Conceptualizing a Four-Factor Construct for Journalists’ Job Satisfaction: A Structural Equation Modeling Method

Job Satisfaction studies, especially in the field of Organization research, have traditionally been looked at as a measure of motivation and environmental factors. Factors of burnout related to emotional exhaustion, depersonalization, and personal accomplishment and its different variants have also been related to diverse conceptualizations of job satisfaction. Recent studies in the fields of human services have also looked at intrinsic, organizational and salary as factors of job satisfaction. The present study theorizes a four-factor construct of job satisfaction for journalists - intrinsic satisfaction, organizational satisfaction, tangible benefits and efficacy perceptions. Based on an online survey of 216 journalists in three Indian cities, this study provides a structural equation modeling approach to prove the construct validity of the hypothesized model proposed as a second order hierarchical construct. Standard goodness of fit indices and factor loadings are used to prove the construct validity

Motivated skepticism as a formative factor for credibility measures of television news in India: A Structural equation Modeling approach

Trustworthiness, accuracy and believability are the most common indicators of news credibility measures. The impact of selective exposure, i.e. audience choosing content similar to their beliefs, on News Credibility is generally not considered in this context. This paper suggests that perceptions of News Credibility are influenced by selective exposure. This means people judge attitude-consistent content and sources as more credible. One explanation for selective exposure is ‘Motivated Skepticism’: we define a five-item construct for this construct. We hypothesize a Structural Equation Model with the latent construct Motivated Skepticism as a formative factor for News Credibility estimation of Indian television news channels. An online survey of 351 respondents from two Indian cities measures the goodness-of-fit and construct validity of the hypothesized SEM model. News Credibility is reported as a two- factor, second-order structure measured by Message Attributes and Channel Attributes, with Motivated Skepticism as a formative factor

Effect of Imatinib on Bone Marrow Morphology and Angiogenesis in Chronic Myeloid Leukemia

Background and Objectives. Chronic myeloid leukemia (CML) is characterized by hyperproliferation of myeloid precursors, increased fibrosis, and neoangiogenesis in the bone marrow. Imatinib inhibits BCR-ABL tyrosine kinase produced due to reciprocal translocation t(9;22) in neoplastic CML cells. It reduces hyperproliferation of myeloid precursors and has been found to affect bone marrow fibrosis and angiogenesis. This study was done to assess the effect of imatinib on bone marrow morphology and angiogenesis in CML. Methods. 31 newly diagnosed CML patients were evaluated before and after 3 months of imatinib therapy. A marrow morphological response (MMR) score was used to assess marrow cytological and histological features including grade of fibrosis. Mean microvessel density (MVD) was also assessed. Hematological parameters and BCR-ABL transcript levels were assessed in the peripheral blood. Results. 86.21% of patients showed decrease in marrow cellularity with normalization of M:E ratio. 72.42% of patients had decrease in grade of fibrosis and 17.24% showed no change while 10.34% of patients showed progression of fibrosis grade. Patients with MMR score ≥ 2 (n=4) and those with progression of fibrosis grade (n=3) showed suboptimal molecular response (BCR-ABL transcripts > 10%). Pretherapy mean MVD of patients (14.69 ± 5.28) was higher than that of controls (6.32 ± 1.64). A significant reduction of 66.51% was observed in posttherapy mean MVD (4.98 ± 2.77) of CML patients (p<0.001). Conclusion. Imatinib therapy in CML not only decreases marrow cellularity, but also helps towards normalization of bone marrow microenvironment by reducing fibrosis and angiogenesis