Quantitative Approach Flashcards

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1
Q

In what two ways can quantitative research be used in the sociological research

A

In the study of data, especially numerical data like each income clothes size such are quantitative and a statistical approach will be required

Secondly, necessary in situations where the data would have to be translated into more numerical aspects, for example , the level of enjoyment from getting drunk the research of me as college students at a party to reach the level of alcohol usage on the scale of one to five.
Although drinking is not naturally quantitative, but a researcher can frame the question to give a quantitative answer

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2
Q

What are the two steps of quantitative method sociology?

A

Data collection and analysis

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3
Q

The most traditional method to collect quantitative data analysis is by

A

survey

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4
Q

How does the quantitative methods measure the social world and that measurement, What does it mean?

A

It is done by variables
Variables how we try to understand a specific phenomenon which usually has different values and changes. It is something that is everywhere it is present it is common It is different depending on the situation and how we want to study.
For example, study of not income itself but the difference in income between doctors and teachers
Variable s not the thing itself but something about it a characteristic that is measurable

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5
Q

What is operationalization

A

This involves specifying, how a researcher would approach a larger concepts, specifying it into a specific aspect, to which he wants to study
For example, study of iPhone usage in teens between the ages of 12 to 18. iPhone use is a broad topic but the researcher may specify, type use of the social media app, on the iPhone of teens between 12-18
The researcher has restricted this research to only studying social media, so if a survey comparing game app to so avail media is 2 to 10, yes more teens use social but the researcher does not know if its tik tok or instagram used more. Restricted how the research would be translated

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6
Q

What is the independent and dependent variable?

A

The independent variable is usually what influences the dependent variable it has an effect
While dependent variable is affected by the independent variable, it’s changes because of the independent variable

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7
Q

What does it mean for variables to be spurious in research

A

This means that the two variables share a relationship, because of the third variable connects in them. They are not related to each other without taking into account the third variable.

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8
Q

To determine the type of sampling procedure to be used is based of what?

A

Research question

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9
Q

What’s the difference between population on sample and how does that relate to generalizability

A

Population is the entire group number of people that don’t research is relevant to
Sample is a particular group from that population that is to be investigated
Generalizability is necessary when picking a sample because the sample should produce results that can be used to assume that result also applies to the entire population.

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10
Q

Why is generalizability important

A

It is important, because the subsets of individuals studied should be able to give the researcher an inference that to apply to the entire public
Quantitative methods best in this aspect, because inference from a small sample can be applied to the population as well
A large sample and a good something method can give a reason to move result that can be generalizable to the public.

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11
Q

What 2 qualities of generalizability makes the sample a good guess of what the population is and how do they actually help

A

Large sample size- with a larger size there is a better estimate of what the population is based off the sample
Quality of sampling procedure- random, representative, convening and snowball sampling

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12
Q

Why is random sampling procedure the best method of proffering generalization

A

This is because when each indivisible is picked they have an equal chance of being selected like anyone else
For example, when the are. 4 people to be surveyed all of they have an equal 25% chance of being picked

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13
Q

What issue might a researcher have with selecting a sample randomly

A

The issue is that people can choose to answer or ignore you, the less people answer you the higher the chances of the other people being picked causing it to not be random anymore

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14
Q

How does representative sample differ from random, give an example

A

A representative sample is one that cannot be taken randomly because of a specific a characteristic that forces the sample to be taken as a specific group
For examplestudying a subset of population with a rare allergy

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15
Q

Why is connivence sample bias

A

Because the people picked are based of the ease of access to researcher, picking your friends as people to use in your study

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16
Q

Why is snowballing an advantage to qualitative but a disadvantage to quantitative

A

Snowballing occurs when the people being sample, introduce the researcher to other people they could sample
This is a poor sampling choice for quantitative because, the sample is limited to a specific group of people that are related without giving on equal opportunity to others outside that people group
While the positive part is that this type of method is required to study select groups of people that are difficult to access, for example a gang, class of elites. Without being part of such people it’ll be difficult to survey them, but by gaining access and building rapport you get introduced to others within their group

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17
Q

Secondary analysis, data scraping and quantitative content analysis, all have what in common

A

They are quantitative methods

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18
Q

Thomas decides to research the population of Canadians with children with multiple schlorosis, he realizes to do this he needs, the funds to access those homes around Canada, a massive sample size as it covers the whole Canada and he would need to ensure that somehow those families are interested in being in such a study, what quantitive sampling method would be best to use and what is a disadvantage to this method

A

Secondary analysis, he can use the data collected by the Canadian health government already, but the disadvantage is hell not be able to modify that study depending on his research question
If he wanted to study the percentage of immigrants families which have children with ms, I’df the Canadian government idt survey that, then he can’t know

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19
Q

What procedure originated in marketing and involves using computer software to generate data about people behavior on the internet, give an example

A

Data scraping
The percentage of people who snooze their alarms in the morning depending on the day of the week

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20
Q

What kind of variable is not quantitative, give an example

A

Nominal or categorical
Numbers can not be used to rank or evaluate the data
Race, status, marital status,
Being black or white or Asian does not make you more or less a better human, or being married, single or dating does not signify you have a better relationship with people

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21
Q

When precise values of the variable can be ranked but cannot be used to measure precise differences between ranks we call that

A

Ordinal

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22
Q

What is a likert scale and it’s relationship to quantitative analysis

A

A ranking system where the precise relationship between each rank cannot be identified clearly

23
Q

Income, number of siblings has a measurable quantitative difference between them why and what quantitative analysis is this

A

Ratio
For example,e siblings we can rank them based on the ages they were born and we can say there are certain amount of years between each sibling

24
Q

What gives a quick picture of the content of a variable and how does that relate to descriptive statistics

A

CentrL tendency a descriptive statistic ( information about the distribution of a single variable

25
Q

Using a mode is only applicable in what descriptive statistic

A

Nominal ( most occurring)

26
Q

What measure of central tendency can be used for ordinal, nominal and ratio

A

Mode

27
Q

The percentage that represents the. Variable is the mode not the value it self, true or false

A

True

28
Q

What central tendency separate the value into 2 equal halves

A

Median

29
Q

Median is only applicable to what variable type

A

Ratio and ordinal

30
Q

Can the median and mean of nominal be found

A

No

31
Q

Can the mode and median of ordinal data be found

A

Yes

32
Q

Can the mean of ordinal data be found

A

No

33
Q

Can the mode of ordinal, ratio and nominal be found

A

Yes

34
Q

Can the mode, Median and Mean be found of ratio variable

A

Yes

35
Q

What descriptive statistic has values between 0 and 1

A

Proportion

36
Q

When the median, mode and mean are the same, we have a

A

Normal curve

37
Q

What is kurtosis

A

The extent to how thin or fat a distribution is

38
Q

Explain each with an example:
Platykurtic
Mesokurtic
Lepokurtic

A

Flatter distribution- for example a lot of peoples in the class’s failed the course, so the grades are more spread out
Normal distribution
A peak- a lot of people passed the course, so the average score is very high with a peak greater than the normal distribution but of course a bunch of people at the ends did better or worse

39
Q

Give an example of a positive and negative skew

A

When there is a higher concentration of people at a negative or positive end, causing a deviation form symmetry
Mean follows the squew
Mode dosent follow squew
For example a researcher does a survey to to find out what age people usually retire, it was mostly at 60’s to mid 70s- positive skew
For ex,all’s a research on when kids get a phone since 2018, you’ll find out that a lot of kids have phones as early as 5 years or younger, a negative skew — less people who get their first phone now at ages like 50 or 30

40
Q

What over influences the median and the mean

A

Outlier
Extreme cases that differ from the other distribution of the points

41
Q

What central tendencies apply to bimodal distributions

A

Mode- median and mean irrelevant

42
Q

What statistic measures the relationship between 2 or more variables, by knowing one we know the other

A

Inferential

43
Q

Relationship between values in the population can be found using the inferential statistic from a sample using what Method

A

Quantitative methods

44
Q

What is used to access the bivarate relationship between variable when at-least one of them is nominal or catgorival

A

Cross- tab

45
Q

What does it mean that research question deals with concepts

A

A general idea or topic is what we are trying to understand, from our observations of that general thing we create a question
Study of how the earth revolves the sun, that is a concept , then we can ask how long does it take for it to happen, and use a method like analyzing NASA documents for the past century or interviewing experts about space we have operationalized a concept into a measurable variable that answers our question

46
Q

What is content analysis and explain with an example

A

Study of what people make not people themselves

47
Q

A football match is an example of what type of skew compared to a basketball match

A

Football positiveskew, most of the scores are in the range of 1-10
But basketball have goals that are more scoring at high values and less scoring at 0-5 scores

48
Q

In the answers to an interview 5000 people picked the use of Cars , 10 chose walking and 2000 people picked bicycle. Wha is walking

A

An outlier

49
Q

The measure of a relationship between 2 ratio values with either being close to -1/+1 mean greater the relationship and the closer to 0 worker the relationship

A

Correlation

50
Q

Give an example of negative correlation

A

As the temperature of the weather increase, the sake of winter boot decreases

51
Q

Example of positive correlation

A

As the hours of time spent studying increases, the grade of the student increases

52
Q

What describes the effect of several independent variable in a dependent variable
Give an example

A

Mulitvariate
What causes bad skin
Hygiene, genetics, weather, pillow case p, eating unhealthy, skin care routine,
Many independent variables can be used to test which of them actually causes bad skin, the dependent variable

53
Q

Why do we need multivariate statistics

A

Because we do not use experimentations, in real I’ve many things could explain the reason for a specific phenomenon k