Austria Nominal Services Turnover Index: PT: Advertising & Market Research data was reported at 128.600 2005=100 in Dec 2012. This records an increase from the previous number of 97.700 2005=100 for Sep 2012. Austria Nominal Services Turnover Index: PT: Advertising & Market Research data is updated quarterly, averaging 102.800 2005=100 from Mar 2003 (Median) to Dec 2012, with 40 observations. The data reached an all-time high of 131.100 2005=100 in Dec 2010 and a record low of 87.200 2005=100 in Sep 2004. Austria Nominal Services Turnover Index: PT: Advertising & Market Research data remains active status in CEIC and is reported by Statistics Austria. The data is categorized under Global Database’s Austria – Table AT.H015: Nominal Services Turnover Index: 2005=100.

We include the course syllabus used to teach quantitative research design and analysis methods to graduate Linguistics students using a blended teaching and learning approach. The blended course took place over two weeks and builds on a face to face course presented over two days in 2019. Students worked through the topics in preparation for a live interactive video session each Friday to go through the activities. Additional communication took place on Slack for two hours each week. A survey was conducted at the start and end of the course to ascertain participants' perceptions of the usefulness of the course. The links to online elements and the evaluations have been removed from the uploaded course guide.Participants who complete this workshop will be able to:- outline the steps and decisions involved in quantitative data analysis of linguistic data- explain common statistical terminology (sample, mean, standard deviation, correlation, nominal, ordinal and scale data)- perform common statistical tests using jamovi (e.g. t-test, correlation, anova, regression)- interpret and report common statistical tests- describe and choose from the various graphing options used to display data- use jamovi to perform common statistical tests and graph resultsEvaluationParticipants who complete the course will use these skills and knowledge to complete the following activities for evaluation:- analyse the data for a project and/or assignment (in part or in whole)- plan the results section of an Honours research project (where applicable)Feedback and suggestions can be directed to M Schaefer schaemn@unisa.ac.za

Slovakia Avg Nominal Wage Index: NACE 2: Services: PS: ow Advertising & Market Research data was reported at 82.200 Same Mth PY=100 in Mar 2018. This records a decrease from the previous number of 93.100 Same Mth PY=100 for Feb 2018. Slovakia Avg Nominal Wage Index: NACE 2: Services: PS: ow Advertising & Market Research data is updated monthly, averaging 104.600 Same Mth PY=100 from Jan 2001 (Median) to Mar 2018, with 207 observations. The data reached an all-time high of 142.400 Same Mth PY=100 in Dec 2001 and a record low of 77.300 Same Mth PY=100 in Dec 2011. Slovakia Avg Nominal Wage Index: NACE 2: Services: PS: ow Advertising & Market Research data remains active status in CEIC and is reported by Statistical Office of the Slovak Republic. The data is categorized under Global Database’s Slovakia – Table SK.G013: Business Register Survey: Average Monthly Gross Wage Index: by Industry: Same Month PY=100.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Men was 1870.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Men reached a record high of 2208.00000 in January of 2023 and a record low of 964.00000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Men - last updated from the United States Federal Reserve on June of 2025.

The proposed project is complimentary and directly beneficial to NASA's Safe and Efficient Surface Operations (SESO) research. NASA has previously developed a modular architecture for testing airport control concepts and algorithms within the Surface Management System (SMS). However, SMS currently uses live or pre-recorded surveillance data and, therefore, must be connected to a separate simulation environment. We will develop a self-contained, fast-time SMS simulation environment by incorporating an aircraft taxi model. The proposed stand-alone platform would complement NASA's current SMS-ATG environment by providing a fast-time simulation capability that uses the desired SMS plug-in architecture. We will also develop and integrate within the SMS simulation departure scheduling and taxi planning algorithms. These algorithms will supplement NASA's existing work and be independent of external optimization solvers. Lastly, the project will apply the fast-time simulation and integrated planning algorithms to study JFK airport surface traffic management under regular and off-nominal conditions, studies that complement NASA's research. JFK was chosen because of its complex geometry and traffic. We have received permission from the FAA to use JFK data, which is already available to Mosaic ATM as part of our FAA work.

This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-nominal-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over (LEU0254531300A) from 2000 to 2024 about analysts, second quartile, operating, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

This dataset is extracted from https://en.wikipedia.org/wiki/List_of_African_countries_by_GDP_-nominal-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

This archive contains a unique collection of naturalistic child language data collected between 2017 and 2020 in Southern Senegal. The deposit contains ELAN files of annotated data based on recordings of children's production and child directed speech in naturalistic settings. The language under investigation is Eegimaa, a Jóola language of sourthern Senegal. This is part of the Atlantic branch of the Niger‑Congo Phylum. The data was collected as part of a research project which investigates the acquisition of an Atlantic noun class system. Our research looks at the factors underlying children’s learning of nominal class prefixes and syntactic and semantic agreement at the level of the NP. We focus on questions including the following. • Which elements of noun class morphology do children begin to use productively? • What is the role of input frequency, morphological salience, and transparency in children acquisition of noun class and agreement in Eegimaa? • Are errors in the production of nominal class prefixes also reflected in children’s use of the corresponding agreement markers?

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Social science research assistants occupations: 16 years and over (LEU0257864900A) from 2011 to 2011 about assistance, science, second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

The dataset contains files related to the RTG (2636) research project "The morphosyntax of nominal modification".

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Market research analysts and marketing specialists occupations: 16 years and over was 1659.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Market research analysts and marketing specialists occupations: 16 years and over reached a record high of 1659.00000 in January of 2024 and a record low of 1135.00000 in January of 2014. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Market research analysts and marketing specialists occupations: 16 years and over - last updated from the United States Federal Reserve on June of 2025.

The nominal house price index in Romania variated over the observed period. The lowest index was registered in 2014 at 97.2. Subsequently, the house price index increased up to 152.3 in 2023.

The nominal house price index in Romania's capital peaked in 2009 at 155.4. Following a slight decrease, the house price index in Bucharest reached the value of 137.1 by 2023.

Over the past six years, our research team consisting of scientists at Texas A&M University (TAMU) and the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR) has made major breakthroughs in advancing high-resolution global climate modeling and prediction. We have completed several thousand years of climate simulations at a tropical cyclone (TC) permitting and ocean-eddy-rich resolution (hereafter simply referred to as CESM-HR) as part of our NSF-funded project entitled "Understanding the Role of MESoscale Atmosphere-Ocean Interactions in Seasonal-to-Decadal CLImate Prediction (MESACLIP)". Among others, we completed a 500-year preindustrial control (PI-CTRL) simulation forced by a perpetual climate forcing that corresponds to the year 1850 conditions and a 10-member ensemble of historical and future transient climate simulations. The CESM-HR configuration is based on an earlier CESM version, CESM1.3, with many additional modifications and improvements. CESM-HR uses a 0.25 degree grid in the atmosphere and land components and a 0.1 degree grid in the ocean and sea-ice components. The primary reason for using an older model version, instead of the latest CESM2, is that CESM2 does not support a high-resolution version per the decision by the CESM Scientific Steering Committee. The component models within CESM1.3 are the Community Atmosphere Model version 5 (CAM5; Neale et al., 2012), the Parallel Ocean Program version 2 (POP2; Danabasoglu et al., 2012; Smith et al., 2010), the Community Ice Code version 4 (CICE4; Hunke & Lipscomb, 2008), and the Community Land Model version 4 (CLM4; Lawrence et al., 2011). Here we release the nominal 1 degree low-resolution (LR) equivalent simulations based on the same CESM1.3 code base and using the same CAM5 Spectral Element (SE) dycore used in CESM-HR to permit an as-clean-as-possible comparison of the respective LR and HR simulations. CESM LR uses a nominal 1 degree grid in all its...

Real wages in the Eurozone showed a negative trend for the second year in a row, as high inflation caused the real value of wages to decline by almost one percent. Real wage growth is measured by adjusting nominal wage growth - that is, the growth of wages in monetary values - for inflation, or changes in the average price of the basket of goods. This means that in 2023, a worker would be able to buy one percent less than they would have in 2022, assuming their wages grew by the 4.5 percent nominal wage growth which was seen across the Eurozone in 2023.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Social science research assistants occupations: 16 years and over: Women (LEU0257865100A) from 2011 to 2011 about assistance, science, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Women was 1481.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Women reached a record high of 1665.00000 in January of 2023 and a record low of 810.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Operations research analysts occupations: 16 years and over: Women - last updated from the United States Federal Reserve on June of 2025.

ObjectiveTo provide a practical guidance for the analysis of N-of-1 trials by comparing four commonly used models.MethodsThe four models, paired t-test, mixed effects model of difference, mixed effects model and meta-analysis of summary data were compared using a simulation study. The assumed 3-cycles and 4-cycles N-of-1 trials were set with sample sizes of 1, 3, 5, 10, 20 and 30 respectively under normally distributed assumption. The data were generated based on variance-covariance matrix under the assumption of (i) compound symmetry structure or first-order autoregressive structure, and (ii) no carryover effect or 20% carryover effect. Type I error, power, bias (mean error), and mean square error (MSE) of effect differences between two groups were used to evaluate the performance of the four models.ResultsThe results from the 3-cycles and 4-cycles N-of-1 trials were comparable with respect to type I error, power, bias and MSE. Paired t-test yielded type I error near to the nominal level, higher power, comparable bias and small MSE, whether there was carryover effect or not. Compared with paired t-test, mixed effects model produced similar size of type I error, smaller bias, but lower power and bigger MSE. Mixed effects model of difference and meta-analysis of summary data yielded type I error far from the nominal level, low power, and large bias and MSE irrespective of the presence or absence of carryover effect.ConclusionWe recommended paired t-test to be used for normally distributed data of N-of-1 trials because of its optimal statistical performance. In the presence of carryover effects, mixed effects model could be used as an alternative.

United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Market research analysts and marketing specialists occupations: 16 years and over: Women was 1613.00000 $ in January of 2024, according to the United States Federal Reserve. Historically, United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Market research analysts and marketing specialists occupations: 16 years and over: Women reached a record high of 1613.00000 in January of 2024 and a record low of 967.00000 in January of 2013. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Market research analysts and marketing specialists occupations: 16 years and over: Women - last updated from the United States Federal Reserve on June of 2025.