W7: Longitudinal designs (structural equation modelling) Flashcards

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1
Q

Possible MCQ Question:

What is one statistical advanced method that we can use to test things longitudinally?

A

Structural equation modelling

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2
Q

Longitudinal designs are … (2)

A

Used to study changes across the life span by observing same participants at different points in time

It assess same variables at each timepoint

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3
Q

The length of the longitudinal design study can vary

A

Based on design or funds (longitudinal designs are expensive)

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4
Q

Longitudinal designs are often

A

survey-based (e.g., Likert scale questions)

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5
Q

Longitudinal designs prone to

A

many threats of internal validity (e.g., maturation)

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6
Q

Longitudinal designs require

A

Substantial resources and time to complete

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7
Q

Longitudinal design (issues)

What is time lag?

A

Distance between timepoints

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8
Q

Longitudinal design (issues)

Too much time lage can

A

causes issues

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9
Q

Longitudinal design (issues)

Issue with time lag - frequency

A

How frequent should we measure?

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10
Q

Longitudinal designs (issues) - Attrition (3)

A
  • Participants dropout over time
    • Loss of interest
    • Losing contact with researcher (e.g pps changing phone number, home address)
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11
Q

Longitudinal design (issues) - Attrition - how do we address this?

A

Money for the participants to engage in the study/Amazon vouchers

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12
Q

Longitudinal designs (issues) - threats to the internal validity of long study due to - (3)

A
  1. Maturation effects (naturally occurring process)
  2. Historical effects (events that are outside of our control) - e.g., COVID-19
  3. Practice effect (improvement on test due to repeated experience)
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13
Q

How do we test longitudinal studies? (repeated-measure design)

A

Repeated measures t-test and ANOVA

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14
Q

More complex longitudinal design requires more robust statistics (than repeated measure t-test and ANOVA)

such as… (3)

A
  1. Mediator/mechanism (3rd var)
  2. Understand complex pathways to poor health
  3. Enter… Structural equation modelling!
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15
Q

Structural equation modelling - Most longitudinal studies utilise survey designs (7)

A

Scales which include several items

Rated using Likert scales

  • 1 (Strongly disagree)
  • 2 (Disagree)
  • 3 (Neither agree or disagree)
  • 4 (Agree)
  • 5 (Strongly agree)
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16
Q

Structural equation modelling - what are construct?s

A

Hypothetical variable we are trying to capture

17
Q

Structural equation modelling

Construct limits (2)

A

Almost impossible to actually measure directly

Assess variables which estimate the construct

18
Q

Structural equation modelling -=

We can capture the constructs through… (4)

A

Self-report

Behavioral

Physiological

Etc

19
Q

Structural equation modelling - construct with its operational definitions

A
  • E.g., may measure aggression (construct) through behavioural observations (e.,g operational definition)
20
Q

Structural equation model tests

A

“fit” of each item on construct

21
Q

Structural equation model estimates a

A

“weight” for each path - how much each item predicts the construct

22
Q

Structual equation model interprets the weight as a

A

standardized regression coefficient (beta) or correlation

23
Q

Structural equation modelling high and low weights (3)

A

Higher weights = good fit!

Lower weights = poor fit!

The better the fit, the more predictive that item is of the construct!

24
Q

Structural equation modeling

A
  • 3 best predictors of anxiety is 1, 3 and 5 (green)
  • Red is maybe not best predictor of generalised anxiety - tells us maybe not measuring anxiety
25
Q

Structural equation modelling

Using constructs to predict .. constructs (2)

A

Once we have items that nicely fit onto a construct, we can then use it to predict other constructs with good fitting items

Can create pathways based on evidence

26
Q

Example of pathways (3) with different constructs

A
27
Q

Structural equation modelling

From theory to testing… (2)

A

Structural equation modelling often used to test theories

Provides evidence on whether theories are accurate or need revision (whether pathway someone theorised exists or not)

28
Q

Racism and health

Gibbons et al. (2014) - PROCEDURE (3)

A

Longitudinal study with 680 female Black Americans

Assessed 4 times over several years

Used structural equational modelling!

29
Q

Racism and health

Gibbons (2014) - Measures (5)

A
  1. Perceived discrimination
  2. Internalizing factors (depression, anxiety, distress)
  3. Externalizing factors (hostility, anger)
  4. Physical health
  5. Substance use (alcohol)
30
Q

Gibbon et al. (2014)

Structural equation modelling (3)

A

Use of evidence and theory to form a structural equation model

Evidence shows that..

Internalizing (distress) predictive of poor physical health

Externalizing (hostility) predictive of greater alcohol use

31
Q

Gibbon et al. (2014)

If… (2)

A

If racism leads to distress (e.g., depression, anxiety)… - makes them have poor physical health

If racism leads to hostility and anger…leads to greater alcohol use

32
Q

Gibbons et al. (2014) findings (4)

A

Racism leads to distress which predicts poorer physical health

However… while racism promotes more hostility, this does not necessarily lead to greater rates of substance use!

  • Contrary to the proposed model
  • Not good enough fit!
33
Q

Gibbons et al. (2014) - Limitations

A

Men are on average more hostile and also tend to have more problematic alcohol use than women

Could explain why the pathway of Time point 3 of hostility between Time 4 problematic drinking use