The leaders of Networks for School Improvement (NSIs) have complex, challenging jobs which require constant learning and adaptation. To support these leaders, the contributors to this volume have developed a survey-based data visualization system--the Improvement Network Health Development (INHD) Information System--designed to generate insight…

This study investigates the effect of survey order in measuring self-reported cognitive load. Understanding how survey order influences responses is crucial, but it has been largely overlooked in the context of cognitive load. Using a 2 × 2 experimental design with 319 high school students, the study manipulated intrinsic cognitive load (ICL)…

Previous research on grid questions has mostly focused on their comparability with the item-by-item method and the use of shading to help respondents navigate through a grid. This study extends prior work by examining whether lexical similarity among grid items affects how respondents answer the questions in an experiment where we manipulated…

Children's fears have received scholarly attention for well over 50 years. A considerable amount of literature has focused on such fear variables as fear intensity and fear prevalence scores and age and gender differences. We used meta-analysis to systematically review the findings related to gender differences in children's fear intensity scores…

Grouped and right-censored (GRC) counts have been used in a wide range of attitudinal and behavioural surveys yet they cannot be readily analyzed or assessed by conventional statistical models. This study develops a unified regression framework for the design and optimality of GRC counts in surveys. To process infinitely many grouping schemes for…

The objective of our project was to develop a smartphone app for administering shorter ("modular") surveys. Given the paucity of research on this topic, we decided to use "co-design" techniques to generate design solutions. To implement these techniques, we recruited respondents in the survey target population to work in small…

Mixed-mode surveys are popular as they can save costs and maintain (or improve) response rates relative to single-mode surveys. Nevertheless, it is not yet clear how design decisions like survey mode or questionnaire length impact measurement quality. In this study, we compare measurement quality in an experiment of three distinct survey designs…

Controlling unwanted annual bluegrass (Poa annua L.) in desirable turfgrass species often relies heavily on herbicide use. As a result, increasing populations of herbicide-resistant annual bluegrass have become a concern. In 2018, a university research and extension initiative began addressing the increasing herbicide-resistant annual bluegrass…

Adaptive survey design refers to using targeted procedures to recruit different sampled cases. This technique strives to reduce bias and variance of survey estimates by trying to recruit a larger and more balanced set of respondents. However, it is not well understood how adaptive design can improve data and survey estimates beyond the…

Randomized response techniques (RRTs) are useful survey tools for estimating the prevalence of sensitive issues, such as the prevalence of doping in elite sports. One type of RRT, the unrelated question model (UQM), has become widely used because of its psychological acceptability for study participants and its favorable statistical properties.…

This academic article provides the essential steps for designing an effective English questionnaire in social science research, with a focus on ensuring clarity, cultural sensitivity and ethical integrity. Developed from key insights from related studies, it outlines potential practice in questionnaire design, item development and the importance…

Responsive survey design is a technique aimed at improving the efficiency or quality of surveys by using incoming data from the field to make design changes. The technique was pioneered on large national surveys, but the tools can also be applied on the smaller-scale surveys most commonly used by sociologists. We demonstrate responsive survey…

When and how to survey potential respondents is often determined by budgetary and external constraints, but choice of survey modality may have enormous implications for data quality. Different survey modalities may be differentially susceptible to measurement error attributable to interviewer assignment, known as interviewer effects. In this…

The Attention, Relevance, Confidence, and Satisfaction or ARCS model is an effective motivational model that has been widely accepted by education practitioners. Literature on the ARCS model has focused primarily on aspects of educational settings, research methods, and outcomes. However, few studies have addressed the applications of the ARCS…

When education leaders utilize survey results to inform their decisions, they are often left wondering if the "right" survey questions were asked. To help state and local leaders improve existing instruments or create better instruments for data collection, this quick reference guide highlights best practices in designing effective…