SOME TINGS ARE BOUND TO BEEE

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Last updated 8:42 PM on 10/8/25
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153 Terms

1
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What is a population?

The group of people or things you’re interested

2
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What is an example of unit of analysis?

If your population is SB students, the student is your unit of analysis (not SB as a school but the individual students).

3
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If your population is NFL games, the _______ is your unit of analysis

game

4
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What are cases? 

Each concrete single unit of your population 

5
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What is an example of a case? 

If your population is SB students, each concrete student that you may study is one of your cases.

6
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If your population is NFL games, _______ that you study is a case

each INDIVIDUAL game

7
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What is the difference between a case and a unit of analysis?

case= EACH specific entity being analyzed

unit of analysis= the entity in general

8
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What is a sample?

the subset of cases within your population for which you have information.

9
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What is a variable? 

anything that has a quantity or quality that varies

10
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What is an example of a variable?

height, weight, number of siblings, favorite song, etc (within a population/sample)

11
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What are QUANTITATIVE variables?

NUMERICAL VALUES!!!

(age, income, how many cups of coffee you have in the morning)

12
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What are QUALITATIVE variables?

WORDS AS VALUES!!!

(religion, where you are from, favorite pizza topping)

13
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What are the formats of datasets?

spreadsheets

  • Cases are rows

  • Columns are variables 


14
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In a dataset spreadsheet, cases are _________?

rows

15
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In a dataset spreadsheet, variables are

columns

16
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What is a visual example of a spreadsheet?

knowt flashcard image
17
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What is a visual example of a variable in a spreadsheet? 

knowt flashcard image
18
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What is a visual example of a case in a spreadsheet? 

knowt flashcard image
19
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What is a codebook?

a text document (MS Word or PDF) listing the variables (questions) and the options that respondents could choose from.

20
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What is conceptualization (of variables)?

defining the variables

21
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What are examples of conceptualizations?

  • Dimensions

  • Indicators

  • Definition


22
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In terms of a variable, what is a dimension?

different aspects or sides 

23
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What are examples of a dimension? 

  • different causes

  • types of symptoms

  • coping mechanisms 


24
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In terms of a variable, what is an indicator?

simple measures “indicating” the absence/presence or frequency of something that may be revealing.

25
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What is an example of an indicator?

If our focus in on schoolwork-related stress, an
indicator could be how often the student worries about schoolwork.

26
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If our focus is on symptoms,
an indicator could be whether the __________

student is able to sleep restfully

27
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Based on the dimension and indicator that we decide to single out, we can go ahead and ________ the concept

define

28
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Stress, for instance, could be defined as _______________

  • worrying about schoolwork on a
    regular basis

  • by one its symptoms (as anxiety-induced loss of sleep)


29
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What is operationalization (of variables)? 

how exactly to measure or observe the variable in the real world.

30
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The way researchers usually employ operationalization is through ___________

questions 

31
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Questions can either be ____________ or____________

open or closed

32
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An open question is when the respondent can __________

answer any way they want

33
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A closed question is when the respondent ____________

choose from a list of options

34
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What are attributes/categories?

the options respondents choose from (within a closed question format)

35
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What are some examples of attributes/ categories (within a closed question format)

If the variable is religion: (Muslim, Christian, Catholic, etc.)


36
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If I write a question that
asks people to rank their preferences from “Strongly Agree” to “Strongly Disagree,” the
attributes may be __________________

1) Strongly Agree

2) Agree

3) Neutral

4)Disagree

5) Strongly Disagree

37
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The TWO REQUIREMENTS of an attribute are:

1) They must be EXHAUSTIVE

2) They must be mutually exclusive

38
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When an attribute is EXHAUSTIVE, it means that ________________

meaning that all possible answers are covered by the attributes—that’s why it’s common to include “Other” as an option

39
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When an attribute is MUTUALLY EXCLUSIVE, it means that ________________

here’s no overlap between attributes: they need to exclude each other

40
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What is measurement level?

One of the main decisions we make in operationalizing our variables is whether we’ll collect
quantitative data  or qualitative data

41
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Measurement level focuses on ________________ variables

continuous and categorical

42
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What is a CONTINUOUS variable?

Variables that measure quantities

43
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What is an example of a continuous variable?

age, income, blood pressure, number of siblings, hours worked per week, GPA

(NUMERICAL VALUES!!!)

44
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What is an example of a categorical variable?

gender, race, religion, place of birth, favorite color, and any yes/no questions

(WORDS!!!!)

45
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What are 2 types of categorical variables?

NOMINAL and ORDINAL.


46
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What are examples of questions asked for nominal variables?

“Are you an athlete?” or “What’s your favorite
pizza topping?”

(NO PARTICULAR ORDER!!!!!)

47
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What are examples of questions asked for ordinal variables?

“What is your school year”? or questions that ask strongly agree all the way
to strongly disagree

(YOU CAN ORDER THE ANSWERS FROM LOW TO HIGH (AND VICE VERSA)!!!!!)

48
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What kind of variable is GENDER?

It’s a nominal variable

49
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What kind of variable is RELIGION?

It’s a nominal variable

50
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What kind of variable is RACE?

It’s a nominal variable

51
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What kind of variable is AGE?

It’s a continuous variable

52
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What kind of variable is EDUCATION? (number of years in school)

It’s a continuous variable

53
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What kind of variable is EDUCATION? (highest level of education achieved)

It’s an ordinal variable

54
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What kind of variable is PLACE OF BIRTH?

It’s a nominal variable

55
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What kind of variable is ZIPCODE? (!!!!)

It’s a nominal variable

56
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What kind of variable is INCOME?

It’s a continuous variable

57
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What kind of variable is MURDER? (like how many murders were committed?)

It’s a continuous variable

58
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What kind of variable is SCHOOL YEAR?

It’s an ordinal variable

59
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What kind of variable is “FROM 1-5: HOW LIKELY ARE YOU TO VOTE?”

It’s an ordinal variable

60
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Continuous variables offer ________ precise data than categorical variables.

more

61
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What is an index?

a variable that results from combining other variables

(asking several questions and combining the answers)

62
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What is a questionnaire?

The list of questions that you will use to create your survey form.

63
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A typical questionnaire is likely to include both ________________

Demographic and Behavioral/attitudinal questions

64
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In a questionaire, both question types are acceptable but __________ is preferred

closed

65
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In deciding how to write our questions we need to pay attention to each question’s
________________ ; (whether we want it to be nominal, ordinal, or continuous)

measurement level 

66
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What are demographic questions ?

questions that gather information about the respondent's personal
characteristics

67
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What are some examples of personal characteristics being evaluated in a demographic question ?

age, gender, race, ethnicity, education level, income, marital status, and
location

68
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For the population you are studying, you will adjust questions. For instance, if your population is college students, you will ___________

not be interested in education level, since you know that everyone is at the same level

69
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Why do we ask demographic questions?

Because these basic characteristics about who we are or
where we live—even when they are not necessarily connected to our topic—may still make a
difference for the behaviors or attitudes we want to understand

70
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It is common to ask the demographic questions at the _______ of the survey.

end

(we don’t want these questions to influence how people answer your other
questions!!!)

71
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What are behavioral/attitudinal questions?

questions about things people do/don’t do, like/don’t
like, believe in/don’t believe in, etcetera.

72
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What are some examples of behavioral/attitudinal questions? 

  • how often you attend church

  • whether you voted in the last election

  • how much you enjoy meeting new people.


73
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Demographic questions are used to ________________

describe the group in a general sense

74
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Behavioral/attitudinal questions are used to ___________

explore the specific topic we want to study

75
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What is the advantage of open questions?

people may say things that we don’t expect (unique answers)

76
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What is the disadvantage of open questions?

difficult to organize

77
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What is an example of a continuous question that ALSO works as closed question? 

“:How many pets do you have?”


(easy to organize)

78
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What helps make an attribute exhaustive?

Adding OTHER as an option

79
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For closed questions, you need to write the ___________ and the _________

the question and the attributes (options)

80
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You can always turn a continuous data into ordinal or nominal data, BUT __________

NOT THE OTHER WAY AROUND!!!!!

81
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More detail in a survery can lead to _______ accuracy

LESS

82
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You need to decide what type of data to collect (nominal, ordinal, or continuous) based on ______________

what you want to know

83
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The ideal question accomplishes three goals: 


• It measures the underlying concept it is intended to tap
• It doesn’t measure other concepts

• It means the same thing to all respondents

84
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The following rules to accomplish the ideal questions are:

  • Avoid vague terms

  • Define things very specifically

  • Avoid complex sentences

  • Provide reference frames

  • Avoid double barreled questions


85
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What is an example of a double-barreled question? 

“Do you think that SB classes should be easier and more interesting?”

86
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What is univariate analysis?

looking at one variable at a time

87
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What is a frequency distribution?

it’s a way of looking at what answers are more or less frequent.

88
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What is a frequency table?

It shows the answers and how many people
choose each of them, expressed both as total
number of cases (we call this N—for number of
cases) and as a percentage of the total number of
cases.


(represents the distribution for nominal
variables

<p><span>It shows the answers and how many people</span><br><span>choose each of them, expressed both as total</span><br><span>number of cases (we call this N—for number of</span><br><span>cases) and as a percentage of the total number of</span><br><span>cases.</span></p><p></p><p><span>(represents the distribution for nominal</span><br><span>variables</span></p>
89
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What is a histogram?

another common way to represent a distribution

(represents the distribution for a continuous variable!!!!)

<p>another <span>common way to represent a distribution</span></p><p><span><strong>(represents the distribution for a continuous variable!!!!)</strong></span></p>
90
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____________________ are used to represent the distribution for a continuous variable

histograms

91
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________________ are used to represent the distribution for a nominal variable 

frequency tables

92
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In terms of distribution, ordinal terms can be represented in both __________ and ______________

frequency tables and histograms

93
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What is a normal distribution (BELL CURVE)?

The kind of distribution where most cases are in
the middle.

<p><span>The kind of distribution where most cases are in</span><br><span>the middle.</span></p>
94
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Most distributions in real life are not “normal”, However, one example of a variable that would have a “normal” distribution would be ______________? 

height

( as most people tend to be of “average” height,)

95
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What is a positively skewed distribution? 

when most cases are on the lower end—but then
there are some relatively few cases on the very high end.

(“skew” the distribution to the right)

<p><span>when most cases are on the lower end—but then</span><br><span>there are some relatively few cases on the very high end.</span></p><p><span>(“skew” the distribution to the <strong><u>right</u></strong>)</span></p>
96
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What is a negatively skewed distribution?

when most cases are on the high end of the distribution, but there are some relatively few
much lower cases on the left side

( low cases (“outliers”) skew the distribution to
the left )

<p><span>when most cases are on the high end of the distribution, but there are some relatively few</span><br><span>much lower cases on the left side</span></p><p><span>( low cases (“outliers”) skew the distribution to</span><br><span>the <strong><u>left </u></strong>)</span></p>
97
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Positively skewed distribution is skewed to the _______

right

98
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Negatively skewed distribution is skewed to the _______

left

99
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What is a bimodel/multimodal distribution?

the type of distributions where cases are concentrated not in one area but in two (bimodal distribution) or more (multimodal distribution)

<p><span> the type of distributions where cases are concentrated not in one area but in two (bimodal distribution) or more (multimodal distribution)</span></p>
100
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An example of a bimodal/multimodal distribution?

traffic; It tends to be higher at rush hour, both
in the morning (when people go to work) and afternoon (when people come back home).