[[HOPES Project Index]] # EMA Mood Scale used - The clinician-rated [Hamilton rating scale for depression](https://www.sciencedirect.com/topics/medicine-and-dentistry/hamilton-rating-scale-for-depression "Learn more about Hamilton rating scale for depression from ScienceDirect's AI-generated Topic Pages") (HamD17), MADRS, and [clinical global impression](https://www.sciencedirect.com/topics/medicine-and-dentistry/clinical-global-impression "Learn more about clinical global impression from ScienceDirect's AI-generated Topic Pages") of severity (CGI-S) rating scale was administered by a trained rater at screen, baseline, and three subsequent study visits ([Hamilton, 1960](https://www.sciencedirect.com/science/article/pii/S0022395621000790#bib16); [Guy, 1976](https://www.sciencedirect.com/science/article/pii/S0022395621000790#bib15); [Montgomery and Asberg, 1979](https://www.sciencedirect.com/science/article/pii/S0022395621000790#bib25)).- - Participants received alert prompts to remind them to complete queries between 6 and 10 a.m. and again between 6 and 10 p.m. daily. Participants had 2 ½ hours to complete the survey once it was opened on their mobile device and could return to it anytime within that time frame. - https://www.sciencedirect.com/science/article/pii/S0022395621000790 - ![[Screenshot 2023-09-06 at 10.49.02 AM.png]] [[Daily mood monitoring of symptoms using smartphones in bipolar disorder - A pilot study]] - This paper uses another method. - "*A Visual Analog Scale was utilized to record ratings for each of the following variables: mood, energy, speed of thought and impulsivity. Participants were able to choose any point along the scale ranging from 0 to 100 by positioning a marker. The middle mark of 50 was the default position.*" - For Mood, Energy, Speed of thoughts and impulsivity - On a scale 0 to 100 (50 is default) - Asked the user to mark how they are feeling in term of mood, energy, speed of thoughts and impulsivity. - 0 is low/depressed. 100 is up and elated. [[Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports Parental Evaluations, and Passive Phone Sensor Data - Development and Usability Study]] - They got another method. - ![[Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports Parental Evaluations, and Passive Phone Sensor Data - Development and Usability Study#^c3f986]] [[Daily mood monitoring of symptoms using smartphones in bipolar disorder - A pilot study]] - ![[Daily mood monitoring of symptoms using smartphones in bipolar disorder - A pilot study#^88108f]] --- Deciding on what emotion classification system to use is not easy. - **Primary and secondary emotions**: Emotions can be categorized as primary or secondary. Primary emotions are basic and instinctual, while secondary emotions are more complex and often arise from primary emotions [2](https://www.verywellmind.com/what-are-emotions-2795178). Including a mix of primary and secondary emotions in your EMA can provide a comprehensive understanding of participants' emotional experiences. - **Discrete or dimensional classification**: Emotions can be classified as discrete, with distinct categories such as joy, sadness, anger, and fear, or on a dimensional basis, considering factors like valence (polarity), arousal (excitement), and power (dominance)[1](https://en.wikipedia.org/wiki/Emotion_classification)[4](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402961/). Choosing a classification system depends on the goals of your study and the level of detail you want to capture. - **Emotion wheels or models**: Emotion wheels, such as Plutchik's Wheel of Emotions, can help you visualize the spectrum of emotions and their relationships[5](https://positivepsychology.com/emotion-wheel/)[6](https://www.6seconds.org/2022/03/13/plutchik-wheel-emotions/). These models can be used as a reference to select a range of emotions for your EMA. - **Relevance to the study**: Consider the specific context and research question of your study when selecting emotions for your EMA. Choose emotions that are relevant to the participants' experiences and the goals of your research. - **Previous research**: Reviewing existing literature on EMA studies can provide insights into the types of emotions that have been commonly assessed in similar contexts[3](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165285/). This can help you make informed decisions about which emotions to include in your EMA. [[Profile of Mood States]] - What about this method?