IHMJ2111 Analyzing and Reporting Survey Data (2 op)

Avaa opintojakson esite Sisussa

Opinnon taso:

Jatko-opinnot

Arviointiasteikko:

Hyväksytty - hylätty

Suorituskieli:

englanti

Vastuuorganisaatio:

Kasvatustieteiden ja psykologian tiedekunta

Opetussuunnitelmakaudet:

2020-2021, 2021-2022, 2022-2023

Kuvaus

In this video lectures we talk about data description, testing hypotheses, statistical power and effect sizes. We introduce statistical methods and how to choose right method. The methods described cover t-test to structural equation modeling and extensions to multilevel and mixture modeling. We talk also how to report the method used, the used data and results.

Osaamistavoitteet

Targeted learning outcomes: Students are more conscious how to analyse their survey data and which is the essential information to report.

Lisätietoja

Completion mode: Online lectures. After the lectures there will also be group work sessions where the methods of the articles will be analyzed.

Oppimateriaalit

Learning materials: Video lectures.

Literature

Edith D. de Leeuw, Joop J. Hox and Don A. Dillman. International handbook of survey methodology.

Rick H. Hoyle. Handbook of structural equation modelling.

Rex B. Kline (Fourth Edition). Principles and practice of structural equation modelling.

Andrew F. Hayes (Second Edition). Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition.

Joop J. Hox (in the third edition also Mirjam Moerbeek and Rens van de Schoot). Multilevel analysis: techniques and applications.

Tom A. B. Snijders & Roel J. Bosker. Multilevel analysis: An introduction to basic and advances multilevel modelling.

Ronald H. Heck & Scott L. Thomas. An Introduction to Multilevel Modeling Techniques : MLM and SEM Approaches Using Mplus, Third Edition.

Gregory R. Hancock & Karen M. Samuelsen. Advances in latent variable mixture models.

Mäkikangas, A., Tolvanen, A., Aunola, K., Feldt, T., Mauno, S., & Kinnunen, U. (2018). Multilevel latent Profile Analysis With Covariates : Identifying Job Characteristics Profiles in Hierarchical Data as an Example. Organizational Research Methods, 21 (4), 931-954. doi:10.1177/1094428118760690 Open access.

Aunola, K., Tolvanen, A., Kiuru, N., Kaila, S., Mullola, S., & Nurmi, J.-E. (2015). A Person-Oriented Approach to Diary Data: Children’s Temperamental Negative Emotionality Increases Susceptibility to Emotion Transmission in Father-Child Dyads. Journal for Person-Oriented Research, 1 (1-2), 72-86. doi:10.17505/jpor.2015.08 Open access.

Barbara M. Byrne. Structural Equation Modelling with Mplus.

W. Holmes Finch & Jocelyn E. Bolin. Multilevel modelling using Mplus.

Suoritustavat

Tapa 1

Arviointiperusteet:

will be agreed upon in each study attainment

Valitaan kaikki merkityt osat

Suoritustapojen osat

Online lectures (2 op)

Tyyppi:

Osallistuminen opetukseen

Arviointiasteikko:

Hyväksytty - hylätty

Suorituskieli:

englanti

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