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scale and construction, interviews and observation in developmental psychological research

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The lectures on scale construction and evaluation, as well as interviews and observations used in child psychology, provide an in-depth exploration of essential methodologies for assessing children's psychological functioning, behaviors, and experiences. These lectures cover the principles of scale development, including item generation, reliability assessment, and validity testing, emphasizing the importance of creating psychometrically sound measures tailored to children's developmental stages and cultural backgrounds. Furthermore, the lectures delve into the nuances of conducting interviews and observations as qualitative research methods, highlighting their utility in capturing rich, contextualized data on children's thoughts, emotions, and behaviors. Special attention is given to ethical considerations, rapport building, and techniques for minimizing biases when interacting with child participants. By offering a comprehensive understanding of these research tools, the lectures empower students to design and implement rigorous assessments that contribute to our understanding of child development and inform evidence-based interventions and practices in child psychology.

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February 11, 2024
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Dr ross vanderwert
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Lecture 5: Scale construction and evaluation
Tools- measurement instruments
Design- format ( longitudinal, cross-sectional, consider variables)
*Use lectures as guidance for critical review of studies
Scales:
- Assessment
- Parent report
- Cross-informant comparisons
- Scale construction
Goals of assessment:
 To identify risk factors ( developmentally important characteristics in a target
population) or needs
 To identify individuals on basis of those risk factors




Interested in developmental trajectories of infant siblings – already diagnosed with
ASD.
- Risk factor; genetic component to autism
- Smaller group to study
- Landa et al evaluated whether developmental trajectories were at risk group
to define
- Used Mullen scales of early learning ( administered by professionals that
follow scripts which cover different domains of development within cognitive,
motor-language processing )
- Mullen developed to be appropriate for a wide age range

, - Identify four different classes of developmental trajectories
- Two groups decrease across observations in their capacity compared to the
age score expected
- The study was able to identify those specific to language delay
Another exam plan e of the assessment tool
- Teri et al. Neonatal behavioural developmental scale – measures capabilities
of infants right after they are born, indefinity those who are at risk based on
their score nbas- individual focused. Nbas used as a screening tool as a
simple assessment to decide whether to pursue further
assessment/evaluation of health.
Required for assessment:
- Range of content (good example – Mullen scale)
- Standardization ( e.g., nbas score – representing infants’ capabilities )
- Flexibility ( required for different situations – infant not able to perform )
- Concurrent and predictive validity ( should fit with other data with infants,
infants born pre-term have lower nbas scores than infants born in expected
time- concurrent and predictive )

Assessment :
- Researchers develop questionnaires, checklists and inventories that relies on
indirect observations reported by parents/teachers and children
- Can evaluate qs, checklists and inventories by same criteria as professionally
administered assessment tools
- important difference is that with questionnaires, checklists, and inventories,
we want to pay closer attention to who is reporting what




Parent report:

, Practitioners have limited time with a Parents may be unreliable
child, whereas parents are with their observers( not consistent)
child for a longer time within different Parent reports may add systema1c
contexts. The parent report is valid in errors based on biases the parents
terms of the quantity and quality of have about their children
observations. Exclusive reliance on parent reports
may contribute shared method variance
to a study examining rela1ons between
variables

Shared method variance ( using one
data to explore other components=
individual characteristics)

Seifer, R. (2006). Who should collect
our data: parents or trained observers?
In D. M. Teti (Ed.), Handbook of
Research Methods in Developmental
Science (Chapter 7). Oxford: Blackwell.




Childs’ emotionality and regulation across time.
- Decrease with emotionality and increase with regulation across time.
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