Little Jiffy, Mark Iv

An Index of Factorial Simplicity

Kaiser, H. F. (1974) · Psychometrika · doi:10.1007/bf02291575 · Cited by 14,898 · see citing works

The application of electronic computers to factor analysis

Kaiser, H. F. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000116 · Cited by 12,459 · see citing works

A Second Generation Little Jiffy

Kaiser, H. F. (1970) · Psychometrika · doi:10.1007/bf02291817 · Cited by 4,855 · see citing works

Some necessary conditions for common-factor analysis

Guttman, L. (1954) · Psychometrika · doi:10.1007/bf02289162 · Cited by 1,689 · see citing works

Computer Program for Varimax Rotation in Factor Analysis

Kaiser, H. F. (1959) · Educational and Psychological Measurement · doi:10.1177/001316445901900314 · Cited by 390 · see citing works

Image Theory for the Structure of Quantitative Variates

Guttman, L. (1953) · Psychometrika · doi:10.1007/bf02289264 · Cited by 283 · see citing works

Oblique Factor Analytic Solutions by Orthogonal Transformations

Harris, C. W., & Kaiser, H. F. (1964) · Psychometrika · doi:10.1007/bf02289601 · Cited by 250 · see citing works

THE QUARTIMAX METHOD

Neuhaus, J. O., & Wrigley, C. (1954) · British Journal of Statistical Psychology · doi:10.1111/j.2044-8317.1954.tb00147.x · Cited by 243 · see citing works

Some Rao-Guttman Relationships

Harris, C. W. (1962) · Psychometrika · doi:10.1007/bf02289622 · Cited by 136 · see citing works

“Best Possible” Systematic Estimates of Communalities

Guttman, L. (1956) · Psychometrika · doi:10.1007/bf02289137 · Cited by 124 · see citing works

The Experience of Presence: Factor Analytic Insights

Schubert, T., Friedmann, F., & Regenbrecht, H. (2001) · Presence: Teleoperators and Virtual Environments · doi:10.1162/105474601300343603 · Cited by 2,303 · see citing works

Blended learning: the new normal and emerging technologies

Dziuban, C., Graham, C. R., Moskal, P. D., Norberg, A., & Sicilia, N. (2018) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-017-0087-5 · Cited by 1,252 · see citing works

Online learning performance and satisfaction: do perceptions and readiness matter?

Wei, H.-C., & Chou, C. (2020) · Distance Education · doi:10.1080/01587919.2020.1724768 · Cited by 529 · see citing works

Adaptation canadienne-française de la forme révisée du State-Trait Anxiety Inventory de Spielberger

Gauthier, J., & Bouchard, S. (1993) · Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement · doi:10.1037/h0078881 · Cited by 407 · see citing works

Assessment of body image flexibility: The Body Image-Acceptance and Action Questionnaire

Sandoz, E. K., Wilson, K. G., Merwin, R. M., & Kate Kellum, K. (2013) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2013.03.002 · Cited by 396 · see citing works

Family and Academic Stress and Their Impact on Students' Depression Level and Academic Performance

Deng, Y., Cherian, J., Khan, N. U. N., Kumari, K., Sial, M. S., Comite, U., Gavurova, B., & Popp, J. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.869337 · Cited by 371 · see citing works

The metacognitive model of GAD: Assessment of meta-worry and relationship with DSM-IV generalized anxiety disorder

Wells, A. (2005) · Cognitive Therapy and Research · doi:10.1007/s10608-005-1652-0 · Cited by 300 · see citing works

Roles of perceived value and individual differences in the acceptance of mobile coupon applications

Liu, F., Zhao, X., Chau, P. Y. K., & Tang, Q. (2015) · Internet Research · doi:10.1108/intr-02-2014-0053 · Cited by 218 · see citing works

Defining and assessing the syndrome of moral injury: Initial findings of the Moral Injury Outcome Scale Consortium

Litz, B. T., Plouffe, R. A., Nazarov, A., Murphy, D., Phelps, A., Coady, A., Houle, S. A., Dell, L., Frankfurt, S., Zerach, G., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.923928 · Cited by 196 · see citing works

Self-compassion may reduce anxiety and depression in nursing students: a pathway through perceived stress

Luo, Y., Meng, R., Li, J., Liu, B., Cao, X., & Ge, W. (2019) · Public Health · doi:10.1016/j.puhe.2019.05.015 · Cited by 135 · see citing works

Informal workplace learning: development and validation of a measure

Decius, J., Schaper, N., & Seifert, A. (2019) · Human Resource Development Quarterly · doi:10.1002/hrdq.21368 · Cited by 127 · see citing works

Prediction of Core Body Temperature Based on Skin Temperature, Heat Flux, and Heart Rate Under Different Exercise and Clothing Conditions in the Heat in Young Adult Males

Eggenberger, P., MacRae, B. A., Kemp, S., Bürgisser, M., Rossi, R. M., & Annaheim, S. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01780 · Cited by 91 · see citing works

Effects of bioenergy crop cultivation on earthworm communities—A comparative study of perennial (Miscanthus) and annual crops with consideration of graded land-use intensity

Felten, D., & Emmerling, C. (2011) · Applied Soil Ecology · doi:10.1016/j.apsoil.2011.06.001 · Cited by 83 · see citing works

Measuring university students’ technostress in technology-enhanced learning: Scale development and validation

Wang, X., Tan, S. C., & Li, L. (2020) · Australasian Journal of Educational Technology · doi:10.14742/ajet.5329 · Cited by 79 · see citing works

Pancreatitis quality of life instrument: A psychometric evaluation

Wassef, W., DeWitt, J., McGreevy, K., Wilcox, M., Whitcomb, D., Yadav, D., Amann, S., Mishra, G., Alkaade, S., Romagnuolo, J., et al. (2016) · American Journal of Gastroenterology · doi:10.1038/ajg.2016.225 · Cited by 73 · see citing works

The appropriated racial oppression scale: Development and preliminary validation

Campón, R. R., & Carter, R. T. (2015) · Cultural Diversity & Ethnic Minority Psychology · doi:10.1037/cdp0000037 · Cited by 68 · see citing works

A novel household water insecurity scale: Procedures and psychometric analysis among postpartum women in western Kenya.

Boateng, G. O., Collins, S. M., Mbullo, P., Wekesa, P., Onono, M., Neilands, T. B., & Young, S. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198591 · Cited by 68 · see citing works

Measuring those who have their minds set: An item-level meta-analysis of the implicit theories of intelligence scale in education

Scherer, R., & Campos, D. G. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100479 · Cited by 63 · see citing works

Supporting digitally enhanced learning through measurement in higher education: Development and validation of a university students' digital competence scale

Wang, X., Wang, Z., Wang, Q., Chen, W., & Pi, Z. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12546 · Cited by 62 · see citing works

Validation of a French version of the Pure Procrastination Scale (PPS)

Rebetez, M. M. L., Rochat, L., Gay, P., & Van der Linden, M. (2014) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2014.04.024 · Cited by 57 · see citing works

Associations of cytokines, sleep patterns, and neurocognitive function in youth with HIV infection

Foster, S. B., Lu, M., Glaze, D. G., Reuben, J. M., Harris, L. L., Cohen, E. N., Lee, B.-N., Zhao, E., Paul, M. E., Schwarzwald, H., et al. (2012) · Clinical Immunology · doi:10.1016/j.clim.2012.04.004 · Cited by 49 · see citing works

Is blended e-learning as measured by an achievement test and self-assessment better than traditional classroom learning for vocational high school students?

Chang, C.-C., Shu, K.-M., Liang, C., Tseng, J.-S., & Hsu, Y.-S. (2014) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v15i2.1708 · Cited by 44 · see citing works

Assessing momentary relaxation using the relaxation state questionnaire (RSQ)

Steghaus, S., & Poth, C. H. (2022) · Scientific Reports · doi:10.1038/s41598-022-20524-w · Cited by 44 · see citing works

Selected heavy metal biosorption by compost of Myriophyllum spicatum—a chemometric approach

Milojković, J., Pezo, L., Stojanović, M., Mihajlović, M., Lopičić, Z., Petrović, J., Stanojević, M., & Kragović, M. (2016) · Ecological Engineering · doi:10.1016/j.ecoleng.2016.05.012 · Cited by 34 · see citing works

The Role of Dysfunctional Cognitions in Patients With Chronic Tinnitus.

Conrad, I., Kleinstäuber, M., Jasper, K., Hiller, W., Andersson, G., & Weise, C. (2015) · Ear & Hearing · doi:10.1097/aud.0000000000000168 · Cited by 31 · see citing works

Treating students as customers in higher education institutions and its impact on their academic performance

Safdar, B., Habib, A., Amjad, A., & Abbas, J. (2020) · International Journal of Academic Research in Progressive Education and Development · doi:10.6007/ijarped/v9-i4/8458 · Cited by 29 · see citing works

Does Cognitive Fusion show up similarly across two behavioral health samples? Psychometric properties and invariance of the Greek–Cognitive Fusion Questionnaire (G-CFQ)

Zacharia, M., Ioannou, M., Theofanous, A., Vasiliou, V. S., & Karekla, M. (2021) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2021.01.003 · Cited by 11 · see citing works

Testing the psychometric properties of the illness perceptions questionnaire for OCD (IPQ-O)

Pedley, R., Berry, K., Bee, P., Gellatly, J., & Wearden, A. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2195-3 · Cited by 8 · see citing works

Influence of Gamification Elements on Explicit Motive Dispositions

Durmaz, T. B., Fuertes, J. L., & Imbert, R. (2022) · IEEE Access · doi:10.1109/access.2022.3220254 · Cited by 7 · see citing works

The Hot Flush Beliefs and Behaviour Scale for Men (HFBBS-Men) undergoing treatment for prostate cancer.

Hunter, M. S., Sharpley, C. F., Stefanopoulou, E., Yousaf, O., Bitsika, V., & Christie, D. R. H. (2014) · Maturitas · doi:10.1016/j.maturitas.2014.09.014 · Cited by 3 · see citing works

Artificial Intelligence-Based Adaptive Simulation Integrated With a Workforce Decision-Support System to Improve Simulated Nursing Leadership Performance: A Randomized Controlled Study

Almalki, M. (2026) · Cureus · doi:10.7759/cureus.117315

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Personality correlates and utilitarian judgments in the everyday context: Psychopathic traits and differential effects of empathy, social dominance orientation, and dehumanization beliefs

Takamatsu, R. (2019) · Personality and Individual Differences · doi:10.1016/j.paid.2019.03.029 · Cited by 22 · see citing works

Amount of altruistic punishment accounts for subsequent emotional gratification in participants with primary psychopathy

Masui, K., Iriguchi, S., Nomura, M., & Ura, M. (2011) · Personality and Individual Differences · doi:10.1016/j.paid.2011.07.006 · Cited by 14 · see citing works

The Information Used to Judge Supportiveness Depends on Whether the Judgment Reflects the Personality of Perceivers, the Objective Characteristics of Targets, or their Unique Relationships

Lakey, B., Lutz, C. J., & Scoboria, A. (2004) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.23.6.817.54806 · Cited by 14 · see citing works

The Mental Representations Of High And Low Entitativity Groups

Johnson, A. L., & Queller, S. (2003) · Social Cognition · doi:10.1521/soco.21.2.101.21316 · Cited by 13 · see citing works