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              <h1>
      
        PSY4020 – Applied quantitative research methodology
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                <h2>Course description</h2>
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          <li>
        
          <a href="/studier/emner/sv/psykologi/PSY4020/v26/index.html">
          
            Spring 2026
            
          
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          <a href="/studier/emner/sv/psykologi/PSY4020/v25/index.html">
          
            Spring 2025
            
          
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          <li>
        
          <a href="/studier/emner/sv/psykologi/PSY4020/v24/index.html">
          
            Spring 2024
            
          
          </a>
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          <li>
        
          <a href="/studier/emner/sv/psykologi/PSY4020/v23/index.html">
          
            Spring 2023
            
          
          </a>
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          <a href="/studier/emner/sv/psykologi/PSY4020/v22/index.html">
          
            Spring 2022
            
          
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          <h2 id="course_content">Course content</h2>
          <p><em>The course aims to enhance</em> your methodological skills in the realms of analysis of variance, multiple regression analysis, and factor analysis. Additionally, it will introduce you to the principles of constructing psychological measurement scales.</p><p>One of the central features of this course is its emphasis on practical application. Through a case-based approach, you will actively engage in using these various methods. This hands-on approach will involve practicing the presentation and interpretation of results obtained from different analyses, ensuring a thorough understanding of their real-world application</p>
        
      
        
        
          
            
          
          <h2 id="learning_outcomes">Learning outcome</h2>
          <p>Knowledge</p><p>After taking this course, you shall</p><ul><li>Know the principles behind operationalizing latent variables and formal concepts</li><li>Know the principles behind the estimation of factor loadings and the rotation of latent factors</li><li>Know the principles behind the coding of linear and curvelinear effects</li><li>Know the principles of testing mediation and moderation</li></ul><p>Skills</p><ul><li>Run exploratory factor analyses and interpret and present their results</li><li>Test one- and multidimensionality in measurement instruments, especially through the use factor analysis</li><li>Within factor analyses, you shall be able to determine the number of factors, interpret factors found in a factor analysis, and create factor scores.</li><li>Conduct multiple linear regression analyses and interpret the results from the analyses.</li><li>Within multiple regression, you shall be able to include curvelinear effects, mediation analysis, and moderation analysis.</li><li>Use analysis of variance (ANOVA) to determine differences between groups and change within groups over time, and interpret and results from the analyses</li></ul><p>You will use this knowledge practically in the form exercises and by solving various practical problem cases involving these skills. In the case problems that you will work on, we put emphasis on presentation of results in line with established APA standards.?</p><p>General competencies</p><p>You will acquire general competence in constructing and evaluating psychological measurement instruments. You will also acquire general competence in interpreting and presenting results from multivariate analyses in general.</p>
        
      
        
        
          
            
          
          <h2 id="admission">Admission to the course</h2>
          <p>Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for <a href="http://www.uio.no/english/studies/registrations/course-registration/">in Studentweb</a>.</p><p>If you are not already enrolled as a student at UiO, please see our information about <a href="http://www.uio.no/english/studies/admission/">admission requirements and procedures</a>.</p>
        
      

              
        
        
      
        
        
      
        
        
          
            
            
          
          <h3 id="recommended-knowledge">Recommended previous knowledge</h3>
          <p>The course is an advanced course on the Master level and will be developing knowledge and skills that will be required if you take the course, in particular:</p><ul><li>Descriptive statistics (averages, variance, standard deviation, covariance, correlation)</li><li>Statistical tests of hypotheses</li><li>Estimation of reliability, in particular through calculating Cronbach’s alpha</li><li>Linear regression analysis using one and two independent variables</li><li>Use of t-test and analysis of variance (one-way, univariate) to compare groups</li></ul><p>If you do not have this knowledge, it will be necessary that you acquire them through self-study before the course starts. It is recommended for everyone to refresh their knowledge before the course.</p>
        
      
              
      <h2 id="overlapping-courses">Overlapping courses</h2>
      <ul>
      
      
        
        
        <li>
          5
          credits overlap with
          
            <a href="/studier/emner/sv/psykologi/PSYC3101/index.html">PSYC3101 – Kvantitativ metode II (discontinued)</a>.
        </li>
        
      
        
        
        <li>
          5
          credits overlap with
          
            <a href="/studier/emner/sv/psykologi/PSYC2104/index.html">PSYC2104 – Kvantitativ metode A</a>.
        </li>
        
      
        
        
        <li>
          5
          credits overlap with
          
            <a href="/studier/emner/sv/psykologi/PSYM4020/index.html">PSYM4020 – Applied quantitative research methodology</a>.
        </li>
        
      
      
      </ul>
      
              
        
        
          
            
          
          <h2 id="teaching">Teaching</h2>
          <p>This course includes a mandatory assignment that students must complete and have approved before they are eligible to take the final exam. The assignment is in the form of a written task that must be submitted.</p><p>Approved obligatory assignments are valid for the two next semesters the course is offered.</p><p>See <a href="/english/studies/examinations/compulsory-activities/sv-compulsory">the guidelines for obligatory activities</a>.</p><p><strong>Absence from obligatory assignments</strong></p><p>In case of sickness or other important reasons you may be exempted from the assignment or allowed to postpone under some circumstances.</p><ul><li><a href="/english/studies/examinations/compulsory-activities/sv-absence-from-compulsory-tuition-activities.html">Notify of absence or need for postponement of compulsory activity</a></li></ul><p>A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.</p>
        
      
              
        
        
      
              
        
        
          
            
          
          <h2 id="exam">Examination</h2>
          <p>3-hour school exam</p><p>?</p><p><a href="/studier/emner/sv/psykologi/PSY4020/tidligere-eksamensoppgaver/">Earlier exam tasks</a></p>
        
      
              
        
        
          
            
          
          <h3 id="exam_allowed_resources">Examination support material</h3>
          <p>Students may use dictionaries at this exam. Dictionaries must be handed in before the examination. Please read <a href="http://www.uio.no/english/studies/examinations/support-materials/sv-dictionary.html">regulations for dictionaries permitted at the examination</a>.</p><p>It is allowed to use dictionaries during the exam. The dictionaries shall be checked by SV-info beforehand. See the rules for using dictionaries.</p>
        
      
        
        
          
            
          
          <h3 id="exam_language">Language of examination</h3>
          <p>You may write your examination paper in Norwegian, Swedish, Danish or English.</p>
        
      
        
        
          
            
          
          <h3 id="grading_scale">Grading scale</h3>
          <p>Grades are awarded on a pass/fail scale. Read more about <a href="http://www.uio.no/english/studies/examinations/grading-system/">the grading system</a>.</p>
        
      
        
        
      
              
                  <h3>More about examinations at UiO</h3>

<ul>
	<li><a href="/english/studies/examinations/sources-citations/">Use of sources and citations</a></li>
	<li><a href="/english/studies/resources/ai_student.html">How to use AI as a student</a></li>
	<li><a href="/english/studies/examinations/special-arrangements/">Special exam arrangements due to individual needs</a></li>
	<li><a href="/english/studies/examinations/withdrawal/">Withdrawal from an exam</a></li>
	<li><a href="/english/studies/examinations/illness-postponed/index.html">Illness at exams / postponed exams</a></li>
	<li><a href="/english/studies/examinations/explanation-appeal/">Explanation of grades and appeals</a></li>
	<li><a href="/english/studies/examinations/new-exam/">Resitting an exam</a></li>
	<li><a href="/english/studies/examinations/cheating/">Cheating/attempted cheating</a></li>
</ul>

<p>You will find further guides and resources at <a href="/english/studies/examinations/">the web page on examinations at UiO</a>.</p>


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              <div class="vrtx-date-info">
                <span class="last-updated-label" title="Studinfo2">Last updated from FS (Felles studentsystem)</span>
                <span class="last-updated">Apr. 8, 2026 9:22:25 AM</span>
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        <h2>Facts about this course</h2>
        <dl>
          
          
          
          
          
          
            
              
                
              
              
            
            <dt>Level</dt>
            <dd>
              
              
                Master
              
            </dd>
          
          
          
          
          
          
          
            
              
                
              
              
            
            <dt>Credits</dt>
            <dd>
              
              
                5
              
            </dd>
          
          
          
          
          
          
             
          
          
            
              
                
              
              
            
            <dt>Teaching</dt>
            <dd>
              
              
                
        Spring
      
      
      
              
            </dd>
          
          
          
          
          
          
          
            
              
                
              
              
            
            <dt>Examination</dt>
            <dd>
              
              
                
        
          Spring
        
      
      
              
            </dd>
          
          
          
          
          
          
          
            
              
                
              
              
            
            <dt>Teaching language</dt>
            <dd>
              
              
                
         
           
           
           English
           
           
         
       
              
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              <div class="vrtx-frontpage-box">
                <h2>Contact</h2>
                    <p><a href="http://www.sv.uio.no/psi/english/about/contact/">Department of Psychology</a></p>


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