Answer:
The gender binary ideology
Explanation:
The gender binary is the division between two gender masculine and feminine based on cultural or social factors. Society divides its gender in two aspects. These two aspects determine the role of gender in society. There is another or third gender which does not fall under these two categories called inter-sexuality. The gender binary is the causal factor of gender role or identity. These gender roles are responsible for shaping the behavior of a person in society. According to gender identity, cognitive development occurs. In many cases, many people attribute both male and female psychological qualities. Thus because of gender role in the society, Lita challenged her sociology professor to go out just for one day and pronoun other with a neutral pronoun.
<u>Self-awareness</u> means being conscious of the behaviors, preferences, styles, biases, personalities, and so on of people besides oneself.
In the philosophy of self, self-awareness is the reveling in of 1's very own personality or individuality. It isn't to be stressed with recognition inside the feel of qualia. Whilst consciousness is being aware of one's environment and frame and way of life, self-awareness is the recognition of that attention.
Self-consciousness is how a person consciously is aware of and is familiar with their very own man or woman, feelings, motives, and dreams. There are two wide classes of self-awareness: inner self-awareness and external self-awareness.
Learn more about Self-awareness here: brainly.com/question/2071859
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The answer is <u>"c. a confounding variable is an explanatory variable that was considered in a study whose effect cannot be distinguished from a second explanatory variable in the study."</u>
A confounding variable is an outside impact that progressions the impact of a dependent and independent variable. This superfluous impact is utilized to impact the result of an exploratory plan. Just, a confounding variable is an additional variable went into the condition that was not represented. Confounding variables can destroy an analysis and deliver pointless outcomes. They propose that there are connections when there truly are most certainly not. In an examination, the independent variable by and large affects the dependent variable.
