Why not both? Using multiple measures to improve reliability in infant studies

Havron, Naomi

doi:10.1002/icd.2336

Cited by 8 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On top of providing a more comprehensive measure of complement understanding, this approach reduced the random errors contributed by different tasks and provided a more reliable composite measure of children’s complement understanding. In fact, the use of multiple measures has been advocated in other lines of developmental research (Havron, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…For instance, some children might be unable to utilize the principle in arithmetic problem solving even though they could identify the principle from worked examples (e.g., Canobi et al, 1998; Robinson et al, 2016; Siegler & Crowley, 1994). Plus, the use of multiple tasks would reduce random errors (Havron, 2022) and provide a more reliable measurement of children’s complement understanding, as well as its interrelation with computational skills.…”

Section: Ambiguity Of the Relationmentioning

confidence: 99%

See 1 more Smart Citation

The relation between complement understanding and computational skills: A random intercept cross-lagged panel model.

Yip¹,

Wong²,

Kwan³

2023

Developmental Psychology

View full text Add to dashboard Cite

Understanding of the complement principle has been proposed as closely related to computational skills, but few studies have investigated their interrelations. The present longitudinal study attempted to clarify the picture by examining their potential cross-lagged relation. Fourth graders (n = 221) in Hong Kong received 3 cognitive assessments at intervals of 6 months, consisting of multiple measures of complement understanding, a nonverbal intelligence test, and a computational skills measure. A random intercept cross-lagged panel model revealed that complement understanding significantly predicted future computational skills, but the reciprocal prediction was nonsignificant. The findings provide empirical evidence supporting the close relation between complement understanding and computational skills and call for future endeavors to examine the interrelations between computational skills and understanding of other arithmetic principles.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Ambiguity Of the Relationmentioning

confidence: 99%

The relation between complement understanding and computational skills: A random intercept cross-lagged panel model.

Yip¹,

Wong²,

Kwan³

2023

Developmental Psychology

View full text Add to dashboard Cite

show abstract

“…In other words, even with high measurement reliability, we cannot be certain that the measure indexes the desired effect of interest; in fact, by trying to maximise reliability of measures, we may end up undermining the validity of the measurement (Zettersten et al, 2022). Some of the solutions presented to improve the reliability and validity of infant research are to increase the number of trials, exclude low-quality data prior to analysis, utilise more sophisticated analyses (Byers-Heinlein et al, 2021), developing measurements collaboratively (Reinelt et al, 2022), using a greater variety of exemplars as stimuli (Visser et al, 2022;Zettersten et al, 2022) and using multiple outcome measures to measure the variable of interest (Havron, 2022;LoBue et al, 2020). However, there are issues with many of these solutions: for example, Zettersten and colleagues (2022) argue that with too many trials, one may actually measure children's willingness to perform the task rather than the actual construct of interest.…”

Section: Introductionmentioning

confidence: 99%

An examination of measures of young children's interest in natural object categories

Madhavan¹,

Malem²,

Ackermann³

et al. 2022

Preprint

View full text Add to dashboard Cite

Developmental research utilizes various different methodologies and measures to study the cognitive development of young children; however, the reliability and validity of such measures have been a critical issue in all areas of research practices. To address this problem, particularly in the area of research on infants’ interests, we examined the convergent validity of previously reported measures of children’s interests in natural object categories, as indexed by (1) parents’ estimation of their child’s interest in the categories, (2) extrinsic (overt choices in a task), (3) intrinsic (looking time toward objects), and (4) physiological (pupil dilation) responses to objects of different categories. Additionally, we also examined the divergent validity of all the aforementioned measures against the well-established and validated measure of parents’ estimations of children’s vocabulary knowledge. Children completed two tasks: (a) an eye-tracking task, where they were presented with images from a range of defined categories, which collected indices of looking time and pupillary activity; (b) a sticker-choice task, where they were asked to choose between two sticker-images from two different categories belonging to the range of categories assessed in the previous task. Parents completed two questionnaires to estimate (i) their child’s interests and (ii) vocabulary knowledge in the categories presented. We firstly analyzed the divergent validity between the two parent measures, and found a significant positive association between them. Our successive analyses showed no strong or significant associations between any of our measures, apart from a significant positive association between children’s looking time and parents’ estimations of children’s vocabulary knowledge. From our findings, we conclude that measures of infants’ interests thus far may index various components of interest in young children, and we also suggest next steps for further validation studies in infant research.

show abstract

“…In addition, the absence of multiple measures may also result in poor validity coefficients. Evidence suggests that using multiple measures to assess a construct increases the validity of a measure (Havron, 2022;Nassaji, 2020) as multiple measures provide different perspectives on the construct under investigation, eventually leading to an increase of validity. The present study employed PSS and WHO-5 Well-being Index as these measures are short and easy to understand and take relatively a short period of time to administer.…”

Section: Discussionmentioning

confidence: 99%

Validation of the suicidal ideation scale for Hijra (third gender) people in Bangladesh

Faruk,

Rahaman,

Anik

et al. 2023

F1000Res

View full text Add to dashboard Cite

Background: Hijra people, recognized as a third gender in Bangladesh, experience a variety of mental health problems, including suicidal ideation. However, there is no psychometric instrument to measure the suicidal ideation of hijra people. The aim of the study was to validate the suicidal ideation scale (SIS) for hijra people in Bangladesh. Methods: Standard validation processes were followed to develop the initial Bangla version of the scale. After the pretest, the final version of the scale was prepared. A cross-sectional survey with a combination of purposive and snowball sampling was conducted. A total of 314 participants were recruited from Dhaka. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted besides the analysis of reliability and validity. Results: The SIS was found to have a two-factor structure, collectively explaining 46.69% of the total variance during EFA. The measurement model was supported by a number of fit indices while conducting CFA. The higher Cronbach’s alpha (0.80) suggested internal consistency reliability. The scale demonstrated acceptable test-retest reliability (0.89). Convergent and divergent validity was tested with the World Health Organisation WHO-5 Well-being Index, and Perceived Stress Scale, respectively. Conclusions: The results suggested that the SIS is a psychometrically valid instrument to measure the suicidal ideation of hijra people in Bangladesh.

show abstract

Why not both? Using multiple measures to improve reliability in infant studies

Abstract: Havron, N. (in press) Why not both? Using multiple measures to improve reliability in infant studies.

Cited by 8 publications

References 25 publications

The relation between complement understanding and computational skills: A random intercept cross-lagged panel model.

The relation between complement understanding and computational skills: A random intercept cross-lagged panel model.

An examination of measures of young children's interest in natural object categories

Validation of the suicidal ideation scale for Hijra (third gender) people in Bangladesh

Contact Info

Product

Resources

About