Answer:
c. Leonard attributes earning a good grade in his psychology class to the fact that he is an exceptionally hard working student who is also incredibly smart.
Explanation:
Self-serving bias refers to the attributions that enable us to see ourselves in a favourable light following an outcome. In this case, the outcome is the fact that Leonard earned a good grade in his psychology class. Leonard sees this as an accomplishment that is 100% attributable to him. This shows that he is employing the self-serving bias, as he sees himself in a favourable light.
Answer:
Nominal
Explanation:
This question is missing its options. The options for this question are:
a) Nominal
b) Ordinal
c) Ratio
d) Interval
In statistics and research, there are different types of data. One of these types of data is the nominal data.
Nominal variables or data are variables that don't have any quantitative or numerical value. In other words, they usually refer to categories or names.
In this example, a professor asks her students who their favorite character in a novel is. We can see that t<u>he names of the characters don't have any numerical value and the possible options are names</u>. Therefore, this would be a nominal measurement of the data.
i am so sorry im taking up the answer spot but i have to say the answer is not d im not sure what it is but its not d!
Does your question have the following list of options to choose from?
a. behavior therapy
<span>b. psychoanalysis </span>
<span>c. Gestalt therapy </span>
<span>d. systematic desensitization
</span>If so, the answer would definitely be letter b.
Dr. Shedrika uses a psychoanalysis therapy that emphasizes revealing his clients' unconscious conflicts, urges, and desires, which he believes are the cause of his clients' disordered emotions and behavior.
Professor Gliserman
will likely find positive correlation
between the two variables. Positive
correlation is the relationship between two variables that shows that both
increase or decrease simultaneously. The two variables are correlated in the direct sense. High values
of one correspond to high values of the other and equally to low values.