Karteikarten
Ohne Titel
Karten in diesem Stapel (21)
- 1Discrete Variables?The variables have specific categories (A, B, C... etc)
- 2Continuous Variables?The variables lie on a continuum (e.g. 1, 5.65, 2324, etc)
- 3The four levels of measurement1) Nominal
2) Ordinal
3) Interval
4) Rati - 41) Nominal?A numerical value is applied arbitrarily. E.g. 1 = Male , 2 = Female.
- 52) Ordinal?Data is ranked in order. E.g. 1st, 2nd, 3rd etc. (Doesn't tell you size of the gaps between where though!). Expresses magnitude
- 63) IntervalData is ordered in to different within different equal intervals.
E.g. IQ scores are measured in to different intervals, but the different between them is the same. So dif between 95 and 100 is same as 115 and 120 - 74) RatioData is ordered on a ratio basis, with difference between each point being equal. E.g. 0:1:2:4:8 or 0:3:9:27:81
Allows you to make proportional statements, "20kg is twice as heavy as 10kg" - 8Central tendenciesAn attempt to give a single number that represents your variable
1) Mean
2) Mode
3) Median - 9Mean, Mode and MedianMean = The average
Mode = "Most often" value
Median = Middle value number when the scores are ranked - 10Measurements of dispersionA single number that represents the spread of variability
1) Standard Deviation - 11Standard DeviationHow much the variables deviates away from the mean score
- 12Raw score + Standardised scoreRaw score = the score you collected in your sample
Standardised score = Score in comparison to that of the population - 13Descriptive statisticsAllows you to describe characteristics of a data set
- 14Inferential statisticsAllows you to make inferences about a population from a treatment sample
- 15Parametric testsTests conducted on data, if you can assume certain assumptions are met. E.g. normally distributed
- 16Non-Parametric testsTests conducted on data, if you cannot assume certain assumptions are met. These make fewer assumptions than PARAMETRIC tests.
- 17Correlation research designResearch designs that assess the relationship between two more more variables
- 18Experimental research designDiffer from Cor. reseach designs in that involves manipulating the IV to impact your DV.
- 19Independent (or "between") groups designLooking for differences between variables from different groups (e.g 1st years and 2nd years)
- 20Repeated measures (or "Within") Groups designLooking for differences on a variable within the same group of people
- 21CovariateNeither an IV or a DV. A variable that explains other factors that might influence your relationship between your IV and DV.
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- Psychology Karteikarten am Ohne Titel, erstellt von James Lafferty am 20/01/2021.
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- James Lafferty
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