2017
DOI: 10.1002/tea.21416
|View full text |Cite
|
Sign up to set email alerts
|

Development and validation of an instrument to assess student attitudes toward science across grades 5 through 10

Abstract: The aim of the present study is to enable future studies into students’ attitudes toward science, and related constructs, by developing and validating an instrument suitable for cross‐sectional designs. Following a thorough review of the literature it was determined that many extant instruments included design aspects that appeared to be limited in some way. The BRAINS (Behaviors, Related Attitudes, and Intentions toward Science) Survey was designed to address core criticisms that have been leveled against man… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
71
0
5

Year Published

2018
2018
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 68 publications
(82 citation statements)
references
References 108 publications
(179 reference statements)
3
71
0
5
Order By: Relevance
“…The qualitative (questionnaire) data enriched the quantitative (survey) results by triangulating numerical Likert responses of students' perceived relevancy of science across condition and median split category with qualitative self‐reports that showcase the preponderance of what students considered relevant within the science content among these groupings. Legitimation of our mixed‐methods design (Onwuegbuzie & Johnson, ) was achieved through parallel assessments of students' attitudes (both data sources measuring attitudes toward science), our large sample size relatively even across our groups (see Table 4), the use of published rubrics to code students' overall type of attitudes (Summers & Abd‐El‐Khalick, ), and the type of relevance they placed on the content (Wolter, Lundeberg, & Bergland, ).…”
Section: Methodsmentioning
confidence: 99%
“…The qualitative (questionnaire) data enriched the quantitative (survey) results by triangulating numerical Likert responses of students' perceived relevancy of science across condition and median split category with qualitative self‐reports that showcase the preponderance of what students considered relevant within the science content among these groupings. Legitimation of our mixed‐methods design (Onwuegbuzie & Johnson, ) was achieved through parallel assessments of students' attitudes (both data sources measuring attitudes toward science), our large sample size relatively even across our groups (see Table 4), the use of published rubrics to code students' overall type of attitudes (Summers & Abd‐El‐Khalick, ), and the type of relevance they placed on the content (Wolter, Lundeberg, & Bergland, ).…”
Section: Methodsmentioning
confidence: 99%
“… TRAPB theoretical model as measured by the BRAINS with construct definitions (Source: Adapted from Summers & Abd‐El‐Khalick, ) Abbreviation: BRAINS, Behaviors, Related Attitudes, and Intentions toward Science; TRAPB, theories of reasoned action and planned behavior [Color figure can be viewed at http://wileyonlinelibrary.com] …”
Section: Methodsmentioning
confidence: 99%
“…This process included item development and review by an expert review panel of an initial pool of items, which comprised items derived from several extant attitude‐toward‐science instruments, as well as items developed by the authors. Pilot administration was used to collect feedback about online delivery (Qualtrics®), and the final statistical validation of the instrument and its underlying structure were derived from a representative random sample of 1,291 students in Illinois (for more information see Summers & Abd‐El‐Khalick, ). The 30‐item finalized instrument model demonstrated a good fit with a Root Mean Square Error of Approximation (RMSEA) of 0.04, a Standardized Root Mean Square Residual (SRMSR) of 0.04, a comparative fit index (CFI) of 0.95, and a Tucker‐Lewis index (TLI) of 0.95.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A huge number of published studies try to explain the influence of various factors affecting interest in, and attitudes, intentions and actions toward particular STEM disciplines, school subjects and university courses, and consequently the selection or de‐selection of a professional career within these disciplines (e.g., Summers & Abd‐El‐Khalick, ). The factors can be broadly classified as gender, personality, structural variables, and curriculum variables (Trumper, ), the last of which falls within the scope of the present study.…”
Section: Introductionmentioning
confidence: 99%