What do you write in the discussion of a lab report?

What do you write in the discussion of a lab report?

State the significance or implications of your experimental findings and recommend areas of future research. Relate your results to the aims of the experiment. Summarise your results (can combine with Stage 1). Explain your results.

What do you write in a discussion result?

Discussion

• Don�t repeat results.
• Order simple to complex (building to conclusion); or may state conclusion first.
• Conclusion should be consistent with study objectives/research question.
• Emphasize what is new, different, or important about your results.
• Consider alternative explanations for the results.
• Limit speculation.

How do you write a discussion in a psychology lab report?

Discussion. Next, your lab report should include a discussion section. Here you’ll interpret the results of your experiment and state whether your findings support your hypothesis. You also should offer possible explanations for your findings and what they might mean in terms of future research on the topic.

How do you write a psychology investigation report?

Psychological Report Writing

1. Include a one sentence summary, giving the topic to be studied.
2. Describe the participants, number used and how they were selected.
3. Describe the method and design used and any questionnaires etc.

How do you write a design section of a psychology report?

Design. Describe the type of design used in the experiment. Specify the variables as well as the levels of these variables. Clearly identify your independent variables, dependent variables, control variables, and any extraneous variables that might influence your results.

How do I write a discussion section in Scribbr?

Table of contents

1. Summarise your key findings.
2. Give your interpretations.
3. Discuss the implications.
4. Acknowledge the limitations.
5. State your recommendations.
6. What to leave out of the discussion.
7. Checklist.

How do you report chi square results?

Chi Square Chi-Square statistics are reported with degrees of freedom and sample size in parentheses, the Pearson chi-square value (rounded to two decimal places), and the significance level: The percentage of participants that were married did not differ by gender, X2(1, N = 90) = 0.89, p > . 05.

How do I report crosstabs results?

Use Crosstabs to examine trends and patterns that are driving your summary results….Setup

1. Go to Results > Reports.
2. Click Create Report > Crosstab.
3. Give your report a Title.
4. Add Your Columns, also know as Banners.
5. Next, add your Rows (aka Stubs).

How do I report at test results?

The basic format for reporting the result of a t-test is the same in each case (the color red means you substitute in the appropriate value from your study): t(degress of freedom) = the t statistic, p = p value. It’s the context you provide when reporting the result that tells the reader which type of t-test was used.

What is the purpose of using the chi square test?

Using Chi-Square Statistic in Research. The Chi Square statistic is commonly used for testing relationships between categorical variables. The null hypothesis of the Chi-Square test is that no relationship exists on the categorical variables in the population; they are independent.

What are the assumptions of chi-square test?

The assumptions of the Chi-square include: The data in the cells should be frequencies, or counts of cases rather than percentages or some other transformation of the data. The levels (or categories) of the variables are mutually exclusive.

What is the difference between t test and chi-square?

A t-test tests a null hypothesis about two means; most often, it tests the hypothesis that two means are equal, or that the difference between them is zero. A chi-square test tests a null hypothesis about the relationship between two variables.

What is a small chi square value?

The smallest chi-square value possible is 0, but there is no upper bound: it depends on the size of the numbers. Notice that the less the difference between observed and expected, the smaller the value of chisquare will be.

When would you use a chi square homogeneity test?

This lesson explains how to conduct a chi-square test of homogeneity. The test is applied to a single categorical variable from two or more different populations. It is used to determine whether frequency counts are distributed identically across different populations.