Methodology: European Journal of Research Methods for The Behavioral and Social Sciences最新文献_第3页

Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth. 提高访谈者对被调查者特征观察准确性的策略:来自美国全国家庭成长调查的证据。

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2018-01-01 Epub Date: 2018-04-23 DOI: 10.1027/1614-2241/a000142

Brady T West, Frauke Kreuter

{"title":"Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth.","authors":"Brady T West, Frauke Kreuter","doi":"10.1027/1614-2241/a000142","DOIUrl":"https://doi.org/10.1027/1614-2241/a000142","url":null,"abstract":"<p><p>Because survey response rates are consistently declining worldwide, survey researchers strive to obtain as much auxiliary information on sampled units as possible. Surveys using in-person interviewing often request that interviewers collect observations on key features of all sampled units, given that interviewers are the eyes and ears of the survey organization. Unfortunately, these observations are prone to error, which decreases the effectiveness of nonresponse adjustments based on the observations. No studies have investigated the strategies being used by interviewers tasked with making these observations, or examined whether certain strategies improve observation accuracy. This study is the first to examine the associations of observational strategies used by survey interviewers with the accuracy of observations collected by those interviewers. A qualitative analysis followed by multilevel models of observation accuracy show that focusing on relevant correlates of the feature being observed and considering a diversity of cues are associated with increased observation accuracy.</p>","PeriodicalId":18476,"journal":{"name":"Methodology: European Journal of Research Methods for The Behavioral and Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931735/pdf/nihms911792.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36074531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Comparison of Uni- and Multidimensional Models Applied in Testlet-Based Tests 基于测试集的测试中单模型与多维模型的比较

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-11-24 DOI: 10.1027/1614-2241/a000137

Alejandro Hernández‐Camacho, J. Olea, F. J. Abad

{"title":"Comparison of Uni- and Multidimensional Models Applied in Testlet-Based Tests","authors":"Alejandro Hernández‐Camacho, J. Olea, F. J. Abad","doi":"10.1027/1614-2241/a000137","DOIUrl":"https://doi.org/10.1027/1614-2241/a000137","url":null,"abstract":"The bifactor model (BM) and the testlet response model (TRM) are the most common multidimensional models applied to testlet-based tests. The common procedure is to estimate these models using different estimation methods (see, e.g., DeMars, 2006). A possible consequence of this is that previous findings about the implications of fitting a wrong model to the data may be confounded with the estimation procedures they employed. With this in mind, the present study uses the same method (maximum marginal likelihood [MML] using dimensional reduction) to compare uni- and multidimensional strategies to testlet-based tests, and assess the performance of various relative fit indices. Data were simulated under three different models, namely BM, TRM, and the unidimensional model. Recovery of item parameters, reliability estimates, and selection rates of the relative fit indices were documented. The results were essentially consistent with those obtained through different methods (DeMars, 2006), indicating that the effect of the estimation method is negligible. Regarding the fit indices, Akaike Information Criterion (AIC) showed the best selection rates, whereas Bayes Information Criterion (BIC) tended to select a model which is simpler than the true one. The work concludes with recommendations for practitioners and proposals for future research.","PeriodicalId":18476,"journal":{"name":"Methodology: European Journal of Research Methods for The Behavioral and Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2017-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42189419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Benchmarking and Reconciliation of Time Series: An Applied Bayesian Method 时间序列的基准化与协调:一种应用贝叶斯方法

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-11-24 DOI: 10.1027/1614-2241/a000136

J. Rojo-García, J. Sanz-Gómez

引用次数: 1

Sample Size Calculations for Testing Equivalence of Two Exponential Distributions With Right Censoring: Allocation With Costs 检验两个指数分布的等价性的样本容量计算:有成本的分配

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-11-24 DOI: 10.1027/1614-2241/a000139

Jiin‐Huarng Guo, W. Luh

引用次数: 3

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-09-08 DOI: 10.1027/1614-2241/a000135

G. Moors, I. Vriens, J. Gelissen

引用次数: 1

Analyzing Organizational Growth in Repeated Cross-Sectional Designs Using Multilevel Structural Equation Modeling 用多层次结构方程模型分析重复横截面设计中的组织成长

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-09-08 DOI: 10.1027/1614-2241/a000133

Jan Hochweber, J. Hartig

引用次数: 3

Investigation of Parameter Estimation Accuracy for Growth Curve Modeling With Categorical Indicators: Impact of Number of Measurement Occasions and Number of Categories 分类指标生长曲线建模参数估计精度研究:测量次数和类别数的影响

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-09-08 DOI: 10.1027/1614-2241/a000134

W. H. Finch

{"title":"Investigation of Parameter Estimation Accuracy for Growth Curve Modeling With Categorical Indicators: Impact of Number of Measurement Occasions and Number of Categories","authors":"W. H. Finch","doi":"10.1027/1614-2241/a000134","DOIUrl":"https://doi.org/10.1027/1614-2241/a000134","url":null,"abstract":"Growth curve modeling (GCM) is an important and commonly used methodology in the social sciences for examining change over time in a variable value. While much of the empirical research examining the performance of various estimators under a variety of conditions has focused on continuous (and typically normally distributed) observed indicators, in practice researchers frequently make use of categorical indicators with anywhere from two to as many as seven categories. Given the popularity of GCMs, along with the frequent use of categorical indicators, and the relative dearth of simulation research focusing on estimation of these models with such variables, the current study focused on the issue of parameter estimation accuracy as related to the number of categorical indicators, and the number of categories per indicator. Results of this research found that for models with only a linear component, parameter estimation was very accurate for as few as four indicators with two categories each and a sample size of 200. On the other hand, when the underlying model included both linear and quadratic terms, parameter estimation accuracy suffered for a small number of dichotomous indicators unless the sample size was 1,000 or more. However, with six or more indicator variables, and/or at least three categories, parameter estimation accuracy remained high.","PeriodicalId":18476,"journal":{"name":"Methodology: European Journal of Research Methods for The Behavioral and Social Sciences","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2017-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43232047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Factor score path analysis: An alternative for SEM? 因素得分路径分析：SEM的替代方案？

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-06-02 DOI: 10.1027/1614-2241/A000130

Ines Devlieger, Y. Rosseel

引用次数: 90

Building latent class trees, with an application to a study of social capital 构建潜在阶级树，并应用于社会资本的研究

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-06-02 DOI: 10.1027/1614-2241/A000128

M. V. D. Bergh, V. Schmittmann, J. Vermunt

引用次数: 18

Effect Sizes of Model Misfit in Structural Equation Models: Standardized Residual Covariances and Residual Correlations 结构方程模型中模型不拟合的影响大小：标准化残差协方差和残差相关性

IF 3.1 3区心理学

Methodology: European Journal of Research Methods for The Behavioral and Social Sciences Pub Date : 2017-06-02 DOI: 10.1027/1614-2241/a000129

Albert Maydeu-Olivares, Dexin Shi

引用次数: 31