Introduction

Geographical subdivisions

Individuals

2

Introduction

Geographical subdivisions

Individuals

2-1

Introduction

2-2

IQ

Meaningful variables

Introduction

Election outcomes

Economic freedom

Religiosity

Crime

Education

Health

Income

2-3

Introduction

Levels of religiosity, crime, education, health, and income are themselves largely inter-correlated.

2-4

Introduction

Strong inter-correlations between aggregate-level variables.

Pesta  to hypothesize the existence of a “wellbeing nexus”.

2-5

Introduction

Rarely exist independently of aggregate-level variables

2-6

Introduction

Pesta et al. (2010) analyzed these inter-correlations

2-7

General mental ability (g)

g Nexus

Introduction

• Construct validity of the nexus

  • Convergent validity

  • Divergent validity 

2-8

Introduction

2-9

Introduction

Why chose google?

Self-report data

Clustering

2-10

Method

• Well-being

  • IQ

  • Religiosity

  • Crime

  • Education

  • Health

  • Income

3

Method

• Google Correlate algorithm

  • Identify terms that correspond to a trend across time

  • Identify terms that correspond for the hot terms

3-1

Method

100 terms that maximize the magnitude of a correlation

Multiplied by -1 in order to yield the top 100 terms

3-2

Method

Mean of zero and a standard deviation of one

Higher magnitude positive (negative) numbers

3-3

Method

Given that the Google algorithm selected

only those search terms highly correlated

3-4

Method

Three search terms per cluster

Each author went through all derived search terms and placed each into an appropriate category.

3-5

Method

Thuggish Ruggish Bone

3-6

Method

Lamium and Liatris

3-7

Method

It is important to note that not all search terms

3-8

Method

Irish phrases

3-9

Method

Composite scores for each cluster by state.

Analyze well-being variables for 50 U.S. states.

3-10

Results and Discussion

4

Results and Discussion

4-1

Results and Discussion

82 search terms that positively correlated

61 search terms that negatively correlated

4-2

Results and Discussion

82 search terms that positively correlated

61 search terms that negatively correlated

4-3

Results and Discussion

82 search terms that positively correlated

61 search terms that negatively correlated

4-4

Results and Discussion

• Food

• Reading

• House preservation

• Snow

4-5

• Health

• Lawn and garden

• Babies

• Games

Results and Discussion

Maintaining healthy lifestyles starting a family, and pursuing intellectual hobbies 

Healthy food choices

Caloric intake 

4-6

Results and Discussion

• Assanti rims

• Beauty

• Fighting

• Job seeking

4-7

• Hello Kitty products

• Social media

• Thuggish Ruggish Bone

Results and Discussion

Objective for resume

Become a registered nurse;  become a pharmacist

4-8

Results and Discussion

1. Home ownership, growing a family,
   and outdoor activities

2. On popular culture, shopping in general,
   and obtaining employment

3. Greater economic problems

4-9

Results and Discussion

4-10

Results and Discussion

 - Limitations and directions for future research

1. Only used Google search term trends

2. Not all residents use computers, and not all internet 　       searches are conducted with Google

3. Google search algorithm outputs only 200 search terms

5

Results and Discussion

 - Limitations and directions for future research

4. The correlations in Table 3

5. Authors inferred activity based on how often residents       within states searched.

6. Lack context

5-1

Comment

Thanks for listening

Additional Information