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Olanipekun, Oluwaseun L.; Zhao, JuLong; Wang, Rongdong; A. Sedory, Stephen; Singh, Sarjinder – Sociological Methods & Research, 2023
In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…
Descriptors: Correlation, Smoking, Thinking Skills, Health Behavior
Merkle, Edgar C.; Fitzsimmons, Ellen; Uanhoro, James; Goodrich, Ben – Grantee Submission, 2021
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…
Descriptors: Bayesian Statistics, Structural Equation Models, Psychometrics, Factor Analysis
Jopke, Nikolaus; Gerrits, Lasse – International Journal of Social Research Methodology, 2019
There is a need to improve the ways in which Qualitative Comparative Analysis (QCA) handles qualitative data. To this end, we propose to include ideas and routines from Grounded Theory (GT) in QCA. We will first argue that there is a natural fit between the two on the ontological level. On the methodological level, we will demonstrate in what ways…
Descriptors: Qualitative Research, Comparative Analysis, Grounded Theory, Sampling
Jacobs, Perke; Viechtbauer, Wolfgang – Research Synthesis Methods, 2017
Meta-analyses are often used to synthesize the findings of studies examining the correlational relationship between two continuous variables. When only dichotomous measurements are available for one of the two variables, the biserial correlation coefficient can be used to estimate the product-moment correlation between the two underlying…
Descriptors: Sampling, Correlation, Meta Analysis, Measurement
Stevens, John W.; Fletcher, Christine; Downey, Gerald; Sutton, Anthea – Research Synthesis Methods, 2018
A network meta-analysis allows a simultaneous comparison between treatments evaluated in randomised controlled trials that share at least one treatment with at least one other study. Estimates of treatment effects may be required for treatments across disconnected networks of evidence, which requires a different statistical approach and modelling…
Descriptors: Meta Analysis, Network Analysis, Comparative Analysis, Outcomes of Treatment
Schmitz, Tom; Bukowski, Mark; Koschmieder, Steffen; Schmitz-Rode, Thomas; Farkas, Robert – Research Synthesis Methods, 2019
Launching biomedical innovations based on clinical demands instead of translating basic research findings to practice reduces the risk that the results will not fit the clinical routine. To realize this type of innovation, a meta-analysis of the body of research is necessary to reveal demand-matching concepts. However, both the data deluge and the…
Descriptors: Innovation, Biomedicine, Medical Research, Meta Analysis
Yurtbasi, Metin – Online Submission, 2017
The aim of this article is to present to the reader a sampling (860 items) from the Qazaq phonological terminology with their equivalents in Russian, English and Turkish. There has been many linguistic studies and publications in the Qazaq sound system both by Qazaq and foreign scholars in form of books, articles and glossaries. Qazaq is a member…
Descriptors: Multilingualism, Phonetics, Phonology, Sampling
Singh, Housila P.; Tarray, Tanveer A. – Sociological Methods & Research, 2015
In this article, we have suggested a new modified mixed randomized response (RR) model and studied its properties. It is shown that the proposed mixed RR model is always more efficient than the Kim and Warde's mixed RR model. The proposed mixed RR model has also been extended to stratified sampling. Numerical illustrations and graphical…
Descriptors: Item Response Theory, Models, Efficiency, Comparative Analysis
Ferrari, Pier Alda; Barbiero, Alessandro – Multivariate Behavioral Research, 2012
The increasing use of ordinal variables in different fields has led to the introduction of new statistical methods for their analysis. The performance of these methods needs to be investigated under a number of experimental conditions. Procedures to simulate from ordinal variables are then required. In this article, we deal with simulation from…
Descriptors: Data, Statistical Analysis, Sampling, Simulation
Macho, Siegfried; Ledermann, Thomas – Psychological Methods, 2011
The phantom model approach for estimating, testing, and comparing specific effects within structural equation models (SEMs) is presented. The rationale underlying this novel method consists in representing the specific effect to be assessed as a total effect within a separate latent variable model, the phantom model that is added to the main…
Descriptors: Structural Equation Models, Computation, Comparative Analysis, Sampling
Franke, Todd Michael; Ho, Timothy; Christie, Christina A. – American Journal of Evaluation, 2012
The examination of cross-classified category data is common in evaluation and research, with Karl Pearson's family of chi-square tests representing one of the most utilized statistical analyses for answering questions about the association or difference between categorical variables. Unfortunately, these tests are also among the more commonly…
Descriptors: Evaluators, Statistical Analysis, Research Methodology, Evaluation Research
Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
Stephenson, W. Robert; Froelich, Amy G.; Duckworth, William M. – Teaching Statistics: An International Journal for Teachers, 2010
This article shows that when applying resampling methods to the problem of comparing two proportions, students can discover that whether you resample with or without replacement can make a big difference.
Descriptors: Statistical Analysis, Mathematical Concepts, Mathematics Instruction, Sampling
Henricks, Kasey – Race, Ethnicity and Education, 2016
Many Chicagoans are getting shortchanged, particularly when it comes to money exchange between the Illinois Lottery (IL) and Illinois State Board of Education (ISBE). A significant portion of lottery sales is earmarked for education in Illinois. Because these revenues are not generated equally, however, some contribute more to education via the…
Descriptors: Educational Finance, Educational Policy, Race, Social Class
Sun, Qin; Ganesh, Gopala – Journal of Education for Business, 2014
The authors intend to describe the experience of developing and teaching an online marketing research class for master of business administration students. The class has been taught for four fall semesters. Each time, the class also completed an online survey, analyzed the resulting data, and wrote a detailed report for a real client. The course…
Descriptors: Masters Degrees, Business Administration Education, Electronic Learning, Online Courses