Subjects -> MATHEMATICS (Total: 1013 journals)
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    - PROBABILITIES AND MATH STATISTICS (113 journals)

PROBABILITIES AND MATH STATISTICS (113 journals)                     

Showing 1 - 98 of 98 Journals sorted alphabetically
Advances in Statistics     Open Access   (Followers: 9)
Afrika Statistika     Open Access   (Followers: 1)
American Journal of Applied Mathematics and Statistics     Open Access   (Followers: 11)
American Journal of Mathematics and Statistics     Open Access   (Followers: 9)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annual Review of Statistics and Its Application     Full-text available via subscription   (Followers: 7)
Applied Medical Informatics     Open Access   (Followers: 11)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
Asian Journal of Probability and Statistics     Open Access  
Austrian Journal of Statistics     Open Access   (Followers: 4)
Biostatistics & Epidemiology     Hybrid Journal   (Followers: 4)
Cadernos do IME : Série Estatística     Open Access  
Calcutta Statistical Association Bulletin     Hybrid Journal  
Communications in Mathematics and Statistics     Hybrid Journal   (Followers: 4)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics: Case Studies, Data Analysis and Applications     Hybrid Journal  
Comunicaciones en Estadística     Open Access  
Econometrics and Statistics     Hybrid Journal   (Followers: 1)
Forecasting     Open Access   (Followers: 1)
Foundations and Trends® in Optimization     Full-text available via subscription   (Followers: 3)
Frontiers in Applied Mathematics and Statistics     Open Access   (Followers: 1)
Game Theory     Open Access   (Followers: 2)
Geoinformatics & Geostatistics     Hybrid Journal   (Followers: 14)
Geomatics, Natural Hazards and Risk     Open Access   (Followers: 13)
Indonesian Journal of Applied Statistics     Open Access  
International Game Theory Review     Hybrid Journal   (Followers: 1)
International Journal of Advanced Statistics and IT&C for Economics and Life Sciences     Open Access  
International Journal of Advanced Statistics and Probability     Open Access   (Followers: 7)
International Journal of Algebra and Statistics     Open Access   (Followers: 3)
International Journal of Applied Mathematics and Statistics     Full-text available via subscription   (Followers: 3)
International Journal of Ecological Economics and Statistics     Full-text available via subscription   (Followers: 4)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 3)
International Journal of Game Theory     Hybrid Journal   (Followers: 3)
International Journal of Mathematics and Statistics     Full-text available via subscription   (Followers: 2)
International Journal of Multivariate Data Analysis     Hybrid Journal  
International Journal of Probability and Statistics     Open Access   (Followers: 4)
International Journal of Statistics & Economics     Full-text available via subscription   (Followers: 6)
International Journal of Statistics and Applications     Open Access   (Followers: 2)
International Journal of Statistics and Probability     Open Access   (Followers: 3)
International Journal of Statistics in Medical Research     Hybrid Journal   (Followers: 5)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Iraqi Journal of Statistical Sciences     Open Access  
Japanese Journal of Statistics and Data Science     Hybrid Journal  
Journal of Biometrics & Biostatistics     Open Access   (Followers: 4)
Journal of Cost Analysis and Parametrics     Hybrid Journal   (Followers: 5)
Journal of Environmental Statistics     Open Access   (Followers: 4)
Journal of Game Theory     Open Access   (Followers: 1)
Journal of Mathematical Economics and Finance     Full-text available via subscription  
Journal of Mathematics and Statistics Studies     Open Access  
Journal of Modern Applied Statistical Methods     Open Access   (Followers: 1)
Journal of Official Statistics     Open Access   (Followers: 2)
Journal of Quantitative Economics     Hybrid Journal  
Journal of Social and Economic Statistics     Open Access  
Journal of Statistical Theory and Practice     Hybrid Journal   (Followers: 2)
Journal of Statistics and Data Science Education     Open Access   (Followers: 2)
Journal of Survey Statistics and Methodology     Hybrid Journal   (Followers: 4)
Journal of the Indian Society for Probability and Statistics     Full-text available via subscription  
Jurnal Biometrika dan Kependudukan     Open Access  
Jurnal Ekonomi Kuantitatif Terapan     Open Access  
Jurnal Sains Matematika dan Statistika     Open Access  
Lietuvos Statistikos Darbai     Open Access  
Mathematics and Statistics     Open Access   (Followers: 2)
Methods, Data, Analyses     Open Access   (Followers: 1)
METRON     Hybrid Journal   (Followers: 1)
Nepalese Journal of Statistics     Open Access  
North American Actuarial Journal     Hybrid Journal   (Followers: 1)
Open Journal of Statistics     Open Access   (Followers: 3)
Open Mathematics, Statistics and Probability Journal     Open Access  
Pakistan Journal of Statistics and Operation Research     Open Access   (Followers: 1)
Physica A: Statistical Mechanics and its Applications     Hybrid Journal   (Followers: 6)
Probability, Uncertainty and Quantitative Risk     Open Access   (Followers: 2)
Ratio Mathematica     Open Access  
Research & Reviews : Journal of Statistics     Open Access   (Followers: 3)
Revista Brasileira de Biometria     Open Access  
Revista Colombiana de Estadística     Open Access  
RMS : Research in Mathematics & Statistics     Open Access  
Romanian Statistical Review     Open Access  
Sankhya B - Applied and Interdisciplinary Statistics     Hybrid Journal  
SIAM Journal on Mathematics of Data Science     Hybrid Journal   (Followers: 1)
SIAM/ASA Journal on Uncertainty Quantification     Hybrid Journal   (Followers: 2)
Spatial Statistics     Hybrid Journal   (Followers: 2)
Sri Lankan Journal of Applied Statistics     Open Access  
Stat     Hybrid Journal   (Followers: 1)
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica     Open Access   (Followers: 6)
Statistical Analysis and Data Mining     Hybrid Journal   (Followers: 23)
Statistical Theory and Related Fields     Hybrid Journal  
Statistics and Public Policy     Open Access   (Followers: 4)
Statistics in Transition New Series : An International Journal of the Polish Statistical Association     Open Access  
Statistics Research Letters     Open Access   (Followers: 1)
Statistics, Optimization & Information Computing     Open Access   (Followers: 3)
Stats     Open Access  
Synthesis Lectures on Mathematics and Statistics     Full-text available via subscription   (Followers: 1)
Theory of Probability and its Applications     Hybrid Journal   (Followers: 2)
Theory of Probability and Mathematical Statistics     Full-text available via subscription   (Followers: 2)
Turkish Journal of Forecasting     Open Access   (Followers: 1)
VARIANSI : Journal of Statistics and Its application on Teaching and Research     Open Access  
Zeitschrift für die gesamte Versicherungswissenschaft     Hybrid Journal  

           

Similar Journals
Journal Cover
Methods, Data, Analyses
Number of Followers: 1  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1864-6956 - ISSN (Online) 2190-4936
Published by GESIS - Leibniz Institute for the Social Sciences Homepage  [1 journal]
  • New Methodical Findings on D-Efficient Factorial Survey Designs: Impacts
           of Design Resolution on Aliasing and Sample Size

    • Authors: Julia Kleinewiese
      First page: 19
      Abstract: In empirical surveys, finding a sufficient number of respondents can be challenging. For factorial survey experiments, drawing a vignette-sample (“fraction”) from a vignette-uni­verse can reduce the minimum number of respondents required. Vignette-samples can be drawn by applying D-efficient designs. Theoretically, D-efficient resolution V designs are ideal. Due to reasons of practicability, however, resolution IV designs have usually been applied in empirical social research and are considered to be sufficient when it is clear up front, which two-way interactions are likely to have an effect. Against this backdrop, this article focusses on two research questions: (1) In resolution IV designs, are those two-way interactions that are not orthogonalized truly not aliased with any main effects' (2) How does design resolution affect the minimum size of the vignette-sample that is necessary for achieving an adequate level of D-efficiency' These questions are examined by apply­ing SAS-macros for computing D-efficient samples, pre-construction assessment and post-construction evaluation. The resulting aliasing structures indicate a discrepancy between previous definitions of design resolutions and the aliasing structures of designs resulting from the SAS-macros. Additionally, they suggest taking a second look at the assumption that higher resolutions or larger vignette universes will always necessitate designs with larger vignette-samples (and thus larger sets or more respondents).
      PubDate: 2022-01-12
      DOI: 10.12758/mda.2021.13
       
  • Do Web and Telephone Produce the Same Number of Changes and Events in a
           Panel Survey'

    • Authors: Oliver Lipps, Marieke Voorpostel
      First page: 18
      Abstract: Measuring change over time is one of the main purposes of longitudinal surveys. With an increase in the use of web as a mode of data collection it is important to assess whether the web mode differs from other modes with respect to the number of changes and events that are captured. We examine whether telephone and web data collection modes are compara­ble with respect to measuring changes over time or experiencing events. Using experimen­tal data from a two-wave pilot of the Swiss Household Panel, we investigate this question for several variables in the domain of work and family. We find differences for the work-related variables, with web respondents more likely to re­port changes. These differences do not disappear once the socio-demographic composition of the sample is taken into consideration. This suggests that these differences are not driven by observed different characteristics of the respondents who may have self-selected into one or the other mode. Contrary to work-related variables, a termination of a relationship was more common in the telephone group. This shows that one mode does not necessarily measure more change or events than another; it may depend on the variable in question. In addition, the difference in the protocol mattered: a web respondent in a household that participated fully by web sometimes differed from a web respondent in a household that had a household interview by phone. Nonetheless, the telephone group differed more from the various web protocols that the web protocols among themselves. With more household panel surveys introducing web questionnaires in combination with more traditional face-to-face and telephone interviews, this study adds to our understand­ing of the potential consequences of mixing modes with respect to longitudinal data analy­sis.
      PubDate: 2021-09-15
      DOI: 10.12758/mda.2021.09
       
  • Testing the Effects of Automated Navigation in a General Population Web
           Survey

    • Authors: Jeldrik Bakker, Marieke Haan, Barry Schouten, Bella Struminskaya, Peter Lugtig, Vera Toepoel, Deirdre Giesen, Vivian Meertens
      First page: 21
      Abstract: This study investigates how an auto-forward design, where respondents navigate through a web survey automatically, affects response times and navigation behavior in a long mixed-device web survey. We embedded an experiment in a health survey administered to the general population in The Netherlands to test the auto-forward design against a manual-forward design. Analyses are based on detailed paradata that keep track of the respondents’ behavior in navigating the survey. We find that an auto-forward design decreases comple­tion times and that questions on pages with automated navigation are answered significant­ly faster compared to questions on pages with manual navigation. However, we also find that respondents use the navigation buttons more in the auto-forward condition compared to the manual-forward condition, largely canceling out the reduction in survey duration. Furthermore, we also find that the answer options ‘I don’t know’ and ‘I rather not say’ are used just as often in the auto-forward condition as in the manual-forward condition, indi­cating no differences in satisficing behavior. We conclude that auto-forwarding can be used to reduce completing times, but we also advice to carefully consider mixing manual and auto-forwarding within a survey.
      PubDate: 2021-12-08
      DOI: 10.12758/mda.2021.10
       
  • Exploratory Likert Scaling as an Alternative to Exploratory Factor
           Analysis. Methodological Foundation and a Comparative Example Using an
           Innovative Scaling Procedure

    • Authors: Thomas Müller-Schneider
      First page: 25
      Abstract: Identifying the dimensional structure of a set of items (e.g., when studying attitudes) is an important and intricate task in empirical social research. In research practice, exploratory factor analysis is usually employed for this purpose. Factor analysis, however, has known problems that may lead to distorted results. One of its central methodological challenges is to select an adequate multidimensional factor space. Purely statistical decision heuristics to determine the number of factors to be extracted are of only limited value. As I will illus­trate using an example from lifestyle research, there is a considerable risk of fragmenting a complex unidimensional construct by extracting too many factors (overextraction) and splitting it across several factors. As an alternative to exploratory factor analysis, this paper presents an innovative scaling procedure called exploratory Likert scaling. This method­ologically based technique is designed to identify multiple unidimensional scales. It reli­ably finds even extensive latent dimensions without fragmenting them. To demonstrate this benefit, this paper takes up an example from lifestyle research and analyzes it using a novel R package for exploratory Likert scaling. The unidimensional scales are constructed se­quentially by means of bottom-up item selection. Exploratory Likert scaling owes its high analytical potential to the principle of multiple scaling, which is adopted from Mokken scale analysis and transferred to classical test theory.
      PubDate: 2021-11-26
      DOI: 10.12758/mda.2021.12
       
  • Gender and Survey Participation: An Event History Analysis of the Gender
           Effects of Survey Participation in a Probability-based Multi-wave Panel
           Study with a Sequential Mixed-mode Design

    • Authors: Rolf Becker
      First page: 29
      Abstract: In cross-sectional surveys, as well as in longitudinal panel studies, systematic gender dif­ferences in survey participation are routinely observed. Since there has been little research on this issue, this study seeks to reveal this association for web-based online surveys and computer-assisted telephone interviews in the context of a sequential mixed-mode design with a push-to-web method. Based on diverse versions of benefit–cost theories relating to deliberative and heuristic decision-making, several hypotheses are deduced and then tested by longitudinal data in the context of a multi-wave panel study on the educational and occu­pational trajectories of juveniles. Employing event history data on the survey participation of young panelists living in German-speaking cantons in Switzerland and matching them with geographical data at the macro level and panel characteristics at the meso level, none of the hypotheses is confirmed empirically. It is concluded that indirect measures of an individual’s perceptions of a situation, and of the benefits and costs as well as the process and mechanisms of the decision relating to survey participation, are insufficient to explain this gender difference. Direct tests of these theoretical approaches are needed in future.
      PubDate: 2021-09-15
      DOI: 10.12758/mda.2021.08
       
  • Controlling for Taste Preferences – A Factorial Survey about the
           Orientation to Judgment Devices in Movie Choice

    • Authors: Clemens Maria Schmidt
      First page: 30
      Abstract: This paper examines the gains in complexity reduction and causality identification pro­vided by the factorial survey for the analysis of a market characterized by uncertainty. The starting point is the problem of quality uncertainty for the market actor, commonly dealt with in economic sociology. Using Karpik’s approach of the ‘Economics of Singularities’, the problem of choosing the right movie is expounded and the question of what moviegoers base their choice on is developed. The uncertainty in question is the result of subjective tastes, which also leads to a methodological problem. As a result, previous studies mea­sured taste preferences instead of the influence of judgment devices. By means of a study on the right choice of movie, the paper shows that the method of the factorial survey has the important advantages of being able to control for taste preferences as well as to detect causality. Data collected among students is presented and hypotheses based on Karpik’s concepts are tested. The results show that expert judgements such as critics’ recommenda­tions and awards have a high influence on the choice of independent movies. On the other hand, the choice of blockbuster movies is additionally influenced by its listing in the charts and the ratings by other consumers. This shows not only that different social devices are used for orientation depending on preference, but also how strong their influence is in each case. Therefore, it is argued that the factorial survey method offers some advantages for the analysis of the causal influence of judgment devices in choice situations, especially for singular goods, which are highly complex and thus difficult to compare. Finally, limitations of the study as well as the method used are discussed.
      PubDate: 2021-11-26
      DOI: 10.12758/mda.2021.11
       
  • The Past, Present and Future of Factorial Survey Experiments: A Review for
           the Social Sciences

    • Authors: Edgar Treischl, Tobias Wolbring
      First page: 30
      Abstract: Factorial survey experiments (FSEs) are increasingly used in the social sciences. This pa­per provides a review about the use of FSEs and aims to answer three research questions. (1) How has this specific research field developed over time' (2) Which methodological advances have been made in FSE research and to what degree are they applied in empiri­cal studies' (3) Which questions remain unresolved and should be addressed in future re­search' Using the Web of Science and Scopus databases, we conducted a literature review of FSEs published between 1982 and 2018. Our findings show that the field is develop­ing quickly and that FSEs are becoming increasingly accepted in different research areas. Thereby, FSEs are being widely used not only to study attitudes, but also to explore the determinants of behaviour. Most research applies state-of-the-art techniques in terms of statistical analysis; however, to a lesser extent, studies rely on more sophisticated sampling procedures to draw samples from a large vignette universe. Finally, several methodological questions remain unresolved concerning the realism and complexity of vignettes, social desirability, and the predictive validity of FSEs regarding behaviour due to their hypotheti­cal nature. Against this background, we call for more methodological research to assess the general applicability of FSEs for different research areas. Further, our review suggests the need for better documentation and reporting standards to evaluate methodological aspects of FSEs.
      PubDate: 2021-10-20
      DOI: 10.12758/mda.2021.07
       
  • The Market Value of Corporate Social Performance in BRICS Countries:
           Differential Results Based on Panel Data Methods

    • Authors: Sinem Ates
      First page: 30
      Abstract: Although the causal effect of social performance on financial performance is a critical issue for companies and their stakeholders, there has been no consistent econometric ap­proach in the relevant literature to examine this relationship yet. From this point of view, the main motivation of this study is twofold: first, it aims to reveal the differential results of static and dynamic panel data methods used to estimate the impact of corporate social performance (CSP) on corporate financial performance (CFP). Second, in order to take the initiative for a consistent and reliable estimation method of the causal relationship between CSP and CFP, this study aims at drawing attention to the challenges of system generalized method of moments, which is suggested as an efficient method to solve the endogeneity problem in dynamic models. To this end, the impact of CSP on CFP for a sample of BRICS countries was analyzed through both static and dynamic panel data specifications. The main results reveal that static panel data models estimated with pooled OLS, random and fixed effects result in inconsistent and biased parameter estimates. This study discusses that although the two-step system GMM is suggested as a reliable method to deal with the endo­geneity issue, some critical specifications should be considered while utilizing this method to achieve robust and efficient results.
      PubDate: 2021-08-16
      DOI: 10.12758/mda.2021.06
       
 
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