Part 1 of the course will offer an introduction to SPSS and teach how to work with data saved in SPSS format. Part 2 will demonstrate how to work with SPSS syntax, how to create your own SPSS data files, and how to convert data in other formats to SPSS. Part 3 will teach how to append and merge SPSS files, demonstrate basic analytical procedures, and show how to work with SPSS graphics.

v5 (3rd Aug 2023) now replaces v4. The change was for RAAAP-1 data to include Puerto Rico as part of the USA rather than as a separate country.The SPSS (v26) syntax file [v4 used to create the 6th June 2023 version of the datasets] that takes the RAAAP-1, RAAAP-2, and RAAAP-3 main datasets, harmonising the common fields, and concatenates the data into a single dataset. A new variable (RAAAPSurvey) is added to indicate which of the 3 datasets each record is from.

This dataset contains a SPSS (v23) syntax file (.sps) and the relating graph template (.sgt) that can be used to create anonymized graphs of spinal motion in the transversal plane relative to phases of gait. All sections are commented within the script. The algebraic sign of the pelvis gets corrected. It required correction since the pelvis is in alignment of surface rotation, and in order to be in parallel with the vertebral body’s rotation it has to be reversed. So, if the surface above the spinous process runs to the right, this implies a rotation to left of the vertebral body beneath.

Supplementary material related to article: Kruijt A-W, Antypa N, Booij L, de Jong PJ, Glashouwer K, et al. (2013) Cognitive Reactivity, Implicit Associations, and the Incidence of Depression: A Two-Year Prospective Study. PLoS ONE 8(7): e70245. Doi:10.1371/journal.pone.0070245

In this set: - dataset used for analyses in the paper - SPSS syntax for compiling dataset (from NESDA source datasets that are not provided). - SPSS syntax for all analyses reported in the paper - R syntax used to create 'predictor probability plots' (see file S1, on the PLoS site - the supplementary materials mentioned in the paper are hosted also on figshare, but uploaded by 'PLoS' - I 'll try to merge that set with the materials in this set). Questions or comments? -> mail@awkruijt.nl

This data collection consists of the SPSS syntax used to recode existing variables and create new variables from the SURVEY OF INMATES OF LOCAL JAILS, 1996 [ICPSR 6858] and the SURVEY OF INMATES IN STATE AND FEDERAL CORRECTIONAL FACILITIES, 1997 [ICPSR 2598]. Using the data from these two national surveys on jail and prison inmates, this study sought to expand the analyses of these data in order to fully explore the relationship between type and intensity of substance abuse and other health and social problems, analyze access to treatment and services, and make estimates of the need for different types of treatment services in correctional systems.

This dataset comprises syntax, to run in SPSS software, on the Census 2001 Household Controlled Access Microdata Sample (CAMS) Sample of Anonymised Records. The CAMS data are not included here, and prospective users will need to negotiate access to CAMS separately; further information may be found on the Office for National Statistics' Applying to use the controlled access microdata sample (CAMS) web page.

The syntax was developed as part of the research project 'Links between internal migration, commuting and inter-household relationships'. Further information about the project may be found at the ESRC award page.

The syntax runs on CAMS data to create derived variables denoting persons in households which contained one or more migrants. For each migrant, Boolean variables may be created indicating, for example, whether that person is related to anyone else in the household, is the spouse/partner of anyone else in the household, is the sibling of anyone else in the household, and so on. Separate sets of these variables may be derived for relationships to all persons in the household, relationships to other migrants, and relationships to other migrants in the same 'moving group'. Within the original project, the derived variables were constructed for migrants only (about 11% of all CAMS records).

IntroductionThere is a need to develop harmonized procedures and a Minimum Data Set (MDS) for cross-border Multi Casualty Incidents (MCI) in medical emergency scenarios to ensure appropriate management of such incidents, regardless of place, language and internal processes of the institutions involved. That information should be capable of real-time communication to the command-and-control chain. It is crucial that the models adopted are interoperable between countries so that the rights of patients to cross-border healthcare are fully respected.ObjectiveTo optimize management of cross-border Multi Casualty Incidents through a Minimum Data Set collected and communicated in real time to the chain of command and control for each incident. To determine the degree of agreement among experts.MethodWe used the modified Delphi method supplemented with the Utstein technique to reach consensus among experts. In the first phase, the minimum requirements of the project, the profile of the experts who were to participate, the basic requirements of each variable chosen and the way of collecting the data were defined by providing bibliography on the subject. In the second phase, the preliminary variables were grouped into 6 clusters, the objectives, the characteristics of the variables and the logistics of the work were approved. Several meetings were held to reach a consensus to choose the MDS variables using a Modified Delphi technique. Each expert had to score each variable from 1 to 10. Non-voting variables were eliminated, and the round of voting ended. In the third phase, the Utstein Style was applied to discuss each group of variables and choose the ones with the highest consensus. After several rounds of discussion, it was agreed to eliminate the variables with a score of less than 5 points. In phase four, the researchers submitted the variables to the external experts for final assessment and validation before their use in the simulations. Data were analysed with SPSS Statistics (IBM, version 2) software.ResultsSix data entities with 31 sub-entities were defined, generating 127 items representing the final MDS regarded as essential for incident management. The level of consensus for the choice of items was very high and was highest for the category ‘Incident’ with an overall kappa of 0.7401 (95% CI 0.1265–0.5812, p 0.000), a good level of consensus in the Landis and Koch model. The items with the greatest degree of consensus at ten were those relating to location, type of incident, date, time and identification of the incident. All items met the criteria set, such as digital collection and real-time transmission to the chain of command and control.ConclusionsThis study documents the development of a MDS through consensus with a high degree of agreement among a group of experts of different nationalities working in different fields. All items in the MDS were digitally collected and forwarded in real time to the chain of command and control. This tool has demonstrated its validity in four large cross-border simulations involving more than eight countries and their emergency services.

This bundle contains supplementary materials for an upcoming academic publication Do Agile Scaling Approaches Make A Difference? An Empirical Comparison of Team Effectiveness Across Popular Scaling Approaches?, by Christiaan Verwijs and Daniel Russo. Included in the bundle are the dataset and SPSS syntaxes. This replication package is made available by C. Verwijs under a "Creative Commons Attribution Non-Commercial Share-Alike 4.0 International"-license (CC-BY-NC-SA 4.0).

About the dataset

The dataset (SPSS) contains anonymized response data from 15,078 team members aggregated into 4,013 Agile teams that participated from scrumteamsurvey.org. Stakeholder evaluations of 1,841 stakeholders were also collected for 529 of those teams. Data was gathered between September 2021, and September 2023. We cleaned the individual response data from careless responses and removed all data that could potentially identify teams, individuals, or their parent organizations. Because we wanted to analyze our measures at the team level, we calculated a team-level mean for each item in the survey. Such aggregation is only justified when at least 10% of the variance exists at the team level (Hair, 2019), which was the case (ICC = 35-50%). No data was missing at the team level.

Question labels and option labels are provided separately in Questions.csv. To conform to the privacy statement of scrumteamsurvey.org, the bundle does not include response data from before the team-level aggregation.

About the SPSS syntaxes

The bundle includes the syntaxes we used to prepare the dataset from the raw import, as well as the syntax we used to generate descriptives. This is mostly there for other researchers to verify our procedure.

The major goals of the project were to use survey data about victimization experiences among American women to examine: (a) the consequences of victimization for women's physical and mental health, (b) how the impact of victimization on women's health sequelae is conditioned by the victim's invoking of family and community support, and (c) how among victims of intimate partner violence, such factors as the relationship between the victim and offender, the offender's characteristics, and police involvement condition the impact of victimization on the victim's subsequent physical and mental health. This data collection consists of the SPSS syntax used to recode existing variables and create new variables from the study, VIOLENCE AND THREATS OF VIOLENCE AGAINST WOMEN AND MEN IN THE UNITED STATES, 1994-1996 (ICPSR 2566). The study, also known as the National Violence against Women Survey (NVAWS), surveyed 8,000 women 18 years of age or older residing in households throughout the United States in 1995 and 1996. The data for the NVAWS were gathered via a national, random-digit dialing sample of telephone households in the United States, stratified by United States Census region. The NVAWS respondents were asked about their lifetime experiences with four different kinds of violent victimization: sexual abuse, physical abuse, stalking, and intimidation. Using the data from the NVAWS, the researchers in this study performed three separate analyses. The study included outcome variables, focal variables, moderator variables, and control variables.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study is a secondary analysis of data from ICPSR Study Number 27101, Serious and Violent Offender Reentry Initiative (SVORI) Multi-site Impact Evaluation, 2004-2011 [United States]- specifically the adult male dataset -to examine the associations among child support obligations, employment and reentry outcomes. The study addressed the following research questions: Are the demographic, criminal justice and employment-related characteristics of incarcerated men with child support orders significantly different in any important way from incarcerated males without child support orders? Did SVORI clients receive more support and services related to child support orders and modification of debt after release from prison compared to non-SVORI participants? Does having legal child support obligations decrease the likelihood of employment in later waves, net of key demographic and criminal justice history factors? How does employment influence the relationship between child support debt and recidivism? and Is family instrumental support a significant predictor of reduced recidivism or increased employment in models assessing the relationship between child support obligations, employment and recidivism? The study includes one document (Syntax_ChildSupport_Reentry_forICPSR_2012-IJ-CX-0012.docx) which contains SPSS and Stata syntax used to create research variables.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study includes data that was used to investigate the effect of legislative and judicial factors on system responses to sex trafficking of minors (STM) in metropolitan and non-metropolitan communities. To accomplish this, researchers evaluated the effectiveness of the immunity, protection, and rehabilitative elements of a state safe harbor law. This project was undertaken as a response to a growing push to pass state safe harbor laws to align governmental and community responses to the reframing of the issue of sex trafficking of minors that was ushered in with the passage of the Trafficking Victims Protection Act (TVPA). This collection includes 4 SPSS files, 3 Excel data files, and 2 SPSS Syntax files: Child-Welfare-Human-Trafficking-Reports-2013-2017-data.xlsx Judicial-Interview-De-identified-Quantitative-Data-for-NACJD_REV_Oct2018.sav (n=82; 36 variables) Judicial-online-survey-data-for-NACJD_REV_Dec2018.sav (n=55; 77 variables) Juvenile-Justice-Screening-for-HT-2015-MU-MU-0009.xlsx Post-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=365; 1029 variables) Pre-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=323; 159 variables) Recode-syntax-for-pre-implementation-survey-for-NACJD.sps Statewide-juvenile-court-charges-2015-MU-MU-0009-to-NACJD.xlsx Syntax-for-post-implementation-survey-data-to-NACJD.sps Qualitative data from judicial interviews and agency open-ended responses to Post-Implementation of the Safe Harbor Law Survey are not available as part of this collection.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study contains data on sexual assault cases reported to the police for the years 2006-2012, collected from six police agencies and also their corresponding public prosecutor's offices across the United States. The study analyzed the attrition of sexual assault cases from the criminal justice system. This study includes two SPSS data files: Court-Form-2008-2010-Sample-Revised-Nov-2018.sav (801 variables, 417 cases) Police-Form-2008-2010-Sample-Revised-Nov-2018.sav (1,276 variables, 3,269 cases) This study also includes two SPSS syntax files: ICPSR-Court-Form-Variable-Construction-2008-2010.sps ICPSR-Constructed-Variables-Syntax.sps The study also contains qualitative data which are not available as part of this data collection at this time. The qualitative data includes interviews, field observations, and focus groups which were conducted with key personnel to examine organizational and cultural dimensions of handling sexual assault cases in order to understand how these factors influence case outcomes.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study used secondary analysis of data from several different sources to examine the impact of increased oil development on domestic violence, dating violence, sexual assault, and stalking (DVDVSAS) in the Bakken region of Montana and North Dakota. Distributed here are the code used for the secondary analysis data; the data are not available through other public means. Please refer to the User Guide distributed with this study for a list of instructions on how to obtain all other data used in this study. This collection contains a secondary analysis of the Uniform Crime Reports (UCR). UCR data serve as periodic nationwide assessments of reported crimes not available elsewhere in the criminal justice system. Each year, participating law enforcement agencies contribute reports to the FBI either directly or through their state reporting programs. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information. This collection contains a secondary analysis of the National Incident Based Reporting System (NIBRS), a component part of the Uniform Crime Reporting Program (UCR) and an incident-based reporting system for crimes known to the police. For each crime incident coming to the attention of law enforcement, a variety of data were collected about the incident. These data included the nature and types of specific offenses in the incident, characteristics of the victim(s) and offender(s), types and value of property stolen and recovered, and characteristics of persons arrested in connection with a crime incident. NIBRS collects data on each single incident and arrest within 22 offense categories, made up of 46 specific crimes called Group A offenses. In addition, there are 11 Group B offense categories for which only arrest data were reported. NIBRS data on different aspects of crime incidents such as offenses, victims, offenders, arrestees, etc., can be examined as different units of analysis. Distributed here are the codes used to create the datasets and preform the secondary analysis. Please refer to the User Guide, distributed with this study, for more information. The collection includes 17 SPSS syntax files. Qualitative data collected for this study are not available as part of the data collection at this time.