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Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
Eliezer, Kopel; Peled, Einat – International Journal of Social Research Methodology, 2023
The purpose of this article is to further the methodological cross-fertilization between qualitative social science researchers and psychoanalytic theoreticians by outlining and demonstrating a method of intertextual psychoanalytic-intersubjective analysis (IPIA) in qualitative research. The authors believe that such a bridge between the…
Descriptors: Psychiatry, Qualitative Research, Data Analysis, Social Science Research
Piccarreta, Raffaella – Sociological Methods & Research, 2017
In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…
Descriptors: Data Analysis, Multivariate Analysis, Social Science Research, Factor Analysis
Baker, Bernadette – Curriculum Inquiry, 2017
The demand for evidence in particular forms shapes contemporary educational policy, curriculum studies' debates over the politics of knowledge "versus" wisdom, and research into classroom practice. This paper provides a genealogical trace that examines the arbitrary and historical linkage of discourses of vision (especially when vision…
Descriptors: Social Science Research, Educational Research, Educational Policy, Evidence
Brunton-Smith, Ian; Tarling, Roger – International Journal of Social Research Methodology, 2017
Missing data (attrition and non-response) are a feature of most surveys especially longitudinal/panel studies. And many such studies now have multilevel designs and hence multilevel data structures. Recent advances in imputation methodology now offer social researchers opportunities to address issues of missing data in a statistically principled…
Descriptors: Surveys, Case Studies, Longitudinal Studies, Institutionalized Persons
Choi, Jaehwa; Peters, Michelle; Mueller, Ralph O. – Asia Pacific Education Review, 2010
Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…
Descriptors: Rating Scales, Item Response Theory, Correlation, Behavioral Science Research

Rogosa, David – Journal of Educational Statistics, 1987
Makes a distinction in methodological work between building and applying statistical models for the processes that generate data for the social sciences and applying that data to available statistical methods. Agrees with Freeman that researchers need to think more about underlying social processes. (RB)
Descriptors: Correlation, Data Analysis, Models, Path Analysis
Boruch, Robert F. – 1976
This document discusses social survey research in which the need for identification of respondents may bring social research into conflict with the law and social custom. The paper deals with two features of the conflict--the products of such research, and the way in which privacy of the respondent can be assured regardless of the product. The…
Descriptors: Confidentiality, Correlation, Data Analysis, Evaluation Methods