Factor Analysis in Counseling Research and Practice

Mvududu, Nyaradzo; Sink, Christopher A.

doi:10.1177/2150137813494766

Cited by 180 publications

(163 citation statements)

References 35 publications

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“…There is no complete agreement regarding interpretation of fit indices (Mvududu & Sink, 2013), but using relatively conservative criteria (four or lower for w 2 /df, 0.90 or higher for CFI and TLI; lower than 0.10 for RMR and lower than 0.08 for the RMSEA), all current indices fell within acceptable range. It has been reported that RMSEA may over-reject good models at small sample sizes.…”

Section: Resultsmentioning

confidence: 99%

“…In this study, four individuals (three men and one woman) were assigned and instructed to survey 25 women. Fundamentally, CFA is used to determine whether an instrument's factor structure derived from exploratory factor analytic approaches can hold up with another respondent sample (Mvududu & Sink, 2013). We used CFA to examine the previously identified factor structure of the scale (see Table 2).…”

Section: Methodsmentioning

confidence: 99%

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Dimensions of Women’s Mate Preferences

Atari

Jamali

2016

Evol Psychol

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A large number of studies have assessed human mate preferences using lists of characteristics. To date, there is little data regarding mate preferences in Iran. The present study aimed to investigate dimensions in mate preferences among Iranian women and to validate a female-specific instrument in Iranian context. Three studies were designed and conducted. The first study was an interview-based qualitative analysis of women's mate preferences. The second study provided a psychometrically sound list of 26 characteristics in a potential mate. The third study confirmed the five-factor structure of the instrument. In sum, five dimensions of mate preferences among Iranian women are kindness/dependability, status/resources, attractiveness/sexuality, religiosity/ chastity, and education/intelligence, as measured by the newly developed 26-item scale.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Dimensions of Women’s Mate Preferences

Atari

Jamali

2016

Evol Psychol

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“…We computed two CFAs to test the construct validity of instrumentation prior to computing the HLR and MANOVA (Research Question 1). A maximum likelihood estimation method was used in both CFAs because the parametric properties of items were largely consistent (skewness and kurtosis values were approximately ±1) with normal distributions (Mvududu & Sink, 2013). We ensured that our sample size exceeded the requirements for computing CFA, with a 27:1 ratio of respondents to each estimated parameter (Mvududu & Sink, 2013).…”

Section: Resultsmentioning

confidence: 99%

Mental Health Literacy and Peer‐to‐Peer Counseling Referrals Among Community College Students

Kalkbrenner

Sink

Smith

2020

Jour of Counseling & Develop

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Mental health literacy (MHL) has utility for promoting peer‐to‐peer referrals to mental health support services among university students. However, there is a gap in the extant literature about the potential usefulness of MHL for supporting the mental health of community college students, a population facing a number of mental health conditions. The authors examined the construct validity and the utility of 3 dimensions of MHL as predictors of peer‐to‐peer referrals to the counseling center among community college students. Results of confirmatory factor analyses supported the dimensionality of the instrumentation and a hierarchical logistic regression analysis revealed that MHL was a significant positive predictor of peer‐to‐peer referrals to the counseling center. Implications for counseling practice and future research are discussed.

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“…In Section , the correlation among the 11 terrain factors has been computed so that the correlation matrix can be employed to examine suitability for factor analysis. Two quantitative methods, the KMO (Kaiser‐Meyer‐Olkin) index and Bartlett test of sphericity, are available in SPSS to examine the correlation matrix . The KMO index specifies how small the partial correlations are relative to the original correlations while Bartlett test of sphericity examines whether the terrain factors are highly uncorrelated or not.…”

Section: Factor Analysismentioning

confidence: 99%

Impact of terrain factors on the matching performance of terrain‐aided navigation

2019

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Aiming at describing terrain variation in an easily understandable way, a new method is proposed to describe the terrain elevations quantitatively by factor analysis for terrain‐aided navigation. After as many terrain factors as possible are collected describing the terrain elevations from various aspects, they are simplified by correlation to remove the redundant factors. The simplified terrain factors are processed to derive the extracted factors by principal component analysis. With such factor analysis, three extracted factors dubbed “variation,” “similarity,” and “information” are derived in the conceptual level. A classifier is derived by logistic regression using the extracted factors. The percentages of the correct classification are very high both for the suitable and the unsuitable regions of matching in two maps, which proves the effectiveness of the extracted factors for the terrain elevations.

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Factor Analysis in Counseling Research and Practice

Cited by 180 publications

References 35 publications

Dimensions of Women’s Mate Preferences

Dimensions of Women’s Mate Preferences

Mental Health Literacy and Peer‐to‐Peer Counseling Referrals Among Community College Students

Impact of terrain factors on the matching performance of terrain‐aided navigation

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