eTUTOR-CEK: DR 2023-2024: Metodološke osnove

EKONOMETRIJA ČASOVNIH VRST

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*Applied time series econometrics* (str. XXV, 323). (2004). Cambridge University Press.
Lütkepohl, H. (2007). New introduction to multiple time series analysis (Corr. 2nd printing, str. XXI, 764). Springer.
*Time series analysis* (str. XIV, 799). Princeton university press.
Greene, W. H. (2020). *Econometric analysis* (8th ed., global ed., str. 1166). Pearson.
Davidson, R., & MacKinnon, J. G. (1993). *Estimation and inference in econometrics* (str. XX, 874). Oxford University Press.
Harville, D. A. (1997). *Matrix algebra from a statistician’s perspective*. Springer-Verlag.

EKONOMETRIJA PANELNIH PODATKOV

Literatura	E-vir
Temeljna literatura: Wooldridge, J. M. (2010). *Econometric analysis of cross section and panel data* (2nd ed., str. XXVII, 1064). The MIT Press.
Dodatna literatura: Greene, W. H. (2020). *Econometric analysis* (8th ed., global ed., str. 1166). Pearson.
Davidson, R., & MacKinnon, J. G. (1993). *Estimation and inference in econometrics* (str. XX, 874). Oxford University Press.
Cameron, A. C., & Trivedi, P. K. (2022). *Microeconometrics using stata* (2nd ed., str. 2 zv. (XXXVII, 1675 )). Stata Press.

MATEMATIKA ZA EKONOMSKE IN POSLOVNE VEDE

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Simon, C. P., & Blume, L. (1994). *Mathematics for economists* (1st ed., str. XXIV, 930). Norton.
Mas-Colell, A., Whinston, M. D., & Green, J. R. (1995). *Microeconomic theory* (str. XVII, 981). Oxford University Press.
Hillier, F. S., & Lieberman, G. J. (1986). *Introduction to Operations research*. McGraw-Hill Companies.
Sydsæter, K., Hammond, P. J., Seierstad, A., & Strøm, A. (2008). *Further mathematics for economic analysis* (2nd ed., str. XI, 616). Pearson Education.

NADALJEVALNA EKONOMETRIJA

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Hayashi, F. (2000). *Econometrics* (str. XXIII, 683). Princeton University Press.
Rao, C. R. (1973). *Linear statistical inference and its applications* (2nd ed., str. XX, 625). J. Wiley & Sons.
Ruud, P. A. (2000). *An introduction to classical econometric theory* (str. XXIV, 951). Oxford University Press.

REGRESIJSKI MODELI V EKONOMIJI IN POSLOVNIH VEDAH

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Gujarati, D. N., & Porter, D. C. (2009). *Basic econometrics* (5th ed., international ed., str. XX, 922). McGraw-Hill.
Brooks, C. (2014). *Introductory econometrics for finance* (3rd ed., str. XXIV, 716). Cambridge University Press.
Hill, R. Carter., Griffiths, W. E., & Lim, G. C. (2011). *Principles of econometrics* (4th ed., str. XXVI, 758). J. Wiley.
Wooldridge, J. M. (2010). *Econometric analysis of cross section and panel data* (2nd ed., str. XXVII, 1064). The MIT Press.

TEORIJA IN PRAKSA KVALITATIVNEGA RAZISKOVANJA

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*Research methods for postgraduates* (3rd ed., str. XXI, 520). (2016). John Wiley & Sons.
*The Sage handbook of qualitative research* (6th ed., str. LVIII, 741). (2024). SAGE.

TEORIJA IN PRAKSA KVANTITATIVNEGA RAZISKOVANJA

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Shugan, S. M. (2002). In search of Data: An editorial. Marketing Science, 21(4), str. 369–377.
Walster, G. W., & Cleary, T. A. (1970). Statistical significance as a decision rule. Sociological Methodology, 2, str. 246–254. https://doi.org/10.2307/270793
Miller, J. E., & Van Der Meulen Rodgers, Y. (2008). Economic importance and statistical significance: Guidelines for communicating empirical research. Feminist Economics, 14(2), str. 117–149. https://doi.org/10.1080/13545700701881096
Frecka, T. J., & Hopwood, W. S. (1983). The Effects of Outliers on the Cross-Sectional Distributional Properties of Financial Ratios. The Accounting Review, 58(1), str. 115–128.
Brewer, J. K. (1972). On the Power of Statistical Tests in the “American Educational Research Journal.” American Educational Research Journal, 9(3), str. 391-401.

TEORIJA MERJENJA IN LESTVIC/MEASUREMENT THEORY AND SCALING

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Balabanis, G., & Diamantopoulos, A. (2016). Consumer xenocentrism as determinant of foreign product Preference: A system justification perspective. Journal of International Marketing, 24(3), str. 58–77. https://doi.org/10.1509/jim.15.0138
Bollen, K. A. (2011). Evaluating effect, composite, and causal indicators in structural equation models. *MIS Quarterly*, 35(2), str. 359–372. https://doi.org/10.2307/23044047
Bollen, K. A., & Bauldry, S. (2011). Three Cs in measurement models: Causal indicators, composite indicators, and covariates. Psychological Methods, 16(3), str. 265–284. https://doi.org/10.1037/a0024448
Bollen, K. A., & Diamantopoulos, A. (2017). In defense of causal-formative indicators: A minority report. Psychological Methods, 22(3), str. 581–596. https://doi.org/10.1037/met0000056
Bollen, K., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110(2), str. 305–314. https://doi.org/10.1037/0033-2909.110.2.305
Cenfetelli, R. T., & Bassellier, G. (2009). Interpretation of formative measurement in information systems research. *MIS Quarterly*, 33(4), str. 689–707. https://doi.org/10.2307/20650323
Churchill, G. A., jr. (1978). A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16(1), str. 64–73. https://doi.org/10.2307/3150876
Diamantopoulos, A. (2011). Incorporating Formative Measures into Covariance-Based Structural Equation Models. *MIS Quarterly*, 35(2), str. 335–358. https://doi.org/10.2307/23044046
Diamantopoulos, A., & Riefler, P. (2011). Using formative measures in international marketing models: a cautionary tale using consumer animosity as an example. In M. Sarstedt, M. Schwaiger, & C. R. Taylor (Eds.), Measurement and Research Methods in International Marketing (str. 11–30). https://doi.org/10.1108/s1474-7979(2011)0000022004
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus Reflective Indicators in Organizational Measure Development: A comparison and Empirical illustration. British Journal of Management, 17(4), str. 263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x
Diamantopoulos, A., & Winklhofer, H. M. (2001). Index Construction with Formative Indicators: An Alternative to Scale Development. Journal of Marketing Research, 38(2), str. 269–277. https://doi.org/10.1509/jmkr.38.2.269.18845
Diamantopoulos, A., Riefler, P., & Roth, K. P. (2008). Advancing formative measurement models. Journal of Business Research, 61(12), str. 1203–1218. https://doi.org/10.1016/j.jbusres.2008.01.009
Foedermayr, E., Diamantopoulos, A., & Sichtmann, C. (2009). Export segmentation effectiveness: index construction and link to export performance. Journal of Strategic Marketing, 17(1), str. 55–73. https://doi.org/10.1080/09652540802619277
Fuchs, & Diamantopoulos, A. (2009). Using single-item measures for construct measurement in management research: Conceptual issues and application guidelines. Die Betriebswirtschaft, 69(2), str. 195–210.
Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25(2), str. 186–192. https://doi.org/10.2307/3172650
Halkias, G., & Diamantopoulos, A. (2020). Universal dimensions of individuals’ perception: Revisiting the operationalization of warmth and competence with a mixed-method approach. *International Journal of Research in Marketing*, 37(4), str. 714–736. https://doi.org/10.1016/j.ijresmar.2020.02.004
Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), str. 199–218. https://doi.org/10.1086/376806
Law, K. S., Wong, C., & Mobley, W. H. (1998). Toward a taxonomy of multidimensional constructs. *The Academy of Management Review*, 23(4), str. 741–755. https://doi.org/10.2307/259060
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: integrating new and existing techniques. *Management Information Systems Quarterly*, 35(2), str. 293-334. https://doi.org/10.2307/23044045
Mowen, J. C., & Voss, K. E. (2008). On building better construct measures: Implications of a general hierarchical model. Psychology & Marketing, 25(6), str. 485–505. https://doi.org/10.1002/mar.20221
Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). *Scaling procedures: issues and applications* (str. XIV, 203). Sage Publications.
Noar, S. M. (2003). The role of structural equation modeling in scale development. Structural Equation Modeling, 10(4), str. 622–647. https://doi.org/10.1207/s15328007sem1004_8
Oberecker, E. M., & Diamantopoulos, A. (2011). Consumers’ Emotional Bonds with Foreign Countries: Does Consumer Affinity Affect Behavioral Intentions? Journal of International Marketing, 19(2), str. 45–72. https://doi.org/10.1509/jimk.19.2.45
Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. *MIS Quarterly*, 31(4), str. 623–656. https://doi.org/10.2307/25148814
Ping, R. A. (2004). On assuring valid measures for theoretical models using survey data. Journal of Business Research, 57(2), str. 125–141. https://doi.org/10.1016/s0148-2963(01)00297-1
Spector, P. E. (1992). *Summated rating scale construction: an introduction* (str. VI, 73). Sage.
Steenkamp, J. E. M., & Van Trijp, H. C. M. (1991). The use of lisrel in validating marketing constructs. *International Journal of Research in Marketing*, 8(4), str. 283–299. https://doi.org/10.1016/0167-8116(91)90027-5
Temme, D., & Diamantopoulos, A. (2016). Higher-order models with reflective indicators: A rejoinder to a recent call for their abandonment. Journal of Modelling in Management, 11(1), str. 180–188. https://doi.org/10.1108/jm2-05-2014-0037
Temme, D., Diamantopoulos, A., & Pfegfeidel, V. (2014). Specifying formatively-measured constructs in endogenous positions in structural equation models: Caveats and guidelines for researchers. *International Journal of Research in Marketing*, 31(3), str. 309–316. https://doi.org/10.1016/j.ijresmar.2014.03.002
Viswanathan, M. (2005). *Measurement error and research design* (str. XXI, 434). Sage.

UVOD V MODELE STRUKTURNIH ENAČB S PROGRAMOM LISREL/INTRODUCTION TO STRUCTURAL EQUATIONS MODELING WITH LISREL

Literatura	E-vir
Diamantopoulos, A., & Siguaw, J. A. (2009). *Introducing LISREL: a guide for the uninitiated* (Reprinted, str. XIII, 171). SAGE.
Byrne, B. M. (1998). *Structural equation modeling with LISREL, PRELIS, and SIMPLIS: basic concepts, applications, and programming* (str. XIII, 412). L. Erlbaum Associates.
Kline, R. B. (2011). *Principles and practice of structural equation modeling* (3rd ed., str. XVI, 427). The Guilford Press.
Raykov, T., & Marcoulides, G. A. (2000). *A first course in structural equation modeling* (str. viii, 205). Lawrence Erlbaum Associates.
Schumacker, R. E., & Lomax, R. G. (2016). *A beginner’s guide to structural equation modeling* (4th ed., str. XXI, 351). Routledge.
Hair, J. F. (2019). *Multivariate data analysis* (8th ed., str. XVII, 813). Cengage Learning EMEA.

VERJETNOST IN STATISTIKA

Literatura	E-vir
Rice, J. A. (1995). *Mathematical statistics and data analysis* (2nd ed., str. XX, 602, A49). Duxbury.
Roussas, G. G. (1997). *A course in mathematical statistics* (2nd ed., str. XX, 572). Academic Press.
Greene, W. H. (2020). *Econometric analysis* (8th ed., global ed., str. 1166). Pearson.
Weisberg, S. (2014). *Applied linear regression* (4th ed., str. XVII, 340). Wiley.

UVOD V DIGITALNO ANALIZO BESEDILNIH PODATKOV / INTRODUCTION TO DIGITAL TEXT ANALYSIS

Literatura	E-vir
Antons, D., Breidbach, C. F., Joshi, A. M., & Salge, T. O. (2021). Computational Literature Reviews: Method, Algorithms, and Roadmap. Organizational Research Methods, 26(1), str. 107–138. https://doi.org/10.1177/1094428121991230
Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), str 77–84. https://doi.org/10.1145/2133806.2133826
Hannigan, T. R., Haans, R. F. J., Vakili, K., Tchalian, H., Glaser, V. L., Wang, M. S., Kaplan, S., & Jennings, P. D. (2019). Topic Modeling in Management Research: Rendering New Theory from Textual Data. The Academy of Management Annals, 13(2), 586–632.
Hannigan, T. R., Haans, R. F. J., Vakili, K., Tchalian, H., Glaser, V. L., Wang, M. S., Kaplan, S., & Jennings, P. D. (2019). Topic Modeling in Management Research: Rendering New Theory from Textual Data. The Academy of Management Annals, 13(2), 586–632.
Kobayashi, V. B., Mol, S. T., Berkers, H. A., Kismihók, G., & Hartog, D. N. D. (2017). Text classification for organizational researchers: A tutorial. *Organizational Research Methods*, 21(3), 766–799. https://doi.org/10.1177/1094428117719322