SPSS Data Sets Study 1 & 2(Glück, J. & Scherpf, A. (2022). Intelligence and wisdom: Age-Related Differences and Nonlinear Relationships. Manuscript submitted for publication (copy on file with author).

These data were used for analysis for an experiment examining the impact of seductive allure effect and trappings of science on how people evaluated information regarding alleged paranormal research. This is a more complete file than the June version. A copy of our SPSS syntax is also provided.

Interview [format: audio file and Word transcripts] and survey data [format: SPSS and hard-copy], generated with male and female prisoners in England who received long life sentences (minimum 15 years or more) when aged 25 or under. This study will explore the experiences of prisoners who are given very long sentences (15 years or more) when aged under twenty-one. Around one hundred interviews will be conducted with prisoners at various stages of such sentences, as well a smaller number of interviews with prison staff and managers. The main aim is to provide a detailed account of the experiences of these prisoners, focusing on three main areas: - how they cope with (and develop during) such long sentences, and how they manage issues of self and identity. - how they adapt socially to imprisonment, in particular, their relationships with staff and other prisoners, and their levels of compliance, engagement and resistance. - how their sentence conditions and lives prior to imprisonment shape their perceptions of penal legitimacy. The research will contribute to policy and practice in a range of areas, for example, by better informing relevant policymakers and practitioners about the consequences of new sentencing practices, about the needs of this group of very long-term prisoners, and about the operational challenges resulting from the growing number of prisoners serving very long sentences from an early age. Interviews with male and female prisoners (semi-structured; comprised of 'Life history' and 'Life inside' components); interviews with prison staff (semi-structured); surveys (comprising demographic questions, and Likert-scale items relating to the problems of long-term imprisonment).

The outbreak of COVID -19 forced most universities into distance education. Three didacticians and researchers from the University of Maribor, Slovenia: Kosta Dolenc, Mateja Ploj Virtič and Andrej Šorgo formed a self-initiated initiative project group during the COVID -19 epidemic and started the first project with the working title: The Side Effects of Forced Online Distance Education (FODE).

The aim of the second study, conducted during the first wave of the epidemic in March 2020, was to investigate the response of university students to the new situation. The project documentation provided for the Forced Online Distance Learning (FODL) consists of:

• abstract,
• instrument,
• copy of the descriptive statistics,
• and SPSS dataset.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

The Department of Statistics (DOS) carried out four rounds of the 2016 Employment and Unemployment Survey (EUS). The survey rounds covered a sample of about fourty nine thousand households Nation-wide. The sampled households were selected using a stratified multi-stage cluster sampling design.

It is worthy to mention that the DOS employed new technology in data collection and data processing. Data was collected using electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

The survey main objectives are: - To identify the demographic, social and economic characteristics of the population and manpower. - To identify the occupational structure and economic activity of the employed persons, as well as their employment status. - To identify the reasons behind the desire of the employed persons to search for a new or additional job. - To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old). - To identify the different characteristics of the unemployed persons. - To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard. - To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons. - To identify the changes overtime that might take place regarding the above-mentioned variables.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a sample representative on the national level (Kingdom), governorates, and the three Regions (Central, North and South).

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

----> Raw Data

A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.

----> Harmonized Data

• The SPSS package is used to clean and harmonize the datasets.
• The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
• All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.

Monitoring the effects of tariff raises in public transport within the framework of the general mobility developments. This description comprises the tenth wave of the longitudinal mobility survey ( longitudinaal verplaatsingsonderzoek ). Preceding waves are stored under different study numbers. The survey monitors ( changes in ) transportational behaviour, mobility and effects of raising tariffs for public transportation. Data were gathered by questionnaire. Diaries were used for describing all mobility during one week. Detailed data were gathered on: family composition, financial situation of family, working hours, commuting, travelling allowances, car, train, use of reduced fare cards for public transport. Moving to another home and factors influencing this. Use of train in preceding week, month, half year and year. Change in place of work last three years and factors influencing this. Parking facilities near place of work, use of public transportation in commuting, attitude regarding public transport and ownership and use of Pas 65 ( reduction card for the aged ). This wave proper consists of seven files, containing family-data( A=SPSS-file, D=raw data ), family member-data ( B=SPSS-file, E=raw data ), transfer-data ( C=raw data ), week-matrices ( F=raw data ), and commuting data ( G=raw data ) respectively. It contains two extra cumulative files. One contains the most relevant variables from all March-waves of all respondents ever participating ( P1015H ). The second ( P1045J ) uses cars owned by panel-members as units of analysis and contains car-related variables and costs analysis. Moreover this wave contains two general SPSS-setup files, to be used for analyzing the week- matrices and commuting-data files of all waves ( P1045K and P1045L ). General hard-copy documentation relevant to all preceding waves is also stored under this number. Background variables: basic characteristics/ residence/ household characteristics/ occupation/employment/ income/capital assets/ education/ consumption of durables

The data set comprises responses to a questionnaire survey with a wide range of items concerning finances, legal and relationship issues in non-traditional, cohabiting heterosexual couples. It is in the format of an SPSS .sav file with an N of 235 (having excluded a small number of respondents who did not meet the study criteria). The bulk of the data were obtained by means of an on-line survey with the remaining few obtained from a paper version of the questionnaire. Owing to the format imposed by the software used for the on-line version (PHPSurveyor) there are some instances where the precise response format for the items differed between the two versions. In order to merge the data into SPSS, some minor adjustments had to be made to make them compatible, such as combining 2 separate items in the on-line version on cohabitation length to obtain a single measure. To clarify, in the on-line version, two separate responses asked for the number of years of cohabitation and the number of months. These were combined in the final SPSS file into a single measure of overall cohabitation length in months. Thus, a respondent who had cohabited for 2 years and 6 months would receive a value in the final data set of 30 months’ cohabitation length. To indicate in full detail how some of the items have been combined for certain measures, an Excel file has been provided. At the top of the Excel file are the actual question items from the hard copy version of the questionnaire. Underneath in the purple band are the respective variable labels as they appear in the SPSS file. Below this, in blue, can be found the labels for the composite or recorded items that combine information from more than one of the original variables (for example, ‘household income combines information from the items asking for respondent’s own and partner’s income). The labels for the variable values can be found in the SPSS file in the conventional way. Studies of the monetary practices of (mainly) married couples have revealed gender-associated asymmetries in access to household resources. However, theory development has been restricted because gender issues are easily confounded with the ideological meaning(s) of ‘marriage’. In other words, is it being a ‘wife’ or ‘husband’ that produces such asymmetries, rather than gender per se? The proposed project aims to disentangle this conflation of ‘gender’ with ‘marriage’ by focusing on money management in non-traditional (ie unmarried cohabiting or non-cohabiting) heterosexual couples, The research will be in two phases: (1) in-depth qualitative interviews with individual partners in 15 non-traditional heterosexual (NTH) couples, including some that have specifically rejected the notion of marriage on ideological grounds, and (2) a larger scale survey of 300 NTH couples. Our main aims are to: (1) Provide a detailed analysis of how NTH couples organise their finances and compare this with existing data on married couples; (2) Develop theories of household financial management that are grounded in a more inclusive definition of ‘household’ or ‘family’; (3) Explore NTH couples’ understandings of their financial rights and responsibilities and consider the implications of their financial management practices for the proposed law reform governing financial provision on cohabitation breakdown. Our main aims are to: (1) Provide a detailed analysis of how NTH couples organise their finances and compare this with existing data on married couples; (2) Develop theories of household financial management that are grounded in a more inclusive definition of ‘household’ or ‘family’; (3) Explore NTH couples’ understandings of their financial rights and responsibilities and consider the implications of their financial management practices for the proposed law reform governing financial provision on cohabitation breakdown. Data was collected mainly via on-line questionnaire with 267 individual respondents; majority (235) were cohabiting and the rest married.

Abstract (en): Since 1930, the Federal Bureau of Investigation has compiled the Uniform Crime Reports (UCR) to serve as a periodic nationwide assessment of reported crimes not available elsewhere in the criminal justice system. Each year, this information is reported in four types of files: (1) Offenses Known and Clearances by Arrest, (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police Employee (LEOKA) Data. The Police Employee (LEOKA) Data provide information about law enforcement officers killed or assaulted (hence the acronym, LEOKA) in the line of duty. The variables created from the LEOKA forms provide in-depth information on the circumstances surrounding killings or assaults, including type of call answered, type of weapon used, and type of patrol the officers were on. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Checked for undocumented or out-of-range codes.. Law enforcement officers killed or assaulted as reported by law enforcement agencies. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2001-10-31 The SPSS data definition statements were replaced to correct inaccurate title and study number information. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. The codebook for this collection is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

The outbreak of COVID -19 forced most universities into distance education. Three didacticians and researchers from the University of Maribor, Slovenia: Kosta Dolenc, Mateja Ploj Virtič and Andrej Šorgo formed a self-initiated initiative project group during the COVID -19 epidemic and started the project with the working title: The Side Effects of Forced Online Distance Education (FODE).

The aim of the first study, conducted during the first wave of the epidemic in March 2020, was to investigate the response of university teachers to the new situation. The project documentation provided for the Forced Online Distance Teaching (FODT) consist of:

abstract,

instrument,

copy of the descriptive statistics, and

SPSS dataset.

The Dolores Archaeological Program Automated Data Processing group is responsible for creating and maintaining computer files containing both inventory and analytical data. Currently, 117,902 records are stored in 12 different files. This report describes the development and status of the data processing effort. The use of SYSTEM 2000 as a data-base management system is detailed. Input, storage, retrieval, and manipulation of data are discussed, as are security measures and database organization. The use of specific software packages (SPSS and SYMAP) and utility programs is explained. Recommendations are included for improving the operations of the Automated Data Processing group.

Originally the information in this record was migrated into tDAR from the National Archaeological Database Reports Module (NADB-R) and updated. In 2015, as part of its effort to improve tDAR content, the Center for Digital Antiquity uploaded a copy of the document and further improved the record metadata.

This data was collected using an online survey instrument, SurveyMonkey, which was promoted to members of an English Rugby Premiership club via the club’s web site. Participants were invited to follow a link embedded into an online story promoted on the web site. This data set represents those responses submitted by participants identifying as fans of the participating club.

Data Processing: SPSS and AMOS were used to conduct all analysis as identified in the thesis. The primary method of analysis was structural equation modelling (SEM)., Code List: 122 questions presented in columns with 314 columns representing individual responses There is one file comprising 43,920 individual data entries

Data entered into a single Excel spreadsheet and organised by columns (122) and rows (360). The items (questions) are organised as identified above – each column represents a descrete question and the rows the individual responses to these questions. The question needs to be linked to each set of responses for that question. The responses should be linked to the appropriate gender, age, income level and years a supporter to have meaning. A copy of the original survey is available in the thesis identified above

This SPSS dataset is from a 2019 survey conducted via . There are 323 participants in the file, 306 with complete data for the key measures. Measures include the Big Five Inventory, the Interest/Deprivation Curiosity Scale, the Need for Cognition Scale, the Need to Belong Scale, the Basic Psychological Need Satisfaction Scale, the General Belongingness Scale, the Meaning in Life Questionnaire, the Mindful Attention Awareness Scale, the Smartphone Addiction Scale, and some questions about listening to podcasts.

In relation to podcasts, participants were first asked if they had ever listened to a podcast. Those who said yes (N = 240) were asked questions related to amount of listening, categories and format of podcasts, setting of listening, device used, social engagement around podcasts, and parasocial relationships with their favourite podcast host. Participants also indicated their age, gender, and country of residence.

The datafile contains item ratings and scale scores for all measures. Item wording and response labels are provided in the variable view tab of the downloaded file. Other files available on the OSF site include a syntax file related to the analyses reported in a published paper and a copy of the survey.

Abstract (en): The purpose of this study was to provide an in-depth look at rapes and attempted rapes in the United States. Part 1 of the collection offers data on rape victims and contains variables regarding the characteristics of the crime, such as the setting, the relationship between the victim and offender, the likelihood of injury, and the reasons why rape is not reported to police. Part 2 contains data on a control group of females who were victims of no crime or of crimes other than rape. The information contained is similar to that found in Part 1. All persons in the United States. A stratified multistage cluster sample. 2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2000-09-29 SPSS data definition statements were updated and SAS data definition statements were added to this collection. Also, the codebooks and data collection instrument are now available in two PDF files. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. The codebooks and data collection instrument for this collection are provided by ICPSR as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Website.This collection of rape cases was taken from the NATIONAL CRIME SURVEY: NATIONAL SAMPLE, 1973-1983 (ICPSR 7635). The definition of rape in the survey includes attempts that involve a verbal threat of rape only. The data in Part 1 were collected at the incident level. Part 2 data were collected at the person level, with information for up to four incidents per person.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

The Department of Statistics (DOS) carried out four rounds of the 2012 Employment and Unemployment Survey (EUS) during 2012. The survey rounds covered a total sample of about fifty three thousand households Nation-wide (53.4 thousands). The sampled households were selected using a stratified cluster sampling design.

It is worthy to mention that the DOS employed new technology in the data collection and processing. Data was collected using the electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a representative sample on the national level (Kingdom), governorates, and the three Regions (Central, North and South).

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

Survey Frame

The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city. The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate were considered as an independent stratum. The same was applied to rural areas where they were considered as an independent stratum. The total number of strata was 30.

And because of the existence of significant variation in the social and economic characteristics in large cities, in particular, and in urban areas in general, each stratum of the large cities and urban strata was divided into four sub-stratums according to the socio- economic characteristics provided by the population and housing census 2004 aiming at providing homogeneous strata.

Sample Design

The sample of this survey was designed using a stratified cluster sampling method. The sample is considered representative on the Kingdom, rural, urban, regions and governorates levels, however, it does not represent the non-Jordanians.

Sampling notes

The frame excludes the population living in remote areas (most of whom are nomads). In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike. However, it is worth noting that the collective households identified in the harmonized data, through a variable indicating the household type, are those reported without heads in the raw data, and in which the relationship of all household members to head was reported "other".

This sample is also not representative for the non-Jordanian population.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It is divided into a number of main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.

Cleaning operations

Raw Data

A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.

Harmonized Data

• The SPSS package is used to clean and harmonize the datasets.
• The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
• All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.

Response rate

The results of the fieldwork indicated that the number of successfully completed interviews was 48880 (with around 91% response rate).

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

The Department of Statistics (DOS) carried out four rounds of the 2012 Employment and Unemployment Survey (EUS) during 2012. The survey rounds covered a total sample of about fifty three thousand households Nation-wide (53.4 thousands). The sampled households were selected using a stratified cluster sampling design.

It is worthy to mention that the DOS employed new technology in the data collection and processing. Data was collected using the electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a representative sample on the national level (Kingdom), governorates, and the three Regions (Central, North and South).

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered a national sample of households and all individuals permanently residing in surveyed households.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN

Survey Frame

The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city. The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate were considered as an independent stratum. The same was applied to rural areas where they were considered as an independent stratum. The total number of strata was 30.

And because of the existence of significant variation in the social and economic characteristics in large cities, in particular, and in urban areas in general, each stratum of the large cities and urban strata was divided into four sub-stratums according to the socio- economic characteristics provided by the population and housing census 2004 aiming at providing homogeneous strata.

Sample Design

The sample of this survey was designed using a stratified cluster sampling method. The sample is considered representative on the Kingdom, rural, urban, regions and governorates levels, however, it does not represent the non-Jordanians.

Sampling notes

The frame excludes the population living in remote areas (most of whom are nomads). In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike. However, it is worth noting that the collective households identified in the harmonized data, through a variable indicating the household type, are those reported without heads in the raw data, and in which the relationship of all household members to head was reported "other".

This sample is also not representative for the non-Jordanian population.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It is divided into a number of main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.

Cleaning operations

Raw Data

A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.

Harmonized Data

• The SPSS package is used to clean and harmonize the datasets.
• The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
• All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
• A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
• A post-harmonization cleaning process is then conducted on the data.
• Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.

Response rate

The results of the fieldwork indicated that the number of successfully completed interviews was 48880 (with around 91% response rate).

Abstract (en): This data collection, a revised version of SCHOOLS AND STAFFING SURVEY, 1987-1988 UNITED STATES, consists of four integrated surveys of schools, administrators, and teachers in the United States. Information is presented separately for public and private schools in this revised version of the collection. Parts 1 and 2, the Teacher Demand and Shortage Surveys, provide information on student enrollment, number of teachers, position vacancies, new hires, teacher salaries and incentives, and hiring and retirement policies. Parts 3 and 4, the School Administrator Surveys, include information about training, experience, professional background, and job activities of school principals and headmasters. Parts 5 and 6, the School Surveys, present data on student characteristics, staffing patterns, student-teacher ratios, types of programs and services offered, length of school day and school year, graduation and college application rates, and teacher turnover rates. Questions in Parts 7 and 8, the Teacher Surveys, cover teacher education and training, teaching assignment, teaching experience, certification, teaching workload, perceptions and attitudes about teaching, job mobility, and workplace conditions. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Checked for undocumented or out-of-range codes.. Public and private schools in the United States. Stratified sample. 2006-01-18 File DOC2733.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-18 File CB2733.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2000-05-01 Information about variable values has been added to the SAS and SPSS data definition statements.1999-08-18 Decimal specifications in the SPSS data definition statements for this collection have been corrected. (1) This revised version of the collection is derived from the NCES's "Schools and Staffing Survey (SASS) and Teacher Followup Survey (TFS) CD-ROM: Public-Use Data for 3 Cycles of SASS and TFS." This version contains created variables and supersedes ICPSR 9846. (2) The codebook and technical manual are provided as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

Data for the paper: Luke, M. A, Carnelley, K.B., & Sedikides, C. (2019). Attachments in the workplace: how attachment security in the workplace benefits the organisation. European Journal of Social Psychology. Abstract In four studies, we tested if workplace secure attachment entails organisational benefits, given that such relationships are associated with increased positive relationship emotions. In Study 1, employees rated the extent to which colleagues, supervisors, and other individuals fulfill the attachment functions. In Study 2, employees listed up to 10 individuals before completing the same rating task as Study 1. In the remaining studies, employees rated their attachment security with their supervisors (Study 3) or colleagues (Study 4), and completed measures of positive relationship emotions with these individuals, proactive behaviour, organisational allure, and organisational deviance. We found that supervisors and colleagues fulfill attachment functions (Studies 1‐2), and that workplace attachment security confers organisational allure and proactive behaviour due to its association with positive relationships emotions. However, workplace attachment security directly lowers organisational deviance (Studies 3‐4). Thus, supportive and trusting work environments may encourage workplace relationships that could bestow organisational benefits. Datasets are from the four studies discussed in the above paper. Each separate dataset consists of participants’ responses to the survey items from one of the studies discussed in the paper. As all files are SPSS data files, a copy of SPSS is required to open the files.

Abstract

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

The Palestinian Central Bureau of Statistics (PCBS) carried out four rounds of the Labor Force Survey 2012 (LFS). The survey rounds covered a total sample of about 30,887 households, and the number of completed questionaire is 26,898.

The main objective of collecting data on the labour force and its components, including employment, unemployment and underemployment, is to provide basic information on the size and structure of the Palestinian labour force. Data collected at different points in time provide a basis for monitoring current trends and changes in the labour market and in the employment situation. These data, supported with information on other aspects of the economy, provide a basis for the evaluation and analysis of macro-economic policies.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.

Geographic coverage

Covering a representative sample on the region level (West Bank, Gaza Strip), the locality type (urban, rural, camp) and the governorates.

Analysis unit

1- Household/family. 2- Individual/person.

Universe

The survey covered all Palestinian households who are a usual residence of the Palestinian Territory.

Kind of data

Sample survey data [ssd]

Sampling procedure

THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

The methodology was designed according to the context of the survey, international standards, data processing requirements and comparability of outputs with other related surveys.

---> Target Population: It consists of all individuals aged 10 years and older normally residing in their households in Palestine during 2012.

---> Sampling Frame: The sampling frame consists of the master sample, which was updated in 2011: each enumeration area consists of buildings and housing units with an average of about 124 households. The master sample consists of 596 enumeration areas; we used 498 enumeration areas as a framework for the labor force survey sample in 2012 and these units were used as primary sampling units (PSUs).

---> Sampling Size: The estimated sample size in the first quarter was 7,775 households, in the second quarter it was 7,713 households, in the third quarter it was 7,695 households and in the fourth quarter it was 7,704 households.

---> Sample Design The sample is two stage stratified cluster sample with two stages : First stage: we select a systematic random sample of 498 enumeration areas for the whole round ,and we excluded the enumeration areas which its sizes less than 40 households. Second stage: we select a systematic random sample of 16 households from each enumeration area selected in the first stage, se we select a systematic random of 16 households of the enumeration areas which its size is 80 household and over and the enumeration areas which its size is less than 80 households we select systematic random of 8 households.

---> Sample strata: The population was divided by: 1- Governorate (16 governorate) 2- Type of Locality (urban, rural, refugee camps).

---> Sample Rotation: Each round of the Labor Force Survey covers all of the 498 master sample enumeration areas. Basically, the areas remain fixed over time, but households in 50% of the EAs were replaced in each round. The same households remain in the sample for two consecutive rounds, left for the next two rounds, then selected for the sample for another two consecutive rounds before being dropped from the sample. An overlap of 50% is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring purposes).

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was designed according to the International Labour Organization (ILO) recommendations. The questionnaire includes four main parts:

---> 1. Identification Data: The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.

---> 2. Quality Control: This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.

---> 3. Household Roster: This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.

---> 4. Employment Part: This part involves the major research indicators, where one questionnaire had been answered by every 15 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.

Cleaning operations

---> Raw Data The data processing stage consisted of the following operations: 1. Editing and coding before data entry: All questionnaires were edited and coded in the office using the same instructions adopted for editing in the field. 2. Data entry: At this stage, data was entered into the computer using a data entry template designed in Access. The data entry program was prepared to satisfy a number of requirements such as: - Duplication of the questionnaires on the computer screen. - Logical and consistency check of data entered. - Possibility for internal editing of question answers. - Maintaining a minimum of digital data entry and fieldwork errors. - User friendly handling. Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems such as SPSS.

---> Harmonized Data - The SPSS package is used to clean and harmonize the datasets. - The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency. - All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization. - A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables. - A post-harmonization cleaning process is then conducted on the data. - Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.

Response rate

The survey sample consists of 30,887 households, of which 26,898 households completed the interview: 17,594 households from the West Bank and 9,304 households in Gaza Strip. Weights were modified to account for the non-response rate. The response rate in the West Bank was 90.2 %, while in the Gaza Strip it was 94.7%.

Sampling error estimates

---> Sampling Errors Data of this survey may be affected by sampling errors due to use of a sample and not a complete enumeration. Therefore, certain differences can be expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators: the variance table is attached with the final report. There is no problem in disseminating results at national or governorate level for the West Bank and Gaza Strip.

---> Non-Sampling Errors Non-statistical errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey, as well as practical and theoretical training during the training course. Also data entry staff were trained on the data entry program that was examined before starting the data entry process. To stay in contact with progress of fieldwork activities and to limit obstacles, there was continuous contact with the fieldwork team through regular visits to the field and regular meetings with them during the different field visits. Problems faced by fieldworkers were discussed to clarify any issues. Non-sampling errors can occur at the various stages of survey implementation whether in data collection or in data processing. They are generally difficult to be evaluated statistically.

They cover a wide range of errors, including errors resulting from non-response, sampling frame coverage, coding and classification, data processing, and survey response (both respondent and interviewer-related). The use of effective training and supervision and the careful design of questions have direct bearing on limiting the magnitude of non-sampling errors, and hence enhancing the quality of the resulting data. The implementation of the survey encountered non-response where the case ( household was not present at home ) during the fieldwork visit

Abstract

The Jerusalem Household Social Survey 2013 is one of the most important statistical activities that have been conducted by PCBS. It is the most detailed and comprehensive statistical activity that PCBS has conducted in Jerusalem. The main objective of the Jerusalem household social survey, 2013 is to provide basic information about: Demographic and social characteristics for the Palestinian society in Jerusalem governorate including age-sex structure, Illiteracy rate, enrollment and drop-out rates by background characteristics, Labor force status, unemployment rate, occupation, economic activity, employment status, place of work and wage levels, Housing and housing conditions, Living levels and impact of Israeli measures on nutrition behavior during Al-Aqsa intifada, Criminal offence, its victims, and injuries caused.

Geographic coverage

Social survey data covering the province of Jerusalem only, the type locality (urban, rural, refugee camps) and Governorate

Analysis unit

households, Individual

Universe

The target population was all Palestinian households living in Jerusalem Governorate.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame for Jerusalem (J1 and J2) was based on the census implemented by PCBS in 2007 and consisting of enumeration areas. These enumeration areas were used as primary sampling units (PSUs) in the first stage of the sample selection.

The estimated sample size is 1,260 households responding in Jerusalem governorate.

Stratified cluster random sample with two-stages: First stage: Selection of a systematic random sample of 42 enumeration areas (24 EAs in J1 and 18 EAs in J2). Second stage: A sample of 30 responsive households from each enumeration area selected in the first stage.

Sample Strata The population was divided by: 1-Region (Jerusalem J1, Jerusalem J2) 2-Locality type (Jerusalem J1: urban, camp; Jerusalem J2: urban, rural, camp).

Mode of data collection

Face-to-face [f2f]

Research instrument

A survey questionnaire the main tool for gathering information, so do not need to check the technical specifications for the phase of field work, as required to achieve the requirements of data processing and analysis, has been designed form the survey after examining the experience of other countries on the subject of social surveys, covering the form as much as possible the most important social indicators as recommended by the United Nations, taking into account the specificity of the Palestinian community in this aspect.

Cleaning operations

Phase included a set of data processing Activities and operations that have been made to the Forms to prepare her for the analysis phase, This phase included the following operations: Before the introduction of audit data: at this stage was Check all the forms using the instructions To check to make sure the field of logical data and re- Incomplete, including a second field. Data Entry: The data entry Central to the central headquarters in Al-Bireh, was organized The data entry process using the Access Program Where the form has been programmed through this program. Was marked by the program that was developed in the Device properties and features the following: The possibility of dealing with an exact copy of the form The computer screen. The ability to conduct all tests and possibilities Possible and logical sequence of data in the form. Maintain a minimum of errors Portal Digital data or errors of field work. Ease of use and deal with the software and data (User-Friendly). The possibility of converting the data to the other formula can be Use and analysis of the statistical systems Analysis such as SPSS.

Response rate

during the field work we visit 1,820 family in Jerusalem Governorate, where the final results of the interviews were as follows: The number of families who were interviewed (1,188) in Jerusalem Governorate, (715) in J1, (473) in J2.

Sampling error estimates

Accuracy of the Data

Statistical Errors Data of this survey can be affected by statistical errors due to use of a sample. Variance was calculated for the most important indicators and demonstrates the ability to disseminate results for Jerusalem governorate. However, dissemination of data by J1 and J2 area indicates values with a high variance

Non-Statistical Errors It is possible for non-statistical errors to occur at all stages of project implementation or during the collection or entry of data. These errors can be summarized as non-response errors, response errors (respondent), corresponding errors (researcher) and data entry errors. To avoid errors and reduce their impact, strenuous efforts were made in the intensive training of researchers on how to conduct interviews, the procedures that must be followed during the interview and aspects that should be avoided. Practical exercises and theory were covered during the training session. Errors gradually decreased with the accumulation of experience by the field work team, which consisted of permanent and non-permanent researchers who conduct work on every PCBS survey.

In general, non-statistical errors were related to the nature of the Social Survey of Jerusalem and can be summarized as follows: · Many households considered the specific details of the survey as interference in their private lives. · Israeli impact on Palestine (curfew and closure). · Some households thought the survey was related to social assistance or to taxes. · Hesitation by households in the Jerusalem area to supply data because they were afraid of Israeli procedures against them if they participated in a Palestinian survey or activity.

Data Processing The data processing stage consisted of the following operations: 1. Editing and coding prior to data entry: All questionnaires were edited and coded in the office using the same instructions adopted for editing in the field.
2. Data entry: At this stage, data were entered into the computer using a data entry template designed in Access. The data entry program was prepared to satisfy a number of requirements such as:
· Duplication of the questionnaires on the computer screen. · Logic and consistency check of data entered. · Possibility for internal editing of question answers. · Maintaining a minimum of digital data entry and field work errors. · User-friendly handling. · Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems such as SPSS.

Data entry began on April 17, 2013 and finished on July 14, 2013. Data cleaning and checking processes were initiated simultaneously with the data entry. Thorough data quality checks and consistency checks were carried out and SPSS for Windows version 10.0 was used to perform the final tabulation of results.

Possibility of Comparison At this stage, comparison can be made for time series periods and other sources. Where the survey results were compared with the data in 2010. The data were compared with the final results of the Population, Housing and Establishments Census of 2007 for Jerusalem and the results were very consistent.

Limited and anonymized datasets (with code and output) supporting the manuscript "Positive memory specificity is associated with reduced vulnerability to depression". Data from 427 at-risk adolescents recruited from schools in the 1990s. The R code was created in R version 3.4.1 ('Single Candle'), and we recommend running the code in this version. Variable/value labels are available in the SPSS datasets. As its purpose is to enable interested parties to replicate key analyses, please contact us if you encounter any issues using these files.