We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…

This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To…

This study investigates the impact of different modes and tailor-made response enhancing measures (TMREM)--such as bilingual interviewers with a shared ethnic background and translated questionnaires--on the measurement of substantive variables in surveys among minority ethnic groups in the Netherlands. It also provides insight into the ability to…

Self-report is a fundamental research tool for the social sciences. Despite quantitative surveys being the workhorses of the self-report stable, few researchers question their format--often blindly using some form of Labelled Categorical Scale (Likert-type). This study presents a brief review of the current literature examining the efficacy of…

This article examines two methodological issues regarding ways of obtaining and analyzing outcome data for people with intellectual disabilities: (a) self-report and proxy-report data and (b) analysis of population-based data sets. Some people with intellectual disabilities have difficulties with self-reporting due to problems of understanding and…

Self-report survey-based data collection is increasingly carried out using the Internet, as opposed to the traditional paper-and-pencil method. However, previous research on the equivalence of these methods has yielded inconsistent findings. This may be due to methodological and statistical issues present in much of the literature, such as…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

When yes/no or multiple-choice answers do not suffice--when a qualitative understanding of a topic rather than a quantitative head count is needed--it is time to consider focus groups. They work well when learning why, how, and what for is more important than measuring how many. Focus groups are primarily an open-ended form of inquiry, enabling…

The REL Mid-Atlantic Webinar discussed the elements in a positive school climate and shared different methods for assessing school data, including the Comprehensive School Climate Inventory. The Q&A presented in this document address the questions participants had for Dr. Cohen following the webinar. The webinar recording and PowerPoint…

Response differences between phone and face-to-face procedures are small and can be ignored for most research applications. Using the appropriate methods and experienced interviewers, initial cooperation is the same on telephone and face-to-face interviews. There may be slightly higher refusal or don't know responses and shorter answers to…

Discusses how to define a welfare spell (period on welfare) and how well surveys measure welfare spells. A look at survey and administrative data from two studies shows that a substantial amount of administrative churning occurs in administrative data. A single definition of a welfare spell does not appear applicable to all respondents. (SLD)

Evaluated the accuracy of three methods used to obtain policy data: (1) government surveys; (2) secondary sources; and (3) historical legal research. Findings from a study of changes in state legislation show legal research to be most accurate for established laws, but multistage data best for recent laws. (SLD)

Discusses level 3 evaluation from Donald Kirkpatrick's Four Level Evaluation Model (level: 1-reaction; 2-learning; 3-behavior; 4-results) to measure training program performance. Highlights include an evaluation planning matrix; increasing evaluation data accuracy and reliability; data collection method selection; designing data collection…

Anonymous surveys have been widely used worldwide to describe adolescent substance use yet cannot elucidate causal drug abuse predictors. Studies in the U.S. have generally found that anonymous and confidential surveys yield comparable levels of self-reported substance use, yet the effect of survey format on youth self-report has not been…

This paper discusses some basic assumptions and issues concerning web-based surveys. Discussion includes: assumptions regarding cost and ease of use; disadvantages of web-based surveys, concerning the inability to compensate for four common errors of survey research: coverage error, sampling error, measurement error and nonresponse error; and…