About the Research

Laws of Attraction is a SEEK research study drawn from a comprehensive survey of nearly 6,000 job candidates in Australia.

The information and graphs provided in connection with the Laws of Attraction research study are drawn from the responses to that survey.

Research methodology:

  • SEEK commissioned GfK, an independent research agency, to conduct the Laws of Attraction research study
  • The respondents were sourced from the SEEK database of over 6 million individuals
  • Total sample size = 5,775 (see chart below for breakdown of total sample size by industry and diversity subsets)
  • Respondents were:
    • aged 18 or over
    • living in Australia
    • individuals who has indicated that they were looking to change jobs within the next 2 years
    • actively SEEKING or MONITORING the jobs market
    • looking for a job in 1 of 20 nominated industry classifications: Accounting, Banking/Financial Services, Call Centre & Customer Service, Community Services & Development, Construction, Education & Training, Engineering, Government & Defence, Healthcare & Medical, Hospitality & Tourism, Human Resources & Recruitment, Information & Communication Technology, Manufacturing, Transport & Logistics, Retail & Consumer Products, Mining, Resources & Energy, Retail & Consumer Products, Sales, Science & Technology, Data Science/Analytics, Digital
    • using online job boards
  • Respondents completed an online questionnaire which took approximately 15-20 minutes to complete
  • Respondents completed the survey between November 11 and December 8, 2016.
  • Upon completion of the survey respondents had a chance to win 1 of 3 $500 vouchers using a game of skill.

Sample size detail:

Please note: This data is not ‘nationally representative’ of the total population, as the data reflects those who are ‘in the market for a new job’ and not the ‘total population’ of Australia. This is because the sample is targeted to those who are actively seeking a job, or monitoring the job market and looking to change jobs within the next 2 years. The biggest impact, as to be expected, to this study is a greater proportion of 25-34 year olds (31% vs. 21% nat rep) and a smaller proportion of those aged 65 – 74 (1% vs. 12% of the population).

The industries chosen reflect a diverse range of blue (e.g. Construction, Manufacturing, Mining) and white (e.g. Government & Defence, Accounting, Banking & Financial Services) collar jobs, in order to be representative of the Australian Labor Force, and allow for specific differences to be seen across industries and groupings.

 

Total sample size: 5,775

INDUSTRY

SAMPLE SIZE (n=)

Accounting

280

Banking/Financial Services

296

Call Centre & Customer Service

256

Community Services & Development

354

Construction

209

Education & Training

349

Engineering

275

Government & Defence

295

Healthcare & Medical

385

Hospitality & Tourism

199

Human Resources & Recruitment

314

Information & Communication Technology

298

Manufacturing, Transport & Logistics

291

Marketing and Communications

293

Mining, Resources & Energy

310

Retail & Consumer Products

284

Sales

211

Science & Technology

269

Data Science/ Analytics

310

Digital

297

The survey also identified respondents’ demographic profile including but not limited to gender, age, location, job level, parental status, place of birth, languages spoken and disability (see chart below for breakdown of total sample size by diversity subsets).

DIVERSITY

CATEGORY

SAMPLE SIZE (n=)

Gender

Male

2,808

 

Female

2,967

Life stages

Gen Y Millennials (Under 34)

2,403

 

Generation X (35-54)

2,742

 

Baby boomers (55+)

630

Location

Metropolitan

4,460

 

Regional

1,315

Job level

Senior

1,508

 

Mid

2,615

 

Junior

1,652

Household

With Children

2,345

 

Without Children

3,430

Place of birth

Born in Australia

3,588

 

Born outside Australia and migrated

1,896

Languages

English only

4,059

 

Speak other languages at home

1,716

Disability

With disability

283

 

Without disability/Prefer not to say

5,281

Work type

Full time

3,706

 

  Part time   887

 

  Contract   1018

 

 

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