Sentences with phrase «best qualitative services»

Our service is - Speedy: a quick follow - up, efficient recruitment tools and an efficient start - up - Flexible: just like Hays, we aim to put the right person in the right job - Expertise: specialised understanding of the local market This is how we reach a high satisfaction score at our clients and candidates and how we can offer the best qualitative services.

Not exact matches

It's our reputation we are taking care about first of all, we are providing customers with qualitative services by helping them get the expected results; we do the best to protect them off the dishonest actions.

The well known agency from Kharkov, the Ukrainian Fiancee Marriage Agency (UFMA) works since 2007 in Kharkov and in Kiev to provide qualitative services to men, who want to create

Frequent chat reports provide dating brands with qualitative information that can be used to cater services to customers and better attract a particular audience.

That is why it is sometimes better to pay for qualitative and reliable services in order to get the expected results.

Specifically to: 1) collaborate with Crittenton Women's Union (CWU) to create video resources that demonstrate its family skill - building model as a means of building adult capabilities to improve child outcomes; 2) create an initial set of materials for practitioners and leaders of family service - provision systems to be used with caregivers to improve serve - and - return interaction as well as self - regulation and executive function skills; and 3) test these materials as part of a qualitative needs assessment of practitioners who wish to build the capabilities of adults who care for children birth - to - five, with an emphasis on birth - to - three.

Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions in June 2009 and June 2010, the 2011 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictors.

Canadian Ice Service, 4.7 (± 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

Family Voices: Piloting a New Qualitative Measure of Family Engagement for Head Start and Early Head Start Staff and Families (PDF - 2,468 KB) Aikens, Bandel, Akers, Lyskawa, & Jerald (2014) U.S. Department of Health and Human Services, Administration for Children and Families, Office of Planning, Research and Evaluation & Mathematica Policy Research Focuses on the development of qualitative instruments designed to better understand family engagement in Head Start and Early Head Start; draws on pilot data collected during the 2012 - 2013 program year; and provides information about the performance of the piloted interview protocols, revisions made to instruments based on their performance, and the best methods for gathering qualitative information about family engagement experiences from families and staff in futuQualitative Measure of Family Engagement for Head Start and Early Head Start Staff and Families (PDF - 2,468 KB) Aikens, Bandel, Akers, Lyskawa, & Jerald (2014) U.S. Department of Health and Human Services, Administration for Children and Families, Office of Planning, Research and Evaluation & Mathematica Policy Research Focuses on the development of qualitative instruments designed to better understand family engagement in Head Start and Early Head Start; draws on pilot data collected during the 2012 - 2013 program year; and provides information about the performance of the piloted interview protocols, revisions made to instruments based on their performance, and the best methods for gathering qualitative information about family engagement experiences from families and staff in futuqualitative instruments designed to better understand family engagement in Head Start and Early Head Start; draws on pilot data collected during the 2012 - 2013 program year; and provides information about the performance of the piloted interview protocols, revisions made to instruments based on their performance, and the best methods for gathering qualitative information about family engagement experiences from families and staff in futuqualitative information about family engagement experiences from families and staff in future studies.

Her areas of expertise include quantitative data collection, qualitative data collection, home visitation services, child and family services, and family and child well - being.

The company did an extensive, qualitative research project with their main customer segments to better understand what factors drive their decision when it comes to choosing a real estate services company.