Lecture06

Operationalising variables and bringing concepts to life

Author

Dr Gordon Wright

Published

14 November, 2022

Key topics today

The week ahead (week 6)

  • Personality & Individual Differences Essay Tutorial (Submission Fri, 25th Nov)
    • How and why does intelligence predict important life outcomes?
  • RASA and EC deadline for Critical Proposal (Fri, 18th Nov)
  • PsychSociety film number 2!
  • Strike days - 24th (Thu), 25th (Fri), 30th (Wed)
  • Labs - Online (and Offline) Data collection

Any Questions?

‘Operationalisation’ of variables

Operationalisation of variables requires a consideration of the reliability and validity of the method of operationalisation.

Operationalisation of variables also requires specification of the scale of measurement: nominal, ordinal, interval, or ratio.

Finally, operationalisation of variables can also specify details of the measurement procedure.

See Howitt and Cramer Chapter 3.3 (Box Research Example - Condon & Crano 1988)

Attitude similarity and interpersonal attraction

Their DV (consider pros and cons)

This person would like(dislike) me

This person would like(dislike) working with me in an experiment

The Student Room (question)

The Student Room (answer 1)

The Student Room (answer 2)

Let’s think about your forthcoming Personality essay

Two key concepts you’ll be thinking about and reading around…

  • Intelligence

  • important life outcomes

Hopefully, you will ask yourself…

How are these important and very tricky concepts

  • Defined

  • Measured

  • And brought to life in the lab!

Of great importance that you reflect on this for your MD too

How have you defined your variables of interest?

  • IVs and DVs

How have you measured or categorised your variables of interest?

  • e.g. Social Media use

  • Gender

  • Frequency or low/high extraversion

The research process

•Develop research aims 

•Specify research questions/hypotheses related to these aims

•Identify relevant constructs and concepts 

•Translate constructs and concepts into variables (i.e., a logical set of characteristics/features)

•Translate variables into measurements (i.e., the quantification of characteristics/features)

Quantitative Research

A systematic examination of relationships between variables

‘Variables’ are ‘translated’ concepts, constructs or phenomena

Types of Variable

Independent

  • Experimental - The variable I manipulate

  • Non-Experimental - Comparison groups

Dependent

  • The variable you measure, that you propose to be influenced by a manpulation of the IVs

Types of Measurement

Nominal/Categorical

  • Male/Female/…

  • Vegan, Vegetarian

  • Smoker/Non-Smoker

Types of Measurement

Ordinal

Numbers representing a rank position in a group

Not representative of an actual definite number/score/value - without information about the ‘gap’ between numbers

  • First, second, third

  • Tallest/Shortest

Types of Measurement

Interval

Numbers represent equal units giving information about the ‘gap’ between numbers

  • Temperature

  • Psychological Scales

Types of Measurement

Ratio

Interval measurements with an absolute zero, of equal units,

  • Weight

  • Length

  • Time/Reaction time*

Dani Navarro

A legend. Author of Learning Statistics with Jamovi/R

learnstatswithjamovi.com

Dani’s example:

• My age is 33 years.

• I do not like anchovies.

• My chromosomal gender is male.

• My self-identified gender is male*

*see footnote 2, page 14 Learning Statistics with Jamovi

Median Splits

Dangerzone!

We often suggest a median split to dichotomise a continuous variable, e.g. for the purposes of creating a 2 level IV.

It’s a useful exercise in calculating a ‘computed variable’ in SPSS or Jamovi

It is NOT best-practice usually.

It is a key learning outcome that you are able to perform a standardised set of analysis, specifically, the 2x2 ANOVA with any necessary assumption checks and post-hocs + plots

Think about this

Operationalisation, measurement and definitions impact…

Summary

You should think carefully about:

  • How you define your variables - this is probably a part of the introduction that students DON’T think about enough

  • How you measure or categorise your variables (IVs and DVs) - this is probably the single thing I look at first when peer-reviewing research!

  • How well your manipulation does what it claims to. Does you manipulation bring the thing it proposed to to life well?

Questions?

Lab activities

Qualtrics (99% of you will use this!)- Full Support in Tomorrow’s labs (5mins)

  • Log in to an account with your Goldsmiths ID!!

  • 10% of you will apply for the wrong type of account and be stuck for 2 weeks

Familiarise yourself with the Ethics Application process (10mins)

Consider the steps required to bring your study to life! (the rest)