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Ibrahima Dina Diatta; André Berchtold – International Journal of Social Research Methodology, 2023
Using secondary data has many advantages, but there are also many limitations, including the lack of relevant information. This article draws on a previous study that used secondary data to investigate substance use in young, elite athletes. Three types of missing data appeared: missing data, lack of information about the data collection process,…
Descriptors: Data Analysis, Research Problems, Data Collection, Scientific Research
Lau, Charles Q.; Sanders, Herschel; Lombaard, Ansie – Field Methods, 2019
Short message service (SMS or text messaging) surveys can collect data quickly and inexpensively. However, SMS surveys have space constraints that pose difficulties to questionnaire designers: Questions can only be 160 characters or less, surveys must be short, and many respondents use phones with small screens. In this article, we compare SMS and…
Descriptors: Questionnaires, Design, Test Construction, Computer Mediated Communication
Garvey, Jason C.; Hart, Jeni; Metcalfe, Amy Scott; Fellabaum-Toston, Jennifer – Review of Higher Education, 2019
We examine the American landscape of higher education quantitative research concerning how gender and sex demographic information is collected. We use a directed content analysis to examine the prevalence and operationalization of gender and sex among widely used higher education survey instruments. Our findings illuminate a seemingly haphazard…
Descriptors: Research Problems, Educational Research, Higher Education, Data Collection
Pichette, François; Béland, Sébastien; Jolani, Shahab; Lesniewska, Justyna – Studies in Second Language Learning and Teaching, 2015
Researchers are frequently confronted with unanswered questions or items on their questionnaires and tests, due to factors such as item difficulty, lack of testing time, or participant distraction. This paper first presents results from a poll confirming previous claims (Rietveld & van Hout, 2006; Schafer & Graham, 2002) that data…
Descriptors: Language Research, Data Analysis, Simulation, Item Analysis
Olivia Kada – Sage Research Methods Cases, 2015
'Everybody can quickly collect data using questionnaires'--this is an incorrect assumption among not only students but also veteran researchers. As a researcher and lecturer for research methods, I have more than once came across carelessly conducted studies using poorly constructed questionnaires meant to inform the implementation of…
Descriptors: Research Problems, Questioning Techniques, Behavior, Questionnaires
Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
Potsi, Autoanneta – Peter Lang Publishing Group, 2016
This book explores the Capability Approach (CA) as an alternative critical lens through which to regard early childhood education (ECE) curricula. The CA framework is a counter narrative to the narrow instrumentalism that reduces education to a mere process of academic skills acquisition for a future workplace. Primarily the book draws on the…
Descriptors: Foreign Countries, Early Childhood Education, Ability, Curriculum Design
Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
Hansen, Kirstine; Kneale, Dylan – Social Indicators Research, 2013
Income is regarded as one of the clearest indicators of socioeconomic status and wellbeing in the developed world and is highly correlated with a wide range of outcomes. Despite its importance, there remains an issue as to the best way to collect income as part of surveys. This paper examines differences in how income is collected in a nationally…
Descriptors: Foreign Countries, Poverty, Family Income, Part Time Employment
National Assessment Governing Board, 2012
For more than four decades the National Assessment of Educational Progress (NAEP) has tracked the achievement of U.S. students in major academic subjects. This national resource is the only assessment that states and now many urban districts can look to as an objective yardstick of their performance over time, relative to national benchmarks, and…
Descriptors: Academic Achievement, Data Collection, Information Needs, Needs Assessment
Goodell, John S.
Questionnaires are important research tools despite their unpopularity. They are generally less costly per response than other techniques, may elicit more candid answers, provide more time for respondents to consider their replies, and do not introduce interviewer or observer bias. The rate of return is an indication of the usefulness of a…
Descriptors: Data Analysis, Data Collection, Library Science, Questionnaires

Luloff, A. E.; And Others – Journal of the Community Development Society, 1981
This research note examines respondent-nonrespondent bias in a statewide population survey. The findings indicate general support for using master lists in the selection of respondents for participation in a large mail questionnaire survey. Two papers follow which react to this information. (Author/CT)
Descriptors: Data Analysis, Data Collection, Demography, Questionnaires
Meyer, Donald – 1969
One of six summaries of workshop sessions (See TM 000 130), designed to strengthen the evaluation of costly programs and their effects, this handbook presents an analysis of both random and nonrandom sampling errors by application of the Bayesian model. This model attempts to formalize the process and procedures of inference from data through…
Descriptors: Bayesian Statistics, Data Collection, Error Patterns, Models
Illinois State Dept. of Labor, Chicago. Bureau of Employment Security. – 1964
Sixty-two firms within 20 industries were surveyed to determine (1) a definition for the term "job vacancy," (2) the extent of job vacancy records of employers, (3) the possibility of data collection on job vacancies, and (4) the problems expected to be encountered in such a collection. After stratification of an industry by the relative size of…
Descriptors: Data Collection, Employment Opportunities, Feasibility Studies, Occupational Surveys

Frary, Jill M.; And Others – Journal of Vocational Education Research, 1981
Investigates the extent of differences among survey results obtained as responses to an initial letter, a second letter, and a third contact by telephone or handwritten letter. There were considerable differences among the results from the three different contacts, with the later respondents being more negative in their answers. (CT)
Descriptors: Data Analysis, Data Collection, Educational Research, Questionnaires