different types of research variable?
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There are nominal variales, ordinal variables and ratio variables in research.
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That depends on what type of ANOVA you're talking about. A one-way ANOVA, or single factor ANOVA, tests differences between groups that are only classified on one independent variable. You can also use multiple independent variables and test for interactions using factorial ANOVA. Where as One potential drawback to an ANOVA is that you lose specificity: all an F tells you is that there is a significant difference between groups, not which groups are significantly different from each other. To test for this, you use a post-hoc comparison to find out where the differences are – which groups are significantly different from each other and which are not. Some commonly used post-hoc comparisons are Scheffe’s and Tukey’s.\n\nA factorial or two-way ANOVA can examine data that are classified on multiple independent variables. For example, a two-way ANOVA (two factor ANOVA) can measure both the difference among treatments and among age of participants simultaneously. You can use more than two independent variables in an ANOVA (e.g., three-way, four-way).\n\nHope this helps. The link below teaches you more on using excel and SPSS software to conduct ANOVA.
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A variable is something that changes.\n\nA control is the thing in your experiment that helps show that tehre are no flaws in it.\n\nCurrently, I'm doing an experiment on the effect of color on a child's brain to follow directions. In this experiment, I give 40 children the same exact test buttt the sheet of paper's color whcih it is printed on changes.\n\nThe variable of this experiment is the different colored pieces of paper\n\nThe control would be the classroom I test it in (do the experiment in the same class each time) and the WHITE piece of paper which will show that there IS an effect.
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There are many variables but the site below may be able to help.
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Observation, research, organization, development and accomplishment
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I love psychology, but you're right about the amount of reading at first. It gets easier later on, though, because you know most of the stuff from the other courses you've already taken. And you get to do research as an undergrad if you're lucky! I also liked microbiology, anatomy, English composition, calculus, and statistics.
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discrete : separate and distinct, as in: The company is composed of three discrete units.\n\ncategorical : Data or variables that differ in kind; they do not vary by amounts or degree. Gender (male, female) is an example of a categorical variable; values of 1=male, 2=female are examples of categorical data. Also known as qualitative or nominal data/variables\n\nOrdinal : The scale of measurement in which data are arranged in rank order.\n\nNumerical : variables that have numbers associated with them, such as height, weight, or annual income. Arithmetic operations can be performed on the values of these variables.\n\nNon-numerical : alpha numeric data\n\nContinuous : Opposed to discrete.
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I think your question have a typo.  There are three variables and I am not sure which one are you trying to solve for.
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A variable is used when ANY number can fit into the equation.  For instance, for the speed equation (s = d/t, where s is speed, d is distance, and t is time),  any number we choose for d, and any number we choose for t will give us s.  A variable is just that, something that vaires.
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Check out this website it might help a bit possibly!?  I use SPSS 14.0 so I'm not sure about the differences but this site is for 13.0 ...http://www.ats.ucla.edu/STAT/SPSS/output/reg_spss.htm\n\nHowever, I'm not sure how familiar you are but the stepwise multiple regression is selected in SPSS by using the Method text box on the Linear Regression box.  You need no particular order but the variables are entered into the analysis such that those that produce the largest increase in the multiple R are entered first.  For instance, if you did not have a particular theory but you wanted to see which of the variables best predicted the outcome variable, SPSS will do this for you based on the extent to which they increased the mutiple R. \n\nHope this helps! Good luck!!
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I don't know enough about your specific topic but you can express variables in science as ratios or functions of other variables.\nIn order to be specific about how these variables effect and relate to each other you must then be specific about the values of the invariables, or constants as they are more commonly called.\n\nSo .. you should be able to relate and analyse variants in terms of the invariants but without being specific as to the nature of the invariants.\n\nI think that would work.
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If you have a quantitative dependent variable and a nominal independent variable, then the one-way ANOVA test is appropriate.\n\nIf you have nominal dependent and independent variables, then a chi-square test for independence is appropriate.
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Are you sure there is a relationship between these variables?  \n\nCan you define pressure tendency? Do they make a pressure tendency gauge?
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It depends on how you operationally define stress and what type of research you are doing. YOu could do qualitative observations or you could have students do likert scales where they rate how certain things known as stressors effect them.
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Thats pretty basic.  The control in the experiment is the constant.  Something that has a predictable outcome.   The variable is the item that you are experimenting on.\nKind of like haveing a placebo in a drug test...
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How about:\noptical activity\npolarisation\nrheology\nelectrochemistry\ndiffusion\nsurface activity
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often it refers to the controllable factors. It could mean that other possible influences on the research have been accounted for.