G3B Individual Research Enquiry Task for 2016 Centres/individual candidates requiring additional support should complete the G3B Candidates’ Individual Project Approval Form. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. For further information please visit: http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Geography GCE – G3B Topics and Titles for 2016 Spec. No THEME G3.2.1 Geography of Crime G3.2.2 Deprivation G3.2.3 Geography of Disease G3.2.4 Environmental Psychology G3.2.5 Leisure and Recreation G3.2.6 Microclimates G3.2.7 Atmospheric and Water Pollution G3.2.8 Geography of Retailing G3.2.9 Rivers G3.2.10 Small Scale Ecosystems TOPIC Changing retail patterns Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Spec No G3 2.8 Theme Geography of retailing: Changing retail patterns Potential aims/titles for an investigation Do changing retail patterns reflect changes in the working life of people? What impacts have the growth of retail ‘giants’ had on central shopping areas? How has the growth of out-of-town shopping impacted on town X? To what extent has Internet shopping impacted on retail areas? 1. Planning Stages of the Investigation Develop your knowledge of the topic by consulting geographical literature or searching the internet. This topic is covered in G2 Changing Human Environments Key Question 2.4 ‘What are the issues being faced in the CDB?’ Decide on issue to be investigated and develop your knowledge of the places being studied. Candidates may decide on an overarching enquiry question, such as: To what extent has the growth of Parc Trostre impacted on Llanelli? Alternatively, candidates may present their enquiry as a hypothesis, such as: There is no significant difference in the types of shops/services that have opened or closed in the last X years in X town. Decide on the location for the investigation and develop your knowledge of the place(s) being studied. Decide on a number of potential locations for fieldwork using O.S maps, local knowledge, local newspaper reports, as well as the census and secondary data from the internet. The size of the areas chosen will need to reflect the available time allocated and quantity of data needed to provide a meaningful conclusion. Sampling within selected areas will be needed and this might require a vehicle or extensive use of bus routes. Visit your chosen location for a pilot survey. This is necessary to familiarise candidates with the environment they will be studying and to confirm its suitability. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Undertake a risk assessment. Candidates need to identify potential risks and how they can be minimised. Teacher and/or parental approval is essential. Obtain any equipment (if required) checking availability and how to operate it. Candidates need to check the availability of suitable equipment and be shown how to operate it, checking that it is in working order and complete with batteries/chargers. This will ensure that they maximise both the quality and quantity of data they will be collecting. Prepare recording sheets and design questionnaire surveys. Candidates should be encouraged to design their own recording sheets and/or questionnaires in the classroom before undertaking fieldwork. Pilot recording sheets and/or questionnaires should be tested either with teacher and/or peer support. Decide on sampling strategy (ies). This stage involves a revision of sampling strategies studied during the AS course. Selected sampling strategies need to be justified and decisions for the non-use of others need to be given. Check weather conditions if relevant. Weather conditions are more critical to the success of some fieldwork methods than others. Decide on day, date and time of survey. In this study it would also be important to record the time of day and season as this may affect the participants of questionnaires or photographic analysis. 2. Arrange appointments if your investigation involves interviews/visits. Data Collection Identify a clear question, hypothesis or issue. Developing sub questions may help to bring greater clarity to complex investigations. Candidates may decide on an overarching enquiry question, such as: To what extent has the growth of Parc Trostre impacted on Llanelli? With sub-questions such as: How has Parc Trostre changed the retail types and patterns within the Llanelli area? Has the growth of Parc Trostre enabled retail expenditure to remain in the Llanelli area? Alternatively, candidates may present their enquiry as a hypothesis, such as: There is no significant difference in the types of shops/services that have opened or closed in the last X years in X town. With sub-questions such as: Which product lines have been more affected by internet shopping? How and to what extent does internet shopping impact on individuals’ physical shopping activities? Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Justify the reasons for selecting the location and the data set(s) you plan to collect. Justification can be based on accessibility, safety concerns and considerations of scale, as well as the time available to complete the data collection. Briefly outline the geographical context of your investigation. Ensure that candidates provide a ‘sense of place’ about the area under investigation. From an assessment perspective it is useful for the examiner to obtain an understanding of the location, scale of the study and the timescales involved. Describe your field area with words and an annotated base map; you could also give some background information about the area. A sketch-map may be useful, together with a brief summary of the location studied and its characteristics. Describe how you collected the data for your study. Include recording sheets / sample questionnaires. The description should include a stage by stage account of precisely how the data was collected. The hallmark of a good description is that it can be replicated. Recording sheets and/or questionnaires should be included. Explain the sampling technique(s) used and justify your choice(s). The AS specification requires candidates to understand the importance of sampling and avoiding bias when collecting data. Selected sampling strategies need to be justified as well as decisions for the non-use of others. Briefly discuss any difficulties / factors affecting your enquiry (e.g. bad weather) and possible bias when collecting information. Difficulties may include the need to adapt /alter the methodology because of unforeseen circumstances. Candidates should think critically about the accuracy and rigour of the data collection methods used. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Data Collection Examples Primary Data Examples (note many of these techniques can be adapted and used for each question) Do changing retail patterns reflect changing in the working life of people? Land Use Survey. Undertake a land use survey based on GOAD maps which provide retail information going back to the 1960’s. Information is given on the location, floor space and names of the retail premises which can be updated. Wi-Fi Survey: Many people are working remotely, with people working in coffee shops etc. Students could investigate the numbers of retail premises that have changed to Wi-Fi-enabled coffee shops in recent years. A current land use survey, compared with an old GOAD map would provide these details. Retail Index Survey: Complete a full survey or transects over a larger city, noting down the types of retailers within each survey area. E.g. department stores, independent. Questionnaires: These could ask targeted questions about peoples working practices and their shopping preferences. This could cover aspects such as the frequency people shop for certain goods during working hours and where these places are located. Product Survey: Students could look at different products, find out where they are being sold and what is being marketed by the product. Questions they might ask are: What is being sold? Where? Description of the item? Description of the location, branding, marketing surrounding the item? What images are being portrayed around the item? What is the key message being delivered or sold? What image / brand is being marketed by this product? An annotated photo would be useful to compliment the questions. This information would be useful in helping to answer questions about whether retail areas were ‘selling’ the image of being connected 24/7 for work, meeting people etc. Secondary Data Examples(note many of these techniques can be adapted and used for each question) GOAD and Land Use Survey. GOAD maps provide retail information going back to the 1960’s. Information is given on the location, floor space and names of the retail premises. Employment Structures: Students could look at employment levels for various industries within an area. For example if traditional town based sectors such as banking, finance and professional services are lower than national averages and employment in transport, distribution and communication are higher, this might suggest some change in the working life of people as the retail pattern has changed. http://www.neighbourhood.statistics.gov.uk/dissemination/ Neighbourhood Statistics provide access to either neighbourhood summaries or detailed data sets. Retail Dynamics in Wales: Government report and research such as the recent one below, often include detailed information on specific towns – these could be used as secondary data directly or as a comparison. Report below gives detailed case studies of Llanelli, Newport, Ruthin, Llangefni and Aberystwyth. http://wales.gov.uk/topics/planning/planningresearch/publis hedresearch/town-centres-and-retail-dynamics/?lang=en Demographic Data: www.ons.gov.uk This is the official website of the Office for National Statistics. For example information on the Labour Market can be found, such as the demographic for employment. As the Baby Boomers are beginning to retire this might be affecting the retailing patterns, such as more health, DIY, home maintenance shops, as opposed to music, clothing etc. This information could be combined with GOAD maps and land-use surveys. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd What impacts have the growth of retail ‘giants’ had on central shopping areas? Primary Data Examples (note many of these techniques can be adapted and used for each question) Void Rate Assessment: By counting the total number of shops within an area, and the number of vacant shops, a void percentage can be calculated. This could be compared with past years. Use a GOAD map and count the number of shops and vacant premises in the same way as the current count to get a void rate from past years. Questionnaires: Could collect data about different aspects of positive and negative impacts, perhaps relating to product selection or store sizes. Equity Audit: By creating a list of shopper roles and the potential buying characteristics of each role, students could investigate the equity of retailing on offer. Students would go around their survey area looking for the products identified with each shopper character. They could conduct a bipolar assessment of the ease of availability of the products identified. Secondary Data (note many of these techniques can be adapted and used for each question) UK National Retail Data: Information from Colliers International GB Retail Report, analyses prime retail locations across Great Britain, looking at rental levels and void rates. http://www.colliers.com/en-gb/uk/insights/property-news/2014/1028slide-in-regional-shop-rents-slows-down#.VHWtFsneg4g Local Data Company: This allows free access to short summaries of reports e.g. 2014 Vacant Levels Report, of over 3000 town centres. http://info.localdatacompany.com/vacancy-report-tell-me-more Business Case Studies: This site produces detailed case studies on how the retail industry has realigned its business in response to external factors. http://businesscasestudies.co.uk/case-studies/byindustry/retail.html#axzz3KB3DXSVI Town Centre Shopper Reports: This can be bought from Experian. It is a report that describes the type of consumer who shops in a town. It gives information on catchment profiles, demographics, consumer expenditure and retail rankings. http://www.experian.co.uk/goad/goad-reports.html Retail Giant Proximity: For each shopping area assess the proximity of retail giant outlets. This could be done using GoogleMaps. Example GOAD map from http://www.experian.co.uk/goad/goad.html Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Primary Data Examples (note many of these techniques can be adapted and used for each question) How has the growth of out-of-town shopping impacted on town X? Accessibility survey: How easy is it to access the town centre and out-oftown retail areas? Calculate a bus index (including number of routes and number of services per day/week), find out the number of parking spaces, the cost of parking, and carry out a qualitative assessment of ease of driving to the location (e.g. congestion) and disability access. Catchment areas: Do town centre and out-of-town retail areas attract different people? Devise a questionnaire for shoppers. Where have they travelled from? (to establish how far they have travelled and where they have come from). If you are carrying out a questionnaire there are other questions you could ask, such as what they are buying on this visit. Shop type survey: Is there an overlap in the types of shops in the town centre and out-of-town retail areas? Is there likely to be competition? Map the types of shops in each area by colour coding categories and marking them on to base maps. Categories could include electronics, music, groceries, clothes and supermarkets etc. Also note the names of the shops and whether they are selling high or low order goods. Secondary Data (note many of these techniques can be adapted and used for each question) Accessibility survey: Online bus timetables, Google Maps ‘Earth View’ for parking spaces, information from the local council and shopping centres about disability access. Rent values for commercial property: Compare in the town centre and out-of-town. e.g. www.rightmove.co.uk www.completelyretail.co.uk Rightmove: Search commercial property Completely Retail: You need to register and be over 18. Free access to information. Work out cost per square metre for a number of premises in each area. Find the mean rent cost in each area. Semi-structured interviews with shop managers/staff: Focus on shops (type or company) that exist in the town centre and the out-of-town retail areas. Example questions - Why are they located in both areas? Do they feel there is competition? Or do they attract different customers? It may be possible to video the interviews, if set up in advance. This would give a more complete impression of their feelings. Footfall survey: Focus on shops (type or company) that exist in the town centre and the out-of-town retail areas. Which retail area gets more customers? Count the number of customers going into the shops. Environmental Quality Assessment (EQA): Is there a difference in the perception of the environment in the town centre and out-of-town retail areas? Would this affect where people shop? Divide the EQA into categories such as ‘natural features’, ‘noise pollution’, ‘safety’, ‘atmosphere and character’ and carry out a bi-polar survey in each area. Take a photo to illustrate your opinion for each category. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Primary Data Examples (note many of these techniques can be adapted and used for each question) To what extent has internet shopping impacted on retail areas? Shop survey and comparison: How have the shops/services in a chosen retail area(s) changed over time as internet shopping has increased in popularity? Use a GOAD map from, for example, 20 years ago and a current one (or blank base map). Categorise shops and services, for example, clothes, electronics, music, books, restaurants, bars, banks, estate agents etc. Construct a table showing types of shops/services and opened/closed over the time period. Assess the current shops against the historical data and note down the number of shops that have closed or opened in each category. Questionnaires: Where do shoppers normally buy certain types of products? (Give categories). Options would be shops, internet with delivery or ‘Click and Collect’. Ask them why they do this. Price comparison: Choose a range of items and note the price on a range of internet retail sites (with delivery and ‘Click and Collect’ options), and in a number of shops. Observation of people: Does observation of people and their behaviour tell us about what they are doing in the retail area(s)? Discreetly observe people (perhaps systematically, for example every 10th person). Answer questions such as - Are they in a hurry? How old are they (devise categories), do they look like they are shopping or working? Are they on their own or in a group/family? It would be useful to do this at different times of the day and on different days of the week. Secondary Data (note many of these techniques can be adapted and used for each question) An internet search will provide accounts for retail companies over the previous accounting year. Use this information to see if you can find how internet sales compare with shop sales, how many products are sold in store compared to online and general information about the company and how it operates. Internet shopping availability: How many of the shops in the retail area have an internet shopping option? Is this likely to impact on the shops’ revenue, either positively or negatively? Consider the implications of options such as ‘Click and Collect’. Use a current GOAD map (giving shop names) and internet searches to investigate whether the shops in the retail area have the option of buying online. If the specific shop doesn’t, investigate whether you can buy the same goods from a different online store. www.experian.co.uk for GOAD maps. Placecheck: What are the advantages and disadvantages of shopping on the internet and in retail areas? Note down, for example, 3 things you like about internet shopping and 3 things you don’t like. Do the same for shopping in a retail area. Ask other people to do this so you get a wide demographic sample (different ages, genders, interests etc.). Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Example Town Centre Shopper Report from http://www.experian.co.uk/goad/goad-reports.html 3. Data Refinement and Display Refine the data into tables. Tables can be helpful in providing an effective summary of the data collected, compiled from individual recording sheets/questionnaires. Use a range of appropriate graphical techniques (given on pages 15 and 16 of the specification) to present the data accurately and clearly. Justify your choices. It is expected that candidates will select more advanced techniques than those used at GCSE and AS. Candidates should be encouraged to be more innovative at this level through, for example, combining graphical and cartographical techniques together. Providing candidates with a list of suitable options may assist with the development and use of more advanced techniques. Candidates need to explain why the chosen technique has been used. Include field sketches and annotated photographs. Include any cartographical (mapping) techniques (given on pages 15 and 16 of the specification). Justify your choices. Evaluate your methods of presentation – how effective are they in showing the data you collected. Would alternative methods have been better? Example of Data Refinement and Display Do changing retail patterns reflect changes in the working life of people? Data Refinement and Display GOAD and Land Use Survey: This is likely to be represented as a map with a key to describe the various categories of the elements surveyed. Wi-Fi Survey: This may be represented on a dot map, to illustrate the distribution of retailing outlets offering free or pay-as-you-go Wi-Fi. Retail Index Survey: This could be presented as a choropleth map, either in survey areas or individual retail spaces, with the data classified into retail type. Questionnaires: These are likely to be represented by a selection of graphs, usually pie charts and bar graphs. Product Survey: This could be presented by a range of methods depending on the data collected. Photographs located on a base map, with annotations could be used. If there is enough data to graph, a histogram might be appropriate. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd What impacts have the growth of retail ‘giants’ had on central shopping areas? Data Refinement and display Void Rate Assessment: This could be presented on a base map, or perhaps in a table or in the form of a bar graph if using comparative areas. Questionnaires: These are likely to be represented by a selection of graphs, usually pie charts and bar graphs. Retail Giant Proximity: This can be represented as a desire lines, representing the distances from shopping areas to retail giant outlets. Equity Audit: Depending on the depth of data collected, this could be represented by located radar diagrams for the bi-polar scores. It could also be represented by bar graphs, if there were a number of products collected for each shopper character. Collated Bi-Polar Score Student Coffee Phones Refill Pad Parent Calpol Toys for under 5's Retired Person Nappies Meat from Butcher Asprin Magazine 0 1 2 3 4 5 6 Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom 7 8 GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Data Refinement and display How has the growth of outof-town shopping impacted on town X? Catchment areas: Display the data for number of people coming from different areas as flow lines. Footfall survey: The data could be displayed as a mirror graph, with ‘town centre’ and ‘out-of-town’ as the two sides, and the shops/types of shops as each category. Environmental Quality Assessment: The data could be displayed as Radar diagrams (one for each area), showing each category and its value. Natural features 10 8 6 4 2 0 Atmosphere and character Noise pollution Safety To what extent has Internet shopping impacted on retail areas? Shop survey and comparison: Example table Type of shop/service Opened Closed Electronics I II Books I IIII Groceries I II Banks II II Restaurants IIII I Bars III I Questionnaires: Pie charts could display the data showing where people buy certain types of products. (3 pie charts – for Shops, Internet with delivery and ‘Click and Collect’). Shops Books Clothes Electronics Groceries Music Price comparison: The data could be displayed as a comparative bar graph. Placecheck: Wordle would display the relative importance of the ideas given. People’s answers could be put into categories so as to get repetition of the same words, leading to a more meaningful Wordle. http://www.wordle.net Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Footfall Survey Example from ESRI and FSC Example from Wordle using responses to Place check survey Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd 4. Description, Analysis and Interpretation Describe and analyse each set of data. Summarise the data using measures of central tendency (mean, median and mode) and dispersion (standard deviation). Use other refining activities that may be relevant such as scaling, ranking and weighting. Look for relationships between the data shown on the graphs and where appropriate use correlation. Although Spearman’s Rank Correlation Coefficient (including statistical significance) is the only statistical technique listed in the AS Specification, candidates should be encouraged, where appropriate and possible, to use other statistical techniques such as Chi-squared and Mann-Whitney U test. Discuss your findings using your geographical understanding of the topic, answering each sub-question in turn. Findings can be defined as the evidence collected throughout the investigation and relate to the tabulation, presentation and analysis of the data collected. Findings can be distinguished from conclusions, which should be specifically related to the research question/sub-questions or hypothesis (es) and should provide an answer to them. Do changing retail patterns reflect changes in the working life of people? Description, Analysis and Interpretation Spearman’s Rank: Null Hypothesis: There is no significant correlation between hours worked and retail index quality in town X. For each sub-area of a town (perhaps Middle or Lower Output Areas) students could work out the Retail Index. The changing working life of people suggests that more the greater percentage of the workforce is working part-time. An area with a larger percentage of the workforce working part-time may have a different retail structure to an area with lots of unemployed or over 49 hour workers. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Null Hypothesis: There is no significant correlation between void rates and retail giant proximity. A scatter graph could be drawn between Distance of Shopping Area away from a Retail Giant (km) and Void Rate of Shopping Area (percentage). Void Rate of Shopping Area (precentage) What impacts have the growth of retail ‘giants’ had on central shopping areas? Description, Analysis and Interpretation Spearman’s Rank: 20 18 16 14 12 10 8 6 4 2 0 0 0.5 1 1.5 2 2.5 3 3.5 Distance of Shopping Area away from a Retail Giant (km) How has the growth of out-oftown shopping impacted on town X? Environmental Quality Assessment: This data could be analysed with a Mann Whitney U test. It would need multiple repeats of the total EQA score for each retail area (town centre and out-of-town). This could be achieved by asking other people to carry out the assessment (if not directly, from photos). Null hypothesis: There is no significant difference in the EQA scores for the town centre and out-of-town retail areas. Example data: Town centre Out-of-town To what extent has internet shopping impacted on retail areas? 35 30 29 35 25 24 Total EQA scores 32 20 40 36 36 39 Shop survey and comparison: This data could be analysed using a Chi-squared test. Null Hypothesis: There is no significant difference in the types of shops/services that have opened or closed in the last ___ years. If the results show a significant difference, it may indicate that certain types of shops/services have closed due to the increase in internet shopping, and that other types have opened in their place. The results will need interpreting though as the Chi-Squared test will not show specifically where the difference is (just that there is a difference). There may be a significant difference but in fact it could be the opposite of what was expected. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd 5. Conclusion and Evaluation Summarise the conclusions you have been able to reach about each of your sub-questions. Your conclusions must be effective and acceptable, linking directly back to the questions. Candidates need to ensure they provide developed conclusions that are supported with detailed evidence. Generalised conclusions are unlikely to achieve beyond Level 2. Evaluate the methods of data collection and sampling techniques used. Evaluative comment should include both advantages and disadvantages and be specific to the data collection and sampling techniques used. Comment on the strengths and weaknesses of the study as a whole and the importance of obtaining accurate and reliable data. Candidates should reflect critically on every stage of their investigation in order to appreciate its strengths and weaknesses. They should also comment on the level of accuracy and degree of reliability of data as these will have a significant impact on their findings and the conclusions drawn. Suggest further research that could be carried out and/or questions to be answered. Further research may involve extending the spatial and/or temporal scale of the study, conducting similar research in a different location(s) or creating further sub-questions that could be investigated. Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom GB3 Individual Research Enquiry Task 2016 Geography of retailing: Changing retail patterns © WJEC CBAC Ltd Written in partnership with Field Studies Council (FSC). FSC is an environmental education charity established in 1943. It is the leading provider of fieldwork with over 50% of all A Level geography students visiting its network of centres each year. http://www.field-studies-council.org/outdoorclassroom