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This is the first part of a presentation to prepare you for this SPED4010 course, in research, 

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methods in particular, this part concerns statistics and I am going to first try to explain to you 

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Why you as a master student in Special Needs education, should learn statistics. Let us start with 

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some examples in the first example. Imagine a boy going to second grade who is referred for

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evaluation.

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Due to poor performance at school and disruptive behavior. So you find out that this boy 

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has already been assessed with a couple of tests and there is a report on a full scale IQ of 90 and 

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a vocabulary standard score of 69. What does this mean? What should you do? As a special needs 

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education professional. The answer depends on understanding what these numbers mean. 

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The second example, imagine that you read in the news, that a team of researchers has announced a 

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new screening tool to identify children, with dyslexia supposedly children of all ages, can take a 

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20-minute test online and receive a recommendation that is supposed to be related to, whether they 

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should be followed up with more extensive evaluation, or do not need that. So you read about this 

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tool and you 

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see that it reports it 85 percent sensitivity and 82 percent specificity for the first grades of 

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elementary school. 

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What should you do? Is this something that's worth looking into? Is this something that you should 

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be recommending to your school district? Is what are you going to do about it? The answer to this 

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depends on understanding, what these numbers mean and how they are derived. 

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The third example, imagine that you're reading an advertisement in your professional information 

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sheet about a company who has devised a new Intervention program 

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for children in elementary school, who have great difficulty with the math curriculum. So there is 

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this new intervention and the company claims a very high success rate and indeed point to a research 

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paper, where they have studied this with the sample of 20 children and they claim that the 

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intervention, the children, who receive the intervention improved and the improved by possibly 

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impressive 15%. 

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on a math test and they give this specific information at T value of 2.04 and the p-value of .07. 

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What are you supposed to do with this information? Is this a program, you should be interested in? 

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Do you just go out and buy it. Do you want to learn more about it? The answer to this question, 

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depends on understanding what this study really shows and how it should be interpreted. 

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As a fourth example, let's say you have your own idea from your own practice and experience about 

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how to help children with developmental disorders, communicate better. So, we're talking about 

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children with very low communication skills, and you have some ideas from practice. So you develop 

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your own program, you tried out informally on 20 children that you work with, or that you supervise 

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the work on. And it turns, 

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out that 13 of the children actually improve. 

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apparently from your intervention. So 13 improved 7 don't improve. That sounds like a 

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substantial majority. So is this a good idea? Should you be using more of your time? More resources? 

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Is this a good idea for using the children's time? Working on this intervention? Should you continue 

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to develop and use it? Should you recommend it to others? The answer to this question, depends on 

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understanding the importance of getting 13 out of 20 to improve. So these are all quantitative 

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questions and indeed they are too large extent, statistics questions and the answers to these 

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questions that are from your field. Depend on your understanding of Statistics in particular and on 

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research methods more general. Because the correct answers to these questions also depends on 

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understanding how the studies were set up 

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and what they could possibly demonstrate. So starting at the little more general level. Why do 

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you need to know about research methods? If you're not going to be researcher, the answer is you 

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need this in order to be responsible and competent, special needs education professional. Because 

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you will have to be able to distinguish different kinds of knowledge. And you will have to be able 

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to know when to be confident about something and know when

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you need to be less confident so that you can evaluate the research behind assessments and 

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interventions in and this is not something that we can teach you now because new Assessments in new 

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interventions on, going to come out and you need to be able to evaluate these yourself as they 

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appear or is they are improved. 

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Also, in order to be able to decide what to use, and how to interpret it, and this concerns both 

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individual assessments and individual interventions, as well as policy matters in education. So, if 

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your job is to work with individuals, you will need research methods and statistics to decide what 

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to do with your own individuals. 

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But having a master's in Special Needs education also gives you other possibilities to work in 

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sectors that have to do with planning and policy and assessment. And there you will need to have a 

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different kind of overview and understanding that will let you contributed decisions about more 

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general approaches to assessment intervention in Special Needs education. 

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In this respect, I recommend that you watch a YouTube video. It is actually a somewhat long talk of 

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a bit more than an hour. A presentation regarding an proposed, intervention for autistic children to 

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learn to communicate which is an old one has been well researched and many lessons have been learned 

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from it. 

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And there you will see how important it is both to the professionals as well as do the individuals 

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and their families to have a good grasp of what research methods and statistics, how they help 

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understand and interpret data. And actually save us, not only from wasting our time, but also from 

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misleading and actually making people's lives worse when using interventions that are 

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not really supported by the evidence. So this is a very instructive talk and I recommend that you 

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all watch it and reflect on it. 

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Now, why do we teach methods in plural and not just one? This is a very important question and I hope 

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that by the end of the course, you will have realized that there are different kinds of questions in 

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terms of the kinds of knowledge that we want to find out. The kind of knowledge that we want to 

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obtain. And they're also different ways to obtain knowledge. And this is 

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associated with how confident we are in the knowledge obtained and how general the knowledge is. So 

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how confidently we can use this knowledge to reason about other cases and how we can apply this 

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knowledge and where we can apply it. When is it justified to use this knowledge? And what it is not 

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So, different methods are associated with different kinds of all of these and it's very important to 

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be clear about. For example, when you are learning about an opinion, versus when you're learning 

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about a supposed fact. 

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Opinions and fact are very different things. They're both important for different reasons and 

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different cases. But when it comes to facts, it's also very important to know how well stated fact, 

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is actually supported by evidence. This becomes very important because the fact that will 

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support, it should be a stronger basis for decisions, but something that's claimed to be a fact but 

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isn't actually very strongly supported should probably not be treated as a 

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solid basis for making decisions that affect people's lives. 

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Now, how is the district's factoring in all of this? Why do you need to learn statistics? If you're 

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not going to be running your own studies? Well, first of all, some of you are going to be running 

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your own studies because you're going to do a master theses which is a research thesis, and many 

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of you will choose to do quantitative methods in your theses. Others will choose to do qualitative 

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methods. 

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Treffsikkerhet: 91% (HØY)

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It may seem to some of you at this point that qualitative methods are easier. This is not the case. 

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This is wrong, qualitative methods may seem easier when you don't really understand them. And when 

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you think that qualitative methods is just making stuff up and talking about it, and it seems that 

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people who are untrained in methods. Sometimes have this misconception. 

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Actually all methods are very systematic ways of obtaining knowledge interpreting knowledge and 

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understanding the limitations of the obtained knowledge. This is true for all kinds of systematic 

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and organized collection and doing a good document analysis or a good interview study is actually as 

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hard as doing any good experimental or other 

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data analysis. Qualitative data analysis. 

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Doing an interview is not sitting down with a bunch of friends and talking about stuff and just 

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writing it up, that is not research methods. Doing a good quantitative research study requires 

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you to know about how to design, how to carry out, how to collect the data, how to process the data, 

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how to analyze, and how to interpret the findings from the data. So, that's a reason to learn 

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statistics fro many of you. 

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A second reason, which is very important and is important to every one of you. In order to be 

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able to understand educational research in particular, special needs research. So not everything is 

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known about special needs education. In fact, very little is factually known with confidence at this 

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point. New ideas will come out, new studies

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will be conducted, new conclusions will be drawn new assessments. New interventions will be proposed 

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for the domain that you will be working in. So there will be new research reported and we are not 

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going to be around to interpret this for you as you are doing your job. It will be part of your job 

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to be able to understand what the new findings are and how they may affect your practice. 

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the next reason for learning statistics is, 

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to be able to interpret and report assessment results. 

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Pretty much all assessment tests are based on statistics. This may not make much sense right now 

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because you haven't studied test. But the truth is that test our statistical tools. So in order to 

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be able to understand what a test score means, and what you should do about it, you really need to 

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understand the statistics that goes into creating the test at least, at a basic level. 

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so that you can understand what this course actually say and what they do not say 

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Treffsikkerhet: 88% (HØY)

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And finally, you need to learn statistics in order to be a responsible, special needs education 

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professional in this sense of giving responsible and justified, answers to practical questions of 

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assessment and intervention in your field. 

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There is no way, you will be able to run these evaluations, and give justified answers without 

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understanding how assessments and interventions are statistically presented, statistically 

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evaluated. And finally, there may be personal reasons that you will appreciate. Once you have 

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acquired the tools of statistics. For example, understanding statistics will help you evaluate 

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Treffsikkerhet: 90% (HØY)

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reports in the news and knowing what seems trustworthy and what doesn't will enable you to 

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make some decisions. Some more informed decisions. For example, lifestyle dietary medical decisions 

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because you will be able to understand the findings that underlie advertisements proposals 

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announcements or news, you will be able to look up the studies and see what they actually found. 

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and know how much you can trust these findings and overall to better understand information 

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that is presented to you that is dependent on quantitative research, which is most of it. 

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Treffsikkerhet: 91% (HØY)

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So, some of you may object that you really don't feel comfortable with numbers. 

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Treffsikkerhet: 91% (HØY)

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Before we go into the detailed answer to this. I have to say that if you really are very 

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uncomfortable with numbers. You should probably find something else to do with your life because 

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being in Special Needs education and especially as a master's level graduate requires you to be 

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responsibly using numbers. 

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Treffsikkerhet: 91% (HØY)

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That is not only because you may be asked to help children with math difficulties. And in that case, 

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you should really understand what you will be trying to explain but also because of all the reasons 

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I gave you before because you need to be able to understand assessment scores. You need to be able 

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to understand intervention findings. You need to be able to evaluate the confidence that you can put 

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into various announcements and 

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recommendations. So if you really can't deal with numbers, do something else. But having said that there's not 

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that much but you need to do here. So we're not going to do math. 

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We're really only going to be using Elementary School knowledge. This is not an exaggeration. You 

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can add subtract multiply and divide numbers, and that's it. We don't need any fancy math. 

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Treffsikkerhet: 91% (HØY)

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So the level of math that you're going to need in statistics, is the same or maybe even less than 

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the math you need for basic competence in Special Needs education. 

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It is the mathematicians who do the math in the computers, who run the actual calculations, so you 

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will not really need to do anything demanding in these respects. Nothing that you wouldn't be 

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expected to do as an elementary school graduate. 

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Treffsikkerhet: 91% (HØY)

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Your job will be to be able to think critically about evidence. To think, about the uncertainty, and 

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the confidence. And to do that in an applied way in your field. 

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Treffsikkerhet: 81% (HØY)

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And that will enable you to see the world from a quantitative point of view, not necessarily as an 

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alternative. So you don't have to change a worldview. But this is an additional worldview that will 

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be able to give you access to a much richer information basis. So you will be able to process more 

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information and that can really change your life. So you will acquire competence in a new domain. 

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Treffsikkerhet: 89% (HØY)

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You will develop skills, you need in your field. You will be able to see things from a richer 

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perspective. You will be able to appreciate the uncertainty that is everywhere without being 

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paralyzed by it. Understand that things differing doesn't mean that you cannot make confident and 

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justify choices. So, you will be able to make Justified use of variable information, be able to make 

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informed responsible. 

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decision. That will make you feel more confident that you chose the right thing. And in general 

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Treffsikkerhet: 91% (HØY)

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learning statistics will be able to help you figure out what you can trust more and what you can be 

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more confident about. So, these are all the reasons that you should learn statistics. 