Low vs High Impact Pro-Environmental Behavior

Dec 15, 2023 · 5 min read

Exploratory analysing looking at different types of PEB (private vs. public) using a dataset from SONA Spring 2023. See DEEP CTN CFA for descriptives from this sample.

Using Recurring PEB Scale (Brick et al., 2019)

EFA of PEB

Item Correlations

Cronbach’s Alpha

## 
## Cronbach's alpha for the 'PEB' data-set
## 
## Items: 20
## Sample units: 341
## alpha: 0.704

Factors

## Parallel analysis suggests that the number of factors =  5  and the number of components =  NA

Scree plot suggest ~2-4 factors Parallel factor suggests 7 factors

2-Factor

(#tab:anytable)Two Factor Structure

item

PA1

PA2

Communality

Uniqueness

Complexity

Recycle private

0.88

3.841

0.423

1.464

Recycle public

0.671

3.841

0.663

1.536

Learn

3.841

0.543

1.996

Resusable Bottle

3.841

0.871

1.000

Reuse Bags

3.841

0.862

1.025

Save Water

3.841

0.788

1.894

Eat Local

3.841

0.872

1.761

Eat Organic

3.841

0.844

1.961

Effic Lightbulb

3.841

0.898

1.737

Avoid Car

3.841

0.942

1.453

Turn off Elec

3.841

0.950

1.996

Eat Home Grown

0.469

3.841

0.776

1.001

Talk Enviro

0.436

3.841

0.609

1.703

Compost

0.414

3.841

0.772

1.138

Politics

3.841

0.608

1.938

Eat Meat

3.841

0.929

1.392

Eat Dairy

3.841

0.942

1.457

Below 60mph

3.841

0.931

1.155

Plane personal

3.841

0.945

1.065

Aerosol

3.841

0.990

1.002

(#tab:anytable)Eigenvalues and Variance Explained for Rotated Factor Solution

Property

PA1

PA2

SS loadings

2.184

1.657

Proportion Var

0.109

0.083

Cumulative Var

0.109

0.192

Proportion Explained

0.569

0.431

Cumulative Proportion

0.569

1.000

3-Factor

(#tab:anytable)Three Factor Structure

item

PA1

PA3

PA2

Communality

Uniqueness

Complexity

Recycle private

0.682

4.718

0.514

1.798

Learn

0.598

4.718

0.530

1.176

Politics

0.51

4.718

0.614

1.302

Recycle public

0.505

4.718

0.702

1.958

Talk Enviro

0.486

4.718

0.614

1.484

Reuse Bags

0.433

4.718

0.837

1.107

Resusable Bottle

0.418

4.718

0.853

1.109

Save Water

0.404

4.718

0.786

1.145

Eat Organic

4.718

0.842

1.238

Effic Lightbulb

4.718

0.885

1.171

Avoid Car

4.718

0.941

1.671

Turn off Elec

4.718

0.947

1.993

Eat Home Grown

0.594

4.718

0.639

1.024

Compost

0.586

4.718

0.620

1.024

Plane personal

4.718

0.878

1.075

Below 60mph

4.718

0.888

1.014

Aerosol

4.718

0.937

1.451

Eat Local

4.718

0.846

2.260

Eat Meat

0.576

4.718

0.644

1.271

Eat Dairy

0.478

4.718

0.764

1.134

(#tab:anytable)Eigenvalues and Variance Explained for Rotated Factor Solution

Property

PA1

PA3

PA2

SS loadings

2.471

1.301

0.946

Proportion Var

0.124

0.065

0.047

Cumulative Var

0.124

0.189

0.236

Proportion Explained

0.524

0.276

0.200

Cumulative Proportion

0.524

0.800

1.000

4-Factor

(#tab:anytable)Four Factor Structure

item

PA1

PA4

PA3

PA2

Communality

Uniqueness

Complexity

Talk Enviro

0.764

5.516

0.480

1.057

Learn

0.754

5.516

0.431

1.003

Politics

0.644

5.516

0.557

1.011

Save Water

5.516

0.786

1.198

Eat Organic

5.516

0.844

2.275

Effic Lightbulb

5.516

0.885

2.514

Recycle private

0.769

5.516

0.502

1.403

Recycle public

0.653

5.516

0.675

1.323

Reuse Bags

5.516

0.774

1.257

Avoid Car

5.516

0.790

3.265

Resusable Bottle

5.516

0.853

1.893

Compost

0.625

5.516

0.587

1.034

Eat Home Grown

0.565

5.516

0.651

1.435

Below 60mph

0.42

5.516

0.813

1.363

Plane personal

5.516

0.880

1.240

Aerosol

5.516

0.939

1.473

Eat Local

5.516

0.849

2.845

Turn off Elec

5.516

0.940

1.983

Eat Meat

0.653

5.516

0.602

1.339

Eat Dairy

0.633

5.516

0.645

1.089

(#tab:anytable)Eigenvalues and Variance Explained for Rotated Factor Solution

Property

PA1

PA4

PA3

PA2

SS loadings

2.054

1.291

1.240

0.932

Proportion Var

0.103

0.065

0.062

0.047

Cumulative Var

0.103

0.167

0.229

0.276

Proportion Explained

0.372

0.234

0.225

0.169

Cumulative Proportion

0.372

0.606

0.831

1.000

5-Factor

(#tab:anytable)Five Factor Structure

item

PA1

PA4

PA3

PA2

PA5

Communality

Uniqueness

Complexity

Talk Enviro

0.749

6.02

0.484

1.033

Learn

0.736

6.02

0.431

1.019

Politics

0.638

6.02

0.533

1.114

Save Water

6.02

0.656

2.715

Eat Organic

6.02

0.840

2.718

Recycle private

0.764

6.02

0.497

1.255

Recycle public

0.632

6.02

0.676

1.251

Reuse Bags

6.02

0.772

1.710

Resusable Bottle

6.02

0.840

1.734

Effic Lightbulb

6.02

0.847

4.104

Compost

0.718

6.02

0.516

1.126

Eat Home Grown

0.498

6.02

0.667

1.952

Below 60mph

6.02

0.821

1.501

Avoid Car

6.02

0.798

3.188

Eat Local

6.02

0.846

2.575

Turn off Elec

6.02

0.934

1.392

Eat Meat

0.654

6.02

0.597

1.262

Eat Dairy

0.621

6.02

0.646

1.156

Plane personal

0.513

6.02

0.698

1.123

Aerosol

6.02

0.881

1.236

(#tab:anytable)Eigenvalues and Variance Explained for Rotated Factor Solution

Property

PA1

PA4

PA3

PA2

PA5

SS loadings

1.997

1.263

1.250

0.911

0.599

Proportion Var

0.100

0.063

0.062

0.046

0.030

Cumulative Var

0.100

0.163

0.226

0.271

0.301

Proportion Explained

0.332

0.210

0.208

0.151

0.099

Cumulative Proportion

0.332

0.542

0.749

0.901

1.000

Fit Indices

Fit

RMSR

TLI

RMSEA

BIC

cut off

<.08

>.95

<=.05 or <.08

lower is better

2 Factor

0.07

0.68

0.07

-506.84

3 Factor

0.05

0.75

0.06

-487.89

4 Factor

0.04

0.85

0.04

-480.78

5 Factor

0.04

0.87

0.04

-421.47

Four and Five factors have the best fit. Five does not add much to the model

Setting up categories based on the EFA

DEEP CTN & PEB

Correlations

SEM

lhs

op

rhs

est

se

z

pvalue

ci.lower

ci.upper

private4_z

~

deep_ctn_z

0.19

0.08

2.42

0.02

0.04

0.34

public_z

~

deep_ctn_z

0.31

0.07

4.40

0.00

0.17

0.44

public_z

~

emo_ctn_z

0.15

0.06

2.35

0.02

0.02

0.27

public_z

~

presc_ctn_z

0.16

0.06

2.60

0.01

0.04

0.29

private4_z

~~

public_z

0.14

0.04

3.22

0.00

0.06

0.23

deep_ctn_z

~~

exp_ctn_z

0.63

0.06

9.82

0.00

0.50

0.75

deep_ctn_z

~~

emo_ctn_z

0.62

0.06

9.79

0.00

0.50

0.75

deep_ctn_z

~~

presc_ctn_z

0.63

0.06

9.82

0.00

0.50

0.75

exp_ctn_z

~~

emo_ctn_z

0.54

0.06

8.79

0.00

0.42

0.66

exp_ctn_z

~~

presc_ctn_z

0.56

0.06

9.05

0.00

0.44

0.68

emo_ctn_z

~~

presc_ctn_z

0.57

0.06

9.11

0.00

0.44

0.69