\n\tList of key concepts for understanding the basics of data\u00a0analysis in English studies.\n<\/p>\n
\n\tBasic data analysis<\/strong>\n<\/p>\n List of key concepts for understanding the basics of data\u00a0analysis in English studies. Basic data analysis Concept Explanation cardinal variable a variable whose value is a numerical measurement along a particular dimension (e.g.age, income, length of words) dependent variable the …<\/p>\n","protected":false},"author":132,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/users\/132"}],"replies":[{"embeddable":true,"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":1,"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":19,"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/pages\/6\/revisions\/19"}],"wp:attachment":[{"href":"https:\/\/sisu.ut.ee\/digitalenglishstudies\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\n
\n \n\n\t\t\t\tConcept\n\t\t\t<\/th>\n \n\t\t\t\tExplanation\n\t\t\t<\/th>\n<\/tr>\n<\/thead>\n \n \n\t\t\t\tcardinal variable\n\t\t\t<\/td>\n \n\t\t\t\ta variable whose value is a numerical measurement along a particular dimension (e.g.age, income, length of words)\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tdependent variable\n\t\t\t<\/td>\n \n\t\t\t\tthe outcome variable, the one that changes as a function of some other parameters of interest; the variable that is being measured or tested in a study, e.g. in a study looking at how tutoring impacts test scores, the dependent variable would be the participants\u2019 test scores, since that is what is being measured.\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tdescriptive statistics\n\t\t\t<\/td>\n \n\t\t\t\tdifferent ways we can describe our data (e.g. measure of central tendency, measure of spread); we use descriptive statistics simply to describe what\u2019s going on in our data\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\texplanatory variable\n\t\t\t<\/td>\n \n\t\t\t\tthe variable that influences the outcome; researchers are looking at how changes in the independent variable cause changes in the dependent variable, e.g. in a study looking at how tutoring impacts test scores, the independent variable would be the type of tutoring.\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tindependent variable\n\t\t\t<\/td>\n \n\t\t\t\tthe variable that influences the outcome; researchers are looking at how changes in the independent variable cause changes in the dependent variable, e.g. in a study looking at how tutoring impacts test scores, the independent variable would be the type of tutoring.\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tinferential statistics\n\t\t\t<\/td>\n \n\t\t\t\ttrying to reach conclusions that extend beyond the immediate data alone, i.e. to infer from the sample data what the population might think; we use inferential statistics to make inferences from our data to more general conditions.\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tmean\n\t\t\t<\/td>\n \n\t\t\t\ta measure of central tendency; to calculate it, all the values of a variable are added and then the sum is divided by the number of values\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tmedian\n\t\t\t<\/td>\n \n\t\t\t\ta measure of central tendency; the value that lies in the middle of a set of values \u2013 50% of the values lie above the median, and 50% lie below the median\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tmode\n\t\t\t<\/td>\n \n\t\t\t\ta measure of central tendency; the value that occurs most frequently in the data\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tnominal variable\n\t\t\t<\/td>\n \n\t\t\t\ta variable whose values are labels for categories that have no intrinsic order with respect to each other (e.g. gender, nationality, native language)\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tordinal variable\n\t\t\t<\/td>\n \n\t\t\t\ta variable whose values are labels for categories that have an intrinsic order with respect to each other but that cannot be expressed in terms of natural numbers (e.g. education, school grades, ratings in a questionnaire)\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tpopulation\n\t\t\t<\/td>\n \n\t\t\t\tthe entire set of a clearly defined group of people or objects; samples may be drawn from the population, with the aim of generalizing from the sample to the whole population\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\trange\n\t\t\t<\/td>\n \n\t\t\t\ta measure of dispersion of data; it is calculated by subtracting the value of the lowest data point from that of the highest data point\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tresponse variable\n\t\t\t<\/td>\n \n\t\t\t\tthe outcome variable, the one that changes as a function of some other parameters of interest; the variable that is being measured or tested in a study, e.g. in a study looking at how tutoring impacts test scores, the dependent variable would be the participants\u2019 test scores, since that is what is being measured.\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tsample\n\t\t\t<\/td>\n \n\t\t\t\ta group of cases (e.g. occurrences, texts, participants) taken from a population that will, hopefully, represent that population such that findings from the sample can be generalised to the population\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tstandard deviation\n\t\t\t<\/td>\n \n\t\t\t\tthe average amount by which each score differs from the mean\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tvariable\n\t\t\t<\/td>\n \n\t\t\t\tsome property of the objects that can vary and that can be measured and described\n\t\t\t<\/td>\n<\/tr>\n \n \n\t\t\t\tvariance\n\t\t\t<\/td>\n \n\t\t\t\tin statistics, the extent to which a set of numbers is spread out from the mean of the set of numbers\n\t\t\t<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"