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Record W3121277236

Commentary on the Multidimensional Degree of Family Influence Construct and the F-Pec Measurement Instrument

2005· article· en· W3121277236 on OpenAlexaff
P. Devereaux Jennings, Jennifer E. Cliff

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDiscriminant validityFace validityConstruct validityPsychologyScale (ratio)Predictive powerReliability (semiconductor)Predictive validityExternal validityValidityConvergent validitySocial psychologyInter-rater reliabilityContent validityTest validityInternal consistencyPower (physics)PsychometricsRating scaleDevelopmental psychologyEpistemologyGeography
DOInot available

Abstract

fetched live from OpenAlex

The Family Influence on Power, Experience, and Culture (F-PEC) measurement scale created in the Entrepreneurship: Theory and Practice article by Kelin, Astrachan, and Smyrnios (2005) is critiqued.The purpose is to provide feedback regarding the methodology of future research in order to establish further the validity and reliability of the scale, and provide theoretical directions for areas of future research. Several methodological issues are presented.Face validity and content validity are discussed, including issues of these forms of validity among the dimensions of the F-PEC scale.Convergent, discriminant, and predictive validity are also examined and suggestions for strengthening these forms of validity are provided.Internal consistency of the F-PEC is strong; however, possible explanations and limitations that may have contributed to these findings are provided.Interrater and test-retest reliability are addressed, as are several theoretical considerations.An effort is made to redefine family influence as either an independent or dependent variable.The dimensions of power, experience, and culture could be redefined as independent, dependent, or moderating variables within the study. The strengths and weaknesses of the research are discussed, and areas for future research. (AKP)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.215
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2005
Admission routes1
Has abstractyes

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