If you love swimming but prefer not diving into Sydney Harbour, check out these stunning local pools. From Balmoral Baths and Murrage Rose Beach in Vaucluse to Nielsen Park in Vaucluse – each offers idyllic swimming or scenic walks at their respective tidal pools – making these fantastic locales great spots to get wet without breaking your wallet or embarrassment – plus nothing says Australian quite like taking off your clothes before plunging straight into the water?

Public pools don’t reopen until mid-October, yet many swimmers and parents are making plans to use private pools until then. Although these will be chlorinated pools, UNSW epidemiologist Professor Marylouise McLaws cautions swimmers should take extra precautions such as taking antibiotics or double vaccinating.

Glebe Foreshore, a series of walkable public parks connecting Bicentennial Park with Fish Market. Designed by Andrew Burges Architects (who previously completed Gunyama Park Aquatic and Recreation Centre in Sydney’s west), these pools will occupy sites within Beare Park, Pirrama Park, and Glebe Foreshore – which already offer recreational swimming and fishing opportunities.

At the center of all this drama lies one constant – cost. The project has now ballooned to more than $86 million due to unexpected construction delays caused by Covid pandemic, La Nina, and larger pool than expected – leaving budget unmet in uncertain circumstances. While council must find ways to cut expenses and generate revenues so as to meet its deadline.

No matter the size or style of pool you desire in Sydney, our pool builders and designers have you covered. Offering an impressive variety of designs and shapes to suit every space available to us, our Sydney pool experts will help create the ideal pool oasis in no time at all. Plus they can assist with landscaping features to complete your outdoor paradise experience!

Visit their official website to gain more knowledge of SDY Pools and assess if this exciting venture is the right fit for you. Sign up for their mailing list as well, which will keep you up-to-date. So why wait? Sign up now! And if any queries arise, feel free to reach out – our customer service representatives are standing by 24/7 to assist! They will be more than happy to answer any of your queries and assist in making an informed decision for your home. We look forward to hearing from you! And don’t forget to subscribe to our blog for regular updates and tips on selecting a pool that best meets your needs – best wishes!

The data sgp package offers tools for analyzing longitudinal student assessment data to produce statistical growth percentiles (SGP). SGP analyses are often employed as an alternative to Value-added Models when assessing teacher effectiveness; SGPs rank students with similar starting academic performance relative to each other based on the rate of achievement progress over time, and can allow comparisons of student achievements between state standards and objectives while accounting for differences in the difficulty of assessments.

Users wishing to conduct SGP analyses require longitudinal student assessment data and suitable software or hardware for calculations. Most of the time spent conducting an SGP analysis will likely be spent preparing data; once complete, running analyses itself becomes relatively straightforward.

Starting off SGP analyses can be daunting, so this package offers four sample data sets to get them going. The first, sgpData, specifies data in WIDE format required by lower level functions like studentGrowthPercentiles and studentGrowthProjections; two other data sets (sgpData_LONG and sgptData_LONG) meet this need as do higher-level SGP functions such as abcSGP, prepareSGP and analyzeSGP while the fourth data set (sgpData_INSTRUCTOR_NUMBER) acts like an anonymized teacher-student lookup table used to produce teacher level aggregates.

Data in the sgpData package is organized into eight windows (3 windows annually) of student assessment data in three content areas (Early Literacy, Mathematics and Reading). Each window of student data includes unique student identifiers, scale scores, grade levels and achievement levels for every student in that window of data. Furthermore, demographic/student categorization variables used for creating teacher aggregates are included within sgpData_LONG for use when producing aggregate teacher reports.

Every year, sgpData_LONG is processed through the studentGrowthPercentiles function to generate student growth percentiles at each grade level and content area. These percentiles are then aggregated to produce a mean student growth percentage for every school/district/subgroup.

As seen on the right, the mean SGP for fifth grade students is 57; this indicates that most have achieved grades above 55 statewide average; however, some may have SGPs significantly below 55, signaling less academic progress compared to others in their class.

SGPs provide more understandable results than VAMs as they compare students of similar starting academic performance based on how much progress each one has made rather than just an absolute level of performance. SGPs can make the SGP process easier to comprehend for teachers, administrators, and parents. SGPs can be used to communicate how far a student needs to improve in order to achieve target achievement and help develop plans to do so. SGPs can be particularly helpful for schools and districts seeking the attention of state and local leadership when striving to meet ambitious educational goals. SGPs can effectively communicate the need for high levels of student achievement as part of a comprehensive plan to reduce achievement gaps.