WEBVTT Kind: captions; language: en-us

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Treffsikkerhet: 90% (HØY)

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in this video we will see how to derive descriptive statistics in general mean 

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Treffsikkerhet: 91% (HØY)

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for this and many of the following examples we will be using a data set which you can download from 

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canvas 

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Treffsikkerhet: 80% (HØY)

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which is called stats data. So to open these for the first time you have to go to open Engine movie 

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and then browse and go to that place in your computer where you have stored this file, starts data 

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sped 4010, 2020 and open. 

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After you open this file once, this file will appear down here to the left side and you will be able 

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to directly open it by clicking here. 

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To go back to our file, every time you first load a file you should check your variables. What they 

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are and how they are defined. 

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Ee will go into greater detail about this data set later, for now we will just talk about the basic 

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properties of variables. The first variable is called ID and it's just a designation for each 

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participant 

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so 11, 12, 13 these are all different children, 

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and there is 47 of them- 

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The second variable is sex and it includes males and females. The third variable is called home Lang 

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and it refers to the home language whether it is a majority language or a minority language .

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The fourth variable is called condition and has to do with an intervention provided to some children. 

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And the next set of variables are measured in kindergarten for these children, so we have a 

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measure called matrices which is a general cognitive ability test, we have a measure of letter 

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knowledge, how many letters of the alphabet that children know, 

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Treffsikkerhet: 91% (HØY)

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and a measure of receptive vocabulary, how many words they know and can show it by pointing to the 

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right picture when they hear the corresponding word. In kindergarten we also have a measure of word 

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reading fluency and as you may be able to see here, most of the values are 0 which means that kids in 

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kindergarten don't know how to read any words yet. 

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There are also measures taken in grade one you g1 and grade 2, g2 so we have vocabulary in grade 1 

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and 2 and word fluency in grade 1 and 2. And there is also a measurement of word fluency taken after 

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some reading intervention. Some of these data come from a real study others are made up for the 

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purpose of demonstrations in this course. 

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But otherwise they are very realistic data, so the first thing to check is the definition of the 

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variables. The first four variables here are obviously not numbers they are labels so it's very easy 

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to understand that they are actually measured on a nominal scale there is no ordering in any of 

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these, no rank, 

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there is a bunch of Children here identified by the IDS, there is two categories in sects two labels 

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there is two labels in home language, and to labels in condition. And to check the definition or to 

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correct the definition of a variable, you double click on the variable name and this panel opens up 

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and you can see here what the measuring scale is this is at the nominal level, which is correct, 

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we're not going to change it. 

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We could set it to ordinal or continuous if it were a different kind of variable 

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also Jimovie has a specific type that's called ID, but we don't need to use it here we'll just 

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leave it out the actual nominal scale. And here you can see all the different levels which in this 

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case are the children, you can go to the next variable by clicking here or by clicking here. 

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The sex variable is also measured at the nominal level, we're not changing,it is a text label and the 

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possible labels are f and m. 

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The next variable 

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is again nominal measurement of a text type, and includes two levels: majority and minority language. 

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And the next variable is condition that has control and intervention values measured at the nominal 

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scale level. The next variable matrices 0K which is in fact the number of correct answers in 

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this test. 

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It is actually measured at the ratio level, 

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because it is a real count. So although the data are integers you cannot have half a question 

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answered correctly, you still have a natural zero which means zero correct answers. And so this 

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variable is measured at the ratio level and here is marked as continues, because that's what Jimovie 

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calls the number variables. 

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Treffsikkerhet: 90% (HØY)

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The next variable is also continuous, it's letter knowledge at kindergarten and this is the number of 

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letters known by the child, so again it's a ratio level. Vocabulary at kindergarten is again 

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continuous because it's the number of correct responses in the vocabulary test, so this is correctly 

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assigned to be continues. And then we have vocabulary grade 1 again, correct, vocabulary 

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Treffsikkerhet: 69% (MEDIUM)

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at grade 2, correct,

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Treffsikkerhet: 91% (HØY)

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Word fluency, this is measured as words per minute so it is again a ratio level variable which is 

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marked as continues in Jimovie. 

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Word fluency in grade one, word fluency in grade 2. 

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Treffsikkerhet: 91% (HØY)

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So clicking on this will remove this variable definition panel, and now that we have checked all our 

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variables and ensure that they are correctly defined we can go on and look at some descriptives. To 

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perform descriptive analysis we have to be on the analysis panel here, not the data panel, and click 

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on exploration ,descriptives. 

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And we'll go through this twice because what we can do with nominal level scales and ratio level 

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skills are very different things. So first we should choose our nominal scales, we don't need to do 

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any statistics on the IDS, unless we wanted to check for mistakes of this sort, for example if there 

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are any children that 

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Treffsikkerhet: 73% (MEDIUM)

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that appear twice. So if we want to check that we could add ID here and use a values table to 

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see if any ID appears twice, because that would be a mistake. So I click here on frequency tables as a 

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first thing to look at arw the frequencies of all the values, frequency here means how many times it 

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is observed, we look at the frequenciee. So let's start from the bottom, and you see 

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Treffsikkerhet: 82% (HØY)

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that each ID appears once, all these are once so there are no mistakes in the IDS, none 

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of the IDS appears twice, we're not really interested in this so I'm sending it back. 

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What kind of descriptive statistics can we do with nominal level variables, well not very much, we 

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cannot calculate means or medians so I unclick these, there is no minimum or maximum, we can count how 

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many values we have, and how many missing values we have. You can see here that for our three nominal 

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variables we have no missing value, so there is 47 values of each, none of the other options apply for 

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qualitative, or categorical, or nominal scale variables, so we don't check anything else and that's it 

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for our 

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categorical variables. 

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Now we will do another run for the number, for the quantitative variables. And to go back I click here 

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to close that analysis window, if I click here it comes back. And if I add or remove anything from 

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here if I check anything this result is affected, 

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but I don't want to affect this now, I want to start a new set of descriptives concerning the 

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quantitative, the numeric variables, those are marked as continues in Jimovie. So I want this to be 

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done, 

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I could alternatively close it like that and start a new one. So again I go exploration, descriptives 

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and here we have the beginning of a new set of descriptive analysis, and these will concern the 

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numeric ones. So I clicked on the first variable, 

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I could double click, it it makes no difference, 

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I could send it in here like that 

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Treffsikkerhet: 91% (HØY)

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and back. And to select the whole bunch of variables together I can shift click shift, I'm pressing 

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shift and clicking, and so all of these are selected. And I can send all of these here, I left this one 

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out on purpose because it's the intervention variable and we don't care about it right now. 

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Jimovie will not produce a table of values for quantitative, for numeric variables, because there 

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could be very many different values, indeed each value might even appear only once, so this is not a 

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very informative thing to do with a numeric variable. Instead we can have the indices of central 

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tendency and dispersion that we have already seen. So first we have to check 

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how many values we have and if there are any missing ones, this is always important to check. In terms 

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of central tendency we can get the median and the mean, and we can also ask for the mode when it 

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exists, we're usually not interested in it, if we are we click here and it appears in the list as well. 

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We can look at the individual quartiles, 

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we can look at the minimum and maximum values, the range of values, and the standard deviation. 

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And we can look at some other things that we will talk about later in the course. So these are the 

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basic descriptive statistics that are usually interested in the mean and the median, the range, the 

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standard deviation, the minimum and the maximum. aAd we're usually more interested in the minimum and 

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maximum which are indicative of potential problems than their difference which is the range. So 

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this is a 

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reasonable table of descriptives for a set of numeric variables. And now that we have completed this 

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analysis we can hide the analysis panel, and we can save our results ,or copy/paste the tables into 

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our report. We have one section for the categorical variables and one section for the numeric 

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variables.