus categorical) types of variable. In either case, we need to understand how the values of one variable relate to and/or depend on those of the other. Just as with single-variable analyses, we use both descriptive statistics and graphical summaries to explore such relationships. This chapter focuses on associations between variables. An association is any relationship between two variables that makes them dependent, i.e. knowing the value of one variable gives us some information about the possible values of the second variable. The main goal of this chapter is to show how to use descriptive statistics and visualizations to explore associations among different kinds of variables.


Author(s):  
Michael J. Saks

This chapter offers an overview of the early interweaving of law with social psychology and related social sciences on topics such as judicial decision-making, jury decision-making, eyewitness identification, procedural justice, persuasion, negotiation, psychological foundations of evidence, and the psychology of expert testimony and of aspects of the tort litigation system. Briefly discussed are the author’s two books—Social Psychology in Court and The Use/Nonuse/Misuse of Applied Social Research in the Courts—from the founding era that gathered together much of that already rich variety of work. The final third of the chapter describes some of the recent continuing work on a number of those topics.


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