http://www.bwgriffin.com/gsu/courses/edur7130/content/Qualitative_content_analysis_Graneheim_Lundman_2003.pdf

Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness

1. Experiments and Generalized Causal Inference 2. Statistical Conclusion Validity and Internal Validity 3. Construct Validity and External Validity 4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome 5. Quasi-Experimental Designs That Use Both Control Groups and Pretests 6. Quasi-Experimentation: Interrupted Time Series Designs 7. Regression Discontinuity Designs 8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them 9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment 10. Practical Problems 2: Treatment Implementation and Attrition 11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies 13. Generalized Causal Inference: Methods for Multiple Studies 14. A Critical Assessment of Our Assumptions

Experimental and Quasi-Experimental Designs for Generalized Causal Inference

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

What assumptions and methods allow us to turn observations into causal knowledge, and how can even incomplete causal knowledge be used in planning and prediction to influence and control our environment? In this book Peter Spirtes, Clark Glymour, and Richard Scheines address these questions using the formalism of Bayes networks, with results that have been applied in diverse areas of research in the social, behavioral, and physical sciences. The authors show that although experimental and observational study designs may not always permit the same inferences, they are subject to uniform principles. They axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models, including models of categorical data and structural equation models with and without latent variables. The authors show that the relationship between causality and probability can also help to clarify such diverse topics in statistics as the comparative power of experimentation versus observation, Simpson's paradox, errors in regression models, retrospective versus prospective sampling, and variable selection. The second edition contains a new introduction and an extensive survey of advances and applications that have appeared since the first edition was published in 1993.

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Causation, prediction, and search

An unresolved issue in the field of implementation research is how to conceptualize and evaluate successful implementation. This paper advances the concept of “implementation outcomes” distinct from service system and clinical treatment outcomes. This paper proposes a heuristic, working “taxonomy” of eight conceptually distinct implementation outcomes—acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability—along with their nominal definitions. We propose a two-pronged agenda for research on implementation outcomes. Conceptualizing and measuring implementation outcomes will advance understanding of implementation processes, enhance efficiency in implementation research, and pave the way for studies of the comparative effectiveness of implementation strategies.

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Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda

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Quantitative Applications in the Social Sciences

Part 1 Fundamentals: single-product single-location models, H.L. Lee and S. Nahmias. Part 2 Multiple products and locations: analysis of multistage production systems, J.A. Muckstadt and R.O. Roundy centralized planning models for multi-echelon inventory systems under uncertainty, A. Federgruen continuous review policies for multi-level inventory systems with stochastic demand, S. Axsaeter performance evaluation of production networks, R. Suri et al manufacturing lead times, order release and capacity loading, U.S. Karmarkar. Part 3 Production planning and scheduling: an overview of production planning, L.J. Thomas and J.O. McClain mathematical programming models and methods for production and scheduling, J.F. Shapiro sequencing and scheduling - algorithms and complexity, E.L. Lawler et al hierarchical production planning, G.R. Bitran and D. Tirupati. Part 4 Additional topics: requirements planning, K.R. Baker the just-in-time system, H. Groenevelt scientific quality management and management science, P.J. Kolesar developments in manufacturing technology and economic evaluation models, C.H. Fine.

https://link.springer.com/content/pdf/10.1057/jors.1995.17.pdf

Logistics of Production and Inventory

The effect of ignoring routes when locating depots

Purpose – The purpose of this article is to investigate the path service quality → customer satisfaction → loyalty, at the level of constructs, drawing from the Greek insurance industry.Design/methodology/approach – A SERVQUAL type service‐quality instrument is developed for Greek insurance. Confirmatory and exploratory factor analyses are used to determine the scale's dimensionality. Path analysis is utilized to examine a model linking service quality, customer satisfaction and loyalty at the level of constructs' individual determinants.Findings – SERVQUAL's dimensionality is not confirmed. A non‐tangibles, tangibles structure exists in Greek insurance. “Tangibles” does not affect customer satisfaction while WOM is an antecedent of repurchasing intentions. Satisfaction does not directly influence the latter.Research limitations/implications – This study suffers the limitation that it tests the fit of the model within the limits of a single service industry. Another limitation is availability sampling. Ho...

Path analysis of perceived service quality, satisfaction and loyalty in Greek insurance

(2001). Inventory Management and Production Planning and Scheduling (Third Edition) Journal of the Operational Research Society: Vol. 52, No. 7, pp. 845-845.

/pdf/inventory-management-and-production-planning-and-scheduling-1zz63lcztd.pdf

Graham K. Rand

Papers

Quantitative Applications in the Social Sciences

Logistics of Production and Inventory

The effect of ignoring routes when locating depots

Path analysis of perceived service quality, satisfaction and loyalty in Greek insurance

Inventory Management and Production Planning and Scheduling (Third Edition)