Cross-sectional analysis is not used solely for analyzing a company; it can be used to analyze many different aspects of business. For example, a study released on July 18, 2016, by the Tinbergen Institute Amsterdam (TIA) measured the factor timing ability of hedge fund managers. Factor timin...
Statistical techniques can be used to analyze time series data in two key ways: to generate inferences on how one or more variables affect some variable of interest over time, or to forecast future trends. Unlike cross-sectional data, which is essentially one slice of a time series, the arro...
as well as enhancing the technological innovation capabilities of enterprises. In the new stage of moving from imitation to innovation, tax reduction plays an important role in promoting enterprise technological innovation. This article uses the data of A...
HowtoAnalyzeData 系统标签: dataanalyzevariableboxplotvariableshistogram HowtoAnalyzeData? AravindaGuntupalli SPSSwindowsprocess Datawindow Variableviewwindow Outputwindow Charteditorwindow Howtousedifferentfiletypes? Excelfile csvfile SPSSfile Typesofvariables Youcanselecttypeofvariable String Numeric Youcanalsosele...
HIV seroprevalence, self-reported STIs and associated risk factors among men who have sex with men: A cross-sectional study in Rwanda, 2015 In many populations, men who have sex with men (MSM) are at a high risk of HIV infection. This study aimed to estimate the burden of HIV, other ...
To analyze whether the dependence structure is different in the tails of the distribution we analyze, in step 2, quantile dependencies based on the empirical distribution functions. In a third step we aggregate the transactions-based measures into a composite measure, the first principal component ...
The SEER data used in cohort, case–control, and case-series studies can be obtained using SEER*Sat software under the Case-Listing session. Cross-sectional study Cross-sectional study is conducted at a specific point in time or spanning a relatively short time frame. These studies are often ...
By evidencing that and which combinations of data and analyses conjuncturally cause decision quality, the authors' study provides a first confirmation of HRA success. Research limitations/implications Major limitations refer to the cross-sectional and national sample and the usage of subjective measures...
Using cross-sectional data introduces temporal ambiguity, making it challenging to determine if unobserved confounders influence the results in the first analysis. Therefore, the relationships identified should be interpreted with caution and not simply assumed to be causal. Additionally, while the fixed-...
). Fourth, we conducted an independent sample t-test with humble leadership as the independent variable, and LMX, employee positive emotions, and employee improvisation as the dependent variables separately; gender, age, and education level as the covariates. We used SPSS 22 to analyze the data....