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Comm 341


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Paul Hogue


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[Front]


Independent variable is the variable that changes or controlled The dependent variable is tested and measured
[Back]


be able to identify Independent and Dependent variables from a hypothesis

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Comm 341 - Marcador

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Comm 341 - Detalles

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Independent variable is the variable that changes or controlled The dependent variable is tested and measured
Be able to identify Independent and Dependent variables from a hypothesis
Variables are must be correlated( Ex: Education level of parents are found to be correlated to the education level of their children) Cause takes place before the effect. „ Example: Education level of parents usually is determined BEFORE the education level of their children. Thus the education level the education level of their children. Thus the education level of parents of parents is likely to be the cause in this relationship. „ Effect cannot be explained in terms of a third variable Effect cannot be explained in terms of a third variable (nonspurious). (nonspurious). Example of a spurious relationship: Ice cream sales are positively correlated with number of people drown at the beach. And ice cream eating happens before the drowning. But is eating ice cream causing people to drown? No, because there is a third factor: hot weather. Hot weather cause ice cream consumption to go up, and number of people swimming to go up at the same time. Hot weather, in this case, has caused a spurious relationship between ice cream consumption and number of people drown.The three criteria for nomothetic causality--be able to identify examples of these, like spurious relationships
Conceptualization is the process of specifying what we mean when we use particular terms. It is the reverse process of when we use particular terms. It is the reverse process of conception. conception. Example: When we see the concept “feminism”, we make a list of phenomena representing the concept. The list could include the three items listed on the previous slide. Nominal - assigned to a term without a claim assigned to a term without a claim that the definition represents a "real" entity. that the definition represents a "real" entity. Example: genotype, blood type, zip code, gender, race, eye color, political party. Operational definitions - Specifies how a Specifies how a concept will be measured. concept will be measured. Example: term weight of an object, operationalized to a degree, would be the following: "weight is the numbers that appear when that object is placed on a weighing scale".Identify the conceptualization process: conceptualization, nominal definitions, and operationalization/operational definitions
Quota sampling, convenience sampling, purposive sampling, self-selection sampling and snowball sampling.
Be able to identify probability versus non probability sampling methods and be able to label them as such
Stratified sampling and cluster sampling.
Sampling considerations in content analysis
Limited to recorded communication
Weaknesses of content analysis