Psychology
Data handling
Data handling in psychology refers to the process of collecting, organizing, analyzing, and interpreting data obtained from research studies. It involves the use of statistical methods and software to draw meaningful conclusions from the data. Effective data handling is crucial for ensuring the validity and reliability of research findings.
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3 Key excerpts on "Data handling"
eBook - ePubConceptual Maths
Teaching 'about' (rather than just 'how to do') mathematics in schools
- Peter Mattock(Author)
- 2023(Publication Date)
- Crown House Publishing(Publisher)
591 Chapter 14Data handling
The study of data is a relatively recent area of mathematics to develop and be taught in schools. Indeed, there are some who think that Data handling should not be taught in the mathematics classroom at all but rather in the different social sciences (such as geography, business, etc.) where the need to handle data arises. In saying that, there are a number of links between areas in Data handling and other mathematical areas, and so I think there is a definite case for the inclusion of Data handling in the mathematics classroom.Pupils learning about data at school level will, broadly speaking, need to learn about five key areas:- Planning – what types of data can be used to investigate situations and how do we make sure we get good data?
- Collection – how do we gather data?
- Processing data – how do we take collected data and ensure that it is organised in a way that it can be used?
- Representation – what graphs and charts might we draw that might give us insight into patterns or trends within the collected data?
- Analysis and interpretation – what further analysis can we do to help summarise the collected data and how do we go about deciding what this tells us about the situations?
In the past this has been encapsulated in what is called the Data handling cycle, which is designed to show how investigations into specific scenarios can be conducted, including how results then feed into new problems:1We have looked at different representations in the previous chapter , so will cover the other areas in this chapter.592Concept: data planning
Prerequisites: Number.Linked concepts: Data collection, data processing, data representation, data analysis, proportion, probability.One of the first questions we should be asking pupils when it comes to data is, ‘Where does data even come from?’ alongside, ‘Why do we need data in the first place?’ Pupils might appreciate that, ultimately, data comes from asking people about things or from doing things and recording what happens, and that we do this to try and answer questions about things. We can then use this idea to highlight to pupils that, if we need data to answer a particular question then we have, broadly speaking, two sources:
eBook - ePub- Sylvia Turner, Judith McCulloch(Authors)
- 2017(Publication Date)
- Routledge(Publisher)
CHAPTER 4Handling data
SOME KEY CONNECTIONS WITHIN AND ACROSS ATTAINMENT TARGETS• Forms of graphical representation.• Types of average.• Problem-solving in the planning stage of handling data.• Probability and fractional notation.• Scales, measurement and handling data.Using and applying handling data
Introduction
Data, in its many forms including probability, impacts daily on our lives. We see data in the news, in the papers, on cereal packets, in science reports … the list goes on. The way in which this data is handled, either by us or by someone else, greatly influences our understanding of what is being presented. The use of data-handling computer programs has also made effective presentation and interpretation much more accessible to primary school-aged children. Therefore it is in their interests, in line with the old adage ‘a little bit of knowledge is a dangerous thing’ that we teach our children the knowledge, skills and understanding to deal with and use data appropriately.There are five stages of handling data (although you will come across variations):1 Ask the question - what do you want to find out?2 Make a plan - what data will help to answer the question?3 Collect the data.4 Present the data - what form is best suited to the type of data and to enable you to answer the question?5 Interpret the data to answer the question.Experiences of handling data in out-of-school settings may well be considered as part of stage 5. Much of the data we meet in everyday lives is concerned with information that has already been collected and presented. Often, an interpretation is offered based on what the writer wants you to know.Other experiences of handling data that is more specific to teachers include deciding which type of graph is best suited to the age of the children with all the attendant elements such as scale or how best to present findings in science lessons. For many the aforementioned computer programs may appear to make these decisions easier, but as with all technology uncertainty in subject knowledge can place an over-reliance on the computer to make decisions, which may not be the best or appropriate.
- Aparna Raghvan(Author)
- 2020(Publication Date)
- Society Publishing(Publisher)
Data Collection, Analysis, Interpretation, and Utilization 9 CONTENTS 9.1. Introduction .................................................................................... 214 9.2. Methods of Data Collection in the Education .................................. 216 9.3. Methods of Collecting Data in Psychology ...................................... 221 9.4. Data Analysis In Education ............................................................. 228 9.5. Collecting, Interpreting, and Using Data To Inform Teaching ........... 229 9.6. Interpreting Data In Psychology ...................................................... 234 9.7. Conclusion ..................................................................................... 236 References ............................................................................................. 237 Chapter Research and Evaluation in Education and Psychology 214 The data collection method is very important in the research and evaluation in education and psychology. The various types of methods are used to col-lect the data. In this chapter, we are going to learn about the data collection, data analysis, data interpretation (DI), and data utilization in the research and evaluation in education and psychology. The various methods and the details about them are described in this chapter. 9.1. INTRODUCTION In educational research, the data collection methods are used to collect information that is then analyzed and interpreted. The collection of information is a very essential step in conducting research and can affect results significantly. Once the research query and sources of information are identified, proper methods of gathering the data are determined. Data collection consists of a broad range of extra specific techniques.
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