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C2090-011 exam Dumps Source : IBM SPSS Statistics even 1 v2

Test Code : C2090-011
Test name : IBM SPSS Statistics even 1 v2
Vendor name : IBM
: 55 real Questions

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IBM IBM SPSS Statistics Level

IBM Wins a 2018 red Dot Design Award for SPSS statistics | killexams.com real Questions and Pass4sure dumps

The IBM Hybrid Cloud crew is returned at it with yet a different win for design. I’m excited to advertise that their design team has been awarded the 2018 red Dot: communication Design Award for IBM SPSS information in the Interface Design category. This award is a continuation of the design achievements we've considered this previous 12 months, including the A’Design Awards, IF Design Awards, and others. i am extremely joyful to behold the difficult work of their designers and IBM Design proceed to shine and outcome a incompatibility in commercial enterprise software.

First developed within the 1990’s, the crimson Dot Award has been the revered overseas seal of extraordinary design high-quality. Designers, corporations, and agencies from forty five distinctive countries took portion during this yr’s competitors, totaling over 8,600 entries that underwent a 24 member jury.

“All folks that growth in the course of the tough adjudication system to garner a purple Dot maintain each judgement to be satisfied with themselves, because the jury provides their award handiest to creations of extreme design fine. This makes me entire the greater delighted to congratulate the laureates sincerely on their well-deserved success.” — Professor Dr. Peter Zec, founder and CEO of the purple Dot Award

Receiving this award was totally pleasing for their crew and they are honored to be among the winners. here's an incredible fulfillment for their designers who worked on this product, and that they confronted an provocative and difficult taste in engaged on this product.

what is IBM SPSS?

IBM SPSS statistics is a powerful statistics analysis tool that is without doubt one of the most usual records functions. on account that its inception in 1968, SPSS records has been revamped and redeveloped multiple times. Now the design group at IBM has taken on the project of growing a completely fresh consumer adventure.

during this latest redecorate of IBM SPSS records, they applied design considering ideas by way of working carefully with their clients and making sure this modernized edition of SPSS data aligns with their wants. Their superior purpose became to create a magnificent device that isn't handiest effortless and intuitive to outcome exercise of, however that their users can relish.

Our crew and Design strategy

The IBM SPSS design crew is a portion of the IBM Design Studios in Boeblingen, Germany. The group consists of a various group, with many members originating from discrete countries and cultures. Some individuals of the crew had some historical past with records while others maintain been working in this domain for the primary time.

Following the concepts of IBM Design thinking (look at > mirror > Make), their group applied a redesign that brings a more robust focus on clients for SPSS records. The design team carried out intensive research on the user base of SPSS records as a way to view how the utility can greater meet their needs. The current user base stages from less experienced clients akin to students to more skilled clients corresponding to data scientists or traffic specialists. A key insight from the crew’s research changed into that less skilled clients maintain been intimidated both via the math work and the complexity of the application.

the brand unusual designs concentrated on simplifying workflows, decreasing the overall complexity of the UI and interactions, and providing rookies a straightforward on-boarding to statistics and to the product. an extra captious feature within the redecorate turned into a practicing e-book led by way of a personality named Simon, who serves as an in-application book, helping newbie clients tangle into account diverse services and achieve their dreams quicker.

The crew confronted some enjoyable challenges in redesigning a made from such complexity, and one that has additionally been round for therefore decades. a big success of the designers was making the product accessible and tasty to unusual clients with out alienating decade-lengthy, skilled users.

a glance Into the Future

The preview version of their unusual IBM SPSS facts journey become launched in March 2018, and made accessible to the generic public as a trial on the IBM believe conference is Las Vegas, and considering the fact that June 26 , the brand unusual UI is often available to entire SPSS facts subscribers. This preview is simply the prefatory step, providing essentially the most used statistical analyses, and fundamental capabilities for records coaching, for presentation and for reporting consequences. Over privilege here months the group may be working to add greater aspects and capabilities in order to meet adventure needs of entire of their consumer agencies.

not simply Updating — Redesigning

i'm so extremely joyful to view a different Hybrid Cloud design team acquire a world award for his or her work. IBM SPSS information is yet another case of how design is making an immense change in the success of their items. As they continue to exercise design to create more relatable and productive items, they are in a position to supply their clients the experiences that they necessity and wish. I’m thrilled and proud to solemnize the incompatibility that their design team is making in the world of traffic application, and i can’t wait to view how they proceed to repercussion the lives of their users.

Award Winners:
  • Design manager: Caroline legislations
  • Design Leads: Dirk Willuhn and Eva Cochet-Weinandt
  • Design crew: Christian Fritsche, Dimitri Hoffmann, Jaehee (Chloe) Lee, Oleksandr Sabov, Stephan Feger
  • due to these contributing designers: Katrin Ellice Heintze, Leila Johannesen, Marion Bruells, Phil Brucker, Robin Auer, Sammy Schuckert, Stefan Schwarz
  • Design interns: Mengzhu Deng, Nathalie Mader, Ting-Hao (Howard) Huang, Vanessa Ng

  • evaluating the leading huge data analytics utility alternatives | killexams.com real Questions and Pass4sure dumps

    there are many vendors selling products labeled as distinguished statistics analytics application. although, it's challenging to...

    differentiate these products in response to functionality by myself, as lots of the tools share an identical features and capabilities. additionally, probably the most tools expose extremely fine adjustments.

    That being pointed out, your key differentiating elements will seemingly focus on balancing ease of use, algorithmic sophistication and expense when it comes to your organization's capacity and stage of maturity in analytics.

    listed here, they verify items from nine large statistics analytics application companies: Alteryx Inc., IBM, KNIME AG, Microsoft, Oracle, RapidMiner Inc., SAP, SAS Institute Inc. and Teradata Corp. Some of these companies deliver more than one device. view the "main companies of huge information analytics software" sidebar beneath for extra particulars about their specific product choices.

    These vendors signify different facets of the distinguished records analytics market. Let's compare and distinction the ways that these products meet the traffic needs of person groups.

    Analyst expertise and capabilities 

    Some records analytics tools are targeted to novice users, some are focused to expert statistics analysts and a few are engineered to enchantment to each styles of users.

    products corresponding to IBM SPSS Modeler, RapidMiner's equipment, Oracle superior Analytics and the automated Analytics version of SAP BusinessObjects Predictive Analytics are commonly designed to allow clients with a restrained history in facts or information analysis to investigate records, enhance analytical fashions and design analytics workflows with puny or no coding.

    whereas each and every seller wraps its core analytics components with an intuitive user interface to e-book the analyst's growth in records instruction, evaluation, and then mannequin design and validation, the approach taken may vary, primarily when evaluating a stand-alone product, similar to RapidMiner, with one that is a component of a bigger suite, such as the Oracle product.

    tools reminiscent of IBM SPSS statistics, KNIME Analytics Platform, the professional Analytics module of SAP BusinessObjects Predictive Analytics, Microsoft R and the Teradata Aster Analytics platform deliver the more sophisticated functionality that knowledgeable clients expect. Oracle R superior Analytics for Hadoop (ORAAH), probably the most accessories in the Oracle big facts application Connectors suite, offers an R interface for manipulating Hadoop distributed File system information and writing mapper and reducer capabilities in R. this adaptability may be attractive to more advanced information scientists.

    Alteryx and SAS commercial enterprise Miner present functionality tailored to the person's even of knowledge, and very nearly descend into each categories. Alteryx has added advancements to facts profiling to support facts scientists more desirable tangle note their statistics sources. universal, SAS commercial enterprise Miner and IBM's SPSS paraphernalia stand out when it involves assisting greater advanced analytical innovations and model scoring, as well as a broader array of analysis functions, together with neural networks, association evaluation and visualization capabilities.

    Analytical diversity

    depending on the exercise case and application, your company's clients might be required to assist several types of analytics capabilities with a purpose to exercise inescapable sorts of modeling, reminiscent of regression, clustering, segmentation, habits modeling and decision bushes.

    whereas this has resulted in broad support for the a number of styles of analytical modeling at a extreme degree, some vendors maintain invested many years of work into tweaking different types of their algorithms and adding more refined performance. it's crucial to maintain in wit which fashions are most central to your traffic complications and to evaluate the products in terms of how they ultimate serve your clients' company wants.

    or not it's crucial to tangle into account which models are most captious to your enterprise issues and to evaluate the items when it comes to how they ultimate serve your clients' enterprise wants.

    The more develope and better-conclusion -- and, thus, bigger-priced -- paraphernalia will array the top of the line analytical breadth. Oracle records Miner includes an array of standard computing device learning techniques to aid clustering, predictive mining and text mining. both variations of IBM's SPSS product deliver a diverse set of analytical techniques and fashions. And SAS enterprise Miner supports many algorithms and recommendations, including election timber, time sequence, neural networks, linear and logistic regression, sequence and internet route analysis, market basket analysis, and hyperlink analysis.

    The newer era -- and, in some circumstances, lessen-priced -- items support different models, however perhaps with a narrower latitude of algorithmic sophistication.

    The mannequin inventory in Alteryx Analytics Gallery includes such capabilities as regression evaluation, resolution trees, association rule analysis, classification and time series evaluation. KNIME contains methods for textual content mining, picture mining and time sequence evaluation, and additionally integrates desktop gaining learning of algorithms from different open supply initiatives, equivalent to Weka and JFreeChart.

    one more aspect of analytical purview is integration with programming languages and statistical equipment, similar to R, for incorporating latest libraries, as well as user-described performance. in reality, integration with R can be considered an increasingly vital differentiator.

    Alteryx clothier, Microsoft R, SAS traffic Miner, Teradata Aster Analytics, Oracle's ORAAH and KNIME's Analytics Platform entire interface and sheperd integration with R. a brace of of the vendors, including IBM, Oracle, Microsoft, RapidMiner and SAP, deliver a starting to be library of extensions to R and Python, enabling clients to tangle talents of free libraries.

    Scope of the facts to be analyzed

    There are distinctive sides of the scope of the statistics to be analyzed, including the subject of structured vs. unstructured tips, as well as entry to celebrated on-premises databases and statistics warehouses, cloud-primarily based statistics sources, and records managed in huge statistics structures, comparable to Hadoop.

    although, there are varying degrees of assist for information managed inside less-commonplace information lakes -- either managed within Hadoop or in an extra NoSQL records administration equipment supposed to provide horizontal scaling. The factors for distinguishing among the products ought to be according to your corporation's selected requirements for getting access to and processing information volumes and records variety.

    In consciousness of the becoming purview of input sources and the purview of underlying programs used to house those information units, an additional set of rising facets that's being adopted through these providers involves information accessibility. IBM, RapidMiner, Alteryx, Oracle and Microsoft maintain entire better their equipment' facts import, export and connectivity capabilities. These enhancements may still allow clients to entry a more comprehensive checklist of facts sources whereas simplifying and dashing up the technique of loading facts into the products.

    help for scalability and tall performance

    The want for scalable performance is pushed via your company's records volumes and urge for food for analysis. Smaller groups with less records could be able to tolerate products that would not maintain efficiency characteristics that scale with the purchasable components, such because the entry-degree versions of the decrease-conclusion equipment, including RapidMiner, KNIME, Microsoft R Open and Alteryx clothier, which can race on computer techniques and carry out not require additional server add-ons.

    better businesses are more likely to maintain a better stock of statistics sets to analyze, in addition to broader communities of clients. This introduces two extra requirements -- extreme performance and facilitation of collaboration. The adaptability of a product to high-performance architectures is a pretty profitable indication of scalability, and lots of the items can be tailored to the parallelism of Hadoop or employ another skill of attaining faster computation.

    the entire products carry out maintain some sheperd for Hadoop, including IBM SPSS Modeler and SPSS records; RapidMiner's industrial component Radoop, which connects the Studio entrance cessation and Server evaluation engine to records saved in Hadoop; Oracle's huge statistics Discovery and ORAAH equipment; and KNIME's massive information Extensions and Cluster Execution add-ins.

    IBM SPSS now too gives enhanced support for a number of multithreaded analytical algorithms that might too speed efficiency. Teradata Aster Analytics addresses high-efficiency necessities through its hugely Parallel Processing architecture. SAP's professional Analytics edition of SAP BusinessObjects Predictive Analytics can execute in-memory data mining for coping with big-volume statistics evaluation effectively. Microsoft R Server leverages its ScaleR module, a comprehensive library of distinguished data analytics algorithms that assist parallelization. Scoring algorithms implemented the exercise of SAS commercial enterprise Miner can be deployed and completed within a Hadoop environment.

    moreover, integration with Apache Spark seems to be of becoming magnitude. SPSS, KNIME, Oracle, RapidMiner and SAP entire deliver entry to Apache Spark libraries to assist analytics purposes that deserve to scale with exploding statistics volumes. This allows developed applications to tangle competencies of a high-performance cluster platform to dispense the workflow throughout the cluster.

    Collaboration

    As mentioned, the better the company, the extra likely there could be a necessity to share analyses, models and applications throughout discrete agencies and amongst many analysts. agencies that maintain many analysts dispensed across the enterprise may too quest accelerated skill to share fashions and collaborate concerning the interpretation of effects.

    IBM's SPSS Modeler Gold edition provides collaboration capabilities, and RapidMiner's Server product provides support for sharing and collaboration. Alteryx Analytics Gallery gives a mechanism for sharing subtle analytics purposes within the cloud with individuals of an extended corporation. KNIME offers traffic extensions to support crew collaboration, as well as extensions helping operational collaboration, comparable to far off-scheduled execution, file era, shared data house and a workflow repository. SAS commercial enterprise Miner's client-server structure enables traffic clients and data analysts to work collaboratively with the aid of sharing fashions and other work products.

    Alteryx, KNIME and Teradata Aster maintain introduced capabilities to assist maneuver analytical workflows. also, some of the providers maintain begun to study ways to allow their tools to integrate with others that may too maintain complementary practical sweet spots. as an example, Teradata Aster now has an extension to integrate with KNIME that allows clients to leverage the KNIME workflow editor and incorporate Aster Analytics functions into these workflows.

    vendor size and product integration

    companies can too be compared in terms of their measurement. One could compare and distinction what can be stated as the mega-providers, whose distinguished data analytics paraphernalia are just one product amongst a big portfolio of equipment. in case you work for a larger organization that customarily negotiates website-broad, traffic licenses for the total suite of a vendor's paraphernalia from a mega-seller akin to IBM, SAS, SAP or Oracle can be a reasonable option.

    The distinguished vendors sell huge information analytics tools that are portion of a a profitable deal higher tool ecosystem. possibly, the products from a mega-dealer may be at the least slightly built-in and supposed to work together. in addition, some individuals suppose greater comfy with greater providers, with an expectation of stability and consistent customer carrier. even so, you may additionally handiest be able to purchase these big data analytics tools as portion of a an rough lot bigger utility licensing arrangement.

    Smaller vendors, such as KNIME, Alteryx and RapidMiner, maintain revenues which are often in response to licensing and sheperd for a small number of huge information analytics products. A smaller supplier may too provide nearer contact with their product administration and innovation groups, and you'll be able to maintain an outcome on the path of the product roadmap or better functionality.

    A smaller supplier might too be more resilient in terms of expense and the points covered within the licensing association. You must recognise, besides the fact that children, that working with a smaller dealer does present some possibility when it comes to stability, the components purchasable for support and the opportunity that the traffic could be obtained, which may maintain an repercussion on the client relationship.

    The higher vendors are clearly attentive to consumer needs for integration with different techniques, besides the fact that children that commonly centers on different products within each and every supplier's stock. as an instance, SAP Predictive Analytics has superior integration with SAP HANA and BusinessObjects Cloud. SAS traffic Miner has introduced nodes to execute code in a SAS open, cloud-capable, in-memory Viya ambiance. Microsoft presents SQL Server R functions, an R setting up that runs alongside SQL Server and enables clients to combine Microsoft R Server facts with SQL Server and Microsoft's other traffic intelligence tools.

    budget for licensing and renovation

    essentially entire of the vendors sell diverse models or variations of their items, with a purview of prices for acquisition and complete cost of operation. IBM, Oracle, RapidMiner, Teradata and Microsoft promote variations at different tiers, with the license can freight proportional to the facets, capabilities and freedom from obstacles in terms of the volumes of data to be analyzed or the number of processing nodes the product can use.

    KNIME and RapidMiner give free and open supply types of their products, either charging for sheperd functions or for variations aiding commercial enterprise-category functions. KNIME, RapidMiner and Alteryx maintain fairly low licensing charges for a smaller number of users. when you are due to the fact that SAS or SAP, you maintain to contact them for pricing alternatives.

    The market for distinguished statistics analytics software can be a confusing vicinity, however confidently this article has helped you be mindful the benefits big facts analytics utility can supply your firm, and assisted you in differentiating between the selected tools examined privilege here.


    IBM SPSS facts Licenses Renewed | killexams.com real Questions and Pass4sure dumps

    Our annual license for IBM SPSS information has been renewed, and entire licenses bought between today and may 1, 2015 will expire on July 31, 2015.

    in case you purchased a license between may additionally 1, 2014 and nowadays, you maintain been despatched renewal authorization codes by way of electronic mail that may well be used to prolong the expiration date of your software.

    IBM is not renewing version 19 this 12 months, and any one the exercise of that edition (or earlier) will deserve to upgrade to a newer edition.  IBM SPSS facts licenses are available for purchase through OIT for $75 per computing device per 12 months.


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    C2090-011 exam Dumps Source : IBM SPSS Statistics even 1 v2

    Test Code : C2090-011
    Test name : IBM SPSS Statistics even 1 v2
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    : 55 real Questions

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    Technology Infrastructure, Graphics and Visualization, and Adaptive Technologies | killexams.com real questions and Pass4sure dumps

    Technology Infrastructure, Graphics and Visualization, and Adaptive Technologies

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    The association between the parental perception of the physical neighborhood environment and children’s location-specific physical activity | killexams.com real questions and Pass4sure dumps

    The main aim of this study was to investigate the association between parental perceived physical environmental characteristics of the neighborhood and children’s location-specific PA. Furthermore, the association between children’s physical neighborhood environment and their overall MVPA was investigated. As expected, physical neighborhood environmental correlates of children’s PA varied by PA location and perceived physical neighborhood characteristics were unrelated to children’s overall MVPA.

    The presence of neighborhood recreation facilities was the most principal condition for children to be dynamic in public recreation spaces that were located in- or outside their neighborhood. This finding may imply that most reported PA in public recreation spaces took set in facilities that were located inside children’s neighborhood. entire other perceived neighborhood characteristics were unrelated to PA in public recreation spaces that took set inside or outside the neighborhood. Proximity to recreational facilities may promote children’s activity in these facilities, as recreation facilities nearby children’s home are better accessible for children compared to recreational facilities outside the neighborhood. This indicates that intervention developers maintain to focus on the presence of these facilities, rather than focusing on e.g. the aesthetics along the road to these facilities, as aesthetics were unrelated to PA in recreation facilities. In a US study, small public parks, playgrounds, playfields/courts and big public parks were among the five most commonly used PA sites for children; and children were more dynamic in smaller parks compared to larger parks [18]. This may bespeak that providing sufficient public recreation spaces for children can possibly yield positive effects on children’s PA and that the presence of smaller parks nearby can be more effective in increasing PA than larger parks that are further away from children’s home. However, the present results should be interpreted with caution because transpose causality may be present. For example, it is feasible that parents from children who are frequently dynamic in a public recreation space are more sensible of these facilities, compared to parents from children who are mostly dynamic in the garden.

    It is feasible that not only the presence of recreation facilities is principal to define children’s PA in these facilities, but too the presence of features in the recreation facilities and their character may play an principal role in relation to children’s PA. For example, in an Australian study, park improvements (including the establishment of a walking track, a barbecue area, a playground,..) were positively associated with the number of park users, the number of people observed walking and being vigorously dynamic [41]. too in the US, park renovations appeared to increase visitation and overall PA in different age groups [42]. Future research is necessary to investigate if correlates of PA in public recreation spaces inside the neighborhood differ from correlates of PA in public recreation spaces outside the neighborhood.

    Parental perceived land exercise fuse accessibility and crime safety were positively associated with PA in nearby streets and on sidewalks. In another Belgian study that investigated the correlates of children’s dynamic commuting to school, land exercise fuse accessibility was too positively related to children’s dynamic transport to school [43]. These findings may bespeak that a neighborhood with a tall perceived accessibility is principal for children to be dynamic in their neighborhood. The positive relation between crime safety and PA in nearby streets and on sidewalks was expected as safety concerns may judgement parents to restrict their children to play outdoors [44]. too in an Australian study, parental perceptions of safety were positively related to children’s play in their street [20]. A negative association was create between street connectivity and PA in nearby streets and on sidewalks. This negative association with street connectivity can be explained by the fact that a neighborhood with low connectivity is characterized by few intersections and more cul-de-sacs that reduce traffic volume, which results in safer places to play in the streets. The negative association between street connectivity and reported child activity in the neighborhood was too create in a US study [15] and shows that an activity friendly neighborhood for children differs from an activity friendly neighborhood for adults. In adult studies it has consistently been shown that a higher street connectivity is associated with more PA [45, 46]. The challenge for urban planners and policy makers is to develop a neighborhood in which people from different age groups are encouraged to be physically active. For example, this can be done by providing sufficient play space (e.g. small parks) in neighborhoods with a tall street connectivity for walking and cycling.

    In contrast to their hypothesis that an activity unfriendly neighborhood would be associated to more garden PA, but similar to the results of an Australian study [20], no one of the perceived neighborhood environmental factors were related to children’s PA in the garden. Based on these findings, it is assumed that other factors (e.g. family environmental factors such as number of siblings, parental rules, parental encouragement) define children’s PA in the garden and that intervening in children’s neighborhood environment will not influence children’s garden PA. However, further research is necessary as it is feasible that specific garden characteristics (e.g. size of the garden) mediate the association between neighborhood characteristics and children’s garden PA.

    These findings expose that the physical neighborhood environment is mainly related to PA that actually takes set in children’s neighborhood (in nearby streets and on sidewalks) and is probably unrelated to PA in other contexts. This possibly explains the fact that the neighborhood physical environment was unrelated to children’s overall MVPA. As a big portion of children’s overall MVPA takes set outside the neighborhood (e.g. in the sports club or at school) and only a small portion of their overall PA takes set in the neighborhood or public recreation spaces, the influence of the neighborhood physical environment on children’s overall MVPA might be limited; whereas in adults, the neighborhood physical environment relates to overall MVPA in adults [47]. too in an Australian study, the frequency children played in specific outdoor locations (i.e. their own street, their garden and in the park/playgrounds) was unrelated to overall MVPA [20]. However, in the present study, overall MVPA was measured during the school year. It is feasible that the perceived neighborhood environment relates more strongly to overall MVPA during school vacations, because then children maintain less opportunities to be dynamic at schools or in a sports clubs.

    More insight into the location-specific PA correlates will be very informative for policy makers or urban planners, aiming to increase children’s PA levels in specific places (e.g. recreation facilities). Therefore, in future studies the exercise of GPS and/or SenseCams (wearable camera that takes photos automatically) in combination with accelerometers are promising tools for investigating the association between the environment and children’s location-specific PA. By using the combination of GPS and/or SenseCams and accelerometers, children’s PA can be exactly located in the neighborhood and data will not be biased by self-report. too the exercise of activity diaries in combination with accelerometers might provide valuable information (e.g. where the activity took place) to investigate the relation between the perceived neighborhood environment and overall MVPA in specific locations. In future research, too the relation between the perceived neighborhood environment and objectively measured MVPA during vacation and other specific time periods (e.g. captious window MVPA (=after school until 6 pm)) should be investigated.

    Strengths of this study were the exercise of the validated NEWS, the most commonly used questionnaire in the literature to assess environmental perceptions [48], the relatively big sample, the exercise of accelerometry to objectively determine MVPA and the exercise of parental perceptions of the physical environment. The cross-sectional study design is a limitation, as no causal relationships could be examined. Furthermore, no objective measures of location-specific PA were available which made it impossible to test the criterion validity of these measures. too the neighborhood characteristics were measured by self-report. It is feasible that correlated error might maintain influenced the association between the two self-reported measures (i.e. parental reported PA and parental reported neighborhood characteristics) to a small extent. too the response rate of the principals was rather low, which may maintain limited the representativeness of the findings. For example, it is feasible that the present results are not generalizable to children from schools with a lower SES, as participating schools had a slightly higher number of children with tall SES compared to other schools in Ghent (e.g. 27.0 % of children’s mothers did not obtain a secondary education degree in participating schools versus 32.6 % in non-participating schools in Ghent). Besides, 7.0 % of the parents did not fill out the questionnaire after giving informed consent which can maintain resulted in a selection bias.


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