A summary of the course statistics for premaster communication & information sciences. In the summary, weekly learning goals are answered using lecture notes and mandatory reading. This is supplemented with notes from the practical units. A flowchart of assumption testing and APA report template fo...
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Summary Discovering Statistics Using IBM SPSS Statistics - 5th edition - Andy Fields
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Tilburg University (UVT)
Communication and Information Sciences
Statistics for Premaster (800547B6)
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Statistics for Premaster Communication & Information Sciences
Premaster course (2021)
Course code: 800547-B-6
Tilburg University
Weekly learning goals including:
Book summary: Discovering Statistics Using IBM SPSS statistics (Field, A);
Supplemented with theoretical lecture notes;
And practical units (PU) notes.
Flowcharts of tests (& their assumptions) + clicks in SPSS
APA report templates (per test)
,Week 1: Introduction: doing research (Chapters 1&4).............................................................4
The role of data in the research design........................................................................................4
Types of variables........................................................................................................................5
Types of research.........................................................................................................................7
The SPSS environment................................................................................................................7
Week 2: research methods & statistical models (Chapters 2&5)..............................................8
, Week 1: Introduction: doing research (Chapters 1&4)
The role of data in the research design
…can explain the research process and what each step in the process entails.
Research starts with curiosity, with a question. If this question cannot be answered by looking up
information, you can start research. Can you collect data? When the research becomes testable,
you call it scientific.
Observation (= observe real world and read existing research) > generate theory > hypotheses
(pag.5) > research to collect data > analyze the data = back to generate theory
A theory is a hypothesized general principle (or set of principles) that explains why. Theories
allow you to create new hypotheses.
Generating a hypothesis: creating a prediction which you are going to test through falsification
(possibility of disproof).
With falsification you are going to disproof a theory or hypothesis. Your point of departure in
hypothesis-testing is always that there is no difference.
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