The Impact of Homework Deadline Times on College Student Performance and Stress: A Quasi-Experiment in Business Statistics

Dataset

This dataset was created by Raj V Jain

Contents

It contains the following files:

This page provides the data resulting from linking assignees and assignors in the USPTO Patent Assignment Dataset to Compustat gvkeys. We work with a version of the USPTO PAD that was gracefully shared with us by Stuart Graham. Such version precedes by one year the first release available at the USPTO website (https://www.uspto.gov/ip-policy/economic-research/research-datasets/patent-assignment-dataset). The version that we use covers 5,534,135 transactions recorded at the USPTO between January 1970 and January 2013 (inclusive). While the first transaction date is January 1970, the number of transactions recorded in the initial years is negligible. Data coverage seems sufficient for the years 1981-2012.

If you use the code or data, please cite the following two papers:

Arque-Castells, P., and Spulber, D. (2022). Measuring the Private and Social Returns to R&D: Unintended Spillovers versus Technology Markets. Journal of Political Economy. https://doi.org/10.1086/719908

Arqué Castells, Pere and Spulber, Daniel F., Firm Matching in the Market for Technology: Business Stealing and Business Creation (September 17, 2021). Northwestern Law & Econ Research Paper No. 18-14, Available at SSRN: https://ssrn.com/abstract=3041558 or http://dx.doi.org/10.2139/ssrn.3041558

The annual revenue generated by ASGN Incorporated, formerly On Assignment, increased steadily between 2019 and 2022. In 2023, however, overall revenues decreased slightly. The commercial segment of the company generated a revenue of approximately *** billion U.S. dollars compared to *** billion U.S. dollars in 2022.

Dataset

This dataset was created by antonio sanchez

Contents

The International Assignment Service (IAS) market has emerged as a crucial component of global business operations, facilitating the seamless relocation of employees across borders. This service encompasses various activities, including visa procurement, relocation assistance, cultural training, and integration supp

Dataset

This dataset was created by Joanne Bou saba

Contents

The number of contract professionals employed by ASGN Incorporated worldwide fluctuated between 2016 and 2023, and peaked at ****** in 2019. In 2023, the U.S. professional staffing company more than halved ots contract professionals to ******.

Japan ARPH: Single Worker: CI: Business & Homework data was reported at 57.000 JPY in Jun 2018. This records a decrease from the previous number of 160.000 JPY for Mar 2018. Japan ARPH: Single Worker: CI: Business & Homework data is updated quarterly, averaging 406.500 JPY from Mar 2000 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 3,354.000 JPY in Jun 2016 and a record low of 0.000 JPY in Sep 2014. Japan ARPH: Single Worker: CI: Business & Homework data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.H059: Average Monthly Receipt and Disbursement per Households: Single Worker Households: Quarterly.

Japan IIPH: Workers: Current: Business and Homework data was reported at 3,544.000 JPY in Sep 2018. This records an increase from the previous number of 3,092.000 JPY for Aug 2018. Japan IIPH: Workers: Current: Business and Homework data is updated monthly, averaging 2,741.000 JPY from Jan 2000 (Median) to Sep 2018, with 225 observations. The data reached an all-time high of 6,035.000 JPY in Apr 2001 and a record low of 1,692.000 JPY in May 2012. Japan IIPH: Workers: Current: Business and Homework data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.H034: Income and Expenditure Survey: Include Agriculture, Forestry & Fisheries: By Workers Households.

As part of the traffic observatory, 130 counting points were set up on the main roads of the Urban Community in 2015. The data collected are the TMJA (Average annual daily traffic) TMJO (Average traffic on working days) Maximum traffic and recorded speed. The localization of the counting position is carried out at the point and the assignment of the data is linearized to be assigned to the sections concerned.

Table NameWholesale Trade: Subject Series- Establishment and Firm Size: Summary Statistics by Employment Size of Establishments for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in February 2016.Key TableInformationThese data supersede the data released in the Industry Series file for Wholesale Trade (Sector 42) from the 2012 Economic Census. See Methodology for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Wholesale Trade (Sector 42).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 8-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:Establishments Sales Annual payroll First-quarter payroll Paid employeesOperating expensesTotal inventories, beginning of yearTotal inventories, end of yearEach record includes an EMPSZFE code which represents a specific employment size category of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector42/EC1242SSSZ2.zipContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

A 2024 survey of end users and IT professionals worldwide revealed that the users who represented the most risk online were those who had business privilege and access to critical data. Click happy users and users who consistently failed to complete training assignment followed, each highlighted by 56 percent of respondents.

Abstract

The 2005 Republic of Palau Census of Population and Housing will be used to give a snapshot of Republic of Palau's population and housing at the mid-point of the decade. This Census is also important because it measures the population at the beginning of the implementation of the Compact of Free Association. The information collected in the census is needed to plan for the needs of the population. The government uses the census figures to allocate funds for public services in a wide variety of areas, such as education, housing, and job training. The figures also are used by private businesses, academic institutions, local organizations, and the public in general to understand who we are and what our situation is, in order to prepare better for our future needs.

The fundamental purpose of a census is to provide information on the size, distribution and characteristics of a country's population. The census data are used for policymaking, planning and administration, as well as in management and evaluation of programmes in education, labour force, family planning, housing, health, transportation and rural development. A basic administrative use is in the demarcation of constituencies and allocation of representation to governing bodies. The census is also an invaluable resource for research, providing data for scientific analysis of the composition and distribution of the population and for statistical models to forecast its future growth. The census provides business and industry with the basic data they need to appraise the demand for housing, schools, furnishings, food, clothing, recreational facilities, medical supplies and other goods and services.

Geographic coverage

A hierarchical geographic presentation shows the geographic entities in a superior/subordinate structure in census products. This structure is derived from the legal, administrative, or areal relationships of the entities. The hierarchical structure is depicted in report tables by means of indentation. The following structure is used for the 2005 Census of the Republic of Palau:

Republic of Palau State Hamlet/Village Enumeration District Block

Analysis unit

Individuals Families Households General Population

Universe

The Census covered all the households and respective residents in the entire country.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not applicable to a full enumeration census.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2005 Palau Census of Population and Housing comprises three parts: 1. Housing - one form for each household 2. Population - one for for each member of the household 3. People who have left home - one form for each household.

Cleaning operations

Full scale processing and editing activiities comprised eight separate sessions either with or separately but with remote guidance of the U.S. Census Bureau experts to finalize all datasets for publishing stage.

Processing operation was handled with care to produce a set of data that describes the population as clearly and accurately as possible. To meet this objective, questionnaires were reviewed and edited during field data collection operations by crew leaders for consistency, completeness, and acceptability. Questionnaires were also reviewed by census clerks in the census office for omissions, certain inconsistencies, and population coverage. For example, write-in entries such as "Don't know" or "NA" were considered unacceptable in certain quantities and/or in conjunction with other data omissions.

As a result of this review operation, a telephone or personal visit follow-up was made to obtain missing information. Potential coverage errors were included in the follow-up, as well as questionnaires with omissions or inconsistencies beyond the completeness and quality tolerances specified in the review procedures.

Subsequent to field operations, remaining incomplete or inconsistent information on the questionnaires was assigned using imputation procedures during the final automated edit of the collected data. Allocations, or computer assignments of acceptable data in place of unacceptable entries or blanks, were needed most often when an entry for a given item was lacking or when the information reported for a person or housing unit on that item was inconsistent with other information for that same person or housing unit. As in previous censuses, the general procedure for changing unacceptable entries was to assign an entry for a person or housing unit that was consistent with entries for persons or housing units with similar characteristics. The assignment of acceptable data in lace of blanks or unacceptable entries enhanced the usefulness of the data.

Another way to make corrections during the computer editing process is substitution. Substitution is the assignment of a full set of characteristics for a person or housing unit. Because of the detailed field operations, substitution was not needed for the 2005 Census.

Sampling error estimates

Sampling Error is not applicable to full enumeration censuses.

Data appraisal

In any large-scale statistical operation, such as the 2005 Census of the Republic of Palau, human- and machine-related errors were anticipated. These errors are commonly referred to as nonsampling errors. Such errors include not enumerating every household or every person in the population, not obtaining all required information form the respondents, obtaining incorrect or inconsistent information, and recording information incorrectly. In addition, errors can occur during the field review of the enumerators' work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires.

To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.

Replication Data for: China's Non-Ferrous Metal Resource Recycling Technology Convergence and driving factors: A quadratic assignment procedure analysis based on Patent Collaboration-Based Network Structural Hole.

This study explores the peer feedback process with first-year undergraduate business students at an Irish University. This research explicitly examines (1) whether the act of generating or receiving high-quality peer feedback had a significant impact on student performance (grades) and (2) participants’ attitudes to peer feedback (pre and post-process). A mixed methods approach was adopted where the data gathered included draft and final assignment grades, content analysis and quality ratings of peer feedback and responses to student attitude and perception questionnaires. Results demonstrate that the quality of peer feedback generated has a statistically significant impact on students’ final grades. While the feedback received is often seen as the main benefit derived from the peer feedback process, this study provides empirical evidence that students who generated high quality feedback, were able to self-evaluate and enhance their own work which resulted in improved performance. Together with positive attitudes, this finding suggests that there is more scope to support and encourage students’ role as assessor in higher education. A limitation of the study is that it did not control for intrinsic motivation or innate academic ability.

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Anti-plagiarism Software for Education Sector Industry Report - Forecast and Analysis 2023-2027

This market research report predicts the statistics about the market size growth that will grow by USD 2,608.33 million. The anti-plagiarism software market for education sector has potential to grow at a projected CAGR of 22.87% during 2022-2027, that is the forecast period for this report as per our data and research experts. There are so many factors that directly affect the anti-plagiarism software market for education sector growth such as favorable government initiatives, better standards for the doctoral programs, and growing number of online assignment and the project submission platforms.

The projected incremental growth momentum presents a positive outlook for the market as well as the respective investors and they will further reinforce the position of vendors in the market.

Our researchers provide the major statistical predictions about some key market drivers via thorough data and information analysis. One of these market drivers is the growing number of online assignment and the project submission platforms that is helpful in the anti-plagiarism software market for education sector growth. Although there are other factors such as prevalence of the free anti-plagiarism software compromising academic integrity may affect the market growth negatively.

In addition, there are some key vendors operating in the market, listed below:

Copyleaks Technologies Ltd.
PlagTracker
Grammarly Inc.
Plagiarismanalyzer.com
Plagiarism Checker X LLC
PlagScan GmbH
I3 TECHNOLOGY Ltd.
PrePost SEO
DupliChecker.com Inc.

The precisely illustrated statistical data consists of some key market information and analysis to get a better understanding of specific business requirement. Technavio, also has the subscription platform having an instant lifetime access to the 17,000+ market reports and the world-class market intelligence at customized plans and rates.

Table NameAdministrative and Support and Waste Management and Remediation Services: Subject Series: Estab & Firm Size: Summary Statistics by Receipts Size of Establishments for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1256SSSZ2 through EC1256SSSZ7 present data by employment and receipts size for establishments and firms, single unit and multiunit firms, concentration by largest firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Administrative and Support and Waste Management and Remediation Services (Sector 56).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Establishments. Receipts. Annual payroll. First-quarter payroll. Paid employees.Each record includes a RCPSZFE code which represents a specific receipts size category of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector56/EC1256SSSZ1.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Table NameRetail Trade: Subject Series - Estab & Firm Size: Summary Statistics by Legal Form of Organization for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in the first quarter of 2016.Key TableInformationRelated data can be found in EC1244SSSZ1 through EC1244SSSZ6 which present data by employment and sales size of establishments and firms, single unit and multiunit firms, and concentration by largest firms for the United States. See Methodology for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Retail Trade (Sector 44-45).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2-digit and selected 3- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:Establishments Sales Annual payroll First-quarter payroll Paid employeesEach record includes a LFO code which represents a specific legal form of organization of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector44/EC1244SSSZ7.zipContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. SeeTable Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Table NameArts, Entertainment, and Recreation: Subject Series: Estab & Firm Size: Summary Statistics by Employment Size of Establishments for the U.S.: 2012ReleaseScheduleThe data in this file are scheduled for release in March 2016.Key TableInformationEC1271SSSZ1 and EC1271SSSZ3 through EC1271SSSZ7 present data by employment and receipts/revenue size for establishments and firms, single unit and multiunit firms, concentration by largest firms, and legal form of organization for the United States. See Methodology. for additional information on data limitations.UniverseThe universe of this file is all establishments of firms with payroll in business at any time during 2012 and classified in Arts, Entertainment, and Recreation (Sector 71).GeographyCoverageThe data are shown at the United States level only.IndustryCoverageThe data are shown for 2- through 7-digit 2012 NAICS codes.Data ItemsandOtherIdentifyingRecordsThis file contains data on:. Establishments. Receipts/Revenue. Annual payroll. First-quarter payroll. Paid employees.Each record includes an EMPSZFE code which represents a specific employment size category of establishments.FTP DownloadDownload the entire table athttps://www2.census.gov/econ2012/EC/sector71/EC12271SSSZ2.zip. ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Includes only establishments of firms with payroll. See Table Notes for more information. Data based on the 2012 Economic Census. For method of assignment to categories shown and for information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.