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BIOL 1010 (90)
Lecture

cruelty to animals

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Department
Biology
Course
BIOL 1010
Professor
Amanda Helleman
Semester
Fall

Description
 Canadian ex is a case of preferential bestiality (zoophilia) reported. A 54 yr old white male was serving a 5 yr prison sentence for cruelty to animals – a cruelty that had been exhibited in sexual activity with horses  Case study is excellent way of examining the beh of a single indiv in great detail and generating hypotheses that can later be evaluated by controlled research  Useful in clinical settings where focus is on one person. A case study may however not reveal principles characteristic of ppl in general and is unable to provide satisfactory evidence concerning cause effect relationships Epidemiological research  Epidemiology is the study of the frequency and distribution of a disordered in a population  Data re gathered about the rates of a disorder and its possible correlates in a large samples or population  Epediologioical research focuses on determining three features of a disorder:  1) prevalence- the proportion of a population that has the disorder at a given point or period fo time  2) incidence- the # of new cases of the disorder that occur in some period of time usually a year  3) risk factors- conditions or variables that if present increase the likelihood of developing the disorder  knowing this stuff is imp for planning health care facilities, services, etc  depression is twice as common in women than men. Thus gender is a risk factor and this knowledge led to a theory of depression that suggests its due to a style of coping with stress that is more common in women than men The correlational method  correlational method - establishes whether there is a relationship between or among two or more variables  it is often employed in epidemiological research  in correlatioanl research the variables being studied are measured as they exits in nature  this feature distinguishes the method from experimental research in which variables are actually manipulated and controlled by the researcher  ex: national study of Canadian preschoolers showed that behaviour problems were higher among kids from less affluent neighbourhoods Measuring correlation st  1 thing in determining a correlation is to obtain parts of observations of the variables in question. Ex: height and weight  Then the strength of the relationship between the two sets of observations can be calculated to determine the correlation coefficient denoted by the symbol r. the statistic may take any value between –1.00 and +1.00 and it measures both the magnitude and the direction of a relationship  The higher the absolute value of r, the larger or stronger the relationship between the two variables.  An r of either +1.00 or –1.00 indicates the highest possible or perfect relationship whereas an r of 0.00 indicates that the variables are unrelated  If the sign of r is positive the two variables are said to be positively related –as the values for variable x increase those for variable y also tend to increase. Ex: correlation between height and weight is +.88 this would indicate a very strong positive relationships as height increased so does weight  Hendricks and Thompson concluded that CBT is possibly more effective in the elimination of binge eating and binge drinking whereas IPT may be more effec
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