Interest Fit Beyond the RIASEC: The Comprehensive Assessment of Basic Interests—O*NET (CABIN-NET)

May combine two claims.

RIASEC categories effectively capture general occupational themes, but their breadth obscures meaningful variability across underlying basic interests, which are more refined interest scales.

“Although the RIASEC categories effectively capture general occupational themes, their breadth obscures meaningful variability across underlying basic interests, which are more refined interest scales.”

• cites Chu et al., 2022 sourceSupported

May combine two claims.

Interests provide the direction and motivation through which individuals apply their intellect to accumulate knowledge, which in turn strengthens their ability to excel in specific domains.

“Interests provide the direction and motivation through which individuals apply their intellect to accumulate knowledge, which in turn strengthens their ability to excel in specific domains (Ackerman, 1996;Hyland et al., 2022;Nye et al., 2021).”

• cites Ackerman, 1996 sourceNot checked — no full text of the source
• cites Hyland et al., 2022 sourceSupported
• cites Nye et al., 2021 sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

The data used in this study came from the same data collection project as data used in Liu et al. (2024).

“The data used in this study came from the same data collection project as data used in Liu et al. (2024), where the CABIN-NET is used to measure vocational interests.”

• cites Liu et al. (2024) sourceCould not verify

  The available Abstract (page not given) describes three studies and their fit assessments but does not identify a shared data-collection project with Liu et al. (2024). Searches for that project and for CABIN-NET found no relevant passage in our copy. (LLM, conf=0.72)

  Experimental — accuracy not yet measured

Probably not a substantial claim: may not pass S3 (load-bearing).

The CABIN-NET is used to measure vocational interests in Liu et al. (2024).

“The data used in this study came from the same data collection project as data used in Liu et al. (2024), where the CABIN-NET is used to measure vocational interests.”

• cites Liu et al. (2024) sourcePartly supported

  The Abstract (no page given) says Liu and colleagues evaluated assessments measuring vocational interests. Our copy does not name CABIN-NET, establish that it was the interest measure used, or verify the claim that the citing study drew on the same data-collection project. The repository citation lists this paper as published in 2025, rather than 2024. (LLM, conf=0.76)

  Experimental — accuracy not yet measured

Classified as probably not a substantial claim. May combine two claims.

The CABIN-NET assesses 20 basic interests that each is organized under its most closely connected RIASEC types, forming a hierarchical representation.

“We denote this freely available measure as the CABIN-NET, a measure that assesses 20 basic interests that each is organized under its most closely connected RIASEC types, forming a hierarchical representation that helps users coherently interpret their two levels of interest results.”

May combine two claims.

The CABIN-NET is a 60-item measure that measures 20 basic interest scales organized under RIASEC domains.

“resulting in the 60-item CABIN-NET that measures 20 basic interest scales organized under RIASEC domains.”

May combine two claims.

The CABIN-NET consists of 47 original CABIN items, 8 CABIN items with slight wording changes, and 5 non-CABIN items.

“After the item reduction process, the CABIN-NET consisted of 47 original CABIN items, 8 CABIN items with slight wording changes, and 5 non-CABIN items that were either adapted from an existing RIASEC inventory (Armstrong et al., 2008) or written by the authors.”

• cites Armstrong et al., 2008 sourceNot checked — no full text of the source

May combine two claims. The quote only partly states this claim.

1544 self-reported responses were successfully classified into O*NET occupations reflecting participants' current and ideal jobs, reflecting 330 unique occupations.

“In total, 1544 self-reported responses were successfully classified into O*NET occupations reflecting participants' current and ideal jobs.”

May combine two claims.

Across all 20 basic interest factors, the average standardized item loading was .81, ranging from .62 to .94.

“Across all 20 basic interest factors, the average standardized item loading was .81,ranging from .62 to .94.”

May combine two claims.

Average profile correlations between participants' RIASEC scores and their current occupations (r = .13, SD = .43) and ideal occupations (r = .26, SD = .43) were both positive.

“Similarly, the average profile correlations between participants' RIASEC scores and their current occupations (r = .13,SD = .43)and ideal occupations (r = .26,SD = .43)were both positive.”

May combine two claims.

Average profile correlations between participants' basic interest scores and their current occupations (r = .15, SD = .28) and ideal occupations (r = .20, SD = .26) were both positive.

“Our results showed that the average profile correlations between participants' basic interest scores and their current occupations (r = .15,SD = .28)and ideal occupations (r = .20,SD = .26)were both positive”

May combine two claims.

The 80-item pool was evaluated in Study 1 using psychometric analyses and conceptual considerations, resulting in the 60-item CABIN-NET that measures 20 basic interests with 3 items each.

“This 80-item pool was evaluated in Study 1 using psychometric analyses and conceptual considerations, resulting in the 60-item CABIN-NET (i.e., the Comprehensive Assessment of Basic Interests-O*NET) that measures 20 basic interests with 3 items each.”

May combine two claims.

For Sample 2, alphas for RIASEC scales ranged from α = .84 to α = .90, and test-retest reliabilities ranged from .70 to .79.

“Alphas for RIASEC scales ranged from α = .84(Social) to α = .90(Realistic, Artistic), and test-retest reliabilities ranged from .70 (Social) to .79 (Artistic).”

May combine two claims.

RIASEC interest fit was positively correlated with career choice satisfaction (r = .18), job satisfaction (r = .15), perceived person-occupation fit (r = .14), perceived need-supply fit (r = .17), and perceived demands-abilities fit (r = .09).

“RIASEC interest fit was positively correlated with career choice satisfaction (r = .18),job satisfaction (r = .15),perceived person-occupation fit (r = .14),perceived need-supply fit (r = .17),and perceived demandsabilities fit (r = .09).”

May combine two claims.

Basic interest fit was positively related to career choice satisfaction (r = .30), job satisfaction (r = .27), perceived person-occupation fit (r = .24), perceived need-supply fit (r = .30), and perceived demands-abilities fit (r = .23).

“Basic interest fit was positively related to career choice satisfaction (r = .30),job satisfaction (r = .27),perceived person-occupation fit (r = .24),perceived need-supply fit (r = .30),and perceived demands-abilities fit (r = .23).”

May combine two claims.

For both current and ideal occupations, the average corresponding basic interest-knowledge correlation is significantly larger than the average non-corresponding correlations (current: t(19) = 12.02, p < .05; ideal: t(19) = 10.52, p < .05).

“The t test results suggested that for both current and ideal occupations, the average corresponding correlation is significantly larger than the average non-corresponding correlations (current: t(19) = 12.02, p < .05;ideal: t(19) = 10.52,p < .05).”

May combine two claims.

For Sample 3, Cronbach alphas for basic interest scales ranged from α = .76 to α = .84, and test-retest reliabilities ranged from .59 to .80.

“For Sample 3, Cronbach alphas for basic interest scales ranged from α = .76(Customer Service, Design) to α = .84(Arts), and test-retest reliabilities ranged from .59 (Teaching) to .80 (Writing).”

May combine two claims.

For Study 2, RIASEC fit was positively related to career choice satisfaction (r = .13), job satisfaction (r = .03), perceived P-O fit (r = .08), perceived N-S fit (r = .04), and perceived D-A fit (r = .02).

“For the university graduate sample (Study 2), RIASEC fit was positively related to career choice satisfaction (r = .13),with weaker results for job satisfaction (r = .03),perceived P-O fit (r = .08),perceived N-S fit (r = .04),and perceived D-A fit (r = .02).”

May combine two claims.

For Study 3, RIASEC interest fit was positively related to career choice satisfaction (r = .21), job satisfaction (r = .21), perceived P-O fit (r = .16), perceived N-S fit (r = .21), and perceived D-A fit (r = .22).

“Results of community graduate sample (Study 3) showed stronger effect sizes in comparison.RIASEC interest fit was positively related to all measured career outcomes-career choice satisfaction (r = .21),job satisfaction (r = .21),perceived P-O fit (r = .16),perceived N-S fit (r = .21),and perceived D-A fit (r = .22).”

May combine two claims.

For Sample 3, Cronbach alphas for RIASEC domains ranged from α = .85 to α = .90, and test-retest reliabilities ranged from .69 to .81.

“Cronbach alphas for RIASEC domains ranged from α = .85(Investigative) to α = .90(Realistic, Artistic), and test-retest reliabilities ranged from .69 (Conventional) to .81 (Artistic).”

May combine two claims.

Basic interest fit was positively related to career choice satisfaction (r = .23/.30), job satisfaction (r = .22/.30), perceived person-occupation fit (r = .22/.17), perceived need-supply fit (r = .20/.28), and perceived demands-abilities fit (r = .09/.28).

“Person-occupation basic interest fit was positively related to career choice satisfaction (r = .23/.30), job satisfaction (r = .22/.30), perceived person-occupation (P-O) fit (r = .22/.17), perceived need-supply (N-S) fit (r = .20/.28), and perceived demands-abilities (D-A) fit (r = .09/.28).”

May combine two claims.

For Sample 2, alphas for basic interest scales ranged from α = .75 to α = .91, and test-retest reliabilities ranged from .62 to .80.

“For Sample 2, alphas for basic interest scales ranged from α = .75(Customer Service) to α = .91(Writing), and test-retest reliabilities ranged from .62 (Teaching) to .80 (Writing).”

The quote only partly states this claim.

Average item loadings on unidimensional basic interest scales from CFA models were acceptable across Studies 1-3.

“Table 3 . Average item loadings on unidimensional basic Interest scales from CFA models.”

May combine two claims.

Most of the 20 basic interest scales showed high internal consistency, with the Design scale having the lowest but still adequate alpha level for a three-item scale across samples (α = .76-.77).

“Most of the 20 basic interest scales showed high internal consistency, with the Design scale having the lowest but still adequate alpha level for a three-item scale across samples (α = .76e .77).”

Classified as probably not a substantial claim. May combine two claims.

The CABIN-NET is a public domain inventory with 26 unique connections to O*NET.

“As a public domain inventory with 26 unique connections to O*NET, the CABIN-NET provides two ways of assessing interest fit with occupations at different specificity levels.”

May combine two claims.

The BIS has one scale for Design and Visual Arts, but CABIN-NET separates the two to reflect unique knowledge requirements aligned with each.

“On the other hand, the BIS has one scale for Design and Visual Arts, but CABIN-NET separates the two to reflect unique knowledge requirements aligned with each.”

May combine two claims.

Basic interests showed convergent correlations with current and ideal occupations and divergent correlations near zero.

“Table 6 . Convergent and discriminant correlations with current and ideal occupations.”

Probably not a substantial claim: may not pass S3 (load-bearing).

A few variables showed negative residual variance during initial model estimation.

“However, since our sample size is relatively limited for these complex models, a few variables showed negative residual variance during initial model estimation.”

May combine two claims.

Military basic interest can be found in the BIS but not the CABIN-NET, reflecting the lack of Military occupations on the O*NET.

“For example, Military basic interest can be found in the BIS but not the CABIN-NET, reflecting the lack of Military occupations on the O*NET.”

Classified as probably not a substantial claim.

The CABIN-NET measures interest fit by connecting basic interests with job knowledge variables in the O*NET.

“We note that the CABIN-NET measures interest fit by connecting basic interests with job knowledge variables in the O*NET.”

• AssumptionRests on an assumption: The O*NET knowledge variables provide a valid basis for assessing interest fit with occupations.

May combine two claims.

The O*NET database provides job incumbent ratings on the set of knowledge requirements for each occupation, which can be linked to basic interest scales.

“The O*NET database provides job incumbent ratings on the set of knowledge requirements for each occupation, which can be linked to basic interest scales (e.g., Mechanical knowledge and Mechanics interest).”

May combine two claims.

The CABIN-NET provides a short, reliable measure of both basic interests and RIASEC interests, offering two ways of assessing person-occupation fit and balancing bandwidth and fidelity.

“Overall, the CABIN-NET provides a short, reliable measure of both basic interests and RIASEC interests, offering two ways of assessing personoccupation fit and balancing bandwidth and fidelity.”

• AssumptionRests on an assumption: The CABIN-NET's 60 items can be completed in approximately 10 minutes.

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Decades of research have supported the psychometric reliability of RIASEC interest scales and their criterion-related validity for predicting important career outcomes.

“Decades of research have supported the psychometric reliability of RIASEC interest scales, and their criterion-related validity for predicting important career outcomes (Nye et al., 2021;Rounds & Su, 2014;Su, 2020).”

• cites Nye et al., 2021 sourceNot checked — no full text of the source
• cites Rounds & Su, 2014 sourceNot checked — no full text of the source
• cites Su, 2020Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

May combine two claims.

Studies 2 and 3 collected reliability and validity evidence using longitudinal samples of graduates from four-year universities (N = 816) and community colleges (N = 560).

“In Studies 2 and 3, we collected extensive reliability and validity evidence using longitudinal samples of graduates from four-year universities (N = 816) and community colleges (N = 560).”

May combine two claims.

Assessing more specific interest dimensions can better inform the assessment of person-environment fit and provide more flexibility for describing specific jobs and fields of study.

“Most notably, assessing more specific interest dimensions can better inform the assessment of person-environment (P-E) fit and provide more flexibility for describing specific jobs and fields of study (e.g., Armstrong et al., 2004;Ralston et al., 2004;Rounds, 1995).”

• cites Armstrong et al., 2004 sourceNot checked — no full text of the source
• cites Ralston et al., 2004Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites Rounds, 1995Not checked — no full text of the source

May combine two claims.

CABIN-NET is a reliable assessment of both basic and RIASEC interests.

“Together, these results indicate that the CABIN-NET is a reliable assessment of both basic and RIASEC interests.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.

Four participants were removed due to careless responding, leaving a final sample of 768 participants.

“Of the full sample, four participants were removed due to careless responding.”

May combine two claims.

When people work in occupations that better fit their interests, they acquire higher levels of relevant job knowledge and show better job performance.

“when people work in occupations that better fit their interests, they acquire higher levels of relevant job knowledge and show better job performance (Van Iddekinge et al., 2011).”

• cites Van Iddekinge et al., 2011Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

May combine two claims.

The CABIN model contains 41 basic interest scales organized under eight general interest domains: Health Science, Creative Expression, Technology, People, Organization, Influence, Nature, and Things.

“The CABIN model contains 41 basic interest scales that are organized under eight general interest domains: Health Science, Creative Expression, Technology, People, Organization, Influence, Nature, and Things (i.e., the SETPOINT model).”

• cites Su et al., 2019Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

May combine two claims.

Overall, results support CABIN-NET's criterion-related validity and indicate participants who showed better fit with their current occupation tended to report higher subjective career outcomes, especially when fit was measured using basic interests.

“Overall, these results support the CABIN-NET's criterion-related validity and indicate that participants who showed better fit with their current occupation tended to report higher subjective career outcomes, especially when fit was measured using basic interests.”

Classified as probably not a substantial claim. May combine two claims.

The O*NET Interest Profiler assesses users' RIASEC interests, then calculates person-occupation profile correlations for each O*NET occupation as indices of interest fit.

“The O*NET Interest Profiler assesses users' RIASEC interests, then calculates person-occupation profile correlations, one for each of the O*NET occupations, as indices of interest fit.”

• cites Rounds et al., 2021Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

May combine two claims.

Despite some variation between studies, results generally converged with those in Study 1, and basic interest fit had stronger predictive power for participants' subjective career outcomes, which supports the CABIN-NET's connection between basic interests and O*NET knowledge variables for helping match people to careers in which they will be more satisfied.

“Despite some variation between studies, these results generally converged with those in Study 1. Basic interest fit had stronger predictive power for participants' subjective career outcomes, which supports the CABIN-NET's connection between basic interests and O*NET knowledge variables for helping match people to careers in which they will be more satisfied.”

May combine two claims.

The CABIN-NET addresses the tension between bandwidth and fidelity by simultaneously measuring basic interests that organize under the RIASEC structure, making it an efficient yet powerful tool for measuring a wide range of interest dimensions.

“The CABIN-NET addresses this tension by simultaneously measuring basic interests that organizes under the RIASEC structure, making it an efficient yet powerful tool for measuring a wide range of interest dimensions.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The Cable and DeRue (2002) fit perception measure was used to assess person-organization fit, needs-supplies fit, and demands-abilities fit, with alphas .95, .92, and .93.

“The Cable and DeRue (2002) fit perception measure was used to assess three different types of perceived fit: person-organization fit, needs-supplies fit, and demands-abilities fit.”

• cites Cable and DeRue (2002) sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

The O*NET database includes a wide array of characteristics describing 923 occupations that cover the US workforce.

“The Occupational Information Network (O*NET) database is maintained and updated by the U.S. Department of Labor and includes a wide array of characteristics describing 923 occupations that cover the US workforce.”

• cites National Center for O*NET Development, 2025Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

Five items adapted from the Academic Major Satisfaction Scale by Nauta (2007) measured career choice satisfaction with alpha = .92.

“Five items were adapted from the Academic Major Satisfaction Scale (AMSS) by Nauta (2007) to measure satisfaction with one's current career choice (α = .92).”

• cites Nauta (2007) sourceNot checked — no full text of the source

Classified as probably not a substantial claim. May combine two claims.

It can be cumbersome to comprehensively assess 41 CABIN basic interest dimensions, which also cannot be easily summarized with the RIASEC model.

“Yet, on the other hand, it can be cumbersome to comprehensively assess 41 CABIN basic interest dimensions, which also cannot be easily summarized with the RIASEC model.”

May combine two claims.

CABIN-NET's basic interests and RIASEC scales both showed high levels of convergent and discriminant validity with respect to occupational knowledge and interest ratings for participants' current and ideal occupations.

“Thus, the CABIN-NET's basic interests and RIASEC scales both showed high levels of convergent and discriminant validity with respect to occupational knowledge and interest ratings for participants' current and ideal occupations.”

Classified as probably not a substantial claim. May combine two claims.

Job titles were coded independently by two undergraduate research assistants, double-checked and revised by a doctoral student, and a second doctoral student examined the coding with overall agreement over 98%.

“Job titles were coded independently by two undergraduate research assistants, and the results were double-checked and revised by a doctoral student.”

May combine two claims.

Interest and knowledge are closely connected in the process of person-environment fit, and both domains are included as important worker characteristics on the O*NET.

“Thus, interest and knowledge are closely connected in the process of personenvironment fit, and both domains are included as important worker characteristics on the O*NET.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The updated five-item version of Brayfield and Rothe's (1951) Index of Job Satisfaction has been found reliable in past literature and is widely used in job satisfaction research.

“This shortened version has been found to be reliable in past literature and it is widely used in job satisfaction research (e.g., Judge et al., 2000).”

• cites Brayfield and Rothe (1951) sourceNot checked — no full text of the source
• cites Judge et al., 2000 sourceNot checked — no full text of the source

Probably not a substantial claim: may not pass S3 (load-bearing).

O*NET data comprise worker characteristics, worker requirements, and experience requirements rated by job incumbents, occupational experts, or occupational analysts.

“For each occupation, O*NET data comprise a range of worker characteristics, worker requirements, and experience requirements that are variously rated by job incumbents, occupational experts, or occupational analysts (National Center for O*NET Development, 2025).”

• cites National Center for O*NET Development, 2025Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

May combine two claims.

Basic interests are more fine-grained than RIASEC interests and better capture individuals' complex interest patterns.

“In comparison to general occupational domains (i.e., RIASEC interests), basic interests are more fine-grained and better capture individuals' complex interest patterns.”

• cites Campbell et al., 1968 sourceNot checked — no full text of the source
• cites Clarke, 1961Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites Su et al., 2019Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The final Study 1 sample consisted of 768 participants (49.9% female, 48.9% male), with an average age of 45.8 years (SD = 16.1).

“The final sample consisted of 768 participants (49.9% female, 48.9% male), with an average age of 45.8 years (SD = 16.1).”

May combine two claims.

Results from CFA and ESEM models provided support for the item-level factor structure of CABIN-NET basic interest scales, as well as organization of basic interest scales under RIASEC domains.

“Overall, results from CFA and ESEM models provided support for the item-level factor structure of CABIN-NET basic interest scales, as well as our organization of basic interest scales under RIASEC domains.”

Classified as probably not a substantial claim.

The O*NET database provides ratings on a set of knowledge requirements for each occupation, where knowledge is defined as general categories of facts and principles necessary to complete occupational tasks.

“The O*NET database provides ratings on a set of knowledge requirements for each occupation, where knowledge is defined as general categories of facts and principles that are necessary to complete occupational tasks (Costanza et al., 1999).”

• cites Costanza et al., 1999 sourceNot checked — no full text of the source

May combine two claims.

The measure development process collected an extensive amount of data from three distinct samples, which together were highly diverse in terms of participants' educational backgrounds, ages, races/ethnicities, and genders.

“Our measure development process collected an extensive amount of data from three distinct samples, which together were highly diverse in terms of participants' educational backgrounds, ages, races/ethnicities, and genders.”

Classified as probably not a substantial claim.

The CABIN-NET's hierarchical representation primarily serves to provide users with further insights of their interests beyond the RIASEC.

“While each CABIN-NET basic interest scale is carefully selected to cover a core aspect of its most closely associated RIASEC type, this hierarchical representation primarily serves to provide users with further insights of their interests beyond the RIASEC but does not cover the broad RIASEC domains comprehensively.”

Probably not a substantial claim: may not pass S3 (load-bearing).

CABIN-NET's organization of basic interest under RIASEC types shares the same spirit as the Strong Basic Interest Scales (BIS).

“CABIN-NET's organization of basic interest under RIASEC types share the same spirit as the Strong Basic Interest Scales (BIS; Donnay et al., 2004).”

• cites Donnay et al., 2004Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Classified as probably not a substantial claim.

The CABIN-NET captures a wide variety of interests important in the current and future labor market.

“Overall, the CABIN-NET is an efficient and powerful interest assessment that captures a wide variety of interests important in the current and future labor market and can usefully be incorporated into career counseling, college major exploration, and other research and applied settings.”

May combine two claims.

Students generally prefer educational environments that fit their interests, and they tend to persist longer and perform better in fields of study that interest them.

“Like employees working in occupations, students generally prefer educational environments that fit their interests (Le et al., 2014), and they tend to persist longer and perform better in fields of study that interest them (Allen & Robbins, 2010;Nye et al., 2021;Tracey & Robbins, 2006).”

• cites Le et al., 2014Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

• cites Allen & Robbins, 2010 sourceNot checked — no full text of the source
• cites Nye et al., 2021 sourceNot checked — no full text of the source

Classified as probably not a substantial claim.

The CABIN-NET's linkage of basic interest scales to knowledge variables means that interest results can easily be cross-walked with educational programs.

“The CABIN-NET's linkage of basic interest scales to knowledge variables means that interest results can easily be cross-walked with educational programs.”

May combine two claims.

Structural analysis gave support to the grouping of CABIN-NET scales under RIASEC domains, enabling users to assess two levels of person-occupation fit.

“Structural analysis gave support to the grouping of CABIN-NET scales under RIASEC domains, enabling users to assess two levels of person-occupation fit.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Due to space limitations in the survey, the authors were not able to include an additional established interest inventory that might help assess convergent and discriminant validity evidence.

“First, due to space limitations in our survey, we were not able to include an additional established interest inventory that might help assess convergent and discriminant validity evidence.”

Probably not a substantial claim: may not pass S3 (load-bearing).

Each CABIN-NET basic interest scale is selected to cover a core aspect of its most closely associated RIASEC type.

“While each CABIN-NET basic interest scale is carefully selected to cover a core aspect of its most closely associated RIASEC type, this hierarchical representation primarily serves to provide users with further insights of their interests beyond the RIASEC but does not cover the broad RIASEC domains comprehensively.”

May combine two claims.

One of the longitudinal samples focused on graduates from community colleges, a population that is underrepresented in career development research and often overlooked in the development of interest inventories.

“Notably, one of these longitudinal samples focused on graduates from community colleges, a population that is underrepresented in career development research and often overlooked in the development of interest inventories (Gregor et al., 2020).”

• cites Gregor et al., 2020Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Classified as probably not a substantial claim.

As the CABIN-NET is built to connect with existing knowledge scales, its contribution can extend beyond predicting career-related outcomes into educational planning.

“As the CABIN-NET is built to connect with existing knowledge scales, its contribution can also extend beyond predicting career-related outcomes into another stage of career development: educational planning.”

Probably not a substantial claim: may not pass S3 (load-bearing).

The CABIN-NET can be viewed as an interest-knowledge fit measure.

“Thus, it can be viewed as an interest-knowledge fit measure.”

Classified as probably not a substantial claim.

The CABIN-NET can be used to recommend educational programs that match individuals' basic interest profiles.

“In other words, the CABIN-NET can be used to recommend educational programs that match individuals' basic interest profiles.”

Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

The O*NET has begun the process of incorporating basic interest information for occupations, which could be directly linked to CABIN-NET scales for assessing person-occupation fit in the future.

“Notably, the O*NET has begun the process of incorporating basic interest information for occupations, which could be directly linked to CABIN-NET scales for assessing person-occupation fit in the future (Rounds et al., 2022).”

• cites Rounds et al., 2022Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

Probably not a substantial claim: may not pass S3 (load-bearing).

The sample size is relatively limited for the complex item-level structural models.

“However, since our sample size is relatively limited for these complex models, a few variables showed negative residual variance during initial model estimation.”

Probably not a substantial claim: may not pass S3 (load-bearing).

These residual variances were fixed to zero for stable model estimation.

“These residual variances were fixed to zero for stable model estimation (a common method to overcome Heywood cases; Farooq, 2022).”

• cites Farooq, 2022 sourceNot checked — no full text of the source

Classified as probably not a substantial claim.

The CABIN-NET was adapted from the Comprehensive Assessment of Basic Interests (CABIN).

“The authors are grateful to Rong Su, Louis Tay, Hsin-Ya Liao, and Qi Zhang for their work on the Comprehensive Assessment of Basic Interests (Su, Tay, Liao, Zhang, 2019), which was adapted for this study, and for their insightful input on this research.”

• cites Su, Tay, Liao, Zhang, 2019Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.