COM 309 Week 2/17-2/19
COM 309 Week 2/17-2/19
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This 4 page Class Notes was uploaded by Alison Wuerch on Friday February 20, 2015. The Class Notes belongs to a course at a university taught by a professor in Fall. Since its upload, it has received 50 views.
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Date Created: 02/20/15
COMSTRAT 309 February 172015 1 Measurement for Qualitative Methods a Statistics and understanding of data i Measure for 1 Concepts 2 Validity Are you doing a good job 3 Reliability b Need to measure validity across platforms c And be able to apply it to anyone Reliability 2 Conceptual Construct De nition a The empirical meaning 3 Operational Meaning a Measuring speci c concepts b Ex How would you measure grip c GOAL to have others take your measure and use it d Operationalization i Creating concepts ii Translating anxiety anger or any emotion and makes it into a measure 4 How would your de nition of athleticism a BMI index b Flexibility c Balance i Many ways to measure a speci c platform 5 Conceptual Fit a Trying to nd the t between the concept what it means and what it does b Works on two different levels i On an operational level 1 How you actually measure the speci c time ii On a conceptual level 1 Needs to be aligned with the operational level 6 Validity a Measuring what I think It should be measuring b Face validity i Not the best test for experiments and getting information in focus groups ii ALL about the face of the question 1 Does it look good or not iii Needs conceptual t 7 Reliability a Can you measure something constantly b Trying to get the closest to the center i Midde valid consistency ii Missing no conceptual t c Bulls eye metaphor i Hitting the same spot Reliable 8 Content Validity a Are you getting information across all dimensions i Mostly using a selfassessment 9 Criterionpredictive a Measure now and predict future b Good predictive validity good conceptual t 10Concurrent a Using a whole dimension of different types of people b Making a clear distinction between you and the other people 11Construct Validity a Not predictive but acts in a predictive manner b Should predict what it should predict c NON exclusive i Looking at relationships between things not predictability d Correlation does not prove causation 12Stability a Looking at the same scores across different people b Test retest i Need a strong relationship between the two ii Trying to measure reliability 13lnterna consistency a Split half i Tries to decrease personal bias ii Very different way of measuring iii Same concept in different ways b Crosnbachs alpha i Trying to achieve an alpha score ii Alpha score 1 Statistical program to put you on a ranking scale 2 Want the average of the numbers to all be close in scale to each other 3 08 reliable 4 02 unreliable February 192015 1 Variables a Independent variable IV i Something you manipulate throughout the research process b Dependent variable DV c The independent variable predicts the dependent variable 2 Levels of measurement a Nominal i Assigns participants with numbers but they have no meaning ii No leftovers 1 If there are leftovers a new category must be made iii Different categories for placing different items 1 Such as putting away silverware 2 Plates go with plates and forks with forks 3 Each has a different category they belong to b Ordinal i Having a sense of ranking within your research ii The idea that something is worth more than something else iii Problem is everyone has different perspectives iv Also many do not know the difference between ranking one answer as one and ranking one answer as ve c lnterval i The difference between 12 is different from 23 ii Everyone has different perspectives but there is still a single measure that is used by everyone 1 Ex Fahrenheit and Celsius a There is an absolute zero b And this unit of measuring is the same across all nanns d Ratio i Same characteristics as Interval but there is one true meaningful zero ii Absolute zero can be true for weight or age 3 Discrete a Internal and most ratio measurements are used most through the discrete measure b Still can39t have half measures c Can be described as the Independent variable 4 Continuous a Creating a scale with numbers b Can be described as the Dependent variable 5 lsomorphism a How well does it correspond with the real numbers b Actual belief or reality c Always measures something real
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