{"id":30,"date":"2023-01-19T17:09:43","date_gmt":"2023-01-19T17:09:43","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introductiontopsychology\/chapter\/2-1-3-learn-it-scientific-research\/"},"modified":"2025-10-31T15:02:43","modified_gmt":"2025-10-31T15:02:43","slug":"the-scientific-method-learn-it-3","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introductiontopsychology\/chapter\/the-scientific-method-learn-it-3\/","title":{"raw":"The Scientific Method: Learn It 3\u2014Research is Verifiable and Falsifiable","rendered":"The Scientific Method: Learn It 3\u2014Research is Verifiable and Falsifiable"},"content":{"raw":"

Scientific Research Is Verifiable, Predictable, Fair, and Falsifiable<\/b><\/h2>\r\n

For scientific research to be meaningful, it must follow certain principles that make findings trustworthy and useful. Four key features are verifiability<\/b><\/span>, predictability<\/b><\/span>, fairness<\/b><\/span>, and falsifiability<\/b><\/span>.<\/p>\r\n

Verifiability<\/b><\/h3>\r\n

Verifiability<\/b><\/span> means that research findings can be replicated<\/b><\/span> by other scientists.<\/p>\r\n

To achieve verifiability, researchers must carefully document their procedures, describe their materials, and explain how and why their experiment produces certain results.<\/p>\r\n

Replication is a cornerstone of science\u2014if other researchers can repeat the study and get similar results, confidence in the findings grows.<\/p>\r\n

Predictability<\/b><\/h3>\r\n

Predictability<\/b><\/span> means that a theory allows scientists to make accurate predictions<\/b><\/span> about future events or observations.<\/p>\r\n

For example, a strong psychological theory about stress and performance might predict how people will behave under pressure.<\/p>\r\n

The more precisely a theory predicts outcomes, the stronger and more useful it becomes.<\/p>\r\n

\r\n[caption id=\"\" align=\"alignright\" width=\"348\"]\"(a)A Figure 1<\/strong>. Many of the specifics of (a) Freud's theories, such as (b) his division of the mind into id, ego, and superego, have fallen out of favor in recent decades because they are not falsifiable; for example, it is impossible to imagine empirical observations that would disprove the existence of the id, the ego, and the superego\u2014the three elements of personality described in Freud\u2019s theories. Despite this, Freud\u2019s theories are widely taught in introductory psychology texts because of their historical significance for personality psychology and psychotherapy, and these remain the root of all modern forms of therapy[\/caption]\r\n<\/section>\r\n

Fairness<\/b><\/h3>\r\n

Fairness<\/b><\/span> requires researchers to consider all the data<\/b><\/span> when evaluating a hypothesis\u2014not just the data that support their expectations.<\/p>\r\n

Cherry-picking results to make a study look successful violates the principles of scientific integrity. Every piece of data\u2014whether it supports or challenges the hypothesis\u2014must be included in the analysis.<\/p>\r\n

Falsifiability<\/b><\/h3>\r\n

Falsifiability<\/b><\/span> means that a hypothesis must be testable<\/b><\/span> and capable of being disproven<\/b><\/span> through observation or experiment.<\/p>\r\n

A good scientific hypothesis clearly specifies what evidence would show that it is false. If a hypothesis cannot possibly be proven wrong, it is not scientific.<\/p>\r\n

Hypothesis Testing and Statistical Significance<\/b><\/h3>\r\n

To determine whether a hypothesis is supported, psychologists use statistical hypothesis testing<\/b><\/span>. This process evaluates how likely it is that a study\u2019s results occurred by chance.<\/p>\r\n

    \r\n\t
  • \r\n

    If results are statistically significant<\/b><\/span>, they are unlikely to be due to random variation\u2014meaning the hypothesis is supported<\/b><\/span>.<\/p>\r\n<\/li>\r\n\t

  • \r\n

    If results are not statistically significant<\/b><\/span>, the data do not support<\/b><\/span> the hypothesis.<\/p>\r\n<\/li>\r\n<\/ul>\r\n

    Statistical testing helps researchers make evidence-based conclusions rather than relying on assumptions or bias.<\/p>\r\n

    \r\n
    \u00a0<\/div>\r\n<\/section>\r\n
    \r\n
    [ohm2_question height=\"600\"]3298[\/ohm2_question]
    \r\n[ohm2_question height=\"650\"]3299[\/ohm2_question]<\/section>\r\n<\/section>","rendered":"

    Scientific Research Is Verifiable, Predictable, Fair, and Falsifiable<\/b><\/h2>\n

    For scientific research to be meaningful, it must follow certain principles that make findings trustworthy and useful. Four key features are verifiability<\/b><\/span>, predictability<\/b><\/span>, fairness<\/b><\/span>, and falsifiability<\/b><\/span>.<\/p>\n

    Verifiability<\/b><\/h3>\n

    Verifiability<\/b><\/span> means that research findings can be replicated<\/b><\/span> by other scientists.<\/p>\n

    To achieve verifiability, researchers must carefully document their procedures, describe their materials, and explain how and why their experiment produces certain results.<\/p>\n

    Replication is a cornerstone of science\u2014if other researchers can repeat the study and get similar results, confidence in the findings grows.<\/p>\n

    Predictability<\/b><\/h3>\n

    Predictability<\/b><\/span> means that a theory allows scientists to make accurate predictions<\/b><\/span> about future events or observations.<\/p>\n

    For example, a strong psychological theory about stress and performance might predict how people will behave under pressure.<\/p>\n

    The more precisely a theory predicts outcomes, the stronger and more useful it becomes.<\/p>\n

    \n
    \"(a)A
    Figure 1<\/strong>. Many of the specifics of (a) Freud’s theories, such as (b) his division of the mind into id, ego, and superego, have fallen out of favor in recent decades because they are not falsifiable; for example, it is impossible to imagine empirical observations that would disprove the existence of the id, the ego, and the superego\u2014the three elements of personality described in Freud\u2019s theories. Despite this, Freud\u2019s theories are widely taught in introductory psychology texts because of their historical significance for personality psychology and psychotherapy, and these remain the root of all modern forms of therapy<\/figcaption><\/figure>\n<\/section>\n

    Fairness<\/b><\/h3>\n

    Fairness<\/b><\/span> requires researchers to consider all the data<\/b><\/span> when evaluating a hypothesis\u2014not just the data that support their expectations.<\/p>\n

    Cherry-picking results to make a study look successful violates the principles of scientific integrity. Every piece of data\u2014whether it supports or challenges the hypothesis\u2014must be included in the analysis.<\/p>\n

    Falsifiability<\/b><\/h3>\n

    Falsifiability<\/b><\/span> means that a hypothesis must be testable<\/b><\/span> and capable of being disproven<\/b><\/span> through observation or experiment.<\/p>\n

    A good scientific hypothesis clearly specifies what evidence would show that it is false. If a hypothesis cannot possibly be proven wrong, it is not scientific.<\/p>\n

    Hypothesis Testing and Statistical Significance<\/b><\/h3>\n

    To determine whether a hypothesis is supported, psychologists use statistical hypothesis testing<\/b><\/span>. This process evaluates how likely it is that a study\u2019s results occurred by chance.<\/p>\n

      \n
    • \n

      If results are statistically significant<\/b><\/span>, they are unlikely to be due to random variation\u2014meaning the hypothesis is supported<\/b><\/span>.<\/p>\n<\/li>\n

    • \n

      If results are not statistically significant<\/b><\/span>, the data do not support<\/b><\/span> the hypothesis.<\/p>\n<\/li>\n<\/ul>\n

      Statistical testing helps researchers make evidence-based conclusions rather than relying on assumptions or bias.<\/p>\n

      \n
      \u00a0<\/div>\n<\/section>\n
      \n